thesis title goes here - tspace
TRANSCRIPT
Delineation of Vascular Disruption and Investigation of a Bioengineered ZFP-VEGF Gene Therapy Following
Traumatic Spinal Cord Injury
by
Sarah A. Figley
A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy
Institute of Medical Science University of Toronto
© Copyright by Sarah A. Figley (2013)
ii
Delineation of Vascular Disruption and Investigation of a Bioengineered ZFP-VEGF Gene Therapy Following Traumatic
Spinal Cord Injury
Sarah A. Figley
Doctor of Philosophy
Institute of Medical Science University of Toronto
2013
Abstract
Background: Traumatic spinal cord injury (SCI) results in vascular disruption which appears to
contribute to the pathobiology of SCI. Vascular endothelial growth factor (VEGF) is known for
vascular development and repair, and more recently for its neuroprotective properties. Given this,
I investigated the temporal-spatial changes to the spinal vasculature, as well as examined the role
of VEGF as a therapeutic approach for SCI.
Hypothesis: It is hypothesized that clip-compression injury will result in significant vascular
changes, and that ZFP-VEGF gene therapy will enhance molecular and functional recovery
following spinal cord injury.
Methods: Briefly, female Wistar rats received a two-level laminectomy and a 35g clip-
compression injury at T6-T7 for 1 minute. Control animals received a laminectomy only. AdV-
ZFP-VEGF or AdV-eGFP was administered 24 hour post-injury by intraspinal injection. For
molecular and vascular analysis, tissues were extracted at various time points between 1 hour and
14 days post-SCI. For behavioural experiments animals were studied for 8 consecutive weeks.
Results: I have shown that vasculature undergoes structural and functional changes, which occur
as early as 1 hour following SCI. Although endogenous improvement is observed, SCI results in
permanent vascular damage. Animals receiving AdV-ZFP-VEGF treatment had increased levels
of VEGF mRNA and protein. AdV-ZFP-VEGF resulted in neuroprotection, as observed by
increased NF200 protein and NeuN counts, and decreased TUNEL staining. Animals treated
with AdV-ZFP-VEGF also showed an increased number of newly formed vessels (angiogenesis),
iii
as well as an increase in total number of vessels. Moreover, animals treated with AdV-ZFP-
VEGF showed significant increases in hindlimb weight support and reduction neuropathic pain.
Conclusions: I have characterized the dramatic temporal-spatial changes which occur in the
spinal vasculature following SCI. Additionally, I have demonstrated that AdV-ZFP-VEGF
administration results in beneficial molecular and functional outcomes. Overall, the results of
this study indicate that AdV-ZFP-VEGF administration can be delivered in a clinically relevant
time-window following SCI (24 hours) and provide significant molecular and neurobehavioural
benefits, by acting through angiogenic and neuroprotective mechanisms.
iv
Contributions
For the research described in this thesis, I maintain primary accountability for all results and
interpretation of such results. I was principally responsible for the experimental design and
execution of the project, including surgical procedures, animal care/ethics, behavioural testing,
tissue processing, data collection/quantification, data analysis, data interpretation, and writing of
this document. However, I acknowledge that I received substantial assistance from lab members
who are experts in certain scientific areas, and I was responsible for training a number of
research students who significantly contributed to the collection of the data displayed in this
thesis. Therefore, I wish to formally recognize the scientific contributions of these individuals
for their involvement in this research.
Dr. Kajana Satkunendrarajah collected and analyzed all electrophysiological data from
animals at 8 weeks following injury. Additionally, Kajana was involved in the interpretation and
discussion of the electrophysiology data.
Spyros Karadimas assisted with Catwalk™ data collection for long-term behavioural
experiments. Spyros was solely responsible for paw/print identification and data analysis of the
fore-limb and hindlimb gait data acquired by the Catwalk™ system.
Ramak Khosravi, Michelle Legasto, Christine Tseng, Sofia Khan, Eunice Cho, and Peter
Fettes were involved in histological sectioning of spinal cord tissue, HE/LFB staining,
immunohistochemical staining for RECA-1, Ki67, FITC-LEA, TUNEL, and NeuN,
quantification of immunohistochemistry, and lesion/tissue sparing analysis for 8 week post-SCI
tissues. Students also assisted in capturing microscopic images from spinal cord tissue, some of
which are used in this thesis.
v
Sangamo Biosciences (Drs. Kaye Spratt, Gary Lee, Dale Ando, Martin Giedlin and Richard
Surosky) – This project was made possible by financial, technical, and laboratory reagent
contributions from Sangamo Biosciences Inc. located in California, USA. Sangamo Biosciences
Inc. invented and patented the ZFP-VEGF gene therapy technology. Additionally, scientists
from Sangamo Biosciences Inc. generated all viral constructs used in the following experiments,
including viral development, production, and titer quantification. Sangamo also provided
scientific review of the project and manuscripts.
Yang Liu and Dr. Sherri Steele provided extensive surgical and behavioural assessment
training to me during my research.
Behzad Azad provided substantial post-operative animal care for animals in all experiments
throughout my entire thesis. He was also involved in long-term behavioural assessments.
vi
Acknowledgments
In many ways, this (albeit small) section of my thesis, is the most important of all. The people
who have been part of my “Ph.D. journey” have helped me maintain my sanity, stay focused,
grow, learn, have fun, stay active and become a fantastic scientist (ok… I might be biased on
that, but we can all agree that I’ve become a bit of a scientist). This thesis encompasses over five
amazing years of laughter, blood, sweat and tears (not too many tears), and I could not have done
it alone – nor would I have wanted to. To all the people who been involved along the way – in
any way, big or small – I cannot thank you enough. In no particular order, I would like to say a
special thank you to the following people:
To Dr. Fehlings: Thank you for taking me on as a graduate student. Although I came into the
lab with no neuroscience experience/knowledge, you believed in me. I have enjoyed my time as
a member of your research group, and I want to thank you for this wonderful opportunity. Thank
you for your mentorship and allowing me to work and learn independently. Academically, your
lab offered a rich learning environment; however, it was the people in the lab (some who have
turned into life-long friends) that truly made the experience.
To my Program Advisory Committee – Dr. Eubanks, Dr. Koeberle and Dr. Marsden:
Thank you for your mentorship, guidance and support. Thank you for forcing me to “think
outside the box”, and achieve my full potential as a scientist.
To my parents – Don and Shirley: The words “thank you” do not begin to describe my
gratitude for everything you have given, taught, or shared with me. Thank you for your support,
your love and your guidance. Thank you for teaching me the value of hard work, but also for
vii
encouraging me to have fun, experience new things, and enjoy life outside of work. I couldn’t
have done this degree without you guys. I love you.
To Chase: you are an inspiration to any scientist. Your enthusiasm and dedication to
understanding science (and REALLY getting it, not just pretending to get it) is a quality that I
admire. You have a passion for science and learning that is contagious, which is partially why I
like spending so much time with you . Although PhD’s run in the family, I can honestly say
that starting grad school and pursuing a PhD was definitely a “side effect” of striving to be like
you – perhaps this is the highest form of flattery. Thank you for all your supportive and
motivating talks over the years… It was truly a blessing to have someone who was so
considerate and empathetic.
To Alisha: you are amazing and one of my best friends! In addition to all the good times and
laughs we have shared together, you have also kept me grounded on my grad school journey.
You have been so kind and encouraging at every step of the way. You keep telling me, “You can
have anything you want… just work your butt off for it!” This is exactly what I needed to hear.
Thank you for being the wisest and most motivating younger sibling.
To Jessica: thanks for everything you’ve taught me about life and the search for internal
happiness. As someone who “dances to the beat of their own drum”, you have inspired me to
seek passion, love, and genuine enjoyment in things that are different than from what people
expected for us. You have the greatest compassion for this world and every living thing on this
planet, and everyone who has ever met you should feel so lucky to have had you in their
company. Thanks for all the laughs, cries, debates, adventures, dancing, and baking fiascos…
Here’s hoping that in the years to come we share a million more memories together! xo
viii
To my Grandparents - Lorne, Jo, Fred and June: Thank you for your love, hugs, and
childhood memories. Thanks for raising your kids right… They turned out to be the best parents
you could ask for.
To Dionne, Ashley and Lindsay: You three lovely ladies are the best friends a girl could ask
for! Thank you for helping me through my education and my life! You always seem to give the
best advice, or know the right thing to say. Without you, my journey through life, school and
Toronto would have been terrible… Although, I think we can all agree that it might have been
less expensive if you weren’t around . It hasn’t been an easy five years apart, and I appreciate
your love, patience, guidance and faith in our friendship. As promised, I’m finally returning
home so we can be together like old times. Let the fun begin!
To John Weil: Thank you for all the stories you shared, and for everything you ever taught me.
Your love and commitment to science was inspirational, and it is partly because of you that I
made it to where I am today. You were a dear friend and I will miss you.
To Rosemary Marchant: Living in Toronto, I have very much enjoyed getting to know you as
an adult. You have been so kind, generous, supportive and helpful in all of my endeavours
(academic, or not). Knowing you exposed me to many of my favourite Toronto memories:
Massey College, and all of the wonderful friends that I made there. You are a gracious host, and
a loving soul. Thank you for everything.
To Massih: Graduate school would have been so different without you, and I am forever grateful
that our paths crossed! You are a great friend, a wonderful scientist, and someone who I admire
and respect. Thanks for all the social outings, the debates, the coffee breaks, and the late nights
at the lab… Having you around made my PhD infinitely more enjoyable!
ix
To Alex Weber: You and I can go for months without talking, and just pick up right where we
left off… That’s how I know we’ll be friends for a long time! Thanks for being such a positive
part of my life and always making me smile.
To the Fehlings’ Team – Sherri Steele, James Rowland, James Austin, Kajana
Satkunendrarajah, Hoang Nguyen, Nicole Forgione, Hamideh Emrani, Ryan Salewski, Jared
Wilcox, Spyros Karadimas, Alex Laliberte, Sukhvinder Kalsi-Ryan, Stuart Faulkner, Allyson
Tighe, Amy Lem, Rahki Sharma, Yang Liu, Behzad Azad, and Jian Wang: Thank you for
teaching me everything I know! You’ve been so helpful and compassionate along the way, and
I am forever grateful.
To Jennifer Jin, Eva Dias and Sara Züger: You’re my original lab/science friends! I’m so
lucky to have maintained great friendships with you over the years. Thanks for all your support
and words of kindness along the way.
To Shelby (and the Sebestyen-McLean clan): You are my oldest childhood friend, and we’ve
shared so many memories together! It’s hard to believe how far we’ve come since those care-
free summers at the lake, but I’m so happy that you’ve been around for the journey of “growing
up”! Whenever I need to be cheered up, I know I can always count on you for a laugh. xo
To Matt Hassler: You’re like a second brother to me; always providing the right combination of
pestering mixed with love. I enjoyed our journey through grad school together… It’s always nice
to have someone to commiserate with . Thanks for all the laughs, support and hugs over the
years, and hopefully we’ll live closer together someday soon!
To Eunice Cho, Sofia Khan, Ramak Khosravi, Michelle Legasto, Christine Tseng and Peter
Fettes: THANK YOU!!! I truly could not have accomplished everything in my research
x
without your help, and I am forever in your debt. Thank you for being so dedicated and
interested in science.
To Massey College and John Fraser: Thank you for being my “home away from home”.
Massey College holds many of my fondest memories of living in Toronto, and I cannot begin to
express my gratitude for the opportunity to be part of this wonderful community! Master Fraser,
you have built and maintained an environment that is all-inclusive, genuine, and diverse, and I
will always remember and cherish the time I spend at Massey. I hope to be back for a visit soon!
To the Chapman Family: All I can say is that I wish I would have met you 5 years ago! The
time we have spent together has been amazing and my only regret is that we didn’t have more of
it. You are a lovely, fun, athletic, and kind family, and I thank you for letting me be a part of it.
Thanks for your motivation and support along this journey… It wouldn’t have been the same
without you!
To Scott and Paulette Batson: You are two of the nicest people in this world!! Thank you for
accepting me into your family with such open arms, and taking care of me over the years. It’s
difficult to express the extent of my gratitude in words, but just know that I am forever thankful
for all your kindness and the time we shared (and hopefully will continue to share) together.
To Morgan: Thank you for being such an amazing friend (in fact, you’re more like a sister).
You’re so many things: smart, kind, pretty, graceful, fun, spontaneous, loveable, genuine,
dedicated, passionate, reliable, honest and caring… And you have been each of these things
to/for me. Most of all, you’re always the “voice of reason”, so thanks for keeping me in line!
We’ve made some great memories over the years, and I’m really looking forward to whatever
crazy idea(s) we come up with next
xi
To Laura, Glynn and Kate: I wish we had met in my first years of being in Toronto, instead of
the last few… But life isn’t always fair. Thanks for making so many good memories filled with
uncontrollable laughter and inside jokes, and being supportive through the bad ones. When I’m
out riding (not hills, because those aren’t in the prairies) I’ll be thinking of you!
To Ben: You are one of my best friends, and one of my favourite people in this world. I respect
you, and have always valued your opinions and friendship. You have taught me many things
about the world and about myself, which have shaped me (I hope) into a better person. For this,
I am eternally thankful. You’re one of the most dedicated, driven people I know (sometimes too
much for your own good), but you somehow remain calm and poised while doing an amazing job
– this is to be admired. Your dedication and perseverance are contagious, and these qualities
helped get me to where I am today. To say, “I couldn’t have done it without you”, would be a bit
much (I probably could have ), but this PhD and the adventures of my life certainly wouldn’t
have been as much fun without you! And now, you can finally stop asking “how’s your thesis
coming along?”… Because, here it is! Xo
To John Mayer: Your songs have kept me company (and awake) for many long, late nights at
the lab. Thank you for making music that is beautiful.
xii
Abbreviations
AAV Adeno-Associated Virus
AdV Adenovirus
AdV-ZFP-VEGF Adenovirus Synthesizing a VEGF Specific Zinc-Finger Protein
AIB α-Aminoisobutyric Acid
AJ Adherens Junction
Akt A Serine/Threonine-specific Protein Kinase
Ang Angiopoietin
ASIA American Spinal Injury Association
ATP Adenosine Triphosphate
BBB Blood Brain Barrier
BBB scale Basso, Beattie, Bresnahan Locomotor Rating Scale
BCFB Blood-Cerebrospinal Fluid Barrier
BDNF Brain Derived Neurotrophic Factor
BSCB Blood-Spinal Cord Barrier
Ca2+ Calcium
Caspase Cysteine Protease, Which Cleaves at an Aspartate Residue
CNS Central Nervous System
COX-1/COX-2 Cyclooxygenase-1 or -2
CPG Central Pattern Generator
CsA Cyclosporin-A
CSF Cerebrospinal Fluid
CSPG Chondroitin Sulfate Proteoglycan
xiii
Da Dalton
DMF N,N'-dimethylformamide
DNA Deoxyribonucleic Acid
DRG Dorsal Root Ganglion
EB Evans Blue
ECF Extracellular Fluid
ECM Extracellular Matrix
EGF Epidermal Growth Factor
Erk Extracellular Signal-regulated Kinases
HAMC Hyaluronic Acid Methyl Cellulose
HRP Horseradish Peroxidase
IGF-1 Insulin-like Growth Factor 1
IHC Immunohistochemistry
IL Interleukin
K+ Potassium
KDa Kilodalton
LFB Luxol Fast Blue
LIF Leukemia Inducing Factor
MAPK Mitogen Activated Protein Kinase
MMP Matrix Metalloproteinase
MPSS Methylprednisolone
MPTP Mitochondrial Permeability Transition Pore
MW Molecular Weight
Na+ Sodium
xiv
NASCIS National Acute Spinal Cord Injury Study
NVU Neurovascular Unit
NFkB Nuclear Factor Kappa Light Polypeptide Gene Enhancer in B-
Cells
NGF Nerve Growth Factor
NO Nitrous Oxide
NP Neuropilin
NPC Neural Precursor Cell
OPC Oligodendrocyte Precursor Cell
p38 p38 MAPK
PAGE Poly Acrylamide Gel Electrophoresis
PBS Phosphate Buffered Saline
PDGF Platelet Derived Growth Factor
PECAM-1 Platelet Endothelial Cell Adhesion Molecule 1
PEG Polyethylene Glycol
PFU Plaque Forming Units
PGE2 Prostaglandin E2
PI3K Phosphatidylinositol 3-Kinase
PLGF Placental Growth Factor
PTS Post-Traumatic Syringomyelia
PVS Perivascular Space
qRT-PCR Quantitative Real-Time Polymerase Chain Reaction
Ras Small GTPase Involved in Cell Signaling
ROS Reactive Oxygen Species
xv
SAS Subarachnoid Space
SCI Spinal Cord Injury
TBI Traumatic Brain Injury
TGF-β Tissue Growth Factor Beta
TJ Tight Junction
TNF-α Tumor Necrosis Factor Alpha
TNFR Tumor Necrosis Factor Receptor
TUNEL Deoxynucleotide Transferase dUTP Nick End-Labeling
VE-Cadherin Vascular Endothelial Cadherin
VEGF Vascular Endothelial Growth Factor
VEGF-NPC VEGF Over-expressing Neural Precursor Cell
VEGFR Vascular Endothelial Growth Factor Receptor
VHL Von Hippel-Lindau
ZFP Zinc-Finger Protein
ZO-1/ ZO-2/ ZO-3 Zona Occludens
xvi
Table of Contents
Abstract ........................................................................................................................................... ii
Contributions .................................................................................................................................. iv
Acknowledgments .......................................................................................................................... vi
Abbreviations ................................................................................................................................ xii
Table of Contents ......................................................................................................................... xvi
List of Figures ............................................................................................................................. xxii
List of Tables .............................................................................................................................. xxv
List of Appendices ..................................................................................................................... xxvi
Chapter 1 ....................................................................................................................................... 1
1 Introduction ................................................................................................................................ 1
1.1 Overview of Spinal Cord Injury ......................................................................................... 1
1.2 Anatomy of the Spinal Cord ............................................................................................... 2
1.2.1 Neuroanatomy of the Spinal Cord .......................................................................... 2
1.2.2 The Meninges .......................................................................................................... 6
1.2.3 Vascular Organization and Blood Flow .................................................................. 7
1.2.4 Cerebrospinal Fluid ............................................................................................... 12
1.2.5 The Blood-Spinal Cord and Cerebrospinal Fluid Barriers ................................... 12
1.3 Epidemiology of Spinal Cord Injury ................................................................................. 18
1.4 Primary and Secondary Injury .......................................................................................... 20
1.5 Animal Models of Spinal Cord Injury .............................................................................. 21
1.6 Neurological Function Following Spinal Cord Injury ...................................................... 23
1.6.1 Motor Function ..................................................................................................... 23
1.6.2 Sensory Function .................................................................................................. 25
1.6.3 Autonomic Function ............................................................................................. 25
xvii
1.7 Secondary Injury ............................................................................................................... 26
1.7.1 Summary of Secondary Injury Progression .......................................................... 27
1.7.2 The Acutely Injured Spinal Cord .......................................................................... 29
1.7.3 The Sub-Acutely Injured Spinal Cord .................................................................. 37
1.7.4 The Intermediate Phase ......................................................................................... 42
1.7.5 The Chronically Injured Spinal Cord .................................................................... 42
1.8 Non-Traumatic Causes of Spinal Cord Injury .................................................................. 44
1.9 Therapeutic Targets .......................................................................................................... 45
1.9.1 Cell Transplantation .............................................................................................. 45
1.9.2 Molecular and Neuroprotective Therapies ............................................................ 48
1.9.3 Rehabilitation Therapies ....................................................................................... 50
1.10 Summary of Spinal Cord Injury ........................................................................................ 51
1.11 Vascular Growth and Development .................................................................................. 52
1.11.1 Vasculogenesis ...................................................................................................... 53
1.11.2 Angiogenesis ......................................................................................................... 56
1.12 Vascular Endothelial Growth Factor ................................................................................ 59
1.12.1 Molecular Biology of VEGF ................................................................................ 59
1.12.2 VEGF Receptors and VEGF Signaling ................................................................. 61
1.12.3 Regulation of VEGF ............................................................................................. 65
1.12.4 VEGF in Models of Neurotrauma ......................................................................... 67
1.12.5 Angiogenesis Following Injury ............................................................................. 69
1.13 Gene Therapy .................................................................................................................... 70
1.14 ZFP-VEGF Technology and Production of VEGF ........................................................... 72
Chapter 2 ..................................................................................................................................... 78
2 General Methods ...................................................................................................................... 78
2.1 Animal Model of SCI and Intraspinal Injections .............................................................. 78
xviii
2.2 Viral Vector Constructs .................................................................................................... 80
2.3 Western Blotting ............................................................................................................... 81
2.4 Evans Blue: Blood-Spinal Cord Barrier Disruption ......................................................... 83
2.5 Histochemistry .................................................................................................................. 83
2.5.1 Histological Processing ......................................................................................... 83
2.5.2 Immunohistochemistry ......................................................................................... 84
2.5.3 Quantification of Blood Vessels ........................................................................... 85
2.5.4 Identification of Functional Blood Vessels ........................................................... 86
2.5.5 Quantification of Apoptosis .................................................................................. 88
2.5.6 Quantification of Neurons ..................................................................................... 88
2.5.7 Quantification of Angiogenesis ............................................................................ 88
2.5.8 Assessment of Tissue Sparing and Cavity Formation .......................................... 89
2.6 Behavioural Testing .......................................................................................................... 89
2.6.1 Open-Field Locomotor Scoring ............................................................................ 89
2.6.2 Automated Gait Analysis (Catwalk™) ................................................................. 90
2.6.3 Neuropathic Pain: Von Frey Filaments ................................................................. 91
2.7 Electrophysiology ............................................................................................................. 92
2.7.1 Motor Evoked Potentials ....................................................................................... 92
2.7.2 H-Reflex ................................................................................................................ 93
2.8 Statistical Analysis ............................................................................................................ 93
Chapter 3 ..................................................................................................................................... 95
3 Characterization of Vascular Disruption and Blood-Spinal Cord Barrier Permeability Following Traumatic Spinal Cord Injury ................................................................................. 95
3.1 Abstract ............................................................................................................................. 95
3.2 Introduction ....................................................................................................................... 96
3.3 Objective ......................................................................................................................... 100
xix
3.4 Hypothesis ....................................................................................................................... 100
3.5 Specific Aims .................................................................................................................. 100
3.6 Methods ........................................................................................................................... 101
3.7 Results ............................................................................................................................. 106
3.7.1 BSCB permeability following SCI ..................................................................... 106
3.7.2 Spatial-temporal disruption of the vasculature ................................................... 108
3.7.3 Endogenous Angiogenesis Occurs Following SCI ............................................. 117
3.8 Discussion ....................................................................................................................... 119
3.9 Conclusions ..................................................................................................................... 122
Chapter 4 ................................................................................................................................... 124
4 Delayed AdV-ZFP-VEGF Administration Provides Neuroprotection and Promotes Angiogenesis Post-SCI........................................................................................................... 124
4.1 Abstract ........................................................................................................................... 124
4.2 Introduction ..................................................................................................................... 125
4.3 Objective ......................................................................................................................... 127
4.4 Hypothesis ....................................................................................................................... 127
4.5 Specific Aims .................................................................................................................. 127
4.6 Methods ........................................................................................................................... 128
4.7 Results ............................................................................................................................. 135
4.7.1 AdV-ZFP-VEGF Delivery into the Injured Spinal Cord .................................... 135
4.7.2 VEGF mRNA and protein expression is increased following 24 hour delayed AdV-ZFP-VEGF administration ......................................................................... 138
4.7.3 Apoptosis is reduced in animals treated with AdV-ZFP-VEGF 24 hours post-SCI ...................................................................................................................... 140
4.7.4 24 hour delayed AdV-ZFP-VEGF administration provides neuroprotection ..... 143
4.7.5 24 hour delayed AdV-ZFP-VEGF administration results in an increased number of vessels ................................................................................................ 147
4.7.6 AdV-ZFP-VEGF promotes angiogenesis ........................................................... 149
xx
4.8 Discussion ....................................................................................................................... 151
4.9 Conclusions ..................................................................................................................... 153
Chapter 5 ................................................................................................................................... 154
5 AdV-ZFP-VEGF Results in Functional Improvements and Reduced Allodynia Following SCI.......................................................................................................................................... 154
5.1 Abstract ........................................................................................................................... 154
5.2 Introduction ..................................................................................................................... 155
5.3 Objective ......................................................................................................................... 157
5.4 Hypothesis ....................................................................................................................... 157
5.5 Specific Aims .................................................................................................................. 157
5.6 Methods ........................................................................................................................... 158
5.7 Results ............................................................................................................................. 166
5.7.1 AdV-ZFP-VEGF results in functional improvement .......................................... 166
5.7.2 AdV-ZFP-VEGF does not result in improved BBB scores ................................ 170
5.7.3 Delayed AdV-ZFP-VEGF administration does not improve motor evoked potentials or H-reflex following SCI .................................................................. 172
5.7.4 AdV-ZFP-VEGF administration significantly reduces allodynia ....................... 174
5.7.5 AdV-ZFP-VEGF treatment results in spared grey matter, but not white matter tissue at 8 weeks post-SCI .................................................................................. 177
5.8 Discussion ....................................................................................................................... 180
5.9 Conclusions ..................................................................................................................... 183
Chapter 6 ................................................................................................................................... 185
6 General Discussion and Future Directions ............................................................................. 185
6.1 Potential mechanisms of VEGF-A treatment ................................................................. 186
6.2 Vasculature damage plays an important role in SCI ....................................................... 188
6.3 Targeting the neurovascular niche .................................................................................. 189
6.4 Advantages of AdV-ZFP-VEGF compared to other VEGF therapies ............................ 190
xxi
6.5 Potential disadvantages of VEGF therapies .................................................................... 191
6.6 Comparison of Results to Other SCI Therapies .............................................................. 192
6.6.1 AdV-ZFP-VEGF: Immediate vs. 24-hour Administration ................................. 192
6.6.2 Comparison to Other Vascular Therapies ........................................................... 196
6.6.3 Comparison to Other Neuroprotective Therapies ............................................... 197
6.7 Future Research .............................................................................................................. 199
6.7.1 Investigating the Glial Scar and Inflammation ................................................... 199
6.7.2 Alternative ZFP-VEGF Delivery ........................................................................ 201
6.7.3 Elucidating the Functional and Sensory Benefits of AdV-ZFP-VEGF .............. 206
6.7.4 Imaging Vascular Changes Using a Spinal Cord Window Chamber ................. 206
6.7.5 Further Investigation of the Blood-Spinal Cord Barrier ..................................... 207
6.7.6 Multiple Angiogenic Factors as a Potential Treatment Option .......................... 209
6.8 Final Conclusions ............................................................................................................ 210
References ................................................................................................................................... 211
xxii
List of Figures
Figure 1. The arrangement of the spinal cord segments ................................................................. 5
Figure 2. The meninges of the spinal cord ..................................................................................... 7
Figure 3. The vascular supply of the spinal cord ......................................................................... 11
Figure 4. The blood-spinal cord barrier and neurovascular unit .................................................. 14
Figure 5. Causes of spinal cord injury ......................................................................................... 19
Figure 6. Schematic of secondary injury pathophysiology .......................................................... 28
Figure 7. Temporal progression of spinal cord injury pathophysiology ...................................... 29
Figure 8. Vascular development .................................................................................................. 55
Figure 9. VEGF gene and splice isoforms ................................................................................... 60
Figure 10. VEGF Receptors ....................................................................................................... 62
Figure 11. VEGFR-2 signaling ................................................................................................... 63
Figure 12. Hypoxic regulation of VEGF .................................................................................... 66
Figure 13. ZFP-VEGF technology .............................................................................................. 73
Figure 14. Model of spinal cord injury and intraspinal injections .............................................. 80
Figure 15. ZFP-VEGF expression cassette ................................................................................. 81
Figure 16. Schematic of immunohistochemistry quantification ................................................. 86
Figure 17. Femoral vein injections ............................................................................................. 87
Figure 18. Blood-spinal cord barrier permeability following traumatic SCI ............................ 107
xxiii
Figure 19. Spatial-temporal disruption of the spinal cord vasculature following clip-compression
injury .......................................................................................................................................... 110
Figure 20. Vascular disruption of the grey matter following traumatic SCI ............................ 115
Figure 21. Vascular disruption of the white matter following traumatic SCI .......................... 116
Figure 22. Endogenous angiogenic response after traumatic thoracic SCI .............................. 118
Figure 23. Transduction of AdV-eGFP into the spinal cord ..................................................... 137
Figure 24. Evaluation of AdV-ZFP-VEGF gene transfer ......................................................... 137
Figure 25. AdV-ZFP-VEGF increases VEGF mRNA and protein ........................................... 140
Figure 26. AdV-ZFP-VEGF administration reduces apoptosis after SCI . ............................... 143
Figure 27. AdV-ZFP-VEGF administration attenuated axonal degradation ............................ 144
Figure 28. AdV-ZFP-VEGF administration results in increased neuron sparing post-SCI ..... 147
Figure 29. AdV-ZFP-VEGF results in increased vessel counts ............................................... 149
Figure 30. AdV-ZFP-VEGF promotes angiogenesis at 5 days post-SCI ................................. 151
Figure 31. AdV-ZFP-VEGF improves hindlimb weight support ............................................. 168
Figure 32. Forelimb and Hindlimb locomotion is improved by AdV-ZFP-VEGF administration
..................................................................................................................................................... 170
Figure 33. AdV-ZFP-VEGF does not improve open-field walking (BBB) scores following SCI
..................................................................................................................................................... 171
Figure 34. Electrophysiological assessment following AdV-ZFP-VEGF administration ........ 174
Figure 35. AdV-ZFP-VEGF significantly reduces allodynia at 8 weeks post-SCI .................. 177
Figure 36. Tissue sparing quantification at 8 weeks post-SCI .................................................. 180
xxiv
Figure 37. 24 hour delayed AAV-ZFP-VEGF administration does not result in beneficial
outcomes following SCI ............................................................................................................ 196
xxv
List of Tables
Table 1. American Spinal Injury Association (ASIA) Impairment Scores ................................ 24
Table 2. Factors involved in angiogenesis .................................................................................. 53
Table 3. Antibodies used in Western Blot analysis .................................................................... 82
Table 4. Antibodies used in immunohistochemistry ................................................................... 85
Table 5. Animals used in Chapter 3 experiments ..................................................................... 105
Table 6. Spatial and temporal data from FITC-LEA and RECA-1 analysis ............................ 111
Table 7. Animals used in Chapter 4 experiments ..................................................................... 134
Table 8. Animals used in Chapter 5 experiments ..................................................................... 165
xxvi
List of Appendices
Appendix 1. Immediate Administration of AdV-ZFP-VEGF Following SCI .......................... 240
Appendix 2. A Novel Spinal Cord Window Chamber For In Vivo Imaging ............................ 250
Chapter 1
1 Introduction
1.1 Overview of Spinal Cord Injury
Spinal cord injury (SCI) – which can result from sudden trauma or progressive spinal cord
diseases – is a devastating event. Patients suffering from SCI experience significant functional
and sensory deficits, as well as emotional, social and financial burdens. Additionally,
individuals with spinal cord injury have an increased risk for other health conditions, including
cardiovascular complications, deep vein thrombosis, osteoporosis, pressure ulcers, autonomic
dysreflexia and the development of neuropathic pain [1]. In North America, it is estimated that
approximately 1.5 million individuals are currently living with SCI, with over 12,000 new cases
occurring each year [2].
By convention, spinal cord injuries can be divided into two events: a primary and a secondary
injury, which refer to the physical injury and the subsequent physiological cascade, respectively
[3]. It is well established that pathophysiological processes which occur in the secondary injury
phase are largely responsible for exacerbating the initial damage. These pathological processes
– inflammation, ischemia, lipid peroxidation, production of free radicals, disruption of ion
channels, necrosis and programmed cell death – are rapidly initiated in response to the primary
injury and, for the most part, are inhibitory towards endogenous regeneration and repair
mechanisms [4, 5]. The spatial and temporal dynamics of these secondary mediators are
fundamental to SCI pathophysiology and will be a discussed in more detail later.
1
Clinical evaluation and treatment of human patients is complicated by the heterogeneous nature
of SCI, which results in variable outcomes for each individual injury. In recognizing the drastic
variations of human injuries, the scientific community has been driven to develop and investigate
a variety of different animal models. More specific animal models may allow for better
translational success, since very few studies that have shown pre-clinical promise result in
similar efficacy upon translation into the clinic.
In the past decade, significant advances have been made which have notably contributed to
understanding the complexity of SCI pathophysiology. However, despite advances in pre-
hospital care, medical and surgical management and rehabilitation approaches, many patients
with acute SCI still experience substantial neurological disability. Intensive efforts are currently
underway to develop effective neuroprotective and neuroregenerative strategies. This chapter
aims to summarize the pathophysiological mechanisms initiated as a result of SCI, and in
addition, briefly highlight some potential molecular targets/processes which may benefit from
therapeutic intervention.
1.2 Anatomy of the Spinal Cord
1.2.1 Neuroanatomy of the Spinal Cord
The spinal cord is a long, thin, tubular bundle – consisting of nerves and neuroglia – that extends
42 – 48 centimeters (on average in humans) distally inside the vertebral column from the
brainstem, specifically the medulla oblongata [6]. The cord measures between 0.6 cm and 1.3
cm in width, with the broadest areas located at the cervical and lumbar enlargements. The spinal
2
cord performs three major functions: 1) Acts as a channel for transmitting descending motor
information, 2) Acts as a conduit for ascending sensory information, and 3) Serves as a central
hub for coordinating reflexes, via numerous central pattern generators [7].
The spinal cord is arranged into two distinct regions: white and grey matter. In cross-section,
the white matter is found laterally surrounding a central butterfly-shaped grey matter [8]. The
outer white matter contains myelinated axons, comprising sensory and motor tracts; whereas the
grey matter consists of motorneuron, interneuron, and sensory neuron cell bodies, which are
arranged into functional groups of cells called nuclei. The grey matter surrounds the central
canal, which carries cerebrospinal fluid (CSF) to the spinal cord as an anatomical extension of
the ventricles in the brain [8].
Within the spinal cord, there are a total of 31 segments, which act to synchronize all peripheral
sensory and motor functions (Figure 1). Similar to the vertebral column, the spinal cord is sub-
divided into segments – 8 cervical, 12 thoracic, 5 lumbar, 5 sacral and 1 coccygeal – however,
these do not directly correspond to the vertebral segments in the adult, especially below the
lumbar region (Figure 1) [6]. At each segmental level, left and right pairs of spinal roots, from
ventral (motor; exiting the cord) and dorsal (sensory; entering the cord) rootlets, combine to form
spinal nerves on both sides of the spinal cord. The spinal nerves are labeled according to the
level they emerge from the vertebral canal. C1-7 nerves emerge above their respective vertebrae,
and C8 emerges between the seventh cervical and first thoracic vertebrae. The subsequent
thoracic, lumbar and sacral nerves emerge below the level of their respective vertebrae,
eventually resulting in the cauda equina at the most caudal end of the spinal cord. The brachial
plexus innervates the upper limbs, and is controlled by sensory input and motor output in the
3
cervical enlargement, spanning C4 to T1 spinal segments [6]. The lumbar enlargement is an
analogous structure to the cervical enlargement, which is located between L1 and S3 spinal
segments. It is innervated by the lumbosacral plexus, which is responsible for movement and
sensation in the lower limbs [6].
4
Figure 1. The arrangement of the spinal cord segments. The spinal cord is divided into
cervical, thoracic, lumbar and sacral regions. Each segment is responsible for innervating
5
distinct areas of the body, with individual spinal nerves projecting to specific targets. Spinal
nerves exit the spinal column below their corresponding vertebral segment, with the exception of
the cervical nerves (since there are only 7 vertebrae and 8 nerves). The spinal cord ends at L1-
L2 where a dense network of lumbar and sacral spinal projections (called the cauda equina) fills
the spinal column. Anatomical enlargements in the cord occur in the cervical (C4-T1) and in the
lumbar (cord level: L1-S3; vertebral level: T9-T12), which correspond to an increased in the
number of motor neurons found in these areas. Figure drawn by Sarah A. Figley.
1.2.2 The Meninges
Between the vertebral column and the cord, the spinal cord is surrounded by fatty tissue,
lympathics, and a network of thin-walled vessels (creating the epidural venous plexus), which
comprise the epidural space [9]. Around the cord, spinal meninges form three protective layers
around the spinal cord (Figure 2) [6]. The outermost layer, the dura mater (literally meaning
“tough mother”), provides protection to the spinal cord and maintains its structure. The middle
layer, the arachnoid mater (named for its spiderweb-like appearance), provides a cushion by
retaining the CSF in the subarachnoid space (SAS). The deepest layer, the pia mater (meaning
“tender mother), forms a fragile layer of fibroblasts around the spinal cord that tightly follows
the contour of the spinal cord. The pia mater acts as the barrier between the CSF and the
vascular supply, directly associating with the glial limitans: a collection of astrocytic end feet
that provide a physical and immunological barrier into the CNS, and is a major component of the
blood-spinal cord barrier (BSCB) [10-12].
6
Figure 2. The meninges of the spinal cord. The spinal cord in surrounded by three protective
layers: pia, arachnoid, and dura mater. These layers provide structural support, as well as
protective cushioning to the spinal cord. The vasculature runs along the pia mater, branching
inward along the spinal axis at various levels. Figure drawn by Sarah A. Figley.
1.2.3 Vascular Organization and Blood Flow
The blood supply of the spinal cord is provided by three major arteries (2 posterior spinal
arteries, and 1 anterior spinal artery), and by a number of peripheral arteries
(medullary/segmental arteries) that feed the longitudinal spinal arteries at various segmental
levels (Figure 3) [6]. Posterior arteries supply the dorsal 1/3rd of the cord, while anterior arteries
supply the other 2/3rds of the spinal cord – namely the grey matter, and the ventral white matter.
The major spinal arteries are supplied by the aorta, which branches into vertebral arteries, and
eventually provide blood to the posterior and anterior spinal arteries. The spinal arteries are
located in the subarachnoid space, and branch into the cord along the rostrocaudal axis. The
7
blood flows caudally through these arteries (derived from the posterior cerebral circulation);
however, this blood supply is insufficient to maintain the vascular demands of the spinal cord
below the cervical regions, therefore, posterior and anterior radicular arteries directly enter the
spinal cord along the nerve roots, bypassing the major dorsal and ventral arteries. These
intercostal and lumbar radicular arteries, which arise from the aorta, provide large anastomoses
around the cord (termed the “vasocorona” – the connection of posterior and anterior blood
supplies) and supplement the blood flow to the spinal cord, particularly the lateral white matter
[13]. The medullary arteries are irregular and sporadically distributed along the spinal axis;
however, they are more prominent where blood supply demands are increased – namely the
cervical and lumbar enlargements. The grey matter of the spinal cord is highly vascularized
(approximately four-times more than the white matter), due to the metabolic demands of the
neuronal cell bodies. Therefore, grey matter is particularly susceptible to vascular and ischemic
injury [14].
Other areas of the spinal cord that are highly vulnerable to ischemia are watershed zones [15]. In
the spinal cord, watershed zones are located in the mid-thoracic region [16]. Watershed zones
are vascularized by two arterial supplies stemming from the most distal branches of large
vessels. These blood supplies do not overlap or connect, but rather provide blood to the same
areas via two distinct sources. The dual vascular supply protects these areas in the event of an
arterial blockage (presumably the other vessel is not occluded and will continue to deliver
blood); however, in the case of systemic hypotension, these areas experience hypoxia/ischemia
and are susceptible to neuronal damage.
8
The venous system of the spinal cord closely parallels the arterial supply, with capillaries and
veins directly adjacent to arterial vessels [17]. The spinal veins create and extensive network and
drain via anterior and posterior radicular veins, which lead to the internal (epidural space) and
external (vertebral surface) vertebral venous plexus via vertebral veins. The venous system of
the spinal cord has no valves; therefore, blood is free to enter the systemic venous circulation.
Ultimately, the blood of the spinal cord either i) flows superiorly inside the vertebral canal and
connects to the veins of the skull, or ii) enters the inferior vena cava and is transported directly to
the heart. The venous transport route depends on the spinal level.
9
Figure 3. The vascular supply of the spinal cord. A) Posterior and anterior views of the spinal
cord vascular network. Spinal arteries, which start at the base of the skull, run rostrocaudal
along the spinal cord. Segmental/medullary arteries, which branch from the aorta, provide
additional blood to the spinal cord since the spinal arteries are insufficient alone. B) Transverse
section of the vertebral column and the aortic vascular supply and venous drainage. The aorta
branches at various spinal levels to supplement blood flow to the cord, via segmental arteries.
Deoxygenated blood from the cord enters a local venous plexus, which eventually connects to
the systemic circulation. The area highlighted in yellow is expanded in detail in Panel “C”. C)
Vasculature of the spinal cord shown in cross-section (enlarged from Panel “B”). Posterior
arteries supply blood to the dorsal 1/3rd of the spinal cord, and anterior arteries are responsible
for providing blood to the central and ventral areas. The vasocorona is the connection between
posterior and anterior arteries and is predominantly responsible for vascularizing the lateral white
matter. Spinal veins are distributed in a similar arrangement to the arteries. Veins transport
deoxygenated blood to a number of spinal plexuses, eventually shunting the blood into the
systemic circulation via the inferior vena cava or cranial veins. Figure drawn by Sarah A.
Figley.
On an interesting note, the cardiac cycle and the arterial pulsations result in rhythmic anterior-
posterior oscillations of the spinal cord [18, 19]. Moreover, cerebrospinal fluid (CSF) flow is
also linked to persistent vascular pulsations and the cardiac cycle [20, 21].
11
1.2.4 Cerebrospinal Fluid
Cerebrospinal fluid (CSF) has two main functions: 1) to act as a protective cushion to the CNS,
and 2) to act as a pseudo lymphatic system. Daily, the human body produces approximately 500
mL of CSF, mainly via the choroid plexus of the lateral, third and fourth ventricles of the brain.
CSF flows from the third and fourth ventricles, posteriolaterally through the SAS of the spinal
cord and back up towards the brain ventrally. Flow is generated by arterial pulsations,
respiratory function and ependymal cilia movement [22-24]. In animals, there is CSF flow from
the SAS into the spinal cord parenchyma via perivascular spaces (PVS), and finally flow into the
central canal to integrate extracellular fluid (ECF) and CSF, ultimately transferring solutes
(electrolytes, proteins, etc.) [25]. Although this flow/exchange has not been confirmed in
humans, this may be a possible mechanism. The central canal itself is not associated with
longitudinal (rostral-caudal) flow of CSF as it is a non-continuous structure [26]. Water and
blood solutes are filtered by the choroid plexus, using various transporters and channels to
secrete water and the various electrolytes that comprise the CSF [27]. CSF is reabsorbed into the
venous system at the arachnoid granulations (by villi) in the sinuses of the brain [24].
1.2.5 The Blood-Spinal Cord and Cerebrospinal Fluid Barriers
1.2.5.1 The Cerebrospinal Fluid Barrier
As arteries enter the spinal cord from the SAS, they form arterioles which eventually branch to
form capillaries. These arterioles are surrounded by the pia and glia limitans; however, the pia is
eventually lost as the artery gets smaller and capillaries are formed. The space between the
12
blood vessels and neuronal/glial cells is filled with interstitial fluid (ISF), and is commonly
referred to as the Virchow-Robin space (VRS) [28]. The VRS is continuous with the
subarachnoid and sub-pial spaces, and is strictly limited to the arterial vasculature, as it is not
present around veins. The blood cerebrospinal fluid barrier (BCFB) is represented as the region
where the CSF is in direct contact with endothelial cells via the VRS.
The VRS plays an integral role in regulating fluid movement and drainage within the CNS [29].
Virchow-Robin spaces absorb fluids from neurons and glia and drain excess fluid into the
cervical lymph nodes. As described by the “tide hypothesis”, fluid flow between the VRS and
SAS is thought to be driven by the cardiac cycle [30]. Importantly, the VRS also functions as
part of the blood-brain barrier (BBB) and blood-spinal cord barrier (BSCB) and aids in
immunoregulation. [11, 31]. It is hypothesized that the VRS is where the flow of CSF and
extracellular fluid (ECF) occurs between the central canal, spinal cord parenchyma and SAS
[25].
1.2.5.2 The Blood-Spinal Cord Barrier
The blood-spinal cord barrier (BSCB) acts as a physical and biological barrier in the separation
of circulating blood and ECF within the CNS [11, 31]. Most importantly, the roles of the
BSCB/BBB are to: 1) protect the CNS from foreign pathogens, and drugs, 2) protect the CNS
from drastic hormone or neurotransmitter changes, and 3) maintain homeostasis for optimal
nervous system function and synaptic activity. Present only at the capillary level, the BSCB is
comprised of many components, including endothelial cells, astrocytic endfeet, pericytes and a
basement membrane, which collectively work to control the passage of fluid, ions, molecules and
13
cells (Figure 4). The BSCB is controlled by local interactions with neurons and pericytes,
forming what is known as the “neurovascular unit” (NVU) [32]. The coupling of these cellular
components is complex, and not completely understood. However, it is known that the NVU
responds to the energy and oxygen needs of local neurons – which directly innervate endothelial
cells – by making spatial and temporal adjustments to the blood supply [33].
Figure 4. The blood-spinal cord barrier and neurovascular unit. A) Schematic
representation of the cellular components of the BSCB/NVU. Endothelial cells are surrounded
by pericytes and astrocytes, as well as innervated by neurons. B) Homeostasis of larger
molecules is controlled by specialized transmembrane transporters located within endothelial
cells (glucose transporters, amino acid transporters, P-glycoprotein transporters (P-gp)). C)
14
Tight junctions and adherens junctions are present between endothelial cells, and at endothelial-
pericyte interfaces. These include, VE-cadherin, α/β-catenins, JAMs, claudins, ZOs, and
occludin. Image has been modified from [34-36] (Figure permissions requested).
1.2.5.2.1 Endothelial cells
Endothelial cells are responsible for the highly regulated selectivity of the BSCB. The
endothelial cells of CNS vessels are “linked” by tight junctions (TJ) and adherens junctions (AJ)
which restrict the flow of large hydrophilic solutes (i.e. bacteria, viruses, proteins), while
allowing diffusion of smaller hydrophobic molecules (i.e. oxygen, hormones) via paracellular
transport (transport between cells) (Figure 4) [31]. TJs occur closer to the apical surface,
whereas AJs occur toward the basal surface of endothelial cells [37]. Tight junction proteins
include occludins, claudins, junctional adhesion molecule (JAM). Adherence junction proteins
include cadherins (vascular endothelial: VE-cadherin) and catenins (α, β, or δ-catenin). Both TJ
and AJs are transmembrane proteins, which connect the actin cytoskeletons of adjacent cells
together via peripheral associated proteins (mainly by zonula occludens 1, 2 or 3 (ZO-1, ZO-2,
ZO-3)) [38, 39]. In addition to TJ and AJs, endothelial cells also contain a number of transporter
molecules – P-glycoprotein 1(P-gp), glucose transporters, amino-acid transporters – which
regulate transcellular flux (transport across the cell membrane).
1.2.5.2.2 Astrocytic Processes
Astrocytic endfeet (also known as the “glial limitans”) form an enclosure around perivascular
spaces (VRS) of CNS capillaries, and predominantly provide biochemical support rather than a
15
physical barrier [37]. Although these astrocytes act partially as a physical separation between
the immune-privileged CNS and the peripheral circulation, they are connected by gap junctions
allowing molecules to freely pass through. The high expression of aquaporins and potassium
channels within the astrocytic endfeet of the BSCB/BBB are involved in regulating volume,
hormone levels, and ion concentration in the CNS, ultimately maintaining homeostasis of the
perivascular environment [40]. Additionally, astrocytes are critical for proper neuronal function
and are therefore an essential component of the NVU. Moreover, emerging evidence suggests
that these glial cells are a key participant in coordinating neurovascular coupling and can, in fact,
signal the vascular smooth muscle cells of blood vessels to regulate blood flow in response to
rapid changes in local neuronal activity [41]. Finally, deficiencies in neuron-astrocyte
interactions have been linked to the development of neurodegenerative diseases and improper
BSCB/BBB function [42].
1.2.5.2.3 The Basement Membrane
Structural proteins (elastin and collagen), specialized proteins (laminin and fibronectin) and a
number of proteoglycans are integrated into protein layers, which form the extracellular matrix
(ECM) around the CNS microvessels [43]. This ECM is called the basement membrane (or
basal lamina) is considered an essential component of the BSCB and is located around
endothelial cells and pericytes. Physically it does not prevent the diffusion of smaller
molecules; however, the presence of the basement membrane provides structural support to the
microvasculature, ultimately stabilizing the BSCB [44]. The role of the basement membrane has
also been shown to regulate the proliferation and differentiation of BSCB cells (such as
pericytes), therefore, keeping the barrier in a established, mature form [44].
16
1.2.5.2.4 Pericytes
As previously mentioned, pericytes are physically separated from endothelial cells by the basal
lamina [45]. Pericytes, which are small vessel wall-associated cells, communicate with
endothelial cells via gap junctions and soluble factors. Until fairly recently, the role of pericytes
remained largely unknown; however, recent research shows that pericytes are a vital cell for
BSCB development, maintenance and functional regulation [45]. It has been shown that
pericytes regulate endothelial cell function in the BSCB by promoting the formation of tight
junctions, and controlling vesicle trafficking. Since pericytes are contractile cells, they also play
a key role in blood flow and molecular influx into the CNS tissue [33, 45]. Regulating influx, is
an important function of pericytes as it prevents certain molecules or cells (i.e. large plasma
proteins or inflammatory mediators) from entering the CNS, therefore maintaining homeostasis
for the surrounding CNS cells. Moreover, pericytes may also act to inhibit immune cells, reduce
vascular permeability, phagocytose cells and debris, and promote angiogenesis [46, 47]. Finally,
pericyte function/dysfunction has been linked to the onset and progression of neurodegenerative
diseases, further indicating that they play an essential role in maintaining and regulating the
BSCB/BBB in vivo [33].
1.2.5.2.5 Differences Between BBB and BSCB
Generally, it was assumed that the BSCB was an anatomical and functional extension of the
BBB. While this is remains partially true, recent research has elucidated a number of structural
differences between the two barrier systems, which may account for their functionality and roles
in pathological diseases [48]. Most notably, it appears that the BSCB may be a more permeable,
17
less selective barrier: as indicated by decreased TJ and AJ proteins, decreased transporter
molecules, and increased permeability to vascular tracers [31, 48].
1.3 Epidemiology of Spinal Cord Injury
The spinal cord is normally protected by the vertebral column; however, physical disruption
from trauma often alters the position and structural integrity of the vertebra, leaving the spinal
cord vulnerable. Traumatic forces, such as the ones sustained in sports injuries, traffic accidents,
and diving into shallow water, cause vertebral column complications associated with SCI (Figure
5) [2]. Although blunt injury is the predominant cause of SCI, other penetrating trauma due to
knife or gunshot wounds occur in a significant percentage of cases [49]. Approximately 55% of
SCIs occur at the cervical level (C1 to C7-T1), and thoracic (T1 to T11), thoracolumbar (T11-
T12 to L1-L2) and lumbosacral (L2 to S5) injuries each account for approximately 15% of SCI
[2].
18
Figure 5. Causes of spinal cord injury. Graphical representation of the cause and prevalence
of SCI in Canada. Chart was created based on 2006 data from the Rick Hansen Foundation
(Rick Hansen Spinal Cord Injury Registry) [50].
SCI can result from shearing, stretching, laceration and, in very rare cases, transection of the
cord; however, the most common injuries are the result of contusive and compressive forces [2].
Worldwide, SCI occurs with an estimated annual incidence of 15–40 cases per million. Within
the USA, new studies suggest that 1.275 million individuals are currently living with SCI – an
estimate which is drastically larger than previous estimates of 280,000 individuals – and over
19
10,000 new injuries occur annually [51, 52]. Within Canada, it is estimated that 40,000
individuals are currently living with SCI, with approximately 1,000 new injuries occurring each
year. Depending on the age of the patient, severity, and level of SCI, the lifetime cost of health
care and other injury-related expenses ranges from $1.25 million to $25 million [53].
Perhaps one of the most devastating statistics of SCI is that it predominantly occurs in young,
healthy individuals – mostly between 15 and 34 years of age – and statistically, males are almost
four-times more likely to incur a spinal injury compared to females [54]. In the past 30 years
there has been a slight shift in SCI demographics, where the average age of injury has increased
from 28.7 to 37.6 years and elderly individuals (those > 60 years of age) now account for 10% of
SCI cases (an increase from 4.7%) [55]. Traumatic SCI can result from a variety of different
causes; however, the most common causes of SCI are motor vehicle accidents, falls, work-
related injuries and sports-related injuries (Figure 5).
1.4 Primary and Secondary Injury
By convention, spinal cord injuries can be divided into two events: a primary injury and a
secondary injury, which refer to the physical injury and the subsequent physiological cascade,
respectively [3]. Research has shown that secondary injury is responsible for a large portion of
damage and degeneration that is associated with SCI, including inflammation, ischemia, lipid
peroxidation, production of free radicals, disruption of ion channels, necrosis and programmed
cell death [5, 56, 57]. Additionally, drastic changes occur in the spinal microvascular structure
and function following SCI, including reduction in blood flow, hemorrhage, systemic
hypotension, loss of microcirculation, disruption of the blood-spinal cord barrier (BSCB) and
20
loss of structural organization [3, 58]. While these secondary events are responsible for the
majority of the extensive damage that results following injury, these pathways also present ideal
target environments for therapeutic intervention.
In mammals, a cystic cavity forms at the injury epicenter and spreads mediolaterally and
rostrocaudally from the injury site over time, resulting in substantial functional and
morphological alteration. Infiltrating inflammatory cells are present within the cavity, along with
myelin debris and axons in various degrees of demyelination [59, 60]. Typically, a subpial rim
of tissue survives the injury and contains axons also in varying states of myelination [61, 62].
Astrocytes proliferate and surround the cavity in an attempt to attenuate the spread of the lesion,
forming a glial scar [63, 64]; however, this astrogliosis also produces a physical and chemical
barrier which is inhibitory to axonal regeneration. A fibrous scar consisting of collagen and
various inhibitory extracellular matrix (ECM) molecules is deposited within and surrounding the
lesion. Wallarian degeneration of axons towards their cell bodies and away from the epicenter is
a common fate of severed axons [65]. Severed axonal ends distal to the injury site degenerate
along with disrupted myelin and are broken down, eventually being phagocytosed by
macrophages. A chronic snapshot of the injury demonstrates a cystic cavity containing
vascular/glial bundles, regenerated nerve roots, collagenous fibers and astrocytes [66].
1.5 Animal Models of Spinal Cord Injury
Many small animal models have been developed to investigate the pathophysiology and
functional recovery of SCI; however, due to the heterogeneity of the human condition, no one
21
model precisely mimics the complete pathobiological spectrum. Animal models – usually rats,
mice or other small mammals – include spinal cord compression by forceps or modified
aneurysm clips, balloon compression, weight drop devices/contusion, hemi or full transection
injuries, and chemically-induced SCI [67]. It has been shown in rats that neurological
impairment increases relative to both the time of spinal compression and the force of trauma
[68]. Similarly, it has been suggested that reducing the time of spinal compression in human
patients, by early surgical intervention and spinal decompression, may result in better functional
outcomes for patients [69]. Cells of the CNS, particularly neurons and their axons, are prone to
shearing and compressive forces and physical damage results in rapid cell dysfunction and death
[70]. Although individual animal models fail to address all of the issues present in human SCI,
each of the models exhibit at least one of the pathophysiological consequences. Rat
contusion/compression models accurately mimic vascular damage and disruption to the blood –
spinal cord barrier (BSCB), cyst or cavity formation, neuronal loss and demyelination, and
functional and sensory loss [71, 72].
Although not a perfect design, clip compression models offer a number of advantages over other
models in more closely representing the human condition. In contrast to forcep-crush models,
the clip compression models provide a more consistent, and reliable application of force,
resulting in a more reproducible and constant model of injury. In comparison to weight drop
models, clip compression injuries afford two distinct benefits: i) clip injuries result in anterior
and posterior spinal cord damage (where weight drop models primarily injure the dorsal surface),
and ii) clip compression injuries restrict blood flow and create an ischemic environment, which
is a key component of SCI in human injuries. While, hemi or full transection models are ideal
for regenerative studies, these models lack a strong clinical significance due to a lack of physical
22
trauma, inflammatory response, vascular disruption and scar formation. Lastly, chemically-
induced SCI models have validity and are appropriate for specific use; however, again in contrast
to clip compression models (and similarly the human condition), chemical-induced SCI lacks
physical trauma (mechanical disruption) to the tissues, which in turn, results in a diminished
pathophysiological response. For the reasons mentioned above, our laboratory has utilized the
clip compression model of SCI, as we believe it accurately mimics human SCI pathology [73-
76].
1.6 Neurological Function Following Spinal Cord Injury
1.6.1 Motor Function
A devastating consequence of spinal cord injury is paralysis due to damaged axons and neurons
in motor pathways at or above the level of injury. Various animal models have been developed to
attempt to mimic the motor deficits seen in clinical cases of SCI. Thoracic injuries are well-
characterized in their functional deficits, and result in significant paralysis of the hindlimbs.
Cervical models of SCI – although not as well-characterized as thoracic models – can display
decreases in respiratory function and forelimb deficits depending on location and severity of
injury. Clinically, spinal cord injuries are divided into one of two general categories: complete
or incomplete, referring to total loss of motor and sensory function below the injury site, or
partial motor and/or sensory loss, respectively. The American Spinal Injury Association (ASIA)
has developed a much more descriptive evaluation, called the ASIA Impairment Scale, to more
accurately assess motor and sensory deficits in humans (Table 1) [77].
23
Table 1. American Spinal Injury Association (ASIA) Impairment Scores [78].
Classification Definition
A Complete: No motor of sensory function is preserved in the sacral segments S4-
S5.
B Incomplete: Sensory but not motor function is preserved below the neurological
level and includes the sacral segments S4-S5.
C Incomplete: Motor function is preserved below the neurological level. More than
half of the key muscles below the neurological level have a muscle grade < 3.
D Incomplete: Motor function is preserved below the neurological level. At least
half of the key muscles below the neurological level have a muscle grade > 3.
E Normal: Both motor and sensory function are normal.
Motor impairment following SCI is due to both upper and lower motor neuron damage. Loss of
lower motor neurons in the anterior/ventral horn results in paralysis of muscles at the level of
injury. Axons from upper motor neurons which would normally pass through the injury site
(such as ones from the corticospinal tract) are also damaged, and as a result, efferent input to
muscles below the level of injury is also impaired [6]. Typically, a sub-pial rim of upper motor
axons survive the injury, however they are left in varying states of demyelination [74]. These
axons transverse the lesion site and can supply somewhat limited motor information to muscles
below – the quality of which is dependent on the number and myelination state of the axons.
Since a significant proportion of all injuries occur in the cervical level (approximately 50%),
patients experience loss of control to muscles of the upper limbs and diaphragm (in high cervical
24
injuries), and most patients experience some functional deficit in their trunk and lower limbs
[54].
1.6.2 Sensory Function
Sensory information pertaining to pain and temperature is collected from specialized receptors in
the periphery and ascends via the spinothalamic tract to the brain where it is processed [6]. First
order neurons entering the CNS must ascend or descend one or two vertebral levels before
synapsing on second order sensory neurons in the dorsal/posterior horn, which then decussate
and continue rostrally to the brain. Conversely, first order neurons found in the posterior
column-medial lemniscus pathway, which transmit fine touch and vibration information, enter
the spinal cord and travel rostrally towards the brain prior to decussating in the medulla. Injury
to first and second order spinothalamic neurons, or first order neurons from the medial lemniscus
pathway, interrupts sensory information processing at and below the level of injury and prevents
normal signal transmission to the brain. Miscommunication in sensory pathways can result in
severe complications for patients suffering from SCI. Development of neuropathic pain occurs
in many patients, and although the exact mechanism is unknown, it is hypothesized that it caused
by misguided axonal sprouting or abnormal sodium channel excitability in sensory neurons [79].
Neuropathic pain will be discussed in more detail in subsequent paragraphs.
1.6.3 Autonomic Function
As described above, SCI results in motor or sensory loss as a result of disrupted neural pathways.
Unfortunately, damaged neural circuits exhibit more than motor and sensory dysfunction. SCI
results in miscommunication between higher centers of the hypothalamus and limbic system, as
25
well as the various effector organs of the autonomic nervous system [80]. Preganglionic cell
bodies of the sympathetic system are distributed in the intermediolateral horn of the gray matter
between T1 and L2, whereas preganglionic cell bodies of the parasympathetic system are
situated in the brain stem and sacral levels of the spinal cord. Similar to motor and sensory
deficits, the autonomic dysfunction is dependent upon the level of injury. Regulation of cardiac
output, vascular tone, and respiration is controlled between T1-T4, therefore cervical injuries
often exhibit respiratory or cardiovascular complications [6]. Gastrointestinal and other organs,
including sexual organs, are controlled in lower segments of the spinal cord: T5-L2. In the
uninjured spinal cord, spinal sympathetic interneurons remain rather inactive; however,
following SCI they are activated and are thought to contribute to the impaired autonomic
function. A common autonomic condition in patients with injuries at or above T6 is autonomic
dysreflexia [81]. This condition is caused by excessive afferent stimuli, most frequently from
paroxysmal hypertension (spikes in blood pressure, often reading over 200 mmHg) as a result of
bladder or bowel distension. These episodic increases in blood pressure manifests into
undesirable side-effects, such as headaches, blurred vision, anxiety, and severe sweating [82].
1.7 Secondary Injury
Many factors dictate the patholophysiology of SCI, including the force, severity and location of
the initial injury. Ultimately, these variables are responsible for the extent of molecular damage,
tissue loss and functional deficit. The primary injury, caused by mechanical force, stimulates a
complex series of systemic, cellular and molecular cascades that expand the lesion from the
initial injury into surrounding white and grey matter, consequently increasing the extent of tissue
loss. Secondary injury is primarily defined by detrimental pathophysiological responses;
26
however, endogenous repair and regenerative mechanisms are employed during the secondary
phase of injury in an attempt to minimize the extent of the lesion and reunite damaged neural
circuits.
1.7.1 Summary of Secondary Injury Progression
Mammals such as rats and humans (but not mice) develop a fluid filled cystic cavity at the injury
epicenter following traumatic SCI. Over time, this cavity displaces cellular structures as it
expands in a rostrocaudal manner from the epicenter, producing significant functional and
structural alterations. Infiltrating macrophages, lymphocytes, and activated microglia are present
within the cavity, along with granular myelin debris and axons in varying states of demyelination
As mentioned earlier, a sub-pial rim of tissue often survives the injury and consists of axons
which exist in various myelinated states [61]. In an endogenous effort to restrict the progression
of the cystic cavity, astrocytes are recruited and proliferate; a process termed astrogliosis [63].
These astrocytes eventually surround the injury cavity, and in addition to their physical barrier,
they express inhibitory molecules which results in a chemical barrier hindering future attempts of
axonal regeneration. Damaged axons undergo Wallerian degeneration towards their cell bodies
and away from the epicenter, whereas severed axonal ends distal to the injury site degenerate
along with disrupted myelin and are eventually phagocytosed by macrophages [65]. The chronic
phase of SCI is characterized by the presence of a cystic cavity containing vascular/glial bundles,
regenerated nerve roots, collagenous fibers and astrocytes [66]. Refer to Figure 6 and Figure 7,
which provide an overview of pathophysiological events initiated by traumatic SCI.
27
Figure 6. Schematic of secondary injury pathophysiology. Representation and connection
between the physiological processes that are initiated following spinal cord trauma. Figure was
28
created by Sarah A. Figley, using information from multiple sources [2, 83, 84]. Figure appears
in The Cervical Spine: 5th Edition (2012) [85] (Figure permission requested).
Figure 7. Temporal progression of spinal cord injury pathophysiology. Chart shows the
time-course of cellular and systemic events following traumatic spinal cord injury in humans.
Figure has been modified from Rowland et al. [86]. Figure created by Sarah A. Figley, and
appears in The Cervical Spine: 5th Edition (2012) [85] (Figure permission requested).
1.7.2 The Acutely Injured Spinal Cord
Primary physical damage and death of neural cells onsets the acute secondary phase of SCI.
Typically, the acute phase represents the first 24-48 hours following injury [84, 86]. This phase
29
is characterized by vascular dysfunction, energy and ion imbalances, excitotoxicity, and early
inflammatory events that lead to necrotic and to a lesser extent apoptotic cell death.
Almost immediately following injury, edema and hemorrhage, which correlate to injury severity,
result in ischemic zones and produce necrotic cell death [3, 5]. Microglia, responding to by-
products of necrosis (such as DNA, ATP, K+), become activated and secrete inflammatory
cytokines that actively recruit systemic inflammatory cells.
The immediate acute injury, is defined as the initial 2 hours post injury [86]. In this phase,
spinal shock is initiated below the level of injury and function is immediately lost [87].
Additionally, during this time neurons and glia that have survived but previously sustained
damage from the initial injury, hang in the balance of survival and necrotic cell death. Typically,
the gross histology of the acutely injured spinal cord has not been significantly altered and may
appear normal with MR imaging [88].
1.7.2.1 Vascular Damage Following SCI
Following injury, drastic changes are observed in the spinal microvascular structure and function
[83, 89], and histological studies have shown that the areas with significant vascular damage
coincide with the areas of severe neuronal loss [71]. Since the grey matter of the spinal cord
contains approximately four times more vessels than the white matter, the grey matter is
particularly susceptible to vascular injury [90]. Vascular changes include reduction in blood
flow, hemorrhage, systemic hypotension, loss of microcirculation, disruption of the blood-spinal
cord barrier (BSCB) and loss of structural organization [3, 91]. Vascular disruption, particularly
30
vasospasm, impaired autoregulation and loss of microcirculation, are observed almost
immediately following injury and have been shown to significantly contribute to the ischemic
pathology. Vasospasm occurring after SCI can be initiated by the injury itself or by the release
of vasoactive factors (such as nitric oxide or histamine) [92]. Ischemia, resulting from
disturbances to the spinal cord blood flow (SCBF) is apparent in almost all cases of human and
animal models of SCI and it has been shown that there is a correlation between injury severity
and SCBF [5, 93]. Following injury, fragile microvascular networks are prone to ischemia since
local spinal cord blood pressure is diminished and is further exacerbated by systemic
hypotension [94, 95].
1.7.2.1.1 Blood-Spinal Cord Barrier Disruption
The blood-spinal cord barrier (BSCB) serves as a semi-permeable barrier, separating the
systemic blood and the CSF, and maintaining homeostasis [31]. The function of this barrier is to
regulate the transport of molecules and cells in and out of the CNS – protecting the nervous
system from toxins, viruses and bacteria. Structurally, astrocytic end-feet and pericytes surround
the endothelial cells of vessels. Tight-junctions between endothelial cells and transmembrane
transport proteins (found within endothelial cells) are the key regulators of molecular influx [96].
Vascular disruption is a hallmark of SCI [66]. Mechanical damage from the primary injury leads
to vessel rupture and hemorrhaging, which eventually subsides as bleeding is controlled by
homeostatic responses. However, degradation of endothelial tight junction proteins,
disappearance of astrocytic end feet – due to astrocyte cell death – and cytokine effects on
endothelial cells cause further BSCB compromise. The resultant ‘leaky vessels’ allow the
31
passage of cellular and molecular inflammatory mediators from the blood into the spinal cord
parenchyma, propagating the initial damage and contributing to the secondary injury and
subsequent pathophysiology [14, 66]. Importantly, the compromised BSCB also contributes to
the formation or progression of edema following trauma. BSCB permeability post-injury peaks
at 24 hours; however, it remains compromised long after the initial mechanical damage. Studies
have shown that the BSCB remains dysfunctional and disorganized for approximately 2 weeks
following injury, although a recent study by Popovich et al. implies that BSCB disruption
following SCI may be a biphasic occurrence, showing increased permeability again at 28 days
post-injury [66, 97]. Inflammatory cytokines (such as IL-1beta and TNF-alpha), and other
signaling molecules (ROS, NO, and histamine) are known to contribute to this prolonged
permeability, whereas angiogenic factors (such as VEGF and matrix metalloproteinases
(MMPs)) are involved in vascular remodeling and BSCB repair [98, 99].
1.7.2.2 Energy, Ion and Glutamate Imbalances
Dysfunction in metabolic homeostasis, involving imbalances in Na+, K+, Ca2+, and glutamate, is
well documented and causes impairment and cell death post-injury. Following injury, axonal
concentrations of Na+ and Ca2+ are significantly increased as a result of ion pump failure,
inactivation of ion channels, reverse function of ion exchangers and depolarization of
membranes [100, 101]. Astrocytes and oligodendroctyes also experience increased intracellular
levels of Ca2+ following SCI. Through L-type and N-type calcium channels, along with excess
glutamate signaling (via metabotropic and ionotropic glutamate receptors), elevated
concentrations of Ca2+ may contribute to exacerbation of white matter injury [102, 103].
Impaired glutamate reuptake by astrocytes is a consequence of glutamate transporter
32
dysfunction, cell death, and glutamate release from glia, neurons and axons via reversal of Na+-
dependent glutamate transport, whereby each event contributes to the excessive extracellular
glutamate [102]. As early as 3 hours post-SCI, increases in extracellular glutamate is observed,
leading to alterations in glial and axonal function and gray matter neuronal cell death [104, 105].
Changes in acute energy metabolism following spinal cord injury is characterized by diminution
of ATP, decreased glucose and increased lactate/pyruvate ratios (indicative of hypoxia) [106].
The ensuing deficits in energy metabolism are undoubtedly due to hypoperfusion/ischemia
mediated decreases in oxygen and loss of glucose availability to cells.
1.7.2.2.1 Intracellular Consequences of Acute Excessive Calcium Concentrations
Unnecessary accumulation of intracellular Ca2+ results in axonal degradation and neuronal cell
death by activation of protein kinases, proteases, and mitochondrial dysfunction. Calpains, a
class of Ca2+ dependent proteases, are triggered acutely following SCI due to accrual of
intracellular Ca2+. Calpains are known to degrade cytoskeletal proteins, such as neurofilaments
and microtubules, which notably disrupts axonal integrity and function [107, 108].
Additionally, excessive intracellular calcium levels are detrimental to mitochondria, since
increased Ca2+ stimulates the production of reactive oxygen species (ROS) in neurons and glia.
The production of ROS results in oxidative stress and intensifies neural damage.
1.7.2.3 Oxidative Stress
As previously mentioned, an increased production of ROS occurs following SCI due to
metabolic imbalances and excess intracellular Ca2+, leading to mitochondrial dysfunction and the
33
production of unchecked ROS [109]. Experimental methods have determined that peak ROS
production occurs 12 hours following injury, with levels remaining elevated until 4-5 weeks
post-injury, at which point they appear to return to normal levels [110, 111]. It has been well
characterized that ROS initiate necrotic cell death; however, studies have found that brief
oxidative stress can cause apoptosis of oligodendrocytes and neurons [112]. ROS produced by
mitochondria include superoxide (O2-) and hydrogen peroxide (H2O2), and if left unneutralized,
O2- freely reacts with nitric oxide (NO) to produce peroxinitrite (-ONOO), one of the most
reactive and detrimental free radicals known. When generation of ROS increases above the anti-
oxidative capacities of cells – as is the case of mitochondrial dysfunction – these reactive
molecules can damage proteins, DNA, and lipids. Neutrophil infiltration and rupture has also
been recognized as a detrimental source of ROS post-injury through their respiratory (oxidative)
burst [113].
1.7.2.4 Inflammation
Inflammation is a mechanism through which circulating leukocytes (neutrophils, monocytes/
macrophages, T cells), soluble factors (cytokines, chemokines, complement, lipid byproducts),
and resident microglia attempt to restore tissue homeostasis. The inflammatory response initiated
following SCI involves a complex interaction between systemic and local factors. Inflammation
post-injury has demonstrated both beneficial and detrimental aspects, including removal of
cellular debris and propagation of secondary damage, respectively. Profound differences in
inflammatory responses of animal models have been observed between species (even between
individual strains of rats). In line with this, inflammatory responses in humans also differ from
34
observations from disease models, rendering direct comparisons between the two difficult [111,
114].
Within hours of SCI, activated microglia are recruited due to local vascular disruption, loss of
tissue homeostasis and necrotic by-products (ATP, DNA, extracellular K+). In the process of
activation, microglia undergo morphological conversion from ramified to amoeboid and
subsequently release cytokines (TNF-alpha, IFN-gamma, IL-6, IL-1beta) and nitric oxide (NO).
These cytokines are potent molecules which recruit systemic inflammatory cells, modulate local
protein expression, and result in neurotoxicity and myelin damage [115, 116]. Neutrophils are
the first systemic immune cells to respond to the site of injury, and although they are initially
observed within hours after injury, it is not until 24-48 hours following injury that they are most
abundant [113, 117-119]. Neutrophils also secrete matrix metalloproteinases (MMPs) which,
upon activation, can cleave endothelial tight junction proteins, leading to increased BSCB
permeability. Additionally, neutrophils are a source of myeloperoxidase, which is implicated as
an early cause of ROS lipid peroxidation and the subsequent weakening of cell membranes
[119]. Blocking neutrophil extravasation following experimental SCI has produced both
detrimental and beneficial results, thus it is still debated whether the presence of neutrophils is
good or bad following SCI [120, 121].
1.7.2.5 Cell Death: Necrosis, Apoptosis and Oncosis
Cell death in the broader sense can be looked at as a continuum. Whereas exclusively necrotic or
apoptotic cell death can be observed from certain stimuli, studies suggest that the intensity of the
cellular insult can dictate the ensuing phenotype [122]. Necrotic cell death requires no energy
35
and typically results in intracellular contents being released into the ECM causing an
inflammatory reaction. Apoptosis, on the other hand, requires energy and results in the
formation of apoptotic bodies (which contain intracellular contents) that are phagocytosed
without exacerbating inflammation. Oncosis is another form of cell death, whereby the cell or
cellular components (usually the mitrochondria or nucleus) swell as a result of ionic pump
malfunction; eventually bursting the cell [123]. Oncosis is most commonly initiated by ischemic
insults, and usually takes 24 hours to onset, whereas apoptosis can be initiated much quicker
(within minutes). Also, a distinct difference between oncosis and apoptosis that oncosis typically
provokes an inflammatory response surrounding the dying cells, while inflammation is minimal
following apoptosis [123]. Unfortunately, limited evidence exists to support apoptosis in
neurons following human SCI, even though apoptosis is clearly evident acutely in many animal
models [124, 125]. Moreover, no limited evidence of oncosis following SCI has been
demonstrated; however, it has been noted in stroke, liver failure, and cardiac insult [126]. In
most cases, acute cell death resulting from SCI is necrotic, whereas delayed cell death is
predominantly driven by apoptotic pathways. Necrosis can result from physical membrane
damage, chemical membrane damage (lipid peroxidation), and intracellular ROS excess due to
ion imbalances and energy depletion. [72, 127].
1.7.2.6 Demyelination
Although all cells are vulnerable under hypoxic-ischemic conditions, oligodendrocytes exhibit a
particular susceptibility to low blood/oxygen environments [128-130]. As such, damaged or
affected oligodendrocytes die early on following SCI, resulting in axonal demyelination.
Endogenous efforts for remyelination have been observed; however, the spinal cord lacks a
36
sufficient population of oligodendrocyte precursors, therefore the majority of lost cells are not
replaced and permanent neurological deficits remain [131].
Animal models of SCI have shown that surviving axons are left in varied stages of
demyelination, which results in aberrant signal conduction [132]. This pathophysiological
phenomenon contributes to part of the overall functional deficit following injury. These
surviving axons are an attractive therapeutic target, as increasing their axonal conductance
through remyelination could restore function. Many studies have employed the use of stem cells
to promote remyelination of axons, although it is now known that stem cells can have other
beneficial effects, not related to their myelinating properties, such as neurotrophic factor
secretion, which may account for their effective therapeutic use [133, 134]. Although
demyelination is a hallmark of neuronal dysfunction in animal models, studies describing SCI in
clinical patients have suggested that demyelination might not be as prominent in humans.
1.7.3 The Sub-Acutely Injured Spinal Cord
The sub-acute phase of SCI extends between two days to two weeks post-injury in rodent models
(Figure 7). Conversely, it has been suggested that the sub-acute phase in human SCI occurs in a
much more delayed fashion, occurring between two weeks and 6 months. This phase is
characterized by a plethora of molecular events, including continued inflammatory response,
reactive astrogliosis, remodeling of the extracellular matrix (ECM), delayed cell death and
progressive axonal demyelination/degeneration. In parallel with the aforementioned processes –
which encompass the detrimental effects of SCI – endogenous rescue and repair mechanisms are
initiated in the sub-acute phase of injury. Endogenous progenitor cell proliferation, removal of
37
cellular debris, angiogenesis, and control of the cavity size by astrocytes are all processes
designed to minimize the damage from the injury.
1.7.3.1 Inflammation
Following the initial inflammatory response by neutrophils and microglia, which occurs almost
immediately post-injury, blood derived monocytes/macrophages are recruited within 2-3 days
and can remain activated for several weeks [135]. Upon activation, macrophages become almost
indistinguishable from resident microglia, as they assume a similar morphology and cytokine
expression profile. It is still unclear whether the presence of microglia in the subacute phase of
injury is advantageous or deleterious to the progression of SCI pathophysiology [136, 137].
Rather than manipulating the presence of microglia/macrophages, the most promising
therapeutic avenue towards creating a more permissive post injury inflammatory landscape
revolves around modulating the temporal gene expression of these cells. It has been reported that
these cells are capable of adopting an M1 (inflammatory) or M2 (beneficial) phenotype [136].
Although detrimental in the initial stages of activation, microglia contribute to the secretion of
growth factors and neurotrophins and are able to clear the injury site of dead tissue and cellular
debris by phagocytosis, and these characteristics make them and integral part of wound healing
regeneration [138, 139].
In addition to neutrophils and microglia/macrophages, other inflammatory cells are also recruited
to the site of injury. The presence of T-lymphocytes in the spinal cord is maximally observed
between 3 and 7 days following injury. T-lymphocytes are employed in response to the
cytokine/chemokine signals produced by activated microglia and macrophages [140]. By
38
dictating the secretion of pro- and anti- inflammatory cytokines, T-lymphocytes are able to direct
macrophage/microglial activity. Moreover, antigen-independent T-cells can be recruited to the
site of injury – through cytokine signaling from CNS-specific T-cells – and these cells secrete
various trophic factors (such as IGF-1 and BDNF) which are important for future regeneration
and growth [141, 142].
1.7.3.2 Sub-Acute Cell Death and Axonal Degeneration
A multitude of extracellular and intracellular events are able to initiate apoptosis in the subacute
phase of SCI, including removal of trophic factors, increases in inflammatory mediators, death
receptor activation, and DNA damage [128]. The execution of apoptosis is highly varied
depending on the cell type and the type of cell death signal it receives.
Clinically relevant animal models of SCI have identified neuron and oligodendrocyte apoptosis
as a significant event in the injury pathophysiology through the use of TUNEL and caspase-3
staining [143, 144]. Activation of caspase-3 and caspase-8 temporally coincide to apoptosis
after SCI [145]. Caspase-3 activation, in both neurons and oligodendrocytes, has been observed
as early as 4 hours and up to 8 days after experimental SCI. Studies have also suggested that
oligodendrocyte apoptosis and axonal demyelination are mechanistically linked [72]. The spatial
distribution of caspase-3 activation has been observed in the injury epicenter as well as in the
surrounding penumbra. Following SCI, there is also an increase in cytochrome c, which may be
responsible for activation of cell death pathways [144]. This increase is observed in neuron
within several hours following SCI, whereas it is not observed until several days in
oligodendrocytes.
39
1.7.3.3 The Glial Scar
The severity and type of injury dictate the magnitude of glial scarring observed following SCI.
Transection injury models produce drastically different scarring patterns compared to contusion
or compression injuries [146]. In rats and humans, surviving astrocytes respond to the site of
injury where they proliferate and become activated, eventually surrounding the cystic cavity to
prevent it from expanding. As mentioned earlier, the phenomenon of astrocytes forming a
“heteromorphic network” is commonly referred to as astrogliosis or glial scarring [147].
Although the formation of the glial scar limits the exacerbation of damage and cavity formation,
the presence of astrocytes creates a chemical and physical barrier that is inhibitory for
endogenous or therapeutically initiated axonal regeneration. Astrocytes express and secrete
chondroitin sulfate proteoglycans (CSPGs) and other inhibitory molecules which result in growth
cone collapse and dystrophic end bulb formation in neurons [148]. Astrogliosis is prominent in
rodent models of SCI; however, it is not as pronounced in human SCI [149]. Therefore, SCI
therapies that specifically target glial scarring, such as ChABC, may show promising results in
animal models but could have limited results when translated into clinical trials [150].
Spinal cord injury results in profound changes in the ECM. The fibrous scar is predominantly
composed of collagen IV. Although collagen IV is not inhibitory itself, but is described as ‘sticky’
and is known to binds other ECM molecules [146]. Collagen IV and laminin expression are
upregulated following injury and can be associated with scar formation in rats and humans along
with fibronectin [151, 152]. In rats, laminin expression remains upregulated into chronic phases of
the injury, whereas collagen IV decreases chronically, but it does not return to basal levels.
Inhibition of neurite outgrowth is a result of CSPGs (such as NG2), tenascin, myelin associated
40
glycoprotein (MAG), oligodendrocyte myelin glycoprotein (OMgp), brevican, versican, and Nogo
A, B & C expression in the glial scar [148].
Research has shown that reactive astrocytes contribute to the production of CSPGs following SCI,
and that CSPGs, specifically NG2, are upregulated by 24 hrs after injury and peak expression
occurs at 7 days post-injury[153, 154].
Myelin associated inhibitors such as Nogo, OMgp and MAG bind the Nogo-66 receptor (NgR)
found on neurons. Receptor binding stimulates the downstream Rho/Rock pathway, which
results in decreased growth cone mobility and growth cone collapse. Recently, it was
discovered that PTPsigma, a transmembrane tyrosine phosphatase, was expressed on neurons
and acts as a receptor for CPSGs, which also signal through the Rho/Rock pathway and inhibit
axonal regeneration [155].
1.7.3.4 Progenitor Cell Proliferation
Stem/progenitor cells have been identified in the central canal adult mammalian spinal cord and
have been shown to proliferate extensively following SCI [156, 157]. These cells differentiate
into glia, mainly astrocytes, as endogenous neurogenesis is generally not seen in the spinal cord.
NG2 is a CSPG that is expressed on a subpopulation of progenitor cells and macrophages
following injury [153, 158]. NG2+ progenitors have been described as having the capacity to
differentiate into astrocytes and oligodendrocytes following trauma, with cues for progenitor
differentiation coming from changes in post-injury niches [159]. Additionally, vascular injury
(and changes in VEGF, FGF or EPO expression) can signal the recruitment of endothelial
41
progenitor cells to the site of insult, and results in migration, differentiation, and maturation of
these cells in an endogenous effort to repair the vasculature [160].
1.7.4 The Intermediate Phase
The intermediate phase of SCI occurs between 2 weeks to 6 months post injury in the human
condition (Figure 7). Glial and fibrous scarring progresses, severed axons continue to degenerate
in peri-lesional areas, endogenous axonal sprouting occurs, macrophages remain present and
active in the lesion, and endogenous efforts of remyelination are observed. Macrophages
continue to phagocytose debris from apoptotic cells, degenerating axons and myelin breakdown.
In the intermediate phase of rat SCI, research suggests that endogenous axonal regeneration
exists since axonal sprouting in both corticospinal and reticulospinal tracts has been observed
[161]. Peripheral Schwann cells, as well as oligodendrocyte precursor cells (OPCs), have been
shown to remyelinate and restore some axonal function following spinal cord injury [162].
1.7.5 The Chronically Injured Spinal Cord
The chronic phase of SCI is typically defined as 6 months post-injury humans, and
approximately 6 weeks in rats (Figure 7). Wallerian degeneration of severed axons towards their
cell bodies continues and developing neuropathic pain can be incapacitating. In the chronic
phase of injury, the initial site of injury is characterized by a cystic cavity transversed by
vascular-glial bundles with regenerated nerve roots [163]. What's more, astrocyte and collagen
fibers extend through the lesion and surround the cyst. It is believed that the lesion, after 1-2
years, will cease to progress and continuing deficits are stabilized.
42
1.7.5.1 Post-Traumatic Syringomyelia
Post-traumatic syringomyelia (PTS) is characterized by the formation of a fluid-filled cavity
anytime up to 30 years following injury, and is anatomically observed by imaging in
approximately 21-28% of human SCI patients [164]. However, symptomatic syringomyelia is
seen in only 1-9% of patients: making it a relatively uncommon post-injury complication [165,
166]. Nevertheless, for individuals affected, the side-effects can be undesirable. Common side-
effects of PTS include progressive and asymmetrical weakness, increased spasticity, and
segmental pain or sensory loss due to compressive/pressure injury of spinalthalamic pathways at
or above the level of injury [167]. A syrinx is often formed as a result of increased CSF pressure
from arachnoid lesions or cord compressions, and ultimately leads to increased inflow of CSF
[168]. Animal studies have also shown that even small areas of subarachnoid scarring can result
in fluid flow alteration and increased pressure in the subarachnoid space (SAS) [169]. CSF flow
in humans with PTS is also associated with blockage of the SAS by the progression of arachnoid
scarring [170].
1.7.5.2 Neuropathic Pain
Development of neuropathic pain is dependent on location of the injury site and the surrounding
neural pathways. Clinically, neuropathic pain is divided into three areas which help to describe
the location of the pain: “above-level”, “at-level” and “below-level”. Chronic astrocyte and
microglial activation produce factors that result in hyperexcitability of neurons in distal regions
of the dorsal/ventral horns, with respect to the epicenter [171, 172]. Patients may also develop
mechanical and/or thermal allodynia, which causes previously innocuous stimuli to feel noxious.
In rats, neuropathic pain develops approximately 4 weeks post-injury and depends on injury
43
intensity [173]. In humans, it is estimated that the number of patients exhibiting neuropathic
pain is as high as 58% in some patient populations of SCI [174]. Consistent with the knowledge
that astrocytes and microglia are highly active in neuropathic pain, therapies that inhibit or
modulate astrocyte, microglial/macrophage activation have shown a reduced incidence of
neuropathic pain in animal models of SCI [175, 176].
1.8 Non-Traumatic Causes of Spinal Cord Injury
Non-traumatic spinal cord injury results in slow, prolonged damage to the spinal cord, rather
than a one-time blunt trauma [177]. With a prevalence estimated at near two-times greater than
traumatic SCI, and considering it occurs in elderly individuals, the diagnosis and treatment of
non-traumatic injuries is an important research area [178]. Similar to traumatic injuries, damage
can occur at any location along the axis of the spinal cord and the functional deficits are dictated
by the level of injury. Common causes of non-traumatic injury include systemic hypotension,
cardiac arrest or stroke, primary or secondary neoplasms, spinal infection, multiple sclerosis,
cervical spondylotic myelopathy, amyotrophic lateral sclerosis, and birth defects, including
cerebral palsy and neural tube deficits [177, 179]. Due to the slow progression of non-traumatic
SCI, the pathophysiology shows a drastically different spatial-temporal profile compared to
traumatic SCI [180]. Moreover, the slow onset of molecular and anatomical alteration allows for
endogenous compensatory mechanisms to be initiated, which often reduce functional deficits and
lead to better patient prognosis. Unfortunately, non-traumatic SCI results in gradual functional
losses, which in turn, results in a delayed diagnosis and treatment of the problem. It is important
that diagnostic methods be improved, as these tools could greatly enhance the early detection of
non-traumatic SCI and ultimately improve the patient outcomes.
44
1.9 Therapeutic Targets
Elucidating pathways and mechanisms is critical to understanding the progression of diseases
and trauma; however, the ultimate goal is to develop therapies which will yield positive
functional outcomes. Although some aspects of SCI pathophysiology still remain undefined
(such as the precise spatio-temporal distribution of secondary injury), there is a clear
understanding of spinal cord anatomy and neural systems, the relationship between primary and
secondary, and many key regulators involved in cell death and degeneration. With this
knowledge, researchers have started to develop therapeutic interventions targeting specific
secondary cascades (see Figure 6 and Figure 7).
In therapeutic development, it is pivotal that treatments are unequivocally safe and effective, and
it is now required that preclinical studies are conducted in an independent laboratory to ensure
the data are reproducible. Researchers have experimented with cell transplant therapies,
bioengineered therapies, molecular therapies and rehabilitation therapies [181]. Some promising
research from each type of therapeutic intervention will be highlighted.
1.9.1 Cell Transplantation
Overall, cell and/ or tissue transplantation after SCI aims to: 1) transverse any cysts or cavities;
2) restore dead or damaged cells; and 3) create an environment which is conducive to axonal
regeneration.
Individually, peripheral nerve grafts have been shown to support growth of various axonal types,
with the exception of supraspinal axons [182]. However, in combination with various therapies
45
(including anti-inflammatory drugs and acidic fibroblast growth factor), peripheral graft were
able to promote recovery with regeneration of supraspinal axons into, through and beyond grafts
[183]. Using a contusion model of SCI, researchers implanted Schwann cells and observed a
reduction in cavity size, and observed that some spinal axons extended into grafts, and many
were remyelinated [184]. Functional hindlimb recovery was also reported in this study.
Stem cells and their progenitors have been a focus in regenerative medicine for many years.
Embryonic stem cells (ESCs), adult stem cells, adult neural precursors (aNPCs), and induced
pluripotent stem cells (iPSCs) all have a regenerative capacity that could be harnessed to treat
SCI; however, each cell type carries both advantages and disadvantages for their use in a clinical
setting. ESCs have the ability to differentiate into many cell types, indefinitely self-renew and
differentiate into any cell type, which makes them a powerful regenerative tool. However, ESCs
are harvested from human a fetus, which makes their use highly controversial. Moreover, since
ESCs infinitely self-renew and can differentiate into any cell type, transplantation of these cells
could produce excessive cell proliferation and tumor formation, or produce unwanted cell types
at the site of transplantation, respectively.
The most successful approach of embryonic CNS-derived stem cells in neurotrauma is using
progenitor cells that have been pre-differentiated to a neural lineage prior to transplantation,
since this restricts the cell types that are able to be generated in vivo. Neural progenitors have
been transplanted into immunosuppressed mice and non-human primates following spinal cord
contusion, and in both experiments the transplanted cells showed acceptable survival and
differentiated into cells displaying oligodendrocyte and neuronal markers. Moreover, these
experiments reported locomotor improvements as a result of neural progenitor transplantation
46
[185]. Adult neural precursor cells (NPCs) are now being investigated for CNS repair, since
there are fewer ethical issues associated with their use. Mouse brain-derived adult NPCs have
been transplanted, in combination with growth factors, into the injured spinal cord of adult rats.
NPCs transplanted 2 weeks post-injury displayed survival, migration, and integration in the host
spinal cord tissue, and were able to generate mature oligodendrocytes that resulted in the
remyelination of injured axons, and promoted some functional recovery [186].
Pre-clinical data have shown that animals treated with human ESCs (hESCs) show promising
improvement in functional recovery following SCI [187]. After observing such promising pre-
clinical data, further studies were conducted to characterize the safety and efficacy of these
hESCs. The Geron trial – which was originally approved by the FDA, but then halted due to
concerns of abnormal cyst formation – was later re-initiated and approved for phase I clinical
trials in the United States of America, using human ESCs in patients with SCI. In October
2010, the first patient in Geron’s clinical trial was treated. However, in November 2011, the
phase I trial was closed due to financial costs of the clinical trial, and indicated that of the
patients treated to date, the therapy showed no signs of being effective [188].
In December 2010, StemCells Inc., an American-based company, started a phase I/II clinical trial
using human neural stem cells (HuCNS-SCs) in chronic spinal cord injury, with the intention of
showing efficacy and safety of HuCNS-SCs in human patients [189]. This on-going trial is
taking place in Switzerland, out of the University of Zurich. Patients were initially recruited
from across Europe; however, as of December 2011, StemCells Inc. has opened up recruitment
of patients to Canada and the USA [190]. The trial will include thoracic SCI patients categorized
as either ASIA A or B.
47
Recently, hESCs have also been approved for a clinical trial in Scotland, which focuses on
treating stroke patients [191]. To date, ReNeuron reports no cell-related adverse effects in the
five stroke patients treated, and the company remains optimistic that long-term follow-ups will
show beneficial results. Although this clinical trial will not include SCI patients, the results of
this trial will be very interesting and relevant, since stroke and SCI share many common
pathophysiological mechanisms.
TotipotentRX Cell Therapy, a company based out of the USA and India, has recently launched a
phase I/II clinical trial using autologus bone marrow stem cells [192]. The trial was initiated in
December 2011, although no patients have been enrolled yet. The trial plans to enroll a total of
15 SCI patients with ASIA A, B or C injuries that are below a C4 level. The study will take
place in India, and to date no feasibility or safety data from the study has been published.
1.9.2 Molecular and Neuroprotective Therapies
SCI initiates many molecular processes which have both beneficial and detrimental effects. In
theory, molecular therapies aim to: 1) protect neurons from cell death, therefore reducing tissue
loss; 2) mediate the inflammatory response, 3) promote axonal growth; and 4) restore blood flow
or reduce vascular damage [193].
Neuroprotective therapies are attractive, since they target neuronal and glial survival following
injury. Several studies have reported that intravenous administration of minocycline reduces cell
death and advances hindlimb function in rodent models of SCI [194]. Methylprednisolone, the
only commonly used neuroprotective treatment for acute SCI, has been shown to be
48
neuroprotective with administered within 8 hours of the primary injury; however, the clinical
enthusiasm for methylprednisolone is diminished by its adverse side effects, including increased
rates of infection and impaired wound healing [193]. Riluzole, a calcium-channel blocker, has
shown substantial promise as a neuroprotective therapy. Studies have shown that riluzole is
capable of sparing motorneurons [195], and provides functional and histological improvements
[196, 197]. Other molecules, including estrogen, cyclosporin-A, erythropoietin, have been
shown to reduce cell death and be neuroprotective following traumatic SCI [198, 199].
Additionally, granulocyte colony-stimulating factor (G-CSF) has shown beneficial outcomes,
when coupled with bone marrow-derived stem cell transplantation [200, 201]. Finally,
polyethylene glycol (PEG) has also been associated with both cellular and functional
improvements, which has been attributed to its ability to restore membrane disruption, and
therefore reducing reactive oxygen species and subsequent lipid peroxidation [202-204].
Both systemic and localized hypothermia have been investigated as possible neuroprotective
therapies following spinal cord injury [205, 206]. From a biological view, cooling the injured
tissues would decrease enzymatic activity, and reduce cellular energy needs: overall reducing
and slowing the secondary pathophysiology following SCI. Mixed results have been observed
between preclinical rodent models and human trials, although it is still generally believed that
hypothermia may be a promising therapy for treating neurotrauma; resulting in improved
functional and anatomical outcomes [207-210].
Rescue and regeneration of the microvasculature within the epicenter and penumbra remains a
largely unexplored yet may be a promising therapeutic route to facilitate tissue sparing and
49
functional recovery following SCI. Although vascular endothelial growth factor (VEGF) is
predominantly recognized for its effects on vascular development, it is now accepted as having
cell survival, proliferative, and migratory properties [211]. VEGF supports the “neurovascular
niche”, as it appears to play important roles in both vascular and neural development, bridging
both endogenous systems. Emerging evidence suggests that administration of VEGF following
SCI results in improved vascular networks, reduced cell death and beneficial functional recovery
[212].
The early expression of pro-inflammatory cytokines and chemokines following SCI may
represent an important therapeutic target [117]. Studies have shown that reducing the host
inflammatory response, by modulating factors such as IL-10 and MMP-9, is beneficial and
results in a better outcome following SCI; however, other studies have indicated that obliterating
reactive astrocytes in the injured spinal cord results in detrimental molecular and functional
effects [213, 214]. Clearly, immune-modulating therapies have potential, but further research
will need to elucidate the complexity of immune regulation, as well as the spatio-temporal
distribution of the inflammatory response, in order to accurately intervene and effectively control
the inflammatory response following SCI.
1.9.3 Rehabilitation Therapies
Improvements in locomotor function have been reported in mammals with both incomplete and
complete SCI following exercise or rehabilitation [215]. Locomotor training has been shown to
enhance the ability of many spinally transected mammals to walk on a treadmill in the presence
of body-weight support [216]. Since the spinal circuitry below the lesion site does not become
50
silent following SCI, it often maintains active and functional neuronal properties, which are able
to react to input from below the level of the injury. These circuits are capable of generating
oscillating, coordinated motor patterns and have demonstrated neural plasticity [217].
Combinatorial research is becoming increasingly popular, and many studies are looking at the
combined effects of rehabilitation with molecular strategies for promoting CNS axon
regeneration and recovery of limb function.
Many on-going clinical trials for SCI examine aspects of rehabilitation, including upper-
extremity exercise, body-weight-supported treadmill training, robotic or manually assisted
training, and/or functional electrical stimulation (FES). Studies have shown that, with assisted
weight-support, locomotor training enhances the ability of humans with neurologically complete
SCI to walk on a treadmill. While this is a promising advance for the field of SCI, this
rehabilitation strategy does not result in unaided walking for patients with neurologically
complete SCI [218]. Significant improvements in health, including improved cardiovascular
function and reductions in spasticity, bone loss and bladder/bowel complications have been
observed in patients receiving rehabilitation following injury [219].
1.10 Summary of Spinal Cord Injury
The temporal and spatial progression of SCI results in considerable morphological and functional
damage. Homeostatic regulation of the uninjured CNS is very precise and highly complex, and
disruption from trauma initiates a sophisticated cascade of events. Mechanisms – including
inflammation, apoptosis, necrosis, scarring, and axonal degeneration – are rapidly instigated as a
reaction to the primary injury in an attempt to control and minimize the damage. Although each
51
of these processes has beneficial intent, they also, unfortunately, exacerbate the initial damage
and create an inhibitory milieu which prevents endogenous efforts of repair, regeneration and
remyelination.
In the past few decades, significant advances have contributed to understanding SCI
pathophysiology; however, a full appreciation for the complexity of temporal and spatial
synchronization is yet to be unveiled. Future research will need to further characterize and
develop animal models, which more closely mimic the diverse progression and outcomes that are
observed in human SCI. Moreover, there is an explicit need to define the timeline of
inflammation, cell death, glial response, and regenerative mechanisms following SCI. Even
though these secondary events are responsible for the much of the damage following injury, they
conversely offer potential targets for therapeutic intervention.
1.11 Vascular Growth and Development
Angiogenesis is the growth of new blood vessels from pre-existing blood vessels; essentially, the
sprouting and branching of vessels [220]. This process is distinctly different from
vasculogenesis, which is the formation of blood vessels de novo [221]. While both processes are
pivotal vascular mechanisms, vasculogenesis occurs primarily in development and
embryogenesis, while angiogenesis occurs during development and adulthood – including during
female reproduction, wound healing and the onset of disease states (particularly in the transition
of tumors from dormant to malignant). Both processes are tightly regulated (except in disease
states) to maintain a delicate balance of pro-angiogenic and anti-angiogenic factors (see Table 2).
52
Table 2. Factors involved in angiogenesis.
Pro-Angiogenic Factors Anti-Angiogenic Factors
Angiogenin Angioarrestin/ Arrestin
Angiopoietin-1/ Angiopoietin-2 Angiostatin
Fibroblast growth factors: acidic (aFGF) and
basic (bFGF)
Endostatin (collagen XVIII fragment)
Follistatin Fibronectin fragment
Granulocyte colony-stimulating factor (G-
CSF)
Heparinases/ Heparin hexasaccharide
fragment
Hepatocyte growth factor (HGF) Human chorionic gonadotropin (hCG)
Interleukin-8 (IL-8) Interferon alpha/beta/gamma
Leptin Interferon inducible protein (IP-10)
Placental growth factor Interleukin-12 (IL-12)
Platelet-derived growth factor (PDGF) Metalloproteinase inhibitors (TIMPs)
Pleiotrophin (PTN) Placental ribonuclease inhibitor
Progranulin Plasminogen activator inhibitor
Proliferin Platelet factor-4 (PF4)
Transforming growth factor-alpha (TGF-
alpha)
Prolactin 16kD fragment
Transforming growth factor-beta (TGF-
beta)
Transforming growth factor-beta (TGF-
beta)
Tumor necrosis factor-alpha (TNF-alpha) Soluble Fms-like tyrosine kinase-1 (sFlt-1)
Vascular endothelial growth factor (VEGF)/
Vascular permeability factor (VPF)
Vasculostatin
1.11.1 Vasculogenesis
Vasculogenesis is a complex and dynamic series of processes, controlled by the cell–
extracellular matrix (ECM) and specific cell–cell interactions in the presence of growth factors
53
[221]. The hemangioblast, is a common progenitor of both the endothelial and hematopoietic
cell, that is responsible for the initiating and expanding the original vascular network [222].
Hemangioblasts aggregate in the embryonic yolk sac, and based on location, two separate cell
populations are formed. Outer cells form endothelial cells, while inner cells develop into
hematopoietic precursors. Factors such as, vascular endothelial growth factor (VEGF), VEGF
receptor 2 (VEGFR-2) and basic fibroblast growth factor (bFGF) influence angioblast
differentiation, but on the contrary, VEGFR-1 inhibits differentiation [223, 224].
There are four definitive stages associated with vasculogenesis [221, 225]. First, the angioblast
is created from the mesoderm. Second, angioblasts form endothelial cells, which assemble into
vascular structures (“blood islands”). Third, lumen is developed as part of more defined and
mature vessels. And finally, the vascular structures are organized and connected to form a
continuous vascular network. Afterwards, angiogenesis occurs to further expand the vasculature
and reach more distant tissues (Figure 8).
54
Figure 8. Vascular development. A) Hemangioblasts/angioblasts are formed from the
mesoderm germ layer. B) Vasculogenesis occurs from a collection of angioblasts and
endothelial cells, to form the first vascular networks. C) Angiogenesis occurs, by a variety of
mechanisms, to increase the local blood supply or extend the blood supply to more distal targets.
Figure taken from Hendrix et al. [226]. (Figure permission requested).
Originally, vasculogenesis was thought to only exist in embryonic development. While
vasculogenesis still predominantly occurs in development, recent research has shown that adults
are also able to exhibit this form of vascular growth [227]. Key evidence to support this
demonstrates the presence of circulating endothelial cells and endothelial precursor cells in
postnatal animals, as well as a deeper understanding toward the mechanisms that control blood
vessel formation in tumor growth.
55
1.11.2 Angiogenesis
Angiogenesis is driven by the release of angiogenic factors, but mediated by the simultaneous
expression of anti-angiogenic factors (Table 2). The release of these factors is often from
injured, diseased, or developing tissues, which are signaling the need for a greater blood supply
due to a lack of oxygen or nutrients.
Angiogenesis can occur by a number of mechanisms: sprouting, bridging or intussusception,
although sprouting is (by far) the most extensively studied [222, 226]. Vasodilation, triggered by
the presence of nitric oxide (NO), is the initiating step in angiogenesis [220, 224]. In response to
localized VEGF, vascular permeability is increased, which allows plasma proteins to leak out
and create a temporary scaffold for endothelial cells that migrate to the angiogenic site.
Increased permeability is mediated by the spatial rearrangement of platelet endothelial cell
adhesion molecule 1 (PECAM-1) and vascular endothelial (VE)−cadherin , and the formation of
vascular fenestrations. Permeability is a highly regulated and important process. Although
permeability promotes and drives angiogenesis, excessive vascular leakage can result in
circulatory collapse, hypertension, edema or metastasis [220, 221]. Excessive vascular leakage
is restricted by the expression of angiopoietin 1(Ang1), a ligand of the endothelial TIE-2
receptor, which is released as an inhibitor of vascular permeability to constrict pre-existing
vessels [228].
In order for angiogenesis to occur, the mature vasculature needs to be destabilized, which allows
resident endothelial cells to emigrate. Ang2, an inhibitor of TIE-2 signaling, is involved in the
destabilizing process and is responsible for detaching smooth muscle cells and loosening the
56
matrix [229, 230]. Proteinases belonging to the plasminogen activator, matrix metalloproteinase
(MMP), or heparanase families promote angiogenesis by activating/releasing growth factors
(bFGF, VEGF) that are stored within the extracellular matrix [231]. Additionally, these
proteinases stimulate angiogenesis by contributing to the physical degradation of the matrix,
further destabilizing the original vessels.
When the vasculature has been reverted to an immature state, proliferating endothelial cells are
able to migrate to distal sites. Growth factors, such as VEGF and placental growth factor
(PLGF), along with their receptors, stimulate endothelial cell recruitment, proliferation and
organization [220]. Ang1 is a chemoattractant for endothelial cells, induces sprouting, and
potentiates VEGF; however, it is unable to induce endothelial proliferation [229, 232]. In
contrast to VEGF, Ang1 cannot initiate endothelial network organization, rather it stabilizes the
vascular networks initiated by VEGF. This is likely to occur by Ang1 stimulating the cell-cell
interactions between endothelial and peri-endothelial cells, suggesting that Ang1 acts in response
to VEGF or in the latter stages of angiogenesis. In the presence of VEGF, Ang2 is also pro-
angiogenic. However, the function of Ang2 is still being elucidated, since recent research
indicates that overexpression of Ang2 in tumors suppresses their growth [233]. Moreover, recent
studies have shown that low levels of phosphorylated TIE2 receptors have been observed in the
dormant vasculature of adults, which may suggest that TIE2 plays a role in basal vascular
maintenance [233].
Angiogenic sprouting is restricted by a delicate balance of activators and inhibitors. Angiogenic
inhibitors, which suppress the proliferation or migration of endothelial cells, include angiostatin,
endostatin, transforming growth factor-beta (TGF-β), interferon-α/β/γ, leukemia inhibitory factor
57
(LIF) and platelet factor 4 [220, 222]. Activators may be cytokines or proteins, many of which
are involved in cell-cell or cell-matrix interactions, induce proliferation and migration of
endothelial cells. Activators include angiopoietin, nitric oxide, tumor necrosis factor-alpha
(TNF-α), platelet derived growth factor (PDGF), VEGF/VPF, and fibroblast growth factors
(aFGF/bFGF). Some of these factors – PDGF, TNF-α, nitric oxide, and TGFβ – are not essential
for embryonic vascular development, but have been shown affect pathological angiogenesis
and/or improve angiogenesis following exogenous administration [220, 221]. The following
molecules have also been associated with angiogenesis following exogenous delivery; however,
their role in endogenous angiogenic signaling still remains uncertain: erythropoietin, IGF-1,
neuropeptide-Y, leptin, epidermal growth factor, hepatocyte growth factor, interleukin hormones
and chemokines.
When endothelial cells have been assembled in new vessels, they become quiescent and can
survive for many years [220]. However, endothelial apoptosis occurs as a natural mechanism of
vessel regression in the retina and ovary after birth, and is the common intention of exogenous
angiogenic inhibitors. The balance between apoptosis and survival is regulated by vascular and
metabolic demands of the tissue. Endothelial survival factors (including VEGF, Ang1 and αvβ3)
activate survival pathways (PI3-kinase/Akt, Bcl-2, surviving), but more importantly, they are
also capable of suppressing cell death factors/pathways (p53 and Bax) [234].
Generally, endothelial cells accumulate as solid cords, and establish lumen formation at a later
time point. Vessels can increase their diameter or length by intercalation or tapering of
endothelial cells, as well as by fusing pre-existing vessels. Varying VEGF isoforms play
different roles on the size and formation of new vessels, where VEGF189 decreases luminal
58
diameter, compared to isoforms VEGF121, VEGF165 which promote lumen formation and
increase vessel length [235, 236]. Ang1 and integrins (αvβ3 or α5) also promote the formation of
lumen or increase vessel maturity [237]. In contrast, thrombospondin-1 is an endogenous
inhibitor of lumen formation [238].
To date, many questions still remain about the spatial cues that guide endothelial cells into
correct patterns and three-dimensional networks. Ultimately, a greater understanding of these
mechanisms would allow for more targeted and specific therapeutic angiogenesis.
1.12 Vascular Endothelial Growth Factor
1.12.1 Molecular Biology of VEGF
It is well known that vascular endothelial growth factor (VEGF) has a multitude of cellular
functions, including vascular endothelial proliferation and differentiation, embryonic
development, maintenance and repair of blood vessels, and angiogenesis [239-242].
VEGF (also known as VEGF-A, as it was discovered first) belongs to a sub-family of growth
factors, specifically the family of platelet-derived growth factor (PDGF). This group of growth
factors includes VEGF-A, -B, -C, -D, -E, -F, and placental growth factor (PLGF). VEGF-A
consists of 16,272 base pairs and is located on the human chromosome 6p12 [243]. Twelve
different splice isoforms – from a single gene with 8 exons – are expressed as a result of
alternative splicing events in exons 6, 7 and 8 (Figure 9) [244]. Splice isoforms are named
according to the number of amino acids present, and it should be noted that rodent isoforms
contain one less amino acid (e.g. VEGF164 would be the rodent equivalent to human VEGF165).
59
The most common and well characterized forms in the CNS are VEGF121, VEGF165 and
VEGF189 – although isoforms 111, 145, 148, 183, 206 exist – and these isoforms vary with
respect to their solubility and affinity [239, 243]. Two VEGF sub-families are produced as a
result of variable splice sites found in exon 8. Isoforms produced using the proximal splice site
are pro-angiogenic, whereas proteins formed by the distal splice site are known to be anti-
angiogenic (and are denoted VEGFXXX B) [236].
Figure 9. VEGF gene and splice isoforms. A) The VEGF gene is composed of 8 exons, which
are responsible for determining the receptor binding specificity, affinity and dimerization. B)
Isoforms are named based on their amino acid length (i.e. VEGF164 would have 164 amino acid
residues). The number of amino acids found in the various exons are displayed. C) The
diversity of VEGF results from differential splicing of VEGF mRNA, forming both pro-
angiogenic and anti-angiogenic proteins. All pro-angiogenic isoforms contain exon 8a, whereas
60
exon 8b is responsible for anti-angiogenic properties. Figure created by Sarah A. Figley: adapted
from Harper and Bates, 2008 [243].
1.12.2 VEGF Receptors and VEGF Signaling
VEGF receptor expression is, for the most part, limited to vascular endothelial cells [239, 245,
246]. Therefore, proliferation induced by VEGF is predominantly restricted to endothelial cells.
Although VEGF is mitogenic for other cell types – such as lymphocytes and Schwann cells –
alternative functions result from VEGF binding to other non-endothelial cells, notably the
induction of monocyte migration [247-251].
Signal transduction of VEGF is mediated through three tyrosine kinase receptors: VEGFR-1 (Flt-
1), VEGFR-2 (Flk-1/KDR), VEGFR-3 (Flt-4) (Figure 10), and two non-tyrosine kinase-type co-
receptors neuropilin-1 (NP-1) and neuropilin-2 (NP-2) [252]. VEGFR-1 is believed to be
involved in hematopoietic events, and VEGFR-3 is primarily responsible for the lymphatic
endothelium [253]. VEGFR-2 is likely the most characterized and studied receptor, and is
thought to be responsible for the neuroprotective and proliferative properties, by signaling
through the PI3K/Akt and MEK/Erk pathways, respectively (Figure 11) [247, 254].
61
Figure 10. VEGF Receptors. VEGF receptors (VEGFRs) are transmembrane tyrosine kinase
receptors, with the exception of VEGFR-1, which can be cleaved into a soluble form and act as a
decoy receptor. Each receptor binds VEGF; however, they have varying affinities for the
different VEGF proteins (i.e. VEGF-A does not bind VEGFR-3). VEGF ligand binding results
in receptor dimerization and activation via transphosphorylation. EC = endothelial cell. LEC =
lymphatic endothelial cell. Figure taken from Hoeben et al. [255] (Figure permission requested).
62
Figure 11. VEGFR-2 signaling. The majority of the angiogenic effects exhibited by VEGF
occur through VEGFR-2 signaling, and are predominantly restricted to endothelial cells.
VEGFR-2 mediates cell survival (through Akt/Caspase), vascular permeability (via eNOS), cell
migration (via PI3K/p38MAPK), and cell proliferation (through Ras/Erk). Figure taken from
Cross et al. [253] (Figure permission requested).
VEGFR-2 (200–230-kDa) acts as a high-affinity receptor for VEGF-A, and is expressed in both
vascular endothelial and lymphatic endothelial cell, although VEGFR-2 expression has also been
observed in several other cell types such as hematopoietic stem cells [256]. Knockout
experiments demonstrate that VEGFR-2 expression is critical for vascular development and
Vegfr-2 -/- embryos die by embryonic day 8.5–9.5, show signs of endothelial and hematopoietic
precursor defects [257].
63
VEGFR-2, as opposed to the other VEGF receptors, is largely responsible for endothelial
proliferation, survival, migration and vascular permeability. VEGFR-2, stimulates proliferation
through activation of the extracellular regulated kinase (Erk) pathway, ultimately leading to an
increase in gene transcription [258]. Regulation of cell survival is controlled by the Akt/PKB
pathway, which inhibits pro-apoptotic pathways such as B-cell lymphoma 2 (Bcl-2)-associated
death promoter homologue (BAD) and Caspase-9 [259]. Furthermore, the Akt/PKB pathway
also induces endothelial nitric oxide synthase (eNOS) expression, which generates NO and
results in an increase in vascular permeability and cellular migration [260, 261]. VEGFR-2
signaling mediates actin reorganization and cell migration via p38 mitogen-activated protein
kinase (MAPK) and focal adhesion kinase (FAK) [262, 263].
Several other important intracellular signaling molecules are activated by VEGFR-2, notably
Src. It is unknown how VEGFR-2 interacts with Src or what the downstream signaling role is;
however, mice mutants lacking Src family members – specifically Src and Yes – have increased
vascular permeability [264]. Additionally, VEGFR-2 function is altered by co-receptors such as
heparan sulfated proteoglycans. In a functional VEGF–VEGFR-2 complex, neuropilins –
ubiquitous membrane-bound molecules also involved in axon guidance by binding to the
semaphorin family members – are present [246, 265]. These co-receptors interact with certain
VEGF isoforms and VEGFR-2, and although there is currently no evidence that neuropilins have
the capacity to signaling in endothelial cells, it is thought that neuropilins act by stabilizing the
VEGF– VEGFR-2 complex [266].
64
1.12.3 Regulation of VEGF
1.12.3.1 Hypoxic Regulation of VEGF
Endogenously, VEGF is regulated in a complex fashion by several mechanisms; however,
activation of hypoxia-inducible factors would be the primary regulator [267]. Hypoxic events
have been shown to trigger rapid VEGF gene expression by increasing transcription, stabilizing
mRNA and promoting preferential translation [268-270]. Transcription factors, such as hypoxia-
inducible factor 1 (HIF-1) and hypoxia-inducible factor 2 (HIF-2), activate transcription by
binding the hypoxia response element (HRE) in the 5’ flanking region of the VEGF gene. The
HIF-DNA binding complex is formed by a heterodimer of α- and β-subunits [271]. Under
normoxic conditions α-subunits are unstable and are targeted for proteosomal destruction, which
limits the formation of HIF-DNA binding complexes [272]. Degradation of the α-subunit is
dependent on the von Hippel-Lindau (VHL) tumor suppressor, which is recognized by a
ubiquitin ligase and results in ubiquitin-dependent proteolysis of HIF-α [273, 274]. In hypoxic
cells, HIF-α degradation is suppressed due to the functional loss of pVHL. This results in
elevated HIF DNA binding complexes, which ultimately leads to transcriptional activation of
target genes – such as VEGF (Figure 12).
65
Figure 12. Hypoxic regulation of VEGF. HIF-1, the most important transcription factor for
hypoxic-regulated genes, is a heterodimer consisting of HIF-1α and HIF-1β. HIF-1β is
constitutively expressed and stable; however, HIF-1a is stabilized by hypoxic conditions. Under
normoxia, HIF-1α is hydroxylated by prolyl hydroxylase. This hydroxylation signals Von
Hippel Lindau proteins (pVHL) to bind, resulting in ubiquitination (ub) and subsequent HIF-1α
protein degradation. Figure created by Sarah A. Figley.
1.12.3.2 Cytokine and Hormonal Regulation of VEGF
Estrogens have been shown to stimulate VEGF transcription, as well as stabilize VEGF mRNA,
therefore extending the half-life of the transcripts [241, 275]. Examination of the 5′ regulatory
regions of VEGF have not found to any estrogen response elements; however, the regulatory
regions contain several AP-1 and Sp1 sites, which have been shown to control estrogen
66
expression and function. The mechanisms of which are still to be determined [275]. Moreover,
reports have indicated that progestins are able to increase VEGF-A expression in the human
uterus and in human breast cancer cells, by promoting transcriptional activation of the VEGF
gene [276, 277].
In addition to hormonal regulation, VEGF/VEGFR expression and activity has been shown to be
regulated by a variety of cytokines, including tumor necrosis factor-alpha (TNF-α), tissue growth
factor-β (TGF-β), epidermal growth factor (EGF), platelet-derived growth factor (PDGF), IL-1α,
IL-1β, IL-6, IGF-1, cyclooxygenase (COX)-1 and -2 enzymes, and Prostaglandin E2 (PGE2)
[255]. Although the role of each molecule on VEGF regulation is not entirely clear, it appears
that VEGF/VEGFR is mediated at both the transcription and post-transcription levels by a
number of mechanisms in vivo.
1.12.4 VEGF in Models of Neurotrauma
Recent work has shown that VEGF has neurotrophic, neuroprotective, and neuroproliferative
effects, and that the expression of VEGF and its receptors during hypoxia/ischemia, brain, and
spinal cord injury are increased [211, 212, 240, 278-282].
Immediately following CNS trauma, a series of cellular events are triggered, which target
vascular repair and enclose the injury area [283, 284]. Revascularization and repair of the blood-
brain barrier re-establish trophic and metabolic support to the injured tissue [91]. VEGF, which
is involved in revascularization following injury, is upregulated during many pathological events
67
in the CNS, including ischemia [278, 285-287], brain contusion [281], and spinal cord injury
[279, 288, 289].
In the uninjured adult CNS, VEGF expression is limited to the cerebellar granule cells, choroid
plexus, and area postrema, and VEGF receptor expression tends to be very low [265, 290, 291].
However, following CNS injury, VEGF is upregulated and is involved in post-traumatic
angiogenesis, via endothelial VEGFR-2 signaling [278, 281, 285-287, 291-293]. VEGF protein
expression is upregulated in both astroglia and inflammatory cells surrounding the injury site
[279, 281, 288, 289, 294]. Additionally, it has been shown in models of ischemia that neurons
can express VEGF [295]. Following traumatic insults, the primary VEGF receptors present a
particular cellular distribution – VEGFR-2 receptors are observed to be upregulated in neurons,
whereas VEGFR-1 receptors are upregulated almost entirely in reactive astrocytes [292, 293,
296].
Due to the important pleiotropic functions of VEGF, it has been a popular research topic in
recent years, specifically in neurotrauma research. Recently is has been reported that VEGF-
overexpressing transgenic mice show enhanced post-ischemic neurogenesis and neuromigration
[297]. Additionally, in a weight-drop SCI model, rats treated with VEGF165 showed significantly
improved behaviour after SCI, notable repair of blood vessels and reduced apoptosis [298].
However, the previously described approaches using VEGF-A have relied on the introduction of
a single splice isoform of VEGF-A (VEGF165), which may not result in optimal neuroprotective
or angiogenic effects.
68
1.12.5 Angiogenesis Following Injury
As previously discussed, SCI often results in significant vascular damage. Vessels are disrupted
at the macroscopic and microscopic levels, with vessels being physically crushed and/or severed
and by notable alterations to the function and arrangement of the BSCB, respectively.
Angiogenesis, the production of blood vessels from pre-existing vessels, is highly regulated and
essential for the repair and remodeling of tissues following injury [222]. It has been previously
reported that in a number of SCI models, there is a relationship between blood vessel density and
improvements in recovery [299]. Similarly, other CNS injury models also display a correlation
between the formation of new vessels and recovery [300]. Substantial trophic support is
provided by CNS microvessels and these microvessels are crucial for tissue survival [301, 302].
Furthermore, some studies have demonstrated that regenerating axons have a tendency to grow
along blood vessels, using them as a scaffolding pathway for regeneration [303].
To an extent, angiogenesis is observed following traumatic injury; however, the endogenous
efforts are insufficient to fully repair the damage [89]. These studies have determined that there
is an angiogenic response to SCI, and it occurs within the first week following injury. However,
the progression of endogenous revascularization noticeably diminishes with the simultaneous
onset of significant histopathology and pathophysiology. Therefore, new therapies designed to
limit vascular damage, improve vessel density and/or restore blood flow to the injured cord may
be promising for spinal cord repair and recovery. Moreover, therapies administered before 7
days (even between 3 and 7 days), as suggested by Loy and colleagues in 2002 might best
facilitate tissue sparing and regeneration [151].
69
1.13 Gene Therapy
Gene therapy can be described as introducing a gene into an organism to either replace a
defective or non-functional gene, or to regulate the expression of a gene [304]. This objective
can be accomplished by a number of techniques – viral delivery, gene silencing, lipoplexes –
each of which have advantages and disadvantages. Gene therapy is an attractive therapeutic
option, as it has the potential to be customized and highly specific; however, limited success has
been achieved in translating gene therapies due to immune and inflammatory responses,
targeting issues, gene control, and the complexity of multi-gene disorders. Viral techniques have
become popular methods of introducing genes into a biological system, as they have proven to be
efficient and effective; however, there are a number of factors contribute to the effectiveness of
in vivo gene therapy. Viral vectors, such as adenoviruses (AdV) or adeno-associated viruses
(AAV), vary in their biological characteristics, including their ability to elicit an immune
response within a host system, the rate at which they produce the transgene and finally the cell
types in which they transduce.
Adenoviruses (AdV) have been well characterized since their discovery in 1953 [305]. To date,
there are approximately 50 adenovirus serotypes, which are classified into subgroups A-F [306].
Adenoviruses are medium-sized (approximately 100 nm), naked viruses with a linear double-
stranded DNA genome. Due to the size of the virus, the length of the inserted gene is limited,
which eliminates AdV gene therapy as a possibility for some genetic conditions. These viruses
remain transient in the cell, which allows them to use the cellular machinery of the host to
replicate rapidly; however, transient expression results in an evoked immune response, and a
limited time-window for gene expression (generally 10 days). For the later reason, this type of
70
gene therapy is ineffective for genetic conditions that require continuous or long-term treatment.
The immune response that is initiated by AdV vectors is also a concern for its use as a potential
gene therapy tool, although the effects can sometimes be mediated by systemic immune
suppression (i.e. cyclosporin A) [307, 308]. Adenovirus serotype 5 (AdV5), which will be used
in our experiments, has been shown to transduce a wide-variety of cell types, including neurons,
astrocytes and oligodendrocytes [309].
Adeno-associated viruses (AAV) are considered to be small viruses, which can transduce both
dividing and non-dividing cells and stably incorporate into specific sites in the host genome
[310]. The predictable integration of AAV makes these viruses more desirable in medical
research, since other vectors, such as retroviruses, are prone to random insertion and subsequent
mutagenesis [311]. Typically, AAV's evoke a very low – often non-detectable – immunogenic
response when administered into a host system [308, 312]. This, as well as the capacity to
transduce quiescent cells, demonstrates an obvious advantage of AAV for human gene therapy,
compared to AdV therapies.
Conversely, AAV systems do present some disadvantages. AAV vectors have a limited cloning
capacity and most therapeutic genes require the complete replacement of the virus' 4.8 kilobase
genome. Therefore, large genes are not suitable for use in a standard AAV vector. Serotype 2
(AAV2) has been the most extensively examined so far and it appears that AAV2 display
preferential transduction of neurons, skeletal muscle, vascular smooth muscle and hepatocytes
[313-315]. Integration into the host chromosome requires time, therefore the kinetics of gene
expression for AAV gene therapy is usually considerably slower than AdV gene therapy [312].
For therapies requiring rapid changes in gene expression, AAV viruses may not be ideal.
71
1.14 ZFP-VEGF Technology and Production of VEGF
ZFP-VEGF technology – a viral vector encoding a zinc-finger transcription factor protein (ZFP),
which activates endogenous VEGF-A expression – has been previously used to demonstrate that
expression in vivo leads to induced expression of VEGF-A protein, stimulated angiogenesis, and
accelerated wound healing [316, 317]. Evidence for a potentially therapeutic biophysiologic
effect of ZFPs has also been reported in animal models of hindlimb ischemia [53, 318, 319] and
diabetes [320, 321]. Here, we propose that AdV-ZFP-VEGF be administered in a delayed
fashion following SCI. This unique method aims to promote upregulation of endogenous
mechanisms – therefore all splice isoforms will be produced – which should mimic physiological
VEGF function (Figure 13).
72
Figure 13. ZFP-VEGF technology. Adenoviral (AdV) and Adeno-associated virus (AAV)
vectors have been designed. Vectors transducer the cell in vivo, and generate bio-engineered
zinc-finger protein (ZFP) transcription factors (AdV-ZFP-VEGF). AdV-ZFP-VEGF binds to
the endogenous gene with high affinity and specificity. The transcriptional activator (TF) drives
transcription of the endogenous VEGF gene, resulting in increased mRNA and protein. This
ZFP-VEGF approach is advantageous since it promotes expression of the endogenous gene,
resulting in the appropriate balance of the multiple VEGF isoforms, which are required for
proper VEGF function. Figure modified from I. Siddiq [322] (Figure permission requested).
73
Rationale
This research aims to investigate two important areas in spinal cord injury (SCI) research. First,
we aim to characterize the vascular disruption following traumatic SCI, since understanding the
vascular profiles may provide interesting and specific therapeutic targets. Secondly, we aim to
use a ZFP-VEGF gene therapy in an animal model of thoracic SCI, and examine the
neuroprotective and vascular effects, at both molecular and functional levels.
The blood-spinal cord barrier (BSCB) plays an important role in maintaining homeostasis in the
central nervous system (CNS), by regulating the transport of molecules and cells across its
barrier [11, 31]. Following injury, the BSCB and the vasculature are significantly disrupted,
which results in increased permeability, decreased immunological protection, and dysregulation
of vascular homeostasis. While a disordered BSCB has been observed following injury, and is
known to propagate pathophysiological mechanisms, it may also presents a unique opportunity
to deliver therapeutics to CNS tissues, which normally (or at later times following injury) cannot
enter due to the intact BSCB. Since SCI is a dynamic injury, exhibiting temporal and spatial
changes, it is important to investigate these alternations in order to identify potential therapeutic
targets. Identifying anatomical/molecular targets, as well as a time-window for regeneration will
prove highly beneficial for administering and designing vascular therapies. In the present study,
we aim to examine the temporal profile of vascular and BSCB damage along the rostrocaudal
axis of the thoracic spinal cord in a clip-compression model. Although other studies have
examined vascular and BSCB disruption post-SCI, our study will be the first to investigate both
of these aspects in a clip-compression model, where data extends past 24 hours. Moreover, this
74
will be the first study to examine the endogenous angiogenic response in a model of clip-
compression SCI.
Secondly, the rationale for studying SCI is that it is a devastating injury that primarily affects
young individuals, therefore significantly reducing their quality of life for many years. It has
been estimated that at least 10,000 North Americans will suffer a SCI each year, as it is
estimated that acute traumatic spinal cord injury occurs with an annual incidence rate of 15–40
persons per million [2]. At present, there are no universally accepted treatments for this
debilitating neurological condition.
SCI results in the initiation of multiple secondary injury cascades, one of which is the disruption
of spinal cord blood flow and the onset of spinal cord ischemia. Vascular changes include
reduction in blood flow, hemorrhage, systemic hypotension, loss of microcirculation, disruption
of the blood-spinal cord barrier (BSCB) and loss of structural organization [58, 323].
Approaches that address the onset and downstream consequences of the ischemic injury are
attractive treatment options for patients with SCI. Moreover, therapies specifically targeting
vascular damage, vessel density and restoration of blood flow to the injured spinal cord may
provide an opportunity for spinal cord repair and recovery. Recent reports have shown
significant correlations between blood vessel density and improvements in recovery following
CNS trauma [324-326].
Rescue and regeneration of the microvasculature within the epicenter and penumbra remains
largely unexplored yet may be a promising therapeutic route to facilitate tissue sparing and
functional recovery following SCI. It has been shown that substantial trophic support is
75
provided by CNS microvessels [302] and that microvessels are critical for tissue survival [301,
327, 328]. In this research we target the spinal vasculature using VEGF, a very prominent
angiogenic mediator in development, which is responsible for endothelial proliferation, survival,
migration and vascular permeability. By inducing VEGF expression in vivo, we are hopeful that
increased VEGF following SCI will result in beneficial effects following SCI. Although many
angiogenic factors exist, VEGF is often regarded as the most important [255]. VEGF, delivered
in a multitude of ways, has shown very promising results towards vasculature and
neuroprotection in models of both neurotrauma and neurological disease, further supporting our
choice to use VEGF as gene therapy [319, 329-333]. Our novel approach shows more promise
than previous attempts to target angiogenesis as a therapeutic target because endogenous VEGF-
A expression is upregulated by the production of a specific zinc-finger protein. This form of
gene therapy mimics physiological VEGF production, which should result in the production of
all VEGF isoforms in the injured spinal cord, a necessary component for proper and functional
angiogenesis. Therefore, we believe that ZFP-VEGF gene therapy presents an advantage over
previous VEGF therapies, which introduce a single VEGF isoform (predominantly VEGF165 has
been used) into the CNS.
Previously, we have reported that immediate AdV-ZFP-VEGF administration results in
increased vessels, decreased cell death, and improved functional recovery following injury (See
Appendix 1) [212]. While these data are important in providing a “proof-of-concept” for the use
of AdV-ZFP-VEGF in vivo, the administration immediately following SCI has limited
therapeutic relevance. In the present study, we will investigate the delivery of AdV-ZFP-VEGF
at 24 hours post-injury to determine if the beneficial effects are preserved with a delayed
administration of the treatment.
76
Overarching Hypothesis
It is hypothesized that significant vascular disruption will occur following a clip-compression
model of spinal cord injury, and that using a ZFP-VEGF gene therapy will enhance molecular
and functional recovery following spinal cord injury through neuroprotective and angiogenic
mechanisms.
Statement of Objectives
1. Characterize the structural and functional changes to the spinal cord vasculature
following moderately-severe SCI
2. Identify potential vascular and neuronal mechanisms of AdV-ZFP-VEGF in vivo
3. Examine the acute therapeutic effects of delayed AdV-ZFP-VEGF administration
following acute spinal cord injury, specifically angiogenic and neuroprotective effects
4. Determine the neurobehavioural effects of delayed AdV-ZFP-VEGF administration post-
spinal cord injury
77
Chapter 2
2 General Methods
2.1 Animal Model of SCI and Intraspinal Injections
All animal protocols (979.31 and 891.9) and procedures were approved by the Animal Care
Committee at the University Health Network, Toronto, ON, Canada.
Animals were subject to a contusive-compressive spinal cord injury using a modified aneurysm
clip, which has been extensively characterized by our laboratory and previously described [74].
Briefly, adult female Wistar rats (250-300g; Charles River, Montreal, Canada) were deeply
anesthetized using 4% isoflurane, and were sedated for the remainder of the surgery under 2%
isoflurane. Animals received a two-level laminectomy of mid-thoracic vertebral segments T6-
T7. A modified clip calibrated to a closing force of 35g was applied extradurally to the cord for 1
minute and then removed (Figure 14). The animals were divided into four groups in a
randomized and “blinded” manner, (1) Sham control group (laminectomy only – no SCI), (2)
Non-injected injured control group (laminectomy and SCI – no injection), (3) AdV -ZFP-VEGF
treatment group, and (4) AdV-eGFP control group. Using a stereotaxic frame and glass capillary
needle (tip diameter 60 µm) connected to a Hamilton microsyringe, a total of 5x108 viral plaque
forming units (PFU) were injected into the dorsal spinal cord 24 hours post-SCI. Four 2.5 μl (10
μl total) intraspinal injections were made bilaterally at 2mm rostral and caudal of the injury site
(Figure 14). Injections were 1mm lateral from the midline and 1mm deep into the spinal cord.
The injection rate is 0.60 µl/min and when the injection was completed, the capillary needle was
78
left in the cord for at least 1 min to allow diffusion of the virus from the injection site and to
prevent back-flow. The incision was closed in layers using standard silk sutures and animals
were given a single dose of buprenorphine (0.05 mg/kg). Animals were allowed to recover in
their cage under a heat-lamp and, subsequently, were housed in a temperature-controlled warm
room (26°C) with free access to food and water. Animals were given buprenorphine (0.05
mg/kg) every 12 hours for 48 hours following surgery, and their bladders were manually voided
three times daily. A subcutaneous injection of 10mg/kg of cyclosporin-A was administered daily
starting 24 hours prior to the SCI until the end of the experiments for immunosuppression. For
histological and protein analysis, n=3-10/group were used. For long-term and behavioural
analysis, n=12/group were used. Final animal values reported in each study vary from the
original values due to mortalities, and are outlined in detail within each chapter.
79
Figure 14. Model of spinal cord injury and intraspinal injections. A) A modified aneurysm
clip with a 35g closing force is applied to the spinal cord for 1 minute, creating a moderately-
severe contusion-compression injury. A two-level laminectomy is performed at T6-T7 to expose
the spinal cord. B) Intraspinal injections are given at four locations surrounding the injury site:
two rostral and two caudal. Injections are approximately 2 mm from the injury site, 1 mm from
the spinal midline, and 1 mm deep into the spinal cord.
2.2 Viral Vector Constructs
The VEGF-A-activating ZFP and controls were provided in viral vectors by Sangamo
BioSciences (Pt. Richmond, CA) and have been previously described [321, 334]. The ZFP-
VEGF expression cassette is illustrated in Figure 15. The VEGF-A-activating ZFP (32E-p65) –
referred to as ZFP-VEGF for the remainder of the manuscript – is a 378 amino acid multi-
domain protein that is composed of three functional regions: (1) the nuclear localization signal
(NLS) of the large T-antigen of SV40, (2) a designed 3-finger zinc-fingered protein (32E) that
binds to a 9 base-pair target DNA sequence (GGGGGTGAC) present in the human VEGF-A
promoter region and (3) the transactivation domain from the p65 subunit of human NFκB, which
is identical to VZ+434, subcloned into pVAX1 (Invitrogen, San Diego, CA) with expression
driven by the human cytomegalovirus (CMV) promoter. Adenoviral (Ad5-32Ep65 or Ad5-
eGFP) vectors, referred to as AdV-ZFP-VEGF and AdV-eGFP, respectively, were packaged by
transfecting T-REx-293 cells (Invitrogen, San Diego, CA). T-REx-293 cells in ten-stack cell
factories were inoculated with Ad vectors at a multiplicity of infection (MOI) of 50 to 100
particles per cell. When adenoviral mediated cytopathy effect (CPE) was observed, cells were
harvested and lysed by three cycles of freezing and thawing. Crude lysates were clarified by
80
centrifugation, and 293 cells were seeded at 4x107 PFU and grown 3 days prior to transfection.
The calcium phosphate method was used for transfection. Infectious titers of the Ad vectors were
quantified using the Adeno-X Rapid Titer kit (Clontech, Mountain View, CA).
Figure 15. ZFP-VEGF expression cassette. CMV pro – cytomegalovirus promoter/enhancer;
NLS – nuclear localization sequence; VEGF-ZFP – engineered VEGF transcriptional activator;
NF-қB p65 AD – transactivation domain from the p65 subunit of human NF-κB; bGH pA –
bovine growth hormone polyadenylation sequence. Arrow indicates transcription initiation site.
Control viruses Ad-DsRed and AAV-GFP have been designed with both VEGF-ZFP and NF-қB
p65 domains deleted, and either DsRed or GFP domains inserted, respectively.
2.3 Western Blotting
Following deep inhalational anesthetic (isoflurane), animals were sacrificed at five or ten days
post-SCI and a 5 mm length of the spinal cord centered at the injury site was extracted. Samples
were mechanically homogenized in 400 μl of homogenization buffer (0.1M Tris, 0.5M EDTA,
0.1% SDS, 1M DTT solution, 100mM PMSF, 1.7mg/ml aprotinin, 1mM pepstatin, 10mM
leupeptin) and centrifuged at 15,000 rpm for 10 minutes at 4 °C. Supernatants were extracted
and used for western blot analysis, where 20 μg of protein was loaded into 7.5% or 12%
polyacrylamide gels (Bio-Rad, Mississauga, Canada). Membranes were probed with either
81
monoclonal anti-NF200 antibody (1:2000; Sigma, Oakville, Canada), rabbit IgG anti-VEGF-A
antibody (1:100; Santa Cruz Biotechnology, Santa Cruz, CA), or rabbit IgG anti-NFκBp65
(1:1000; Santa Cruz Biotechnology, Santa Cruz, CA). NFκBp65 rabbit polyclonal antibody
(1:500; Abcam, Toronto, ON, Canada) was used to recognize the p65 activation domain in the
ZFP-VEGF treated animals. Primary antibodies were labelled with horseradish peroxidase-
conjugated secondary antibodies (goat anti-mouse/rabbit IgG, 1:3000; Jackson Immuno Research
Laboratories, West Grove, PA), and bands were imaged using an enhanced chemiluminescence
(ECL) detection system (Perkin Elmer, Woodbridge, Canada). Mouse monoclonal, beta-actin
(1:500; Chemicon International, Inc., Temecula, CA) was immunoblotted as a loading control.
Quality One detection software (Bio-Rad Laboratories, Hercules, CA) was used for integrated
optical density (OD) analysis.
Table 3. Antibodies used in Western Blot analysis.
Antibody Specificity Source Company Catalog # Working Dilution
anti-NF200 Axons Mouse Sigma N0142 1:2000
anti-VEGF-A VEGF Rabbit Santa Cruz sc-152 1:100
anti-NFκBp65 p65 fragment of
NFkB protein
Rabbit Abcam ab31481 1:500
β-actin Actin Mouse Chemicon MAB1501 1:500
82
2.4 Evans Blue: Blood-Spinal Cord Barrier Disruption
Animals were injected with 1 mL of 2% Evans Blue (EB) into the tail vein [335, 336]. EB was
allowed to circulate for 20-30 minutes and then the animals were transcardially perfused with
saline. One cm of the spinal cord surrounding the injury site was extracted, weighed, and snap-
frozen in dry ice. Samples were then homogenized in 400 μl of N,N’-dimethylformamide
(DMF) and incubated at 50°C for 72 hours. Samples were centrifuged at 18,000 rpm for 30
minutes. The supernatant was collected, aliquoted into a 48 well glass plate, and colorimetric
measurements were performed using a Perkin Elmer Victor3 1420 spectrophotometer at the
absorption maximum for EB (620 nm). Samples were normalized to the original sample weight,
and EB concentration was calculated based on a standard curve of EB in DMF (data reported as
EB per spinal cord weight: μg/g).
2.5 Histochemistry
2.5.1 Histological Processing
Following deep inhalational anesthetic (isoflurane), animals were transcardially perfused with
4% paraformaldehyde (PFA) in 0.1 M PBS. Then, the tissues were cryoprotected in 20% sucrose
in PBS. A 10 mm (1 cm) length of the spinal cord centered at the injury site was fixed in tissue-
embedding medium. The tissue segment was snap frozen on dry ice and sectioned on a cryostat
at a thickness of 14 μm. Serial spinal cord sections at 500 μm intervals were stained with myelin-
selective pigment Luxol Fast Blue (LFB) and the cellular stain Hematoxylin-Eosin (HE) to
identify the injury epicenter. Tissue sections showing the largest cystic cavity and greatest
83
demyelination were taken to represent the injury epicenter. Rostrocaudal spinal cord maps were
created by calculating the distance from the epicenter to the corresponding tissue sections.
2.5.2 Immunohistochemistry
The following primary antibodies were used: mouse anti-NeuN (1:500; Chemicon International,
Inc., Temecula, CA, USA) for neurons, mouse anti-GFAP (1:500; Chemicon International, Inc.,
Temecula, CA, USA) for astrocytes, mouse anti-APC (CC1, 1:100; Calbiochem, San Diego, CA,
USA) for oligodendrocytes, mouse anti-RECA-1 (1:25; Serotec Inc., Raleigh, NC, USA) for
endothelial cells, and rabbit anti-Ki67 (1:1000; Abcam, Toronto, ON, Canada) for cell
proliferation (See Table 4). The sections were rinsed three times in PBS after primary antibody
incubation and incubated with either fluorescent Alexa 568, 647 or 488 goat anti-mouse/rabbit
secondary antibody (1:400; Invitrogen, Burlington, Canada) for 1 hour. The sections were rinsed
three times with PBS and cover slipped with Mowiol mounting medium containing DAPI
(Vector Laboratories, Inc., Burlingame, CA) to counterstain the nuclei. Immunohistochemistry
controls were completed exactly as described above; however, the primary antibody was omitted
from the protocol and only the secondary antibody was added. The images were taken using
either a Zeiss 510 laser confocal microscope (Carl Zeiss Canada, Toronto, ON, Canada) or a
Leica MZ FLIII epifluorescence microscope (Leica Microsystems, Richmond Hill, ON, Canada).
84
Table 4. Antibodies used in immunohistochemistry.
Antibody Specificity Source Company Catalog # Working Dilution
anti-NeuN Neuron Mouse Chemicon MAB377 1:500
anti-GFAP Astrocyte Mouse Chemicon MAB3402 1:500
anti-APC Oligodendrocyte Mouse Calbiochem OP80 1:100
anti-RECA-1 Endothelial cell Mouse Serotec MCA970R 1:25
anti-SMI-71 Blood-spinal
cord barrier
Mouse Calbiochem NE1026 1:1000
anti-Ki67 Proliferation Rabbit Abcam ab16667 1:1000
2.5.3 Quantification of Blood Vessels
Tissue sections – taken from animals sacrificed 10 days post-SCI – were used for
immunofluorescence studies with a monoclonal antibody specific for RECA-1 (Rat Endothelial
Cell Antibody). As shown in Figure 16, the counting of vessels was performed on 4 selected
fields (ventral horn, dorsal horn, left and right lateral columns) in each section under 25X
magnification (0.14 mm2). These areas were selected to provide a representative quantification
of the whole cord, as vascularity varies throughout the grey and white matter. The number of
RECA-1-positive vessels was calculated at 2 mm and 4 mm, both rostral and caudal from the
epicenter, for each animal.
85
Figure 16. Schematic of immunohistochemistry quantification. Four areas of the spinal cord
were selected (2 white matter, 2 grey matter) under 25X magnification. Values from each cord
were either reported as, (i) pooled values or (ii) separated into grey and white matter values.
2.5.4 Identification of Functional Blood Vessels
At 1 hour, 4 hours, and 1, 3, 5, 7, 10, 14 days post-injury animals were sedated with inhalational
anesthetic (isoflurane) and the right femoral vein was surgically exposed (Figure 17). 0.5 mg of
FITC-LEA diluted in saline to a final volume of 1 mL was injected into the femoral vein and was
allowed to circulate for 20-30 minutes (FITC-conjugated Lycopersicon esculentum agglutinin;
Cat # L0401, Sigma, Oakville, ON, Canada). Animals were transcardially perfused with 4%
paraformaldehyde and tissues were fixed and processed as described above. Tissue sections at
the injury epicenter, and 1000 μm, 500 μm, and 250 μm (rostral and caudal) from the epicenter
were used to assess the spatial distribution of vascular damage. Tissue sections were stained
with RECA-1 (1:25; Serotec Inc., Raleigh, NC, USA) to identify endothelial cells/blood vessels.
86
Vessels which were co-labelled with FITC-LEA and RECA-1 were identified as “functional”,
since the presence of FITC-LEA indicated these vessels were connected to the systemic
vasculature and exhibited a perfusion state. Vascular quantification was performed on four
selected fields (ventral horn, dorsal horn, left and right lateral columns) in each section under
25X magnification (0.14 mm2) (Figure 16). The data are presented, separating the white matter
and grey matter, since these regions showed distinct variation in their vascular responses.
Figure 17. Femoral vein injections. Injections of FITC-LEA were delivered into the right
femoral vein of the animals. FITC-LEA was allowed to circulate for 20-30 minutes prior to
sacrifice.
87
2.5.5 Quantification of Apoptosis
An in situ terminal-deoxy-transferase mediated dUTP nick end-labeling (TUNEL) apoptosis kit
(Chemicon International, Inc., Temecula, CA) was used to label apoptotic cells in tissues
extracted from animals 5 days post-SCI. TUNEL staining was completed as described in the
manufacturer’s instructions. The numbers of TUNEL positive nuclei were counted at the
epicenter, as well as at 1, 2 and 3 mm (rostral and caudal) from the injury epicenter. In each
tissue section, the whole section was counted to include all apoptotic nuclei visible. The entire
cord was quantified, as apoptosis may not be evenly distributed throughout the cord, and
sampling four sections (as per Figure 16), may not provide the most representative data for cell
death analysis.
2.5.6 Quantification of Neurons
Tissue sections – taken from animals sacrificed 5 days post-SCI – were used for
immunofluorescence studies with a monoclonal antibody specific for NeuN (neuronal nuclei).
Neuron quantification was conducted under 25X magnification (0.14 mm2), and all NeuN-
positive cells were counted. NeuN is a nuclear antibody, therefore neuronal quantification was
only carried out in the grey matter. The number of NeuN-positive cells was calculated at 1, 2
and 3 mm, both rostral and caudal from the epicenter, as well as at the epicenter.
2.5.7 Quantification of Angiogenesis
Tissue sections – taken from animals sacrificed 5 days post-SCI – were used to quantify
angiogenesis following SCI and AdV-ZFP-VEGF administration. Angiogenesis was calculated
88
as vessels co-labelled with RECA-1 and Ki67 (cellular proliferation). As shown in Figure 16, the
counting of angiogenesis was performed on 4 selected fields (ventral horn, dorsal horn, left and
right lateral columns) in each section under 25X magnification (0.14 mm2). The number of
angiogenic vessels were calculated at 1, 2 and 3 mm, both rostral and caudal from the epicenter,
for each animal. Rostral and caudal values were pooled for each distance.
2.5.8 Assessment of Tissue Sparing and Cavity Formation
Tissue sparing and cavity formation was analyzed 8 weeks after SCI, at the center of the lesion, 2
mm above and 2 mm below the epicenter. Sections were stained with LFB-HE. The
measurements were carried out on coded slides using StereoInvestigator software (MBF
Bioscience, Williston, VT). Cross-sectional residual tissue and cavity areas were normalized
with respect to total cross-sectional area and the areas were calculated every 500 µm within the
rostrocaudal boundaries of the injury site.
2.6 Behavioural Testing
2.6.1 Open-Field Locomotor Scoring
Locomotor recovery of the animals was assessed by two independent observers using the 21
point Basso, Beattie, and Bresnahan (BBB) open field locomotor score [337] from 1 to 8 weeks
after SCI. The BBB scale was used to assess hindlimb locomotor recovery including joint
movements, stepping ability, coordination, and trunk stability. Testing was done every week on a
blinded basis and the duration of each session was 4 minutes per rat. Scores were averaged
89
across both the right and left hindlimbs to arrive at a final motor recovery score for each week of
testing.
2.6.2 Automated Gait Analysis (Catwalk™)
Gait analysis was performed using the Catwalk™ system (Noldus Information Technology,
Wageningen, Netherlands) as described [338, 339]. In short, the system consists of a horizontal
glass plate and video capturing equipment placed underneath and connected to a PC. In our
work, for correct analysis of the gait adaptations to the chronic compression, after
standardization of the crossing speed, the following criteria concerning walkway crossing were
used: (1) the rat needed to cross the walkway, without any interruption, and (2) a minimum of
three correct crossings per animal were required. Files were collected and analyzed using the
Catwalk™ program, version 7.1. Individual digital prints were manually labeled by one observer
blinded to groups. With the Catwalk™, a vast variety of static and dynamic gait parameters can
be measured during spontaneous locomotion. In the present study, we examined the following
parameters, most of which have been studied in human CSM gait analysis:
• Forelimb stride length (expressed in mm): distance between two consecutive forelimb
paw placements
• Hindlimb print area (expressed in mm2)
• Hindlimb print width (expressed in mm)
• Hindlimb print length (expressed in mm)
• Hindlimb swing speed (expressed in pixels/sec): is the speed of the paw during the swing
phase (the duration of no paw contact with the glass plate during a step cycle).
90
Before surgery, animals were acclimated and trained to the walking apparatus following the
method describing by Gensel et al. [340].
2.6.3 Neuropathic Pain: Von Frey Filaments
At level mechanical allodynia was determined at 4 weeks and 8 weeks post-SCI using 2 g and 4
g von Frey monofilaments as previously described [173]. Animals were acclimatized for 30
minutes in an isolated room for 30 minutes prior to pain testing. The von Frey monofilament
was applied to the dorsal skin surrounding the incision/injury site 10 times and animals’
behavioural response to each was recorded. An adverse response to the application of the
monofilament (determined in advance of experiments) included vocalization, licking, biting and
immediate movement to the other side of the cage. The proportion of rats to exhibit allodynia in
each group is reported, and an increased number of responses was associated with the
development of at-level mechanical allodynia. Below-level mechanical allodynia was determined
by quantifying the pain threshold of the hindpaws. Animals were placed in stance on a raised
grid, allowing von Frey filaments to be applied to the plantar surface of the hindpaw. Increasing
monofilaments were used (2, 4, 8, 10, 16, 21, and 26 g) until the animal displayed an adverse
response (as described above). The weight of the von Frey filament that elicited the response
was recorded as the pain threshold value, with lower threshold values indicating increased
sensitivity to mechanical stimuli (and perhaps the development of mechanical allodynia).
Finally, below-level thermal allodynia was assessed using the tail flick method. A 50°C thermal
stimulus was applied to the distal portion of the animals’ tail by a Tail Flick Analgesia Meter
(IITC Inc. Life Science, Woodland Hills, California, USA), and the time for the animal to
91
remove its tail from the stimulus was recorded. The latency time is graphed for each treatment
group, and decreased latency times were associated with the development of thermal allodynia.
2.7 Electrophysiology
2.7.1 Motor Evoked Potentials
Motor evoked potentials (MEPs): In addition to the behavioural assessements, MEPs were
recorded in vivo to assess the physiological integrity of spinal cord. This approach has
been extensively used in our laboratory in rodent models of SCI [5, 341, 342]. In vivo recordings
of motor evoked potentials were recorded from the each of the treatment and control groups at 8
weeks post-injury. For MEPs, rats were under light isoflourane anaesthesia (<1%),
and recordings were obtained from hindlimb biceps femoris muscle. Stainless steel subdermal
needle electrodes were inserted into the muscle. Recordings were acquired using Keypoint
Portable (Dantec Biomed, Denmark). A reference electrode was placed under the skin between
the recording and stimulating electrodes. Stimulation was applied to the midline of the cervical
spinal cord (0.13 Hz; 0.1 ms; 2 mA; 200 sweeps). The amplitude was determined by the
difference between the positive peak and negative peak. Latency was calculated as the time from
the start of the stimulus artifact to the first prominent peak. For individual rats, the average of
peak amplitude and latency was averaged from 200 sweeps and analyses was undertaken by
ANOVA.
92
2.7.2 H-Reflex
The Hoffmann reflex is one of the most studied reflexes in humans and is the electrical analogue
of the monosynaptic stretch reflex. The H-reflex is evoked is evoked by low-intensity electrical
stimulation of the afferent nerve, rather than a mechanical stretch of the muscle spindle, that
results in monosynaptic excitation of alpha-motorneurons. H-reflex can be used as a tool to
study spasticity and short- and long-term plasticity of the nervous system. Recording electrodes
were placed two centimeters apart in the mid-calf region and the posterior tibial nerve was
stimulated in the popliteal fossa using a 0.1 ms duration square wave pulse at a frequency of 1
Hz. The rats were tested for maximal plantar H-reflex / maximal plantar M-response (H /M)
ratios to determine the excitability of the reflex. The recordings were filtered between 10-10000
Hz.
2.8 Statistical Analysis
Data were analyzed with SigmaPlot software (Systat Software Inc., San Jose, California, USA).
For data that investigated the percentage of cells, the data were subjected to an arcsine
transformation prior to statistical analysis to attain a more normal distribution. For comparison
of groups sampled at various distances from the injury site (TUNEL, RECA-1, NeuN), a two-
way analysis of variance (ANOVA) with repeated measures was used, followed by the post-hoc
Holm-Sidak test. For comparisons of multiple groups at a single time point (Western blotting,
BBB, Catwalk™, Electrophysiology), a one-way ANOVA was performed, followed by the post-
hoc Holm-Sidak test.
93
The Holm-Sidak post-hoc was used, as it is recommended as the best multiple comparisons test
following an ANOVA [343, 344]. The Holm-Sidak test is more sensitive and powerful
compared to Bonferroni or Tukey post-hoc tests, therefore it is more likely to detect all
significant results and increases the probability of not committing type II errors (reduces the
chance of rejecting something that is true).
In all figures, the mean value ± SEM are used to describe the results. Statistical significance was
accepted for p values of <0.05.
94
Chapter 3
3 Characterization of Vascular Disruption and Blood-Spinal Cord Barrier Permeability Following Traumatic Spinal Cord Injury
3.1 Abstract
Spinal cord injury (SCI) can be divided into a primary and secondary injury, which refer to the
initial mechanical trauma and later cascade of pathophysiological damage, respectively.
Importantly, vascular changes following injury – such as increased vascular permeability and
disruption to the blood-spinal cord barrier (BSCB) – appear to contribute to the progressive
pathophysiology of SCI, although much remains to be learned about this key mechanism. Using
a clip-compression thoracic SCI model, I characterized the vascular damage and disruption of the
BSCB with the aim of delineating these vascular changes. Female Wistar rats (300-350g)
received a 35 g clip-compression injury at T6-T7. Animals were sacrificed at 1 hour, 4 hours,
and 1, 3, 5, 7, 10, 14 days post-injury. Prior to sacrifice, animals were injected with vascular
tracing dyes: 2% Evans Blue (EB) or FITC-LEA to assess BSCB integrity or vascular
architecture, respectively. Immunohistochemistry was used to verify vascular tracing data.
Spectrophotometry of weight normalized EB showed a dramatic increase in BSCB disruption at
1, 3, and 5 days post-injury compared to uninjured controls (p < 0.01). FITC-LEA identified
functional vasculature was reduced by 24 hours up to 14 days after injury. Similarly, RECA-1
immunohistochemistry showed a significant decrease in the number of vessels observed at 2 and
4 mm from the lesion epicenter at 24 hours post-injury compared to uninjured animals (p < 0.01),
with endogenous re-vascularization showing a slight increase in vessel counts by 10 days post-
95
injury. Separation of the white matter and grey matter quantification showed that grey matter
vessels are more susceptible to SCI, compared to white matter vasculature. Finally, I observed
endogenous angiogenesis following SCI. The angiogenic response spanned between 3 and 7
days post-injury, although maximal endothelial cell proliferation was observed at day 5. These
data indicate that BSCB disruption and endogenous re-vascularization occur at specific time-
points following injury, which may be important for developing effective therapeutic
interventions for SCI.
3.2 Introduction
In general, traumatic spinal cord injury (SCI) results in drastic alterations in spinal cord blood
flow and can cause systemic hypotension. However, at the cellular level, SCI pathology results
in rapid, permanent changes to the structure and function of the microvessels [83, 89, 345]. This
includes loss of microcirculation, disruption to the blood-spinal cord barrier (BSCB), loss of
structural organization, endothelial cell death and vascular remodeling [58, 83]. These changes
have more widespread effects, since vascular damage assists in spreading and enhancing the
secondary injury cascades following SCI. Notably, the breakdown of the BSCB increases the
inflammatory response (allowing inflammatory cells to enter the injury site). Moreover, the
death of endothelial cells, severed vascular networks and ischemia result in apoptosis and cell
death of other CNS cells, since they cannot survive without an adequate blood supply [11, 125,
129, 130].
The major form of vascular regeneration that occurs in injuries/wound-healing is angiogenesis
(although post-natal vasculogenesis has been shown to occur) [227]. Angiogenesis, defined as
96
the production of blood vessels from pre-existing vessels, is a complex process and critical for
the remodeling and survival of tissues following injury [222]. Previous SCI research has
confirmed that a relationship exists between blood vessel density and improved functional
outcomes, therefore, sparing or regenerating vasculature post-injury would be a desirable
outcome [324-326, 346]. These findings are further supported by studies that have demonstrated
that CNS microvessels provide trophic support, and are essential for survival of localized tissue
[291, 302]. Recently, Bearden et al. showed that regenerating axons have a tendency to grow
along blood vessels, suggesting that the vasculature may act as a scaffold and provide guidance
for axonal sprouting following injury [347].
Angiogenesis does occur following injury; however, unfortunately the endogenous mechanisms
cannot provide a sufficient amount of repair. This leaves the injury site in a constant state of
hypoxia-ischemia, leading to further cell death. It has been proposed that following SCI, the
angiogenic response occurs within the first week post-injury, with signs of endogenous
revasularization disappearing shortly after that [89, 348]. Logically, novel vascular therapies
would aim to target early vascular mechanisms (between 3 and 7 days) to maximally improve the
local vasculature and blood supply, in turn, reducing the amount of cell loss and neurological
deficits. Moreover, residual vessels or newly generated vessels that are damaged and/or
immature present an opportunity for adverse physiological events; notably providing a direct
route to the lesion site for circulating inflammatory mediators. Since the BSCB is disrupted, this
allows a large influx of inflammatory cells to enter into an otherwise immune-protected CNS.
97
Previous characterizations of the BSCB and vascular disruption
Previous groups have characterized and investigated many of the cellular events following SCI
[129, 349-351]. Additionally, previous work has been published which describes some of the
vascular changes that result from SCI, including reduction in blood flow, disruption of the blood-
spinal cord barrier (BSCB) and loss of structural organization [58, 83, 89, 97, 323, 345, 352,
353]. However, our study investigates a number of novel aspects compared to other SCI
vascular studies: 1) In a model of clip-compression injury, BSCB permeability has not been
examined. 2) BSCB disruption and blood vessels have been examined separately in previous
studies. In my research I examine both aspects of vascular injury, ideally providing a more
detailed assessment of the damage following SCI. 3) In clip-compression injury, vascular
studies have not extended past 24 hours. 4) The clip-compression injury offers an alternative
SCI model for research, and may exhibit varied vascular profiles compared to contusion or
transection models. 5) The endogenous angiogenic response following clip-compression injury
has not been examined.
To the best of our knowledge, previous studies have only examined the cellular changes in that
occur in “mild” spinal cord injury; the NYU impactor model has been commonly used [66, 97,
129, 354, 355], or in transection models [352, 353]. Other studies that have used the clip-
compression model have examined blood flow, hemorrhage, blood gases; however, none have
investigated the cellular profiles, nor the angiogenic response. Moreover, the majority of these
studies have examined only acute vascular changes (≤ 24 hours), whereas we have examined up
to 14 days post-injury. As previously mentioned, the clip-compression model of SCI (as used by
the Fehlings’ laboratory) presents an alternative SCI model that offers differences compared to
other models, ultimately helping to mimic the diversity and heterogeneity observed in the clinic.
98
The clip-compression model has a number of key advantages over other models of SCI, which
may more accurately portray the human condition. Of note, the clip-compression injury results
in both dorsal and ventral damage of the cord, and the clip-compression model also creates
temporary ischemia and impaired blood flow, which contribute to secondary pathology of the
injury, and are commonly observed in man.
This study aims to examine the vascular changes that result from a moderately-severe injury,
and determine the temporal and spatial profile of these changes. In order to critically assess the
outcomes of any therapeutic intervention (and in my studies, a ZFP-VEGF gene therapy), it is
imperative that we first understand the vascular changes involved in the clip-compression model
of SCI. Although previous research has investigated the vascular changes of mild spinal cord
injuries, the amount of damage and disruption to microvascular structures is anticipated to be
more extensive and will therefore result in different characteristics and outcomes within the
injury epicentre and penumbra. This research presents novelty in describing the vascular
changes in an alternate, well-utilized model of SCI: the clip-compression model. Additionally,
this study employs some novel techniques for assessing vasculature, specifically highlighting the
differences in perfused and non-perfused vessels. Importantly, the results of this study provide
key insights into the dynamic vascular alterations and endogenous repair that occur following
SCI. Take together, these data may help elucidate ideal time-points and spatial areas that could
maximize the effectiveness of therapeutics aiming to target the spinal vasculature following
injury.
99
3.3 Objective
Characterize the structural and functional changes to the spinal cord vasculature following
moderately-severe clip-compression spinal cord injury.
3.4 Hypothesis
It is hypothesized that a moderately-severe SCI will result in significant disruption to the BSCB,
and a significant loss of structure and function to the vasculature at the epicenter and adjacent
spinal levels.
3.5 Specific Aims
1. Determine the temporal profile of BSCB disruption following SCI.
2. Determine the temporal progression of vascular damage following SCI.
3. Examine the spatial distribution of vascular damage following SCI, specifically the
rostrocaudal distribution and the grey vs. white matter changes.
4. Investigate the spatio-temporal progression of endogenous angiogenesis of the spinal
cord post-SCI.
100
3.6 Methods
Animal Model of SCI
All animal protocols (979.31 and 891.9) and procedures were approved by the Animal Care
Committee at the University Health Network, Toronto, ON, Canada.
Animals were subject to a contusive-compressive spinal cord injury using a modified aneurysm
clip, which has been extensively characterized by the Fehlings’ laboratory and previously
described [74]. Briefly, adult female Wistar rats (250-300g; Charles River, Montreal, Canada)
were deeply anesthetized using 4% isoflurane, and were sedated for the remainder of the surgery
under 2% isoflurane. Animals received a two-level laminectomy of mid-thoracic vertebral
segments T6-T7. A modified clip calibrated to a closing force of 35g was applied extradurally to
the cord for 1 minute and then removed (Figure 14). The incision was closed in layers using
standard silk sutures and animals were given a single dose of buprenorphine (0.05 mg/kg).
Animals were allowed to recover in their cage under a heat-lamp and, subsequently, were housed
in a temperature-controlled warm room (26°C) with free access to food and water. Animals were
given buprenorphine (0.05 mg/kg) every 12 hours for 48 hours following surgery, and their
bladders were manually voided three times daily. A subcutaneous injection of 10mg/kg of
cyclosporin-A was administered daily starting 24 hours prior to the SCI until the end of the
experiments for immunosuppression. The number of animals used in each experiment is
outlined in Table 5. Final animal numbers in each group are slightly varied due to unexpected
mortalities during the experiments.
101
Evans Blue: Blood-Spinal Cord Barrier Disruption
Animals were injected with 1 mL of 2% Evans Blue (EB) into the tail vein [335, 336]. EB was
allowed to circulate for 20-30 minutes and then the animals were transcardially perfused with
saline. One cm of the spinal cord surrounding the injury site was extracted, weighed, and snap-
frozen in dry ice. Samples were then homogenized in 400 μl of N,N’-dimethylformamide
(DMF) and incubated at 50°C for 72 hours. Samples were centrifuged at 18,000 rpm for 30
minutes. The supernatant was collected, aliquoted into a 48 well glass plate, and colorimetric
measurements were performed using a Perkin Elmer Victor3 1420 spectrophotometer at the
absorption maximum for EB (620 nm). Samples were normalized to the original sample weight,
and EB concentration was calculated based on a standard curve of EB in DMF (data reported as
EB per spinal cord weight: μg/g).
Histochemistry
Histological Processing. Following deep inhalational anesthetic (isoflurane), animals were
transcardially perfused with 4% paraformaldehyde (PFA) in 0.1 M PBS. Then, the tissues were
cryoprotected in 20% sucrose in PBS. A 10 mm (1 cm) length of the spinal cord centered at the
injury site was fixed in tissue-embedding medium. The tissue segment was snap frozen on dry
ice and sectioned on a cryostat at a thickness of 14 μm. Serial spinal cord sections at 500 μm
intervals were stained with myelin-selective pigment Luxol Fast Blue (LFB) and the cellular
stain Hematoxylin-Eosin (HE) to identify the injury epicenter. Tissue sections showing the
largest cystic cavity and greatest demyelination were taken to represent the injury epicenter.
Rostrocaudal spinal cord maps were created by calculating the distance from the epicenter to the
corresponding tissue sections.
102
Immunohistochemistry. Mouse anti-RECA-1 (1:25; Serotec Inc., Raleigh, NC, USA) and rabbit
anti-Ki67 (1:1000; Abcam, Toronto, ON, Canada) were used to stain endothelial cells and
proliferating cells, respectively (See Table 4). The sections were rinsed three times in PBS after
primary antibody incubation and incubated with either fluorescent Alexa 568, 647 or 488 goat
anti-mouse/rabbit secondary antibody (1:400; Invitrogen, Burlington, Canada) for 1 hour. The
sections were rinsed three times with PBS and cover slipped with Mowiol mounting medium
containing DAPI (Vector Laboratories, Inc., Burlingame, CA) to counterstain the nuclei. The
images were taken using a Leica MZ FLIII epifluorescence microscope (Leica Microsystems,
Richmond Hill, ON, Canada).
Identification of Blood Vessels. At 1 hour, 4 hours, and 1, 3, 5, 7, 10, 14 days post-injury
animals were sedated with inhalational anesthetic (isoflurane) and the right femoral vein was
surgically exposed (Figure 17). 0.5 mg of FITC-LEA diluted in saline to a final volume of 1 mL
was injected into the femoral vein and was allowed to circulate for 20-30 minutes (FITC-
conjugated Lycopersicon esculentum agglutinin; Cat # L0401, Sigma, Oakville, ON, Canada).
Animals were transcardially perfused with 4% paraformaldehyde and tissues were fixed and
processed as described above. Tissue sections at the injury epicenter, and 1000 μm, 500 μm, and
250 μm (rostral and caudal) from the epicenter were used to assess the spatial distribution of
vascular damage. Tissue sections were stained with RECA-1 (1:25; Serotec Inc., Raleigh, NC,
USA) to identify endothelial cells/blood vessels. Vessels which were co-labelled with FITC-
LEA and RECA-1 were identified as “functional”, since the presence of FITC-LEA indicated
these vessels were connected to the systemic vasculature and exhibited a perfusion state.
Vascular quantification was performed on four selected fields (ventral horn, dorsal horn, left and
right lateral columns) in each section under 25X magnification (0.14 mm2) (Figure 16). The data
103
are presented, separating the white matter and grey matter, since these regions showed distinct
variation in their vascular responses.
Quantification of Angiogenesis. Tissue sections – taken from animals sacrificed 1 hour, 4 hours,
and 1, 3, 5, 7, 10, 14 days post-injury – were used to quantify angiogenesis following SCI.
Angiogenesis was calculated as vessels co-labelled with RECA-1 and Ki67 (cellular
proliferation). As shown in Figure 16, the counting of angiogenesis was performed on 4 selected
fields (ventral horn, dorsal horn, left and right lateral columns) in each section under 25X
magnification (0.14 mm2). The number of angiogenic vessels was calculated at 500 μm, 1, 2 and
3 mm, both rostral and caudal from the epicenter, for each animal. Rostral and caudal values
were pooled for each distance.
Statistical Analysis
Data were analyzed with SigmaPlot software (Systat Software Inc., San Jose, California, USA).
For data that investigated the percentage of cells, the data were subjected to an arcsine
transformation prior to statistical analysis to attain a more normal distribution. For comparison
of groups sampled at various distances from the injury site I used two-way analysis of variance
(ANOVA) with repeated measures, followed by the post-hoc Holm-Sidak test. In all figures, the
mean value ± SEM are used to describe the results. Statistical significance was accepted for p
values of <0.05.
104
Table 5. Animals used in Chapter 3 experiments.
Experiment Group Original Animal # Final Animal #
Evans Blue Sham 6 6 (Figure 18) 1 hour 10 8
4 hour 10 8
24 hour 10 8
3 day 10 10
5 day 10 10
7 day 10 8
10 day 10 10
14 day 10 9
RECA/FITC-LEA Sham 5 5 (Figure 19, 20, 21; Table 5) 1 hour 5 5
4 hour 5 5
24 hour 5 5
3 day 5 4
5 day 5 5
7 day 5 5
10 day 5 4
14 day 5 5
Ki67/RECA-1 Sham 5 5 (Figure 22) 1 hour 5 5
4 hour 5 5
24 hour 5 5
3 day 5 4
5 day 5 5
7 day 5 5
10 day 5 4
14 day 5 5
105
3.7 Results
3.7.1 BSCB permeability following SCI
A key component in understanding the disruption of the vasculature following SCI is to
investigate the vascular/BSCB permeability. The opening of the BSCB results in negative events
that propagate SCI pathology – including inflammation, edema, hemorrhage and homeostatic
dysregulation – however, we may be able to take advantage of BSCB breakdown, since it may
allow for certain drugs/therapies to enter the spinal cord, which may otherwise be excluded from
the highly regulated CNS environment. We hypothesized that elucidating the BSCB
permeability following SCI may offer important information that may identify the most optimal
time-window for therapeutic intervention. Here, we have examined the temporal changes to
BSCB permeability: from 1 hour post-injury to 14 days post-injury. We observe that the BSCB
is disrupted very early on (as early as 1 hour following injury), maximally disrupted at 24 hours
post-SCI, and appears to be restored by 14 days (Figure 18). Therefore, we suggest that there is
a relatively large time-window to exploit on the disruption of the BSCB. In a model of clip-
compression injury, therapies administered between 1 hour and 5 days (and most notably at 24
hours post-injury), may have an added advantage in reaching their CNS targets.
106
Figure 18. Blood-spinal cord barrier permeability following traumatic SCI. Evans Blue
extravasation between 1 hour and 14 days post-SCI. Evans Blue (EB) extravasation following
SCI was quantified by spectrophotometry at 630 nm. EB concentrations were calculated from a
standard curve using concentrations between 0 and 50 ng. Tissue samples were normalized to
their wet weight. Values are shown as the mean ± SEM . N-values are displayed in the figure
legend. One-way ANOVA, Dunn’s post-hoc. * p < 0.05, compared to Sham.
107
3.7.2 Spatial-temporal disruption of the vasculature
The next objective was to delineate the distribution of the vascular damage following clip-
compression injury. Not surprisingly, I detected a significant disruption to the localized
vasculature (Figures 19 and 20). The epicenter of the injury is most significantly disturbed, with
the adjacent sections exhibiting less damage. RECA-1 (Figure 19A) and FITC-LEA (Figure
19B) counts are both significantly below sham animals at all time points, spanning 500 µm
rostrocaudal (p < 0.001). Interestingly, the vascular changes appear to stay relatively confined,
spanning approximately 2 mm rostrocaudal from the injury epicenter (Figure 19, Table 6).
Adjacent sections to the epicenter appear to show vascular recovery (particularly more distal
areas) in comparison to the lesion epicenter, which remains significantly altered following injury.
Overall, it the penumbra of vascular damage remains relatively small (spanning approximately 1
mm by 14 days), suggesting that vascular therapies may only need to target a localized area to be
effective.
To assess the functionality of the vasculature following injury, I compared the number of vessels
marked by in vivo tracer (FITC-LEA) and ex vivo histological RECA-1 staining (Figure 19). I
observed that RECA-1 counts were higher than FITC-LEA-positive vessels, indicating that
although vascular components may be preserved post-SCI, the perfusion of vessels is
diminished. Vessels that are RECA-1-positive, but not FITC-LEA-postive, may be physically
blocked (by blood clots), disconnected from the blood supply (as a result of mechanical trauma),
or new vessels that have not yet been connected to the vascular network (immature or angiogenic
vessels).
108
Figure 19. Spatial-temporal disruption of the spinal cord vasculature following clip-
compression injury. A) Spatio-temporal comparison of RECA-1 quantification between sham
animals and injured animals. Animals were sacrificed at 1 hour, 4 hours, 1, 3, 5, 7, 10 and 14
days post-SCI and tissues were examined at the epicenter, 250 μm, 500 μm, and 1000 μm rostral
and caudal to the injury epicenter. Significant disruption of the vasculature was observed as
early as 1 hour post-injury, with the epicenter and adjacent areas being most significantly
affected. B) Spatio-temporal comparison of FITC-LEA quantification between sham animals
and injured animals. FITC-LEA was allowed to circulate for approximately 20 minutes prior to
animal sacrifice (tagging the vasculature internally) and indicated the vessels which had
maintained blood perfusion following injury. Animals were sacrificed at 1 hour, 4 hours, 1, 3, 5,
7, 10 and 14 days post-SCI and tissues were examined at the epicenter, 250 μm, 500 μm, and
1000 μm rostral and caudal to the injury epicenter. C) Representative images taken from the
dorsal grey matter at 500 μm rostral to the epicenter at 10 days post-injury. White arrowheads
indicate vessels that are labeled with RECA-1, but not FITC-LEA. Lack of double-labeling
indicates that vascular structures (i.e. endothelial cells) are present; however, the blood vessel did
not have an active perfusion state. ** p < 0.001. Scale bar = 100 μm. Green = FITC-LEA. Red
= RECA-1. Blue = DAPI. n= 4-5 animals/time point (see Table 5).
110
Table 6. Spatial and temporal data from FITC-LEA and RECA-1 analysis.
Time Point
FITC-LEA + Vessel Counts
RECA-1 + Vessel Counts
FITC vs. RECA Counts
(%)
% FITC/RECA in Grey Matter
% FITC/RECA in White Matter
Sham Animals 265 ± 8.8 269 ± 11.4 98.7 98.5 99.6
1 hour post-injury
1000 µm Caudal 179 ± 19.3 195 ± 16.2 91.9 92.8 89.0
500 µm Caudal 141 ± 14.8 202 ± 34.7 69.8 68.3 76.1
250 µm Caudal 131 ± 2.8 217 ± 32.3 60.5 60.2 61.8
Epicenter 63 ± 14.4 138 ± 19.8 45.8 46.7 42.5
250 µm Rostral 94 ± 12.9 183 ± 34.5 51.2 44.2 74.6
500 µm Rostral 114 ± 29.9 190 ± 15.3 60.0 58.3 65.4
1000 µm Rostral 165 ± 15.3 198 ± 8.1 83.4 83.0 85.3
4 hours post-injury
1000 µm Caudal 125 ± 20.9 150 ± 28.9 83.6 78.9 94.5
500 µm Caudal 83 ± 15.5 125 ± 7.0 66.7 59.4 87.6
250 µm Caudal 68 ± 6.2 122 ± 18.2 55.2 46.9 80.8
Epicenter 27 ± 8.1 81 ± 5.7 33.8 27.0 49.0
250 µm Rostral 87 ± 21.6 130 ± 33.3 66.8 57.5 89.5
500 µm Rostral 93 ± 22.7 114 ± 26.7 81.7 80.7 83.7
1000 µm Rostral 110 ± 22.4 141 ± 24.9 78.3 73.5 89.1
24 hours post-injury
1000 µm Caudal 144 ± 13.4 208 ± 12.4 68.7 68.1 70.9
500 µm Caudal 129 ± 16.3 191 ± 21.0 67.3 68.6 64.1
250 µm Caudal 112 ± 7.3 188 ± 13.3 59.2 54.0 74.9
Epicenter 57 ± 5.9 135 ± 26.9 41.9 23.4 78.5
250 µm Rostral 138 ± 13.2 223 ± 33.0 61.8 55.2 80.8
500 µm Rostral 149 ± 21.5 197 ± 26.3 75.5 72.5 85.6
111
1000 µm Rostral 200 ± 36.9 225 ± 30.6 88.9 88.9 88.8
3 days post-injury
1000 µm Caudal 191 ± 22.4 218 ± 10.2 87.2 85.5 92.2
500 µm Caudal 194 ± 44.0 215 ± 44.2 89.8 87.4 97.0
250 µm Caudal 131 ± 15.4 160 ± 31.5 81.9 78.9 89.0
Epicenter 112 ± 15.3 143 ± 15.5 78.4 73.3 88.8
250 µm Rostral 106 ± 14.8 139 ± 21.8 76.7 70.6 91.0
500 µm Rostral 121 ± 25.9 141 ± 23.4 85.8 81.1 95.2
1000 µm Rostral 185 ± 20.4 211 ± 21.0 87.8 85.9 94.6
5 days post-injury
1000 µm Caudal 163 ± 21.2 234 ± 24.7 69.7 68.6 74.0
500 µm Caudal 117 ± 25.4 183 ± 27.3 63.8 60.6 72.8
250 µm Caudal 106 ± 9.8 195 ± 26.8 54.4 48.5 77.3
Epicenter 72 ± 16.0 124 ± 16.3 58.1 53.0 68.5
250 µm Rostral 93 ± 19.1 158 ± 18.5 58.8 49.0 86.3
500 µm Rostral 121 ± 28.9 189 ± 18.7 63.8 58.9 76.3
1000 µm Rostral 174 ± 28.2 232 ± 42.7 75.0 68.0 94.5
7 days post-injury
1000 µm Caudal 228 ± 12.8 250 ± 12.7 91.2 90.9 92.2
500 µm Caudal 213 ± 14.4 243 ± 15.2 87.4 86.0 90.9
250 µm Caudal 153 ± 4.8 207 ± 8.7 74.0 66.7 93.0
Epicenter 83 ± 9.0 158 ± 20.8 52.7 35.2 85.5
250 µm Rostral 81 ± 15.1 124 ± 8.7 65.0 51.7 90.6
500 µm Rostral 137 ± 16.7 169 ± 13.3 81.0 77.2 91.6
1000 µm Rostral 241 ± 30.1 251 ± 31.5 95.8 94.8 99.2
10 days post-injury
1000 µm Caudal 191 ± 8.7 209 ± 11.3 91.4 90.7 94.4
112
500 µm Caudal 132 ± 24.7 141 ± 21.3 93.8 93.2 95.5
250 µm Caudal 86 ± 14.1 112 ± 6.6 77.4 71.8 88.5
Epicenter 49 ± 1.8 76 ± 4.2 64.7 49.2 89.7
250 µm Rostral 141 ± 26.9 153 ± 26.9 92.1 90.1 97.6
500 µm Rostral 187 ± 27.2 203 ± 26.9 92.0 91.1 96.4
1000 µm Rostral 231 ± 20.6 236 ± 23.1 97.2 96.4 100.0
14 days post-injury
1000 µm Caudal 248 ± 8.1 269 ± 10.8 92.0 91.3 94.6
500 µm Caudal 207 ± 21.3 227 ± 23.1 91.1 90.1 94.8
250 µm Caudal 213 ± 15.5 230 ± 16.6 92.5 91.8 94.5
Epicenter 148 ± 20.8 171 ± 31.5 86.5 84.6 93.0
250 µm Rostral 196 ± 13.0 217 ± 11.6 90.5 89.1 94.1
500 µm Rostral 216 ± 13.6 231 ± 13.7 93.5 94.8 90.2
1000 µm Rostral 252 ± 19.6 263 ± 19.6 95.8 95.9 95.4
Table 6. Spatial and temporal data from FITC-LEA and RECA-1 analysis. Values are
provided from the data presented in Figure 19, Figure 20 and Figure 21. The table shows FITC-
LEA and RECA-1 counts within the spinal cord (columns 1 and 2, respectively), and displays
ratios of FITC-LEA/RECA-1 staining observed overall (column 3), in the grey matter (column 4)
and in the white matter (column 5). Values are provided for each time point between 1 hour and
14 days post-SCI, and the spatial quantification within each time point is also shown (between
1000 µm rostral and 1000 µm caudal to the injury site). Data are presented as either the mean ±
SEM (columns 1 and 2), or as percentages (columns 3-5). n= 4-5 animals/time point (see Table
5).
113
Since the vasculature of the grey and white matter varies drastically in an uninjured spinal cord,
it was of interest to investigate the two regions separately to determine if one area was more
vulnerable to vascular disruption. The results indicate that both grey and white matter
vasculature is disrupted following SCI; however, I observe that the grey matter vessels (Figure
20, Table 6) are more susceptible to interruptions in blood flow following SCI, compared to
white matter vessels (Figure 21, Table 6). Moreover, I observe that the white matter vasculature
endogenously recovers to over 90% of an uninjured cord by 5 days post-injury, and restoration of
vascular flow occurs much quicker (over 70% of vessels have a perfusion state by 24 hours post-
SCI). In the white matter, points between 500 µm rostral and 500 µm caudal are significantly
disrupted at 1 hour following injury, and only the epicenter is significantly disrupted at 4 hours
post-SCI (p < 0.001). In the grey matter, the vasculature recovers much slower and does not
recover to the same extent. Between 500 µm rostral and 500 µm caudal, a significant disruption
is observed from 1 hour and extends to 10 days post-SCI (p < 0.001). By 10 days post-SCI, less
than 50% of the vessels are perfused; however, by 14 days an average of 84% of vessels show a
perfusion state. Here I report the percentage of FITC-LEA labeled vessels relative to the number
RECA-1-positive vessels, indicating a ratio of perfused (or “functional”) of the vessels. To my
knowledge no previous studies have specifically distinguished between white and grey matter
vascular disruption in a detailed spatio-temporal analysis, and these findings have important
clinical and therapeutic implications, which will be discussed later in the discussion.
114
Figure 20. Vascular disruption of the grey matter following traumatic SCI. Spatio-
temporal quantification of vessel perfusion in the grey matter. Data shown are the % of FITC-
LEA vessels compared to RECA-1-positive vessels, at various distances from the epicenter (0 to
1000 μm rostral and caudal), as well as various time-points following injury (1 hour to 14 days
post-SCI). A drastic reduction in vascular perfusion is observed as early as 1 hour following
injury, and a partial restoration is observed by 14 days post-SCI. The epicenter and areas
directly adjacent to the epicenter show the most disruption, whereas more distal sections appear
less affected. n= 4-5 animals/time point (see Table 5). ** p < 0.001.
115
Figure 21. Vascular disruption of the white matter following traumatic SCI. Spatio-
temporal quantification of vessel perfusion in the white matter. Data shown are the % of FITC-
LEA vessels compared to RECA-1-positive vessels, at various distances from the epicenter (0 to
1000 μm rostral and caudal), as well as various time-points following injury (1 hour to 14 days
post-SCI). A drastic reduction in vascular perfusion is observed as early as 1 hour following
injury; however, the vasculature appears 95% restored by 24 hours post-SCI. The epicenter and
areas directly adjacent to the epicenter show the most disruption, whereas more distal sections
appear less affected. Compared to the grey matter vasculature, vascular disruption in the white
116
matter is confined to a narrower rostrocaudal distribution. n= 4-5 animals/time point (see Table
5). ** p < 0.001.
3.7.3 Endogenous Angiogenesis Occurs Following SCI
Very few studies have examined the endogenous angiogenic response following SCI [58, 89,
149]. Moreover, none of them have investigated such a response using a model of clip-
compression injury, or extensively examined the spatio-temporal angiogenic response, as
described in this research. In these studies, I observed a dynamic angiogenic response initiated
following a moderately-severe clip-compression injury. I quantified proliferating endothelial
cells (RECA-1/Ki67) to assess endogenous angiogenesis. Results showed angiogenesis
occurring as early as 3 days following injury and ending by 7 days, with maximal angiogenesis
occurring at 5 days post-SCI (Figure 22) (p < 0.001). At the peak of angiogenesis (5 days post-
SCI), I noted that 1 mm distal to the epicenter showed the most proliferating endothelial cells,
with approximately 15% of vessels marked as Ki67-positive (p < 0.001).
117
Figure 22. Endogenous angiogenic response after traumatic thoracic SCI. A)
Representative Ki67/RECA-1 double-label imaging. Image taken at 1000 μm caudal from an
animal sacrificed at 5 days post-SCI. B) Spatial and temporal quantification of the angiogenic
response following SCI. Uninjured spinal cord tissue showed relatively low basal levels of
endothelial cell proliferation (1%) compared to days 3, 5, and 7 following injury (6-15%).
Maximal proliferation was observed at 5 days post-SCI, which angiogenesis occurring most
notably around 1000 μm distal to the injury site. The epicenter did exhibit some vascular
proliferation; however, due to a diminished number of vessels present, the ratio of regenerating
118
endothelial cells was notably less than more distal areas. Scale bar = 100 μm. n= 4-5
animals/time point (see Table 5). * p < 0.001.
3.8 Discussion
In the present study, I aimed to identify some of the major vascular alterations that occur
following spinal cord injury. I examined the temporal and spatial loss of vasculature, as well as
the perfusion of the vasculature and the vascular permeability. I observed that the BSCB is
significantly disrupted early on, but appears to partially recover by 14 days post-SCI.
Additionally, I noted that significant vascular loss and function occurs, and grey matter vessels in
particular are more affected and less likely to recover following SCI. This is consistent with
previous research done using a clip-compression model [356, 357]. Lastly, I showed that an
endogenous angiogenic response does occur in the spinal cord following clip-compression
injury, and consistent with other reports, I observe maximal angiogenesis between 3 and 7 days
post-injury [89].
This study shows that the BSCB is disrupted as early on as 1 hour post-injury, and remains open
until 5 days post-injury, with maximum permeability observed at 24 hours post-SCI (Figure 18).
Therefore, it appears that there is a relatively large time-window to exploit on the disruption of
the BSCB. In a model of clip-compression injury, therapies administered between 1 hour and 5
days (and most notably at 24 hours post-injury), may have an added advantage in reaching their
CNS targets; potentially making them more effective compared to an administration time where
an intact BSCB exists.
119
The time-course of BSCB dysfunction from a clip-compression model of SCI (as shown by my
research) coincide with previous reports by Noble and Wrathall, and Popovich et al., which used
weight-drop or transection models of SCI [66, 97, 352, 353]. In this study, I used Evans Blue as
a marker for spinal cord vascular permeability, which has benefits and disadvantages for
assessing BSCB disruption. Evans Blue is a convenient, simple dye to administer and quantify;
however, it binds to serum albumin making it a 70 kDa protein, which is considered a large
molecule [335, 336]. The previous studies have used horseradish peroxidase (HRP), which is
approximately 45 kDa, or α-aminoisobutyric acid (AIB), which is only 0.1 kDa. In comparison,
Evans Blue assays may be less sensitive to detecting minor disruptions to the BSCB, as it is too
large to leak out. Therefore, it may be beneficial to repeat this study using a smaller vascular
tracer to improve the detection of vascular permeability. With that said, Noble and Wrathall
used HRP as an in vivo marker, and showed restoration of the BSCB by 14 days post-SCI [97].
An additional caveat of using in vivo tracers to detect BSCB disruption is the inherent issue of
reduced or obstructed blood flow following injury. By using a circulating vascular marker,
results may be under-represented since the tracer may be physically restricted from reaching
certain vascular networks (by blood clots and/or broken/severed vessels). In future studies,
histological examination of BSCB proteins and structure may be a complimentary approach in
assessing vascular permeability.
BSCB disruption following injury is a double-edged sword. On one hand, an increase in
vascular permeability creates an ideal opportunity for the influx of inflammatory mediators and
proteins not usually permitted in the CNS. Conversely, a compromised BSCB provides a unique
opportunity for therapeutic intervention, as getting drugs/molecules/etc. into the highly regulated
CNS normally presents a substantial challenge. In the model of clip-compression SCI, I observe
120
the BSCB remains significantly disrupted for up to 5 days following injury, which is a clinically
relevant therapeutic window for administering treatments.
Grey matter vessels are typically smaller vessels or capillaries, therefore it is not surprising that
they (being the most distal structures) would be more affected. However, diminished grey matter
perfusion results in hypoxia-ischemia to neuronal cell bodies, and if a decreased blood flow
persists, neurons will undergo cell death. From a therapeutic and regenerative medicine
prospective, it is therefore critical to re-vasularize the grey matter of the cord following trauma.
More importantly, it appears that the extent of the vascular damage is restricted to a relatively
small area (spanning a total of 2 mm rostral and caudal), therefore effective vascular therapies
that are administered locally are likely to provide adequate repair.
In the present study, I investigated the perfusion of the vasculature using an in vivo FITC-LEA
dye. I believed that distinguishing “functional” vessels from other vessels was an important area
of research, especially since it has not been specifically addressed in previous characterizations
of vascular damage post-SCI. In comparing FITC-LEA and RECA-1 counts, I noted a decreased
number of FITC-LEA vessels, suggesting a reduced number of vessels connected to the blood
stream. Although this may not be a surprising result, it is nevertheless, an important finding. In
many studies (including the ones in Chapter 4 of this thesis), vessels and vascular regeneration
are often quantified by histological analysis. Histological assessment (i.e. RECA-1) quantifies
all vascular structure without distinguishing if the vessel had an active perfusion state. FITC-
LEA marks the luminal surface of endothelial cells, which have a hemodynamic state. With this,
it is important to note that FITC-LEA may misrepresent the number of “functional” vessels, as
some newly formed vessels (depending on lumen size) may be plasma-perfused without
121
supporting cellular perfusion, and therefore are not truly acting as “functional” vessels. While
this technique provides some useful information, based on the results of this study we
recommend that future research be cautious when interpreting the results since the values may be
over-estimated.
Considering the extent of research dedicated to promoting vascular regeneration over the past
decade, it was interesting to note that very few studies had focused on characterizing the
vasculature of the injury itself, and no studies have been completed using the clip-compression
model. In order to investigate the effectiveness of vascular therapies, it seems logical that I first
understand the endogenous events, which could be used as a baseline for subsequent outcomes.
With that, I believe that this research significantly contributes to the field of vascular
regeneration following spinal cord injury, and will aid in designing and administering more
effective vascular therapies for neurotrauma.
3.9 Conclusions
As observed by Evans Blue, the BSCB exhibits FITC-LEA identified functional vasculature was
reduced by 24 hours up to 14 days after injury. Similarly, RECA-1 immunohistochemistry
showed a significant decrease in the number of vessels observed at 2 and 4 mm from the lesion
epicenter at 24 hours post-injury compared to uninjured animals (p < 0.01), with endogenous re-
vascularization showing a slight increase in vessel counts by 10 days post-injury. Separation of
the white matter and grey matter quantification showed that grey matter vessels are more
susceptible to SCI, compared to white matter vasculature, suggesting that vascular therapies
122
should strive to target smaller, deeper vascular repair within the spinal cord. Finally, I observed
endogenous angiogenesis following SCI. The angiogenic response spanned between 3 and 7
days post-injury, although maximal endothelial cell proliferation was observed at day 5. These
data, consistent with other research in the field, suggests that angiogenic therapies should be
administered before 5 days post-injury to complement and enhance endogenous
revascularization.
123
Chapter 4
4 Delayed AdV-ZFP-VEGF Administration Provides Neuroprotection and Promotes Angiogenesis Post-SCI
4.1 Abstract
Following spinal cord injury (SCI) there are drastic changes that occur in the spinal
microvasculature, including ischemia, hemorrhage, endothelial cell death and blood-spinal cord
barrier disruption. Vascular endothelial growth factor-A (VEGF-A) is a pleiotropic factor
recognized for its pro-angiogenic properties; however, VEGF has recently been shown to
provide neuroprotection. It was hypothesized that delivery of AdV-ZFP-VEGF – an adenovirus
that generates a bio-engineered zinc-finger transcription factor that promotes endogenous VEGF-
A expression – would result in angiogenesis, neuroprotection and functional recovery following
SCI. This novel VEGF gene therapy induces the endogenous production of multiple VEGF-A
isoforms; a critical factor for proper vascular development and repair. Briefly, female Wistar
rats – under cyclosporin-A immunosuppression – received a 35g clip-compression injury and
were administered AdV-ZFP-VEGF or AdV-eGFP at 24 hours post-SCI. Tissues were extracted
at 3, 5 or 10 days post-SCI. qRT-PCR and Western Blot analysis of VEGF-A mRNA and
protein, showed significant increases in VEGF-A expression in AdV-ZFP-VEGF treated animals
(p<0.02). Analysis of NF200, TUNEL, RECA-1 and Ki67 indicated that AdV-ZFP-VEGF
increased axonal preservation (p<0.05), reduced cell death (p<0.01), increased blood vessels
(p<0.01), and increased angiogenesis (p<0.001) respectively. Overall, the results of this study
124
indicate that AdV-ZFP-VEGF administration can be delivered in a clinically relevant time-
window following SCI (24 hours) and provide significant molecular and functional benefits.
4.2 Introduction
In North America, it is estimated that approximately 1.5 million individuals are currently living
with SCI, with over 12,000 new cases occurring each year [2]. Spinal cord injury is divided into
two events, to separate the physical and the cellular pathologies. The primary injury, is
associated with the initial mechanical trauma that the cord undergoes, whereas the secondary
injury refers to the physiological cascade that propagates from 1 minute to 6 months following
the initial injury [3]. Although the primary injury is responsible for triggering all of the
downstream events, it is widely accepted that the processes that take place in the “secondary
injury” phase are predominantly responsible for a significant portion of the damage and
degeneration that is associated with SCI, including inflammation, ischemia, lipid peroxidation,
production of free radicals, disruption of ion channels, necrosis and programmed cell death [5,
56, 57]. Moreover, radical alterations to the spinal microvascular architecture and function occur
following SCI and contribute to the secondary injury. Reduction in blood flow, hemorrhage,
systemic hypotension, loss of microcirculation, disruption of the blood-spinal cord barrier
(BSCB) and loss of structural organization, ultimately enhance the cellular damage post-injury
[3, 58]. Despite the fact that these secondary events are responsible for the majority of the
damage associated with SCI, many of these pathways alternatively provide an opportunity to
target with therapeutic interventions.
125
Recently, research has given much attention to therapies designed at repairing or minimizing
vascular damage following injury. Angiogenic factors, such as vascular endothelial growth
factor (VEGF)-A, are known to promote the proliferation of endothelial cells and initiate
angiogenesis [241]. Emerging evidence suggests that VEGF-A (which will be referred to as
VEGF) also has neurotrophic, neuroprotective, and neuroproliferative effects [240]. VEGF is a
homodimeric glycoprotein that is expressed as multiple splice variants encoded by a single gene;
however, VEGF signals as a homo- or heterodimer via VEGF receptors (VEGFRs) [244]. The
predominant isoforms in the central nervous system are VEGF121, VEGF165 and VEGF189.
Studies have demonstrated that VEGF and its receptors are upregulated during and after
hypoxic/ischemic injury to the brain and spinal cord, which suggests that VEGF likely plays a
neuroprotective (or beneficial) role in these pathophysiological processes.
Previously described approaches using VEGF have relied on the introduction of a single splice
isoform of VEGF-A (VEGF165), which may not result in optimal neuroprotective or angiogenic
effects. In this study, I utilized novel ZFP-VEGF technology – a viral vector encoding a zinc-
finger transcription factor protein (ZFP), which activates endogenous VEGF-A expression to
produce multiple splice isoforms of VEGF – which has previously demonstrated induced
expression of VEGF-A protein, increase vascular counts and significant functional recovery
following SCI [212]. Although our research group has already shown beneficial effects of AdV-
ZFP-VEGF when administered immediately following SCI as a proof-of-concept, the current
study aims to investigate a clinically-relevant administration of AdV-ZFP-VEGF by delaying
administration by 24 hours post-SCI.
126
4.3 Objective
Examine the acute and cellular therapeutic effects of delayed AdV-ZFP-VEGF administration
following spinal cord injury.
4.4 Hypothesis
It was hypothesized that ZFP-VEGF gene therapy will enhance molecular recovery following
spinal cord injury through neuroprotective and angiogenic mechanisms.
4.5 Specific Aims
1. Confirm in vivo transduction of AdV-eGFP into the spinal cord.
2. Examine the specific cell types transduced by AdV-eGFP.
3. Assess the acute neuroprotective effects of AdV-ZFP-VEGF following SCI.
4. Investigate the in vivo vascular and angiogenic effects of AdV-ZFP-VEGF administration
post-SCI.
127
4.6 Methods
All animal experiments were conducted with approval from the Animal Care Committee,
University Health Network (Toronto, Canada).
Viral Vector Constructs
The VEGF-A-activating ZFP and controls were provided in viral vectors by Sangamo
BioSciences (Pt. Richmond, CA) and have been previously described [321, 334]. The VEGF-A-
activating ZFP (32E-p65) – referred to as AdV-ZFP-VEGF – is a 378 amino acid multi-domain
protein that is composed of three functional regions (Figure 15): (1) the nuclear localization
signal (NLS) of the large T-antigen of SV40, (2) a designed 3-finger zinc-fingered protein (32E)
that binds to a 9 base-pair target DNA sequence (GGGGGTGAC) present in the human VEGF-A
promoter region and (3) the transactivation domain from the p65 subunit of human NFκB, which
is identical to VZ+434, subcloned into pVAX1 (Invitrogen, San Diego, CA) with expression
driven by the human cytomegalovirus (CMV) promoter. Adenoviral (Ad5-32Ep65 or Ad5-
eGFP) vectors, referred to as AdV-ZFP-VEGF and AdV-eGFP, respectively, were packaged by
transfecting T-REx-293 cells (Invitrogen, San Diego, CA). T-REx-293 cells in ten-stack cell
factories were inoculated with Ad vectors at a multiplicity of infection (MOI) of 50 to 100
particles per cell. When adenoviral mediated cytopathy effect (CPE) was observed, cells were
harvested and lysed by three cycles of freezing and thawing. Crude lysates were clarified by
centrifugation, and 293 cells were seeded at 4x107 PFU and grown 3 days prior to transfection.
The calcium phosphate method was used for transfection. Infectious titers of the Ad vectors were
quantified using the Adeno-X Rapid Titer kit (Clontech, Mountain View, CA).
128
SCI and Intraspinal Microinjection
Animals were subject to a compressive spinal cord injury using a modified aneurysm clip, which
has been extensively characterized by the Fehlings’ laboratory and previously described [358].
Briefly, adult female Wistar rats (250-300g; Charles River, Montreal, Canada) were deeply
anesthetized using 4% isoflurane, and were sedated for the remainder of the surgery under 2%
isoflurane. Animals received a two-level laminectomy of mid-thoracic vertebral segments T6-
T7. A modified clip calibrated to a closing force of 35g was applied extradurally to the cord for 1
minute and then removed (Figure 14). The animals were divided into four groups in a
randomized and “blinded” manner, (1) Sham control group (laminectomy only – no SCI), (2)
Non-injected injured control group (laminectomy and SCI – no injection), (3) AdV -ZFP-VEGF
treatment group, and (4) AdV-eGFP control group. Using a stereotaxic frame and glass capillary
needle (tip diameter 60 µm) connected to a Hamilton microsyringe, a total of 5x108 viral plaque
forming units (PFU) were injected into the dorsal spinal cord 24 hours post-SCI. Four 2.5 μl (10
μl total) intraspinal injections were made bilaterally at 2mm rostral and caudal of the injury site
(Figure 14). Injections were 1mm lateral from the midline and 1mm deep into the spinal cord.
The injection rate is 0.60 µl/min and when the injection was completed, the capillary needle was
left in the cord for at least 1 min to allow diffusion of the virus from the injection site and to
prevent back-flow. The incision was closed in layers using standard silk sutures and animals
were given a single dose of buprenorphine (0.05 mg/kg). Animals were allowed to recover in
their cage under a heat-lamp and, subsequently, were housed in a temperature-controlled warm
room (26°C) with free access to food and water. Animals were given buprenorphine (0.05
mg/kg) every 12 hours for 48 hours following surgery, and their bladders were manually voided
three times daily. A subcutaneous injection of 10mg/kg of cyclosporin-A was administered daily
starting 24 hours prior to the SCI until the end of the experiments for immunosuppression. A
129
subcutaneous injection of 10mg/kg of cyclosporin-A was administered daily starting 24 hours
prior to the SCI until the end of the experiments for immunosuppression. The number of animals
used in each experiment is outlined in Table 7. Final animal numbers in each group are slightly
varied due to unexpected mortalities during the experiments.
Western Blotting
Following deep inhalational anesthetic (isoflurane), animals were sacrificed at five or ten days
post-SCI and a 5 mm length of the spinal cord centered at the injury site was extracted. Samples
were mechanically homogenized in 400 μl of homogenization buffer (0.1M Tris, 0.5M EDTA,
0.1% SDS, 1M DTT solution, 100mM PMSF, 1.7mg/ml aprotinin, 1mM pepstatin, 10mM
leupeptin) and centrifuged at 15,000 rpm for 10 minutes at 4 °C. Supernatants were extracted
and used for western blot analysis, where 20 μg of protein was loaded into 7.5% or 12%
polyacrylamide gels (Bio-Rad, Mississauga, Canada). Membranes were probed with either
monoclonal anti-NF200 antibody (1:2000; Sigma, Oakville, Canada), rabbit IgG anti-VEGF-A
antibody (1:100; Santa Cruz Biotechnology, Santa Cruz, CA), or rabbit IgG anti-NFκBp65
(1:1000; Santa Cruz Biotechnology, Santa Cruz, CA). NFκBp65 rabbit polyclonal antibody was
used to recognize the p65 activation domain in the ZFP-VEGF treated animals. Primary
antibodies were labelled with horseradish peroxidase-conjugated secondary antibodies (goat anti-
mouse/rabbit IgG, 1:3000; Jackson Immuno Research Laboratories, West Grove, PA), and bands
were imaged using an enhanced chemiluminescence (ECL) detection system (Perkin Elmer,
Woodbridge, Canada). Mouse monoclonal, beta-actin (Chemicon International, Inc., Temecula,
CA) was immunoblotted as a loading control. Quality One detection software (Bio-Rad
Laboratories, Hercules, CA) was used for integrated optical density (OD) analysis.
130
Histochemistry
Histological Processing. Five or ten days post-SCI, following deep inhalational anesthetic
(isoflurane), animals were transcardially perfused with 4% paraformaldehyde (PFA) in 0.1 M
PBS. Then, the tissues were cryoprotected in 20% sucrose in PBS. A 10 mm length of the spinal
cord centered at the injury site was fixed in tissue-embedding medium. The tissue segment was
snap frozen on dry ice and sectioned on a cryostat at a thickness of 14 μm. Serial spinal cord
sections at 500 μm intervals were stained with myelin-selective pigment luxol fast blue (LFB)
and the cellular stain hematoxylin-eosin (HE) to identify the injury epicenter. Tissue sections
showing the largest cystic cavity and greatest demyelination were taken to represent the injury
epicenter.
Immunohistochemistry. The following primary antibodies were used: mouse anti-NeuN (1:500;
Chemicon International, Inc., Temecula, CA) for neurons, mouse anti-GFAP (1:500; Chemicon
International, Inc., Temecula, CA) for astrocytes, mouse anti-APC (CC1, 1:100; Calbiochem,
San Diego, CA) for oligodendrocytes, and mouse anti-RECA-1 (1:25; Serotec Inc., Raleigh, NC)
for endothelial cells. The sections were rinsed three times in PBS after primary antibody
incubation and incubated with either fluorescent Alexa 568, 647 or 488 goat anti-mouse/rabbit
secondary antibody (1:400; Invitrogen, Burlington, Canada) for 1 hour. The sections were rinsed
three times with PBS and cover slipped with Mowiol mounting medium containing DAPI
(Vector Laboratories, Inc., Burlingame, CA) to counterstain the nuclei. The images were taken
using a Zeiss 510 laser confocal microscope.
Quantification of Blood Vessels. Tissue sections – taken from animals sacrificed 10 days post-
SCI – were used for immunofluorescence studies with a monoclonal antibody specific for
RECA-1 (Rat Endothelial Cell Antibody). As shown in Figure 16, the counting of vessels was
131
performed on 4 selected fields (ventral horn, dorsal horn, left and right lateral columns) in each
section under 25X magnification (0.14 mm2). The number of RECA-1-positive vessels was
calculated at 2 mm and 4 mm, both rostral and caudal from the epicenter, for each animal.
Quantification of Angiogenesis. Tissue sections – taken from animals sacrificed 5 days post-SCI
– were used to quantify angiogenesis following SCI and AdV-ZFP-VEGF administration.
Angiogenesis was calculated as vessels co-labelled with RECA-1 and Ki67 (cellular
proliferation). As shown in Figure 16, the counting of angiogenesis was performed on 4 selected
fields (ventral horn, dorsal horn, left and right lateral columns) in each section under 25X
magnification (0.14 mm2). The number of angiogenic vessels was calculated at 1, 2 and 3 mm,
both rostral and caudal from the epicenter, for each animal. Rostral and caudal values were
pooled for each distance.
Quantification of Apoptosis. An in situ terminal-deoxy-transferase mediated dUTP nick end-
labeling (TUNEL) apoptosis kit (Chemicon International, Inc., Temecula, CA) was used to label
apoptotic cells in tissues extracted from animals 5 days post-SCI. TUNEL staining was
completed as described in the manufacturer’s instructions. The numbers of TUNEL positive
nuclei were counted at the epicenter, as well as at 1, 2 and 3 mm (rostral and caudal) from the
injury epicenter. In each tissue section, the whole section was counted to include all apoptotic
nuclei visible.
Quantification of Neurons. Tissue sections – taken from animals sacrificed 5 days post-SCI –
were used for immunofluorescence studies with a monoclonal antibody specific for NeuN
(Neuronal Nuclei). Neuron quantification was conducted only in the grey matter under 25X
magnification (0.14 mm2), and all cells were counted. The number of NeuN-positive cells was
132
calculated at 1, 2 and 3 mm, both rostral and caudal from the epicenter, as well as at the
epicenter.
Statistical Analysis
Data were analyzed with SigmaPlot software (Systat Software Inc., San Jose, California, USA).
For data that investigated the percentage of cells, the data were subjected to an arcsine
transformation prior to statistical analysis to attain a more normal distribution. For comparison
of groups sampled at various distances from the injury site I used two-way analysis of variance
(ANOVA) with repeated measures, followed by the post-hoc Holm-Sidak test. In all figures, the
mean value ± SEM are used to describe the results. Statistical significance was accepted for p
values of <0.05.
133
Table 7. Animals used in Chapter 4 experiments.
Experiment Group Original Animal
# Final Animal
#
AdV Transduction All groups 5 5 (Figure 23)
NFkBp65 protein AdV-ZFP-VEGF 3 3
(Figure 24) AdV-eGFP 3 3
VEGF mRNA Sham 4 4 (Figure 25A) Injured Control 5 4
AdV-eGFP 5 5
AdV-ZFP-VEGF 5 5
VEGF protein Sham 4 4 (Figure 25B and 25C) Injured Control 5 4
AdV-eGFP 5 4
AdV-ZFP-VEGF 5 5
TUNEL, RECA-1, Ki67/RECA-1 Sham 4 4 (Figure 26, Figure 29, Figure 30) Injured Control 5 4
AdV-eGFP 5 5
AdV-ZFP-VEGF 5 5
NF200 protein Sham 5 5 (Figure 27) Injured Control 5 4
AdV-eGFP 5 4
AdV-ZFP-VEGF 5 4
NeuN Counts Sham 5 5 (Figure 28) Injured Control 5 4
AdV-eGFP 5 5
AdV-ZFP-VEGF 5 5
134
4.7 Results
4.7.1 AdV-ZFP-VEGF Delivery into the Injured Spinal Cord
To evaluate the transduction efficiency of the adenoviral constructs in vivo, AdV-eGFP was
injected into animals at 24 hours post-SCI. The AdV-eGFP fluorescent signal was detected in
both the white and grey matter of the injured spinal cord five days after SCI (Figure 23). Figures
24B and 24C demonstrate eGFP expression in neurons, astrocytes, endothelial cells and
oligodendrocytes, indicating successful adenoviral transduction into each cell type. Further
quantification of co-labelled cells showed that AdV vector non-preferentially transduces all cell
types (Neurons – 30.0% ± 3.6%, Oligodendrocytes – 26.9% ± 4.2%, Astrocytes – 21.4% ± 2.9%,
Endothelial cells – 17.2% ± 3.3%). Since the AdV-ZFP-VEGF construct contains the p65
subunit of the human NFκB transcription factor as the activation domain [321], I was able to
confirm delivery of AdV-ZFP-VEGF by immunoblotting using an NFκB p65 antibody to detect
the presence of the transcription factor (Figure 24). As a positive control, HEK293 cells were
transduced with ZFP-VEGF and cell lysates were processed for immunoblotting using the same
NFκB p65 antibody (data not shown). These results demonstrate the successful delivery of a
localized gene therapy to the injured spinal cord.
135
Figure 23. Transduction of AdV-eGFP into the spinal cord. A) Photomicrographs showing a
transverse section of rat spinal cord obtained adjacent to the injury site 10 days after spinal cord
injury and AdV-eGFP injection. eGFP signal was detected in both the gray matter and white
matter. B) High-power (63X) confocal images show that the AdV-eGFP vector transfected
neurons (NeuN), astrocytes (GFAP), oligodendrocytes (CC1) and endothelial cells (RECA-1).
Neurons, astrocytes, and endothelial cells are taken from the grey matter, and oligodendrocytes
are taken from the white matter. C) Bar graph displays quantification of transduced cell types ±
SEM, as identified by the cell-specific markers NeuN, GFAP, RECA-1 and CC1. Scale bar:
1000 μm for A; 100 μm for B. n=5 animals/antibody (see Table 7).
Figure 24. Evaluation of AdV-ZFP-VEGF gene transfer. Western blot showed that the
NFκB p65 rabbit polyclonal antibody recognizes the p65 activation domain in the AdV-ZFP-
VEGF treated animals. The higher molecular weight bands are endogenous NFκBp65 fragments,
which are also recognized by the antibody; however, these bands are present in both the control
and treatment groups. The lower band (arrow) corresponds to the AdV-ZFP-VEGF and was only
present in the treated animals. Lower panel shows actin expression as a protein control. n=3
animals/group (see Table 7).
137
4.7.2 VEGF mRNA and protein expression is increased following 24 hour delayed AdV-ZFP-VEGF administration
Animals were sacrificed 5 days post-SCI and mRNA expression levels of three predominant
VEGF isoforms found in the CNS – VEGF120, VEGF164 and VEGF188 – were measured by
quantitative real-time PCR (qRT-PCR). Figure 25A shows that 24 hour delayed administration
of AdV-ZFP-VEGF resulted in significant increases in VEGF mRNA of isoforms 120 (p <
0.001), 164 (p < 0.001), but not isoform 188, when compared with AdV-eGFP control animals
and injured control animals. VEGF-A protein expression was assessed at 10 days following SCI
by Western blot using anti-VEGF antibodies, which detect the 42kDa and 21kDa bands and are
recommended for the detection of the 189, 165 and 121 amino acid splice variants of VEGF. In
Figures 25B and 25C, I show that the 42 kDa VEGF-dimer protein was significantly increased
by approximately 2.5-fold in AdV-ZFP-VEGF treated animals versus AdV-eGFP and injured
control groups (p < 0.02). VEGF protein was increased by approximately 1.8-fold in AdV-ZFP-
VEGF treated animals compared to sham animals (p < 0.05). Previous studies using AdV-ZFP-
VEGF have shown increases in VEGF mRNA and protein levels [212, 316, 318, 319].
Consistent with these studies, my results confirm that AdV-ZFP-VEGF increases both mRNA
and protein levels of VEGF in the spinal cord following 24 hour delayed administration.
138
Figure 25. AdV-ZFP-VEGF increases VEGF mRNA and protein. A) VEGF mRNA levels
encoding for VEGF120, VEGF164 and VEGF188 isoforms were measured by quantitative real-time
PCR at 5 days post-SCI. The bar graph illustrates that administration of ZFP-VEGF resulted in
an increase of VEGF mRNA compared with AdV-eGFP and SCI injured control groups.
Relative mRNA levels are expressed as the mean ± SEM, n = 4/ sham and injured control
groups, n = 5/ AdV-eGFP and AdV-ZFP-VEGF groups (see Table 7). One-way ANOVA
(Holm-Sidak) was completed individually for each isoform **p < 0.001, *p < 0.01. B) Western
blot showing administration of AdV-ZFP-VEGF resulted in increased VEGF-A protein levels at
10 days post-SCI, and C) Quantification shows a significant increase in VEGF-A 42 kD protein
in AdV-ZFP-VEGF treated animals compared with control groups. Optical density (OD) of
VEGF-A was normalized to actin. Data are presented as mean ± SEM, n = 4/sham, injured
control and AdV-eGFP treated groups and n = 5/AdV-ZFP-VEGF treated group (see Table 7).
One-way ANOVA (Holm-Sidak) **p < 0.02, *p < 0.05.
4.7.3 Apoptosis is reduced in animals treated with AdV-ZFP-VEGF 24 hours post-SCI
The Fehlings’ laboratory has previously shown that apoptotic cell death occurs as early as 6
hours following SCI and persists until 14 days post injury [73]. To assess the effects of AdV-
ZFP-VEGF treatment on apoptotic cell death, in situ terminal-deoxy-transferase mediated dUTP
nick end-labeling (TUNEL) staining was performed 5 days after injury (Figure 26). TUNEL-
positive cells were found evenly distributed through the gray and white matter in the injured
spinal cord, with the greatest apoptosis observed near the injury epicenter. TUNEL-stained
nuclei were counted at the injury epicenter, and at 1, 2, and 3 mm from the injury epicenter both
140
rostral and caudal to the lesion site, but rostral and caudal values were pooled. Figure 26B
shows that AdV-ZFP-VEGF treatment was associated with a significant reduction in the number
of TUNEL-positive cells rostral and caudal from the injury epicenter (p < 0.01).
141
Figure 26. AdV-ZFP-VEGF administration reduces apoptosis after SCI. A) Representative
sections taken 2 mm rostral to the epicenter from animals sacrificed at 5 days post-SCI and tissue
processed with TUNEL staining; scale 200 μm. An overall reduction of TUNEL-positive cells
was observed in the AdV-ZFP-VEGF treated group. B) Bar graph shows quantification of the
TUNEL-positive cell counts at 5 days after SCI (pooled values from rostral and caudal counts).
There was a significant decrease in TUNEL-positive cells in the AdV-ZFP-VEGF treatment
group versus control injured groups. Values are mean ± SEM, n = 4/ sham and injured control
groups, n = 5/ AdV-eGFP and AdV-ZFP-VEGF groups (see Table 7). Two-way ANOVA
(Holm-Sidak), * p < 0.01.
4.7.4 24 hour delayed AdV-ZFP-VEGF administration provides neuroprotection
Neurofilament protein (NF200), a hallmark protein lost following neurodegeneration, was
quantified in the injured region of the cord to assess the neuroprotective effects of AdV-ZFP-
VEGF after SCI. Previous research from Dr. Fehlings’ group demonstrated a significant loss of
NF200 after SCI [75, 108]. As shown in Figure 27, the amount of NF200 protein was
significantly increased by approximately 2-fold at 10 days following SCI in animals treated with
AdV-ZFP-VEGF versus control animals (p < 0.05).
143
Figure 27. AdV-ZFP-VEGF administration attenuated axonal degradation. A) Western
blot indicates that administration of AdV-ZFP-VEGF resulted in a significant attenuation of
NF200 degradation 10 days after injury. Lower panel shows actin protein control. B) Relative
OD value of controls versus AdV-ZFP-VEGF treated animals. Significant NF200 sparing was
observed in AdV-ZFP-VEGF-treated animals compared to control groups at 10 days after injury,
although all injured groups showed significant NF200 loss following SCI. Optical density of
NF200 was normalized to actin. Bar graph shows mean OD values ± SEM; n = 5/sham, n =
144
4/Injured Control, AdV-eGFP and AdV-ZFP-VEGF groups (see Table 7). One-way ANOVA
(Holm-Sidak), * p < 0.05.
To further assess the neuroprotective effects of AdV-ZFP-VEGF following SCI, I quantified
spared neurons 5 days after injury. NeuN, which recognizes neuronal cell bodies, was used to
identify neurons in cross-sections of spinal cord tissue. Figure 28B demonstrates that AdV-ZFP-
VEGF treatment results in a significant sparing of neurons both rostral and caudal to the injury
epicenter, when compared to injured control (p < 0.05) and AdV-eGFP (p < 0.001) animals.
145
Figure 28. AdV-ZFP-VEGF administration results in increased neuron sparing post-SCI.
A) Representative sections taken 2 mm rostral to the epicenter from AdV-ZFP-VEGF treated and
AdV-eGFP treated animals immunostained with NeuN at 5 days after SCI; scale 200 μm. A
greater number of NeuN-positive cells was observed in animals treated with AdV-ZFP-VEGF.
B) Bar graph shows quantification of the NeuN-positive cell counts at 5 days after SCI. There
was an overall significant preservation of neurons in AdV-ZFP-VEGF treated animals, when
quantified by a Two-way ANOVA (treatment and distance from injury). Values are mean ±
SEM, n = 4/ injured control group, n = 5/ sham, AdV-eGFP and AdV-ZFP-VEGF groups (see
Table 7). Two-way ANOVA (Holm-Sidak), * p < 0.02.
4.7.5 24 hour delayed AdV-ZFP-VEGF administration results in an increased number of vessels
In order to quantify the vascular response to ZFP-VEGF, I conducted immunostaining with
RECA-1, a monoclonal antibody specific for endothelial cells, at 10 days following SCI. The
severity of the compression injury resulted in considerable disruption to the spinal cord
vasculature at the injury epicentre, thus I was unable to quantify the epicenter accurately.
Therefore, I assessed spinal cord tissue sections at 2 mm and 4 mm – both caudal and rostral –
from the lesion epicenter (Figure 30A). Figures 29B and 29C show that AdV-ZFP-VEGF
administration markedly increases the number of RECA-1-positive vessels both rostral and
caudal, when compared to control animals (p < 0.01). These results are consistent with previous
findings from the Fehlings’ laboratory in studies administering AdV-ZFP-VEGF immediately
following injury [212].
147
Figure 29. AdV-ZFP-VEGF results in increased vessel counts. A) Illustration of the area of
spinal cord areas used for RECA-1 counting (2 grey matter areas, 2 white matter areas). B)
Representative sections taken 2 mm rostral to the epicenter from a AdV-ZFP-VEGF treated and
AdV-eGFP control animal respectively immunostained with RECA-1 at 10 days after SCI; scale
100 μm. An increased number of vessels were observed in the AdV-ZFP-VEGF treated group.
C) Bar graph illustrating the RECA-1 positive cell counts 10 days after SCI. AdV-ZFP-VEGF
administration resulted in a significant increase in vascular counts (2 mm and 4 mm away from
the epicenter) as compared with the control group. Data are presented as mean ± SEM, n = 4/
sham and injured control groups, n = 5/ AdV-eGFP and AdV-ZFP-VEGF groups (see Table 7).
Two-way ANOVA (Holm-Sidak) * p < 0.01.
4.7.6 AdV-ZFP-VEGF promotes angiogenesis
To investigate some of the potential mechanisms of AdV-ZFP-VEGF action, I examined the
effects of 24 hour delayed AdV-ZFP-VEGF administration on endothelial cell proliferation. One
of the most characterized roles of VEGF is promoting angiogenesis in both embryonic
development and wound healing [235], therefore I aimed to study if AdV-ZFP-VEGF
administration would further promote angiogenesis. Tissues co-labeled with RECA-1 and Ki67
at 5 days following SCI indicated that AdV-ZFP-VEGF administration increased angiogenesis
by approximately 10% (p <0.001) (Figure 30). These results indicate that AdV-ZFP-VEGF
administration, which results in an increase in VEGF expression, ultimately promotes angiogenic
pathways following SCI. Other research has suggested that VEGF administration results in
angiogenesis; however, these studies simply show an increase in the number of vessels present.
Here, I demonstrate that VEGF increases endothelial cell proliferation in vivo following SCI, and
149
to my knowledge, this is the first study to show that an increase in vessels (as previously shown
in Figure 29) may be attributable to angiogenesis.
150
Figure 30. AdV-ZFP-VEGF promotes angiogenesis at 5 days post-SCI. A) Representative
image from an ADV-ZFP-VEGF treated animal at 5 days post-injury. Image was taken at 25X
at 2 mm from the epicenter. Scale bar = 100 µm. B) Angiogenesis was assessed by quantifying
Ki67/RECA-1 co-labeled vessels. Data are presented at the percentage of RECA-1+ vessels that
were also Ki67+, with an overall average increase of 10% vascular proliferation observed in the
animals receiving AdV-ZFP-VEGF administration. n = 4/sham and injured control groups, n =
5/AdV-eGFP and AdV-ZFP-VEGF groups (see Table 7). Data were analyzed by performing an
arcsine transformation of the values, and conducting a two-way ANOVA with Holm-Sidak post-
hoc testing. ** p < 0.001.
4.8 Discussion
In the current research, I chose to investigate the efficacy of 24 hour delayed AdV-ZFP-VEGF
administration, which presents a clinically relevant therapeutic window. This form of gene
therapy mimics physiological VEGF production, which should result in the production of all
VEGF isoforms in the injured spinal cord, a necessary component for proper and functional
angiogenesis. Here I observe that 24 hour delayed administration of AdV-ZFP-VEGF results
increased VEGF mRNA and protein levels, an increased number of vessels, enhanced vascular
proliferation (as observed by RECA-1/Ki67 staining) and improved neuroprotection – as
observed by increased NeuN counts and spared NF200.
In previous research that has used VEGF following SCI, authors have observed varying results.
Choi et al. used a hypoxia-inducible VEGF-A expression system to treat rats with SCI and
observed neuroprotective effects and enhanced VEGF-A expression [359]. Another group used
151
an adenovirus coding for VEGF165, delivered via matrigel, in a partial spinal cord transection
model. They observed a significant increase in vessel volume and a reduction in the retrograde
degeneration of corticospinal tract axons [360]. However, Benton et al. [354] reported an
exacerbation of lesion size and increased inflammation after the delivery of 2 μg of recombinant
VEGF165 directly into the contused spinal cord 3 days post SCI. This study highlights several
factors which are likely to be critical in the successful application of VEGF-A as a therapy for
SCI. The method of VEGF delivery is likely a critical factor. In this study, I injected the ZFP-
VEGF adjacent to the injury epicenter as the peri-lesional ischemic penumbra is likely the zone,
which would benefit the most from approaches to enhance angiogenesis. Moreover, the delivery
technique, using a ZFP-VEGF gene therapy, has the ability to upregulate several isoforms of
VEGF-A, mimicking endogenous expression. In contrast, most other research has focused on
the delivery of a single VEGF isoforms.
Previously, our lab has shown that immediate administration of AdV-ZFP-VEGF following SCI
resulted in neuroprotection, increased vascular counts and improved functional recovery [212].
These promising results encouraged us to investigate a more feasible time-window for clinical
intervention: 24 hours post-injury administration of AdV-ZFP-VEGF. Moreover, administration
24 hours following injury aims to target a few important pathophysiological events post-SCI,
particularly vascular damage and apoptosis. In a model of spinal cord contusion, Ling and Liu
show that TUNEL-positive cells are maximally seen at 48 hours following injury in both the
grey and white matter [129]. Similarly, Crowe et al. demonstrated that maximal apoptosis was
observed at 48 hours following contusion injury, with apoptosis identified between 6 hours and 3
weeks [351]. Liu et al. showed that following contusion injury TUNEL-positive neurons were
observed between 4-24 hours, whereas TUNEL-positive glia were seen between 4 hours and 14
152
days with maximal numbers observed at 24 hours, although another peak of TUNEL-positive
glia were observed at 7 days post-injury [130]. With respect to vascular targets, research
suggests that angiogenic therapies should be administered to target endogenous vascular repair,
which occurs between 3 and 7 days following injury [58, 151]. Therefore, by administrating
AdV-ZFP-VEGF 24 hours following injury, I aim to target and reduce apoptosis as well as
enhance vascular regeneration. My data, showing reduced TUNEL and increased endothelial
cell proliferation, suggest that AdV-ZFP-VEGF is in fact capable of both neuroprotection and
angiogenesis. Although I have not investigated the detailed mechanisms or signaling pathways
of AdV-ZFP-VEGF in vivo, collectively data provide strong evidence that increasing VEGF
following injury may be beneficial and may stimulate cell survival and angiogenic pathways.
4.9 Conclusions
The present data demonstrate that, similar to immediate administration of AdV-ZFP-VEGF,
treated animals show increased VEGF mRNA and protein levels, increased vascular counts,
increased neuroprotection and reduced apoptosis. Overall, the administration of AdV-ZFP-
VEGF shows promise as a therapeutic treatment for SCI, and these findings suggest that AdV-
ZFP-VEGF treatment can be delayed up to 24 hours following injury, which presents a feasible
time-window for clinical intervention. To the best of my knowledge, this research is the first to
investigate the delayed administration of AdV-ZFP-VEGF in a model of SCI. Based on the
beneficial effects observed in a variety of cell populations, I believe AdV-ZFP-VEGF
administration further supports the use of VEGF as a potential candidate for neurotrauma
treatments.
153
Chapter 5
5 AdV-ZFP-VEGF Results in Functional Improvements and Reduced Allodynia Following SCI
5.1 Abstract
For decades, spinal cord injury research has looked for a cure; however, there are still limited
therapeutic options. Spinal cord injury often results in permanent functional deficits, which
drastically alter the quality of life of an individual. To this end, the scientific community
continues to explore novel therapeutics for SCI treatments. Previously, I have investigated
vascular endothelial growth factor-A (VEGF-A) as a potential therapy for SCI, and have shown
positive outcomes at the cellular and molecular level; however, the current research aimed to
elucidate if the effects of AdV-ZFP-VEGF observed in previous studies can be translated into
functional and behavioural improvements. Briefly, female Wistar rats – under cyclosporin-A
immunosuppression – received a 35g clip-compression injury and were administered AdV-ZFP-
VEGF or AdV-eGFP at 24 hours post-SCI. Animals were subject to weekly behavioural testing
(using BBB open-field scoring) for 8 consecutive weeks by two-blinded observers. On weeks 4,
6, and 8 post-injury, animals were tested for both mechanical and thermal allodynia, and
performed Catwalk™ testing. Animals were sacrificed at 8 weeks post-SCI, and tissue was
collected for histological assessment. Catwalk™ analysis showed AdV-ZFP-VEGF treatment
improves hindlimb weight support (p<0.05) and increases hindlimb swing speed (p<0.02) when
compared to control animals. Interestingly, animals treated with AdV-ZFP-VEGF also showed
improvements in forelimb function, specifically forelimb stride length (p<0.007). Finally, AdV-
ZFP-VEGF administration provided a significant reduction in allodynia, both at and below the
154
level of injury (p<0.01). The results of this study suggest that 24 hour delayed AdV-ZFP-VEGF
administration is may be an effective therapy following SCI, as it results in improved hindlimb
function and decreased allodynia.
5.2 Introduction
Perhaps the most devastating outcomes of spinal cord injury are paralysis and neuropathic pain.
Paralysis is caused by damaged axons and neurons in motor pathways at or above the level of
injury. Many models of SCI have been used to model the physical deficits post-injury, and
thoracic injuries are among the best-characterized for the targets loss of hindlimb function.
Motor impairment following SCI results from damage to and/or loss of both upper and lower
motor neurons. Injury to first and second order spinothalamic neurons, or first order neurons
from the medial lemniscus pathway, interrupts sensory information processing at and below the
level of injury and prevents normal signal transmission to the brain. Miscommunication in
sensory pathways can result in severe complications for patients suffering from SCI.
Development of neuropathic pain occurs in many patients, and although the exact mechanism is
unknown, it is hypothesized that it caused by misguided axonal sprouting or abnormal sodium
channel excitability in sensory neurons [79]. Neuropathic pain will be discussed in more detail
in subsequent paragraphs.
Development of neuropathic pain is dependent on location of the injury site and the surrounding
neural pathways. Clinically, neuropathic pain is divided into three areas which help to describe
the location of the pain: “above-level”, “at-level” and “below-level”. Chronic astrocyte and
microglial activation produce factors that result in hyperexcitability of neurons in distal regions
155
of the dorsal/ventral horns, with respect to the epicenter [171, 172]. Patients may also develop
mechanical and/or thermal allodynia, which causes previously innocuous stimuli to feel noxious.
In rats, neuropathic pain develops approximately 4 weeks post-injury and depends on injury
intensity [173]. In humans, it is estimated that the number of patients exhibiting neuropathic
pain is as high as 58% in some patient populations of SCI [174]. Consistent with the knowledge
that astrocytes and microglia are highly active in neuropathic pain, therapies that inhibit or
modulate astrocyte, microglial/macrophage activation have shown a reduced incidence of
neuropathic pain in animal models of SCI [175, 176].
In the current study, I aimed to elucidate the effects of 24 hour delayed AdV-ZFP-VEGF
delivery on neurobehavioural and functional outcomes. Investigating the functional effects of
AdV-ZFP-VEGF seemed worthwhile, considering our previous data (Chapter 4, Appendix 1),
and consistent with previous studies I do observed significant improvements in hindlimb weight
support (p<0.05) and marked reductions in mechanical and thermal allodynia (p<0.01). These
results provide important and meaningful pre-clinical outcomes, as decreased weight support and
the development of neuropathic pain are major issues in patients following traumatic SCI. From
the aspect of recovery and treatments for SCI, any therapy that improved hindlimb function
and/or reduced pain has the potential to significantly alter the quality of life in SCI patients. To
my knowledge, this is the first report that uses AdV-ZFP-VEGF in a delayed fashion which has
shown significant neurobehavioural improvements.
156
5.3 Objective
Based on the previous data suggesting beneficial outcomes (at cellular/molecular levels)
following AdV-ZFP-VEGF administration, I aim to investigate the effects of ZFP-VEGF gene
therapy at chronic time-points following SCI; specifically focusing on neurobehavioural and
neuroanatomical outcomes.
5.4 Hypothesis
It is hypothesized that the acute effects of ZFP-VEGF gene therapy observed in previous
research will translate into functional and behavioural improvements following spinal cord
injury.
5.5 Specific Aims
1. Assess the neurobehavioural effects of AdV-ZFP-VEGF post-SCI on hindlimb
locomotion and weight support.
2. Determine if AdV-ZFP-VEGF administration alters the development of neuropathic pain
following SCI.
3. Assess the neuroanatomical (tissue sparing) effects of AdV-ZFP-VEGF following SCI.
157
5.6 Methods
All animal experiments were conducted with approval from the Animal Care Committee,
University Health Network (Toronto, Canada).
Viral Vector Constructs
The VEGF-A-activating ZFP and controls were provided in viral vectors by Sangamo
BioSciences (Pt. Richmond, CA) and have been previously described [321, 334]. The VEGF-A-
activating ZFP (32E-p65) – referred to as AdV-ZFP-VEGF – is a 378 amino acid multi-domain
protein that is composed of three functional regions (Figure 15): (1) the nuclear localization
signal (NLS) of the large T-antigen of SV40, (2) a designed 3-finger zinc-fingered protein (32E)
that binds to a 9 base-pair target DNA sequence (GGGGGTGAC) present in the human VEGF-A
promoter region and (3) the transactivation domain from the p65 subunit of human NFκB, which
is identical to VZ+434, subcloned into pVAX1 (Invitrogen, San Diego, CA) with expression
driven by the human cytomegalovirus (CMV) promoter. Adenoviral (Ad5-32Ep65 or Ad5-
eGFP) vectors, referred to as AdV-ZFP-VEGF and AdV-eGFP, respectively, were packaged by
transfecting T-REx-293 cells (Invitrogen, San Diego, CA). T-REx-293 cells in ten-stack cell
factories were inoculated with Ad vectors at a multiplicity of infection (MOI) of 50 to 100
particles per cell. When adenoviral mediated cytopathy effect (CPE) was observed, cells were
harvested and lysed by three cycles of freezing and thawing. Crude lysates were clarified by
centrifugation, and 293 cells were seeded at 4x107 PFU and grown 3 days prior to transfection.
The calcium phosphate method was used for transfection. Infectious titers of the Ad vectors were
quantified using the Adeno-X Rapid Titer kit (Clontech, Mountain View, CA).
158
SCI and Intraspinal Microinjection
Animals were subject to a compressive spinal cord injury using a modified aneurysm clip, which
has been extensively characterized by the Fehlings’ laboratory and previously described [358].
Briefly, adult female Wistar rats (250-300g; Charles River, Montreal, Canada) were deeply
anesthetized using 4% isoflurane, and were sedated for the remainder of the surgery under 2%
isoflurane. Animals received a two-level laminectomy of mid-thoracic vertebral segments T6-
T7. A modified clip calibrated to a closing force of 35g was applied extradurally to the cord for 1
minute and then removed (Figure 14). The animals were divided into four groups in a
randomized and “blinded” manner, (1) Sham control group (laminectomy only – no SCI), (2)
Non-injected injured control group (laminectomy and SCI – no injection), (3) AdV -ZFP-VEGF
treatment group, and (4) AdV-eGFP control group. Using a stereotaxic frame and glass capillary
needle (tip diameter 60 µm) connected to a Hamilton microsyringe, a total of 5x108 viral plaque
forming units (PFU) were injected into the dorsal spinal cord 24 hours post-SCI. Four 2.5 μl (10
μl total) intraspinal injections were made bilaterally at 2mm rostral and caudal of the injury site
(Figure 14). Injections were 1mm lateral from the midline and 1mm deep into the spinal cord.
The injection rate is 0.60 µl/min and when the injection was completed, the capillary needle was
left in the cord for at least 1 min to allow diffusion of the virus from the injection site and to
prevent back-flow. The incision was closed in layers using standard silk sutures and animals
were given a single dose of buprenorphine (0.05 mg/kg). Animals were allowed to recover in
their cage under a heat-lamp and, subsequently, were housed in a temperature-controlled warm
room (26°C) with free access to food and water. Animals were given buprenorphine (0.05
mg/kg) every 12 hours for 48 hours following surgery, and their bladders were manually voided
three times daily. A subcutaneous injection of 10mg/kg of cyclosporin-A was administered daily
starting 24 hours prior to the SCI until the end of the experiments for immunosuppression. The
159
number of animals used in each experiment is outlined in Table 8. Final animal numbers in each
group are slightly varied due to unexpected mortalities during the experiments.
Histochemistry
Histological Processing. 8 weeks post-SCI, following deep inhalational anesthetic (isoflurane),
animals were transcardially perfused with 4% paraformaldehyde (PFA) in 0.1 M PBS. Then, the
tissues were cryoprotected in 20% sucrose in PBS. A 10 mm length of the spinal cord centered
at the injury site was fixed in tissue-embedding medium. The tissue segment was snap frozen on
dry ice and sectioned on a cryostat at a thickness of 14 μm. Serial spinal cord sections at 500 μm
intervals were stained with myelin-selective pigment luxol fast blue (LFB) and the cellular stain
hematoxylin-eosin (HE) to identify the injury epicenter. Tissue sections showing the largest
cystic cavity and greatest demyelination were taken to represent the injury epicenter.
Assessment of Tissue Sparing and Cavity Formation. Tissue sparing and cavity formation was
analyzed 8 weeks after SCI, at the center of the lesion, 2 mm above and 2 mm below the
epicenter. Sections were stained with LFB-HE. The measurements were carried out on coded
slides using StereoInvestigator software (MBF Bioscience, Williston, VT). Cross-sectional
residual tissue and cavity areas were normalized with respect to total cross-sectional area and the
areas were calculated every 500 µm within the rostrocaudal boundaries of the injury site.
Behavioural Testing
Open-field Locomotor Scoring. Locomotor recovery of the animals was assessed by two
independent observers using the 21 point Basso, Beattie, and Bresnahan (BBB) open field
locomotor score [337] from 1 to 8 weeks after SCI. The BBB scale was used to assess hindlimb
160
locomotor recovery including joint movements, stepping ability, coordination, and trunk
stability. Testing was done every week on a blinded basis and the duration of each session was 4
min per rat. Scores were averaged across both the right and left hindlimbs to arrive at a final
motor recovery score for each week of testing.
Automated Gait Analysis (Catwalk™). Gait analysis was performed using the Catwalk™ system
(Noldus Information Technology, Wageningen, Netherlands) as described [338, 339]. In short,
the system consists of a horizontal glass plate and video capturing equipment placed underneath
and connected to a PC. In our work, for correct analysis of the gait adaptations to the chronic
compression, after standardization of the crossing speed, the following criteria concerning
walkway crossing were used: (1) the rat needed to cross the walkway, without any interruption
(2) a minimum of three correct crossings per animal were required. Files were collected and
analyzed using the Catwalk™ program, version 7.1. Individual digital prints were manually
labeled by one observer blinded to groups. With the Catwalk™, a vast variety of static and
dynamic gait parameters can be measured during spontaneous locomotion. In the present study, I
examined the following parameters, most of which have been studied in human CSM gait
analysis:
• forelimb stride length (expressed in mm): distance between two consequtive forelimb
paw placements
• hindlimb print area (expressed in mm2)
• hindlimb print width (expressed in mm)
• hindlimb print length (expressed in mm)
• hindlimb swing speed (expressed in pixels/sec): is the speed of the paw during the swing
phase (the duration of no paw contact with the glass plate during a step cycle).
161
Before surgery, animals were acclimated and trained to the walking apparatus following the
method describing by Gensel et al. [340].
Neuropathic Pain. At-level mechanical allodynia was determined at 4 weeks and 8 weeks post-
SCI using 2 g and 4 g von Frey monofilaments as previously described [173]. Animals were
acclimatized for 30 minutes in an isolated room for 30 minutes prior to pain testing. The von
Frey monofilament was applied to the dorsal skin surrounding the incision/injury site 10 times
and animals’ behavioural response to each was recorded. An adverse response to the application
of the monofilament (determined in advance of experiments) included vocalization, licking,
biting and immediate movement to the other side of the cage. The proportion of rats to exhibit
allodynia in each group is reported, and an increased number of responses was associated with
the development of at-level mechanical allodynia. Below-level mechanical allodynia was
determined by quantifying the pain threshold of the hindpaws. Animals were placed in stance on
a raised grid, allowing von Frey filaments to be applied to the plantar surface of the hindpaw.
Increasing monofilaments were used (2, 4, 8, 10, 16, 21, and 26 g) until the animal displayed an
adverse response (as described above). The weight of the von Frey filament that elicited the
response was recorded as the pain threshold value, with lower threshold values indicating
increased sensitivity to mechanical stimuli (and perhaps the development of mechanical
allodynia). Finally, below-level thermal allodynia was assessed using the tail flick method. A
50°C thermal stimulus was applied to the distal portion of the animals’ tail by a Tail Flick
Analgesia Meter (IITC Inc. Life Science, Woodland Hills, California, USA), and the time for the
animal to remove its tail from the stimulus was recorded. The latency time is graphed for each
treatment group, and decreased latency times were associated with the development of thermal
allodynia.
162
Electrophysiology
Motor Evoked Potentials. Motor evoked potential recordings (MEPs): In addition to
the behavioural assessements, MEPs were recorded in vivo to assess the physiological integrity
of spinal cord. This approach has been extensively used in our laboratory in rodent models of
SCI. In vivo recordings of motor evoked potentials were recorded from the each of the treatment
and control groups at 8 weeks post-injury. For MEPs, rats were under light isoflourane
anaesthesia (<1%), and recordings were obtained from hindlimb biceps femoris muscle.
Stainless steel subdermal needle electrodes were inserted into the muscle. Recordings were
acquired using Keypoint Portable (Dantec Biomed, Denmark). A reference electrode was placed
under the skin between the recording and stimulating electrodes. Stimulation was applied to the
midline of the cervical spinal cord using a silver ball electrode (0.13 Hz; 0.1 ms; 2 mA; 200
sweeps). The interlaminar ligaments were removed and a small amount of bone was removed
from the vertebra (not a full laminectomy, just enough to create a space for the electrode to reach
the cervical cord). The amplitude was determined by the difference between the positive peak
and negative peak. Latency was calculated as the time from the start of the stimulus artifact to
the first prominent peak. For individual rats, the average of peak amplitude and latency
was averaged from 200 sweeps and analyses was undertaken by ANOVA.
H-Reflex. The Hoffmann reflex is one of the most studied reflexes in humans and is the electrical
analogue of the monosynaptic stretch reflex. The H-reflex is evoked is evoked by low-intensity
electrical stimulation of the afferent nerve, rather than a mechanical stretch of the
muscle spindle, that results in monosynaptic excitation of alpha-motorneurons. H-reflex can be
used as a tool (in combination with other outcome measures) to examine spasticity and short-
and long-term plasticity. Recording electrodes were placed two centimeters apart in the mid-calf
163
region and the posterior tibial nerve was stimulated in the popliteal fossa using a 0.1 ms
duration square wave pulse at a frequency of 1 Hz. The rats were tested for maximal plantar H-
reflex / maximal plantar M-response (H /M) ratios to determine the excitability of the reflex.
The recordings were filtered between 10-10000 Hz.
Statistical Analysis
Data were analyzed with SigmaPlot software (Systat Software Inc., San Jose, California, USA).
For comparison of groups sampled at various distances from the injury site (TUNEL, RECA-1,
NeuN), I used two-way analysis of variance (ANOVA) with repeated measures, followed by the
post-hoc Holm-Sidak test. For comparisons of multiple groups at a single time point (Western
blotting, BBB, Catwalk™, Electrophysiology), I performed a One-way ANOVA, followed by
the post-hoc Holm-Sidak test. In all figures, the mean value ± SEM are used to describe the
results. Statistical significance was accepted for p values of <0.05.
164
Table 8. Animals used in Chapter 5 experiments.
Experiment Group Original Animal # Final Animal #
CatWalk™ Sham 5 5 (Figure 31, Figure 32) Injured Control 12 5
AdV-eGFP 12 5
AdV-ZFP-VEGF 12 5
BBB Scoring, Tissue Sparing Sham 5 5 Neuropathic Pain Injured Control 12 10
(Figure 33, Figure 35, Figure 36) AdV-eGFP 12 10
AdV-ZFP-VEGF 12 8
Electrophysiology Sham 5 5 (Figure 34) Injured Control 12 6
AdV-eGFP 12 6
AdV-ZFP-VEGF 12 6
165
5.7 Results
5.7.1 AdV-ZFP-VEGF results in functional improvement
At the cellular/molecular level, I have previously observed that AdV-ZFP-VEGF results in
beneficial effects. However, in order to assess the viability of any therapy, these effects must be
translated into functional gains. In this study, I assessed hindlimb function using open-field BBB
scoring and Catwalk™, between 1-8 weeks following clip-compression SCI. Analysis of
Catwalk™ data showed that animals treated with AdV-ZFP-VEGF had significantly improved
hindlimb weight support (p<0.05) (Figure 31), hindlimb swing speed (p<0.02) (Figure 32), and
forelimb stride length (p<0.02) compared to all other injured control groups. Although AdV-
ZFP-VEGF animals still perform significantly worse than uninjured controls, the functional
recovery observed by Catwalk™ are promising. Enhancements in hindlimb weight support and
overall gait (hindlimb swing speed, and forelimb stride length) are important changes that may
improve the quality of life of individuals suffering with SCI.
166
Figure 31. AdV-ZFP-VEGF improves hindlimb weight support. Catwalk™ gait analysis
was used to assess hindlimb weight support. Animals were assessed every week between 4-8
weeks, and each animal performed a standardized Catwalk™ run. A blinded observer analyzed
the data. A) Paw area, B) Paw width, and C) Paw length. Data presented are the mean ± SEM, n
= 5/group (the best five animals were selected and quantified from each experimental group), at
8 weeks following SCI. One-way ANOVA (Holm-Sidak). * p<0.05, ** p<0.005.
168
Figure 32. Forelimb and Hindlimb locomotion is improved by AdV-ZFP-VEGF
administration. A) Catwalk™ gait analysis was used to assess hindlimb swing speed. Animals
were assessed every week between 4-8 weeks, and each animal performed a standardized
Catwalk™ run. A blinded observer analyzed the data. Data presented are the mean ± SEM, n =
5/group, at 8 weeks following SCI. One-way ANOVA (Holm-Sidak). * p<0.02. B) Catwalk™
gait analysis was used to assess forelimb stride length. Animals were assessed every week
between 4-8 weeks, and each animal performed a standardized Catwalk™ run. A blinded
observer analyzed the data. Data presented are the mean ± SEM, n = 5/group, at 8 weeks
following SCI. One-way ANOVA (Holm-Sidak). * p<0.02.
5.7.2 AdV-ZFP-VEGF does not result in improved BBB scores
Interestingly, AdV-ZFP-VEGF treated animals did not show improved BBB scores, compared in
injured control animals, although they did perform better than AdV-eGFP injected animals
(p<0.01) (Figure 33). Despite my observations of significant recovery shown by Catwalk™, the
BBB scores between injured control and AdV-ZFP-VEGF animals are virtually identical at 8
weeks post-injury (BBB scores ≈ 9). In the discussion I will provide a more detailed explanation
that may validate these findings; however, the discrepancy between BBB and Catwalk™ data
may be due to the more qualitative nature of the BBB, as opposed to the quantitative gait
analysis software.
170
Figure 33. AdV-ZFP-VEGF does not improve open-field walking (BBB) scores following
SCI. Open-field locomotion was assessed using the 21-point BBB scale. Animals were assessed
weekly for 8 weeks following injury by blinded observers. The left and right limbs were scored
individually, but the data presented are the average between left and right hindlimb recovery.
n=5-10/group (see Table 8). ** p<0.001, * p<0.01.
171
5.7.3 Delayed AdV-ZFP-VEGF administration does not improve motor evoked potentials or H-reflex following SCI
To further examine the functional changes I performed in vivo electrophysiology on the
hindlimbs of animals at 8 weeks post-SCI. My data indicates that although AdV-ZFP-VEGF
treated animals show an improved gait via Catwalk™ analysis, I did not observe any significant
improvements in axonal conduction in the hindlimbs, as assessed by motor evoked potential
recordings (Figure 34A and 34B). I also examined the H-reflex (H/M ratios) following SCI as a
measure of spasticity, and observed no significant electrophysiological differences between
groups, although AdV-eGFP treated animals demonstrated worse electrophysiological outcomes
(Figure 34B).
172
Figure 34. Electrophysiological assessment following AdV-ZFP-VEGF administration. A)
Representative tracings of MEP’s recorded from the hindlimb at 8 weeks post-injury. B) MEP
quantification. Recordings were obtained from hindlimb biceps femoris. Stimulation was
applied to the midline of the cervical spinal cord (0.13 Hz; 0.1 ms; 2 mA; 200 sweeps). Latency
was calculated as the time from the start of the stimulus artifact to the first prominent peak.
AdV-ZFP-VEGF did not result in improved MEP’s. C) H-Reflex quantification. Recording
electrodes were placed two centimeters apart in the mid-calf region and the posterior tibial nerve
was stimulated in the popliteal fossa using a 0.1 ms duration square wave pulse at a frequency of
1 Hz. The rats were tested for maximal plantar H-reflex / maximal plantar M-response (H /M)
ratios to determine the excitability of the reflex. AdV-ZFP-VEGF administration did not
significantly alter the H/M ratio. n=5-6/group (animals were randomly selected from a larger
population of animals within the experimental group).
5.7.4 AdV-ZFP-VEGF administration significantly reduces allodynia
A devastating post-injury condition is neuropathic pain, which affects a significant portion of
SCI patients [174, 361]. In this study I aimed to investigate the development of neuropathic
pain in AdV-ZFP-VEGF treated animals: hopeful that I would observe no increases in pain
unlike the resent report by Nesic et al. [362]. Animals were tested for thermal and mechanical
allodynia at 4 and 8 weeks following SCI, and here I observe that animals receiving AdV-ZFP-
VEGF gene therapy have a significant reduction in allodynia, for both at-level and below-level
pain, at 8 weeks post-injury (Figure 35). Testing with calibrated von Frey filaments around the
lesion site (on the dorsal skin) showed AdV-ZFP-VEGF animals to have a significant reduction
in at-level mechanical allodynia (p<0.005). An increasing application of von Frey filaments to
174
the plantar surface of the hindlimbs demonstrated a marked reduction in below-level alloydnia,
compared to injured control (p<0.05) and AdV-eGFP treated animals (p<0.005). Furthermore, I
examined below-level thermal allodynia, and observed a significant increase in pain tolerance
(increased response time) in animals receiving AdV-ZFP-VEGF (p<0.05).
175
Figure 35. AdV-ZFP-VEGF significantly reduces allodynia at 8 weeks post-SCI.
Mechanical and thermal allodynia, measures of neuropathic pain, were monitored with von Frey
monofilaments. Error bars represent SEM. n=5-10 per group (see Table 8). A) At-level
mechanical allodynia. Animals were assessed with 2 g or 4 g von Frey monofilaments around
the dorsal incision (above T6-T7 laminectomy and injury). Data are expressed as the average
number of adverse reactions out of 10 applications of the monofilament. There was an overall
treatment effect with AdV-ZFP-VEGF using the 2 g and 4 g monofilaments at 4 weeks and 8
weeks post-injury (ANOVA, * p < 0.05. B) Below-level mechanical allodynia. Animals were
subject to increasing von Frey filaments (2 g – 26 g), and the when they elicited a response, this
value was taken as the pain threshold value. Data are reported as the average threshold for each
group. AdV-ZFP-VEGF increased hindlimb threshold compared to other injured groups (* p <
0.05, ** p < 0.005). C) Below-level thermal allodynia. A 50°C thermal stimulus was applied to
the distal tip of the tail. The data shown are the average time it took for the animals to withdrawl
their tail from the stimulus (“tail flick”). Shorter response times indicate a decreased pain
threshold. Animals treated with AdV-ZFP-VEGF showed an increased tolerance/threshold to
thermal stimuli at 8 weeks post-injury compared to other injured groups (* p < 0.05).
5.7.5 AdV-ZFP-VEGF treatment results in spared grey matter, but not white matter tissue at 8 weeks post-SCI
Eight weeks after SCI, spinal cord cross-sections were stained serially with LFB-HE.
Measurements of tissue sparing were calculated using StereoInvestigator software, and are
expressed as the average cross-section area. Spinal cords from AdV-ZFP-VEGF treated rats did
not show evidence of white matter tissue sparing compared to control injured animals (Figure
177
36A); however, AdV-ZFP-VEGF administration exhibited an overall increase in residual grey
matter in (sections spanning 2 mm rostral and 2 mm caudal to the injury epicenter) when
compared to tissue sections from AdV-GFP and injured control rats (Figure 36B; ** p < 0.001).
178
Figure 36. Tissue sparing quantification at 8 weeks post-SCI. A) Residual white matter
quantification. B) Residual grey matter quantification. AdV-ZFP-VEGF improves spinal cord
grey matter preservation. C) Representative sections are shown from each group. Sections
shown are taken 1 mm rostral to the epicenter at 8 weeks after SCI. AdV-ZFP-VEGF treated
spinal cord exhibited a larger extent of grey matter spared tissue (** p < 0.001). Data are mean ±
SEM values (n = 5-10/group, see Table 8).
5.8 Discussion
In the present study, I investigated the effects of 24 hour delayed AdV-ZFP-VEGF on the
functional recovery and neuroanatomical preservation following thoracic SCI. Catwalk™
analysis demonstrated that animals treated with AdV-ZFP-VEGF showed improved hindlimb
gait and weight support, as well as improved forelimb gait, even though no differences were
observed by BBB testing or electrophysiological assessment. Moreover, results indicated that
AdV-ZFP-VEGF drastically reduced the development of thermal and mechanical allodynia in
animals at 8 weeks post-injury, suggesting that AdV-ZFP-VEGF may prevent the
development/onset of neuropathic pain. Lastly, results showed that AdV-ZFP-VEGF spared a
significant amount of grey matter tissue compared to other injured groups.
Despite extensive research efforts, there is still no therapy for spinal cord injury (SCI). With
that, our laboratory and many others believe that continuing SCI and neurotrauma research is
critical. Further research will contribute to our understanding of SCI pathophysiology and help
us identify potential therapeutic agents which may be suitable for clinical translation. To
accurately mimic patient treatment post-SCI, developing therapies must consider the reality of
180
delayed surgical or pharmaceutical intervention. The literature suggests that early intervention
following SCI, either surgically or pharmaceutically, is beneficial and that longer wait times
result in lesser outcomes and a poorer long-term prognosis [363, 364]. Ideally, patients would
receive immediate treatment post-SCI; however, realistically, patients are more likely to be
admitted to a trauma center and treated within 8-24 hours. In this research I used a 24 hour time
point to assess if AdV-ZFP-VEGF would be a viable treatment option for SCI.
The Basso Beattie Bresnahan (BBB) scoring scale to assess hindlimb deficits in thoracic SCI has
been, and continues to be the “gold standard” for functional assessment [337]. The scoring
system evaluates the hindlimb joint movement and the hind-paw orientation/stepping, provides a
general indication of the locomotor capabilities of the animal, and establishes if the animal can
weight-bear. The major shortcomings of the BBB are two-fold. First, although the BBB is to be
conducted by blinded observers, the system is still highly subjective to human errors. Secondly
– and perhaps the most confounding factor – the BBB is a qualitative system: simply indicating
if the animal is competent of defined movements, providing a relatively subjective score of how
much or how well an animal can perform a task (occasional, frequent or consistent). For
detecting major functional differences in animals, the BBB scoring scale is highly effective and
easy to conduct; however, more subtle differences between treatment groups may not be
observed by BBB assessment. Additionally, since the BBB scale is not a linear relationship
between the numerical value and the functional gains associated with them, teasing out
meaningful results can become a challenge. In this research, I used both the BBB and the
Catwalk™ gait analysis software to assess functional recovery post-injury. While scoring
animals using BBB, I noted differences subtle differences between animals (some of the moved
more normally, and with greater consistency); however, these variations were not strong enough
181
to increase their BBB score. Overall, I observed no differences in BBB scores between groups.
On the other hand, Catwalk™ data indicate that AdV-ZFP-VEGF treated animals have
significant improvements in hindlimb weight support, and hindlimb swing speed. Although the
BBB is a valid, widely used method of behavioural evaluation, the Catwalk™ is a more sensitive
and quantitative outcome measure, which may reveal understated changes in recovery. From a
clinical perspective, improvements in hindlimb weight support and gait may have an important
impact on the mobility and independence of an injured individual. Interestingly, Catwalk™
analysis also revealed that AdV-ZFP-VEGF animals showed improved forelimb stride length,
suggesting that AdV-ZFP-VEGF could potentially enhance hindlimb-forelimb coordination;
although with BBB scores of 9, we did not observe hindlimb-forelimb coordination in any
injured animal group. In the histological examination of grey and white matter post-SCI, I did
not investigate sparing of specific pathways or specific neuronal phenotypes (i.e. interneurons vs.
motor neurons); however, improvements in both hindlimb and forelimb kinetics could suggest
that AdV-ZFP-VEGF may spare propriospinal interneurons, which are located at the grey-white
matter interface and are involved in coordination of limb movements [365]. Future experiments
involving AdV-ZFP-VEGF should aim to investigate the effects of AdV-ZFP-VEGF on
interneuron sparing/survival, since these cells have been attributed to regulating central pattern
generators (CPGs) and should therefore be of interest for promoting locomotor recovery
following SCI.
In compliment to our previous data showing AdV-ZFP-VEGF spares neurons (Chapter 4), in this
study I quantified residual tissue at 8 weeks post-SCI and my data shows that delayed AdV-ZFP-
VEGF administration results in improved grey, but not white matter. Sparing grey matter at T6-
T7 is likely to result in improved trunk/abdominal stability, which may account for some of the
182
behavioural improvements I observed. Taken together, these results suggest that AdV-ZFP-
VEGF likely acts by promoting survival of neuronal cell bodies. The functional outcomes
observed in this study – improved gait, hindlimb weight support and decreased pain – would be
consistent with previous research demonstrating improved propriospinal tracts (limb
coordination) [366], reticulospinal tracts (locomotion and weight-bearing stepping) [367], and
spinothalamic tracts (neuropathic pain) [368, 369] following traumatic SCI; all pathways which
surround the grey-white matter interface. A recent paper by Nesic et al. showed that delivery of
VEGF165 resulted in the development of neuropathic pain [362]. Based on this, I thought it was
important to assess neuropathic pain following injections of AdV-ZFP-VEGF, considering
increased pain would be a detrimental side-effect of any SCI treatment. In contrast to the Nesic
et al. study, I showed a marked reduction in allodynia following ZFP-VEGF administration.
Although the exact mechanisms of these findings are unknown, it is potentially due to the
delivery of multiple VEGF isoforms that leads to a better outcome. The sparing of spinal tracts
were not specifically identified; however, increased residual grey matter likely contributes to
improved pain processing pathways (interneurons) and a decrease in aberrant pain [370-372].
Future studies are required to investigate the exact mechanisms of the attenuated allodynia
observed following AdV-ZFP-VEGF administration.
5.9 Conclusions
I believe this is the first report to investigate the functional outcomes following delayed AdV-
ZFP-VEGF administration. My previous findings showed cellular and vascular improvements
following AdV-ZFP-VEGF delivery, and in the current research I demonstrate that these
183
beneficial effects can be translated into improved functional recovery, as well as attenuated
allodynia following SCI. Collectively, these data suggest that targeting vascular and
neuroprotective mechanisms by AdV-ZFP-VEGF administration may be a viable treatment for
spinal cord injury. Moreover, the delayed administration of this therapy enhances its potential to
be used clinically.
184
Chapter 6
6 General Discussion and Future Directions
I have demonstrated that there is rapid, widespread damage to the vasculature following
traumatic spinal cord injury. Although conceptually this is not surprising or a new idea; until
now, no research has examined the temporal and spatial profiles of vascular damage in a
contusive-compressive model of SCI. Previous research has shown that the vasculature is
disrupted following SCI; however, this is the first study to collectively demonstrate detailed
quantitative data about vessel loss, deceased vascular perfusion, differences between grey and
white matter vascular damage, and endogenous vascular proliferation after clip-compression
SCI. To some extent, the spinal cord initiates an endogenous effort to repair and revascularize
the injured area; however, this does not completely restore the vascular network and the vascular
damage may propagate additional secondary injury mechanisms – ultimately exacerbating the
damage. Based on the data I have collected, taken with other research dedicated to spinal
vasculature, I believe that the vasculature is an important therapeutic target following SCI.
I have shown that AdV-ZFP-VEGF administration can be delayed 24 hours following spinal
cord injury, and still provide beneficial effects. To date, these studies are the first to use AdV-
ZFP-VEGF in a delayed fashion, and one of few studies that have used any form of VEGF
therapy at a delayed point post-injury [282, 298]. I observe significant improvements at the
cellular and molecular levels, including an increased number of vessels, reduced apoptosis and
increased neurons. Additionally, I observe improved functional benefits in animals treated with
AdV-ZFP-VEGF, including increased hindlimb weight support and significant reductions in
185
neuropathic pain. Collectively, the data suggests that: (i) administration of AdV-ZFP-VEGF
results in an increase in VEGF, which may elicit effects through cell survival and angiogenic
mechanisms, (ii) AdV-ZFP-VEGF has a therapeutic time window following SCI which extends
at least until 24 hours following injury, and (iii) vascular damage following neurotrauma may be
an effective therapeutic target.
6.1 Potential mechanisms of VEGF-A treatment
VEGF, although predominantly known for its vascular properties, is now recognized as a multi-
functional signaling protein [211, 235]. Although it has been the focus of recent neurotrauma
research, its specific roles following VEGF administration and SCI are not completely
understood.
Mechanistically, VEGF acts as a ligand for three trans-membrane tyrosine kinase receptors
(VEGFR-1, VEGFR-2, and VEGFR-3) [239]. While all receptors play important roles in vivo, it
is thought that VEGFR-2 is responsible for signaling cascades such as angiogenesis,
proliferation, cell survival, cell migration, and changes in vascular permeability – many of which
are initiated following spinal cord injury [253].
Previous studies have indicated that VEGF-A, VEGFR-1 and VEGFR-2 are upregulated
following neurotrauma: perhaps as an endogenous attempt to stimulate cell survival and
regeneration [281, 286, 288, 373]. Research has shown that VEGF-dependent cell survival is
controlled by the Akt/PKB pathway, which inhibits pro-apoptotic pathways such as BAD and
186
Caspase-9 and activates some anti-apoptotic proteins, including Bcl-2, XIAP, and A1 [258, 259,
374]. Additionally, this research demonstrated that VEGF stimulates proliferation through
activation of the extracellular regulated kinase (Erk) pathway, ultimately leading to an increase
in gene transcription.
Stimulation of the Akt/PKB pathway via VEGFR-2 can also induce endothelial nitric oxide
synthase (eNOS) expression. This signalling results in the subsequent generation of NO and
increases in vascular permeability and cellular migration [260, 261]. Additionally, p38 mitogen-
activated protein kinase (p38MAPK) is also signaled through VEGFR-2 and has been shown to
mediate actin re-organization and cell migration [262]. Moreover, VEGF-A is able to induce
the migration and differentiation of endogenous hematopoietic stem cells – a property which
may be very important for repair and regeneration following SCI [211, 239].
It is clear that VEGF-A acts on various pathways and many different cell types. Although I may
not be able to selectively control which pathways are activated by AdV-ZFP-VEGF delivery, it
appears that overall upregulation of VEGF is beneficial following SCI. Here I have
demonstrated that AdV-ZFP-VEGF targets neurons and vasculature, which appears to result in
cellular and functional improvements. AdV-ZFP-VEGF administration at 24 hours post-injury is
likely acting in two separate time-windows. In the early phase (24 – 48 hours), VEGF appears to
target cell survival mechanisms (as observed by an increase in NeuN and RECA-1 – Figure 28
and 29). While in the later phase (72 hours – 7 days), increased VEGF levels are likely directed
towards revascularization mechanisms (as observed by an increase in angiogenesis at 5 days –
Figure 30). I believe that because of VEGF-A’s multifaceted properties in vivo, it is an ideal
candidate for potential SCI therapy. Moreover, using a gene therapy delivery method (such as
187
AdV-ZFP-VEGF), the prolonged upregulation of VEGF between 2-7 days post-injury allows it
to target a number of cellular processes, thereby increasing its therapeutic effectiveness.
6.2 Vasculature damage plays an important role in SCI
SCI results in significant vascular damage, including disruption of spinal cord blood flow, the
onset of spinal cord ischemia, hemorrhage, edema and breakdown of the blood-spinal cord
barrier (BSCB). These vascular changes encompass many of the earliest pathological processes
following SCI, therefore therapies aimed directly at the vascular disruption or the ensuing
downstream consequences of vascular injury are highly attractive. In theory, rapid vascular
repair following injury will likely result in the most favourable outcomes. Promoting repair and
regeneration of vascular structures would mediate ischemia, hemorrhage and further edema by
restoring proper blood-flow and stopping leaky vessels. Moreover, restoring the proper structure
and function of the BSCB would likely reduce the influx of inflammatory cells into the spinal
cord, thereby reducing the damage caused by reactive microglia [136, 137].
In the present study, I examined the effects of AdV-ZFP-VEGF – a ZFP transcription factor
designed to increase the expression of all major VEGF-A isoforms – in a well-characterized
model of compressive SCI. AdV-ZFP-VEGF has been previously used in rabbit hindlimb,
mouse ear and rat spinal cord tissues with all results showing increases in endogenous VEGF-A
expression and beneficial vascular outcomes [212, 316, 318, 319, 321]. Likewise, the data
demonstrates that VEGF-A was upregulated at both the mRNA and protein levels after AdV-
ZFP-VEGF treatment. Notably, I observed significant increases in VEGF120 and VEGF164
isoforms. VEGF121 and VEGF165 – which are the human homologues of VEGF120 and VEGF164
188
– are the predominant isoforms of VEGF-A expressed in the human central nervous system and
appear to be the key players in angiogenesis in the spinal cord [375]. Further studies are required
to determine whether AdV-ZFP-VEGF results in improved blood-flow or BSCB repair;
however, the current data suggests that AdV-ZFP-VEGF has positive effects on the
microvasculature following SCI, since AdV-ZFP-VEGF treated animals have a greater number
of blood vessels 10 days following SCI compared to control animals.
6.3 Targeting the neurovascular niche
Therapies specifically targeting vascular damage, vessel density and restoration of blood flow to
the injured spinal cord may provide an opportunity for spinal cord repair and recovery [376].
Recent reports have shown significant correlations between blood vessel density and
improvements in recovery following CNS trauma [324-326, 377]. Rescue and regeneration of
the microvasculature within the epicenter and penumbra remains largely unexplored, yet may be
a promising therapeutic route to facilitate tissue sparing and functional recovery following SCI.
It has been shown that substantial trophic support is provided by CNS microvessels [302] and
that microvessels are critical for tissue survival [291].
VEGF supports the “neurovascular niche”, as it appears to play important roles in both vascular
and neural development, bridging both endogenous systems. Expression of VEGF-R’s have
been observed in many cell types, including neurons, microglia/macrophages, endothelial cells,
smooth muscle cells and astrocytes [281, 285, 286, 288, 292, 293]. Through interactions with
co-receptors, Neuropilins, VEGF is able to influence the function and development of neural
cells, which may be a key role for VEGF therapies following neurotrauma [246, 378].
189
Additionally, studies have shown that regenerating axons have a tendency to grow along blood
vessels, therefore promoting vascular growth following injury may provide scaffolding for
regenerating axons [332, 347].
6.4 Advantages of AdV-ZFP-VEGF compared to other VEGF therapies
Due to the important pleiotropic functions of VEGF, it has been a popular research topic in
recent years, specifically in neurotrauma research [279, 285, 286, 289, 294, 359, 373].
Complementary to this research, recent publications have also examined the role of VEGF-A in
models of SCI and shown positive results. In a weight-drop SCI model, rats treated with
VEGF165 showed significantly improved behaviour after SCI, notable repair of blood vessels and
reduced apoptosis [298]. Choi et al. induced VEGF-A expression using a hypoxia-inducible
system to treat SCI and demonstrated increased VEGF expression and observed neuroprotective
effects [359]. Similarly, Facchiano et al. used an adenovirus coding for VEGF165 in a partial
spinal cord transection model and detected a significant increase in vessel volume and a
reduction of corticospinal tract axon degeneration [360]. Lastly, another study reported that
delayed administration of recombinant human VEGF165 (48 hours post-ischemia) to ischemic
rats enhanced angiogenesis and significantly improved neurological recovery [379, 380].
However, the previously described approaches using VEGF-A have relied on the introduction of
a single splice isoform of VEGF-A (VEGF165), which may not result in optimal neuroprotective
or angiogenic effects. Research has shown that the administration of a single VEGF isoform
(typically VEGF164/165) results in improper vascular regeneration and repair, creating leaky
vessels which can further contribute to the SCI pathophysiology [354, 379].
190
ZFP-VEGF technology – a viral vector encoding a zinc-finger transcription factor protein (ZFP),
which activates endogenous VEGF-A expression – has been previously used to demonstrate that
expression in vivo leads to induced expression of VEGF-A protein, stimulated angiogenesis, and
accelerated wound healing [316]. I believe that this novel approach presents advantages over
previous attempts to use VEGF-A as an angiogenic target because AdV-ZFP-VEGF upregulates
endogenous VEGF-A expression, thereby mimicing physiological VEGF production and the
expression of multiple VEGF isoforms in the injured spinal cord – a requirement for proper
vascular development and functional angiogenesis [381].
6.5 Potential disadvantages of VEGF therapies
Although VEGF has many desirable attributes for neuroprotection and vascular repair, it is
important to recognize that some of these attributes have the potential to be deleterious and
exacerbate damage following SCI. In development or maintenance of vascular structures, VEGF
stimulates angiogenesis by signaling matrix-metalloproteinases (MMPs) to breakdown the BSCB
and matrix in order to make way for new vascular sprouts. However, following injury, greater
amounts of VEGF are released from surrounding cells and vascular remodeling is quickly
initiated, which leads to a rapid hyperpermeability of the local vessels. This increase in
permeability may contribute to an increased inflammatory response or increased edema
following CNS injury. In particular, disruption of the BSCB following injury presents an entry
route for inflammatory mediators to enter the CNS without resistance. A previous study reported
that VEGF is able to promote monocyte migration in vitro and that administration of VEGF
therapies may contribute to inflammatory responses following injury [382]. Although I observed
no increased inflammatory response in AdV-ZFP-VEGF animals compared to other injured
191
control groups at 10 days following injury (data not shown), it is possible that VEGF therapies
exacerbate early inflammation.
Varying studies report that 26-96% of human patients experience neuropathic pain following SCI
[361]. Research has identified VEGF as one of the potential factors involved in the development
of neuropathic pain; however, it is still unclear if VEGF plays a beneficial or detrimental role.
Schratzberger et al., found that intramuscular injections of VEGF improved vascularity, blood
flow and peripheral nerve function in a rabbit model of diabetic neuropathy [383]. Since it is
believed that diabetic neuropathy is caused from microvascular ischemia, their findings
reasonably support the use of VEGF for the treatment of neuropathies. Conversely, Nesic et al.
recently showed that VEGF administration into the spinal cord resulted in an increased number
of animals displaying neuropathic pain, as well as an increase in myelinated dorsal horn neurons,
suggesting that VEGF results in non-specific axonal sprouting [362].
Regardless of whether VEGF therapies result in favourable or damaging outcomes, it is most
important for future research to be aware of potential pitfalls of VEGF administration and to
consider the implications they may have on the bench-to-bedside translation of these therapies.
6.6 Comparison of Results to Other SCI Therapies
6.6.1 AdV-ZFP-VEGF: Immediate vs. 24-hour Administration
Previously, our lab examined AdV-ZFP-VEGF administration when delivered immediately
following SCI (See Appendix 1). In the previous study, we aimed to investigate if AdV-ZFP-
192
VEGF functioned in vivo, and resulted in beneficial outcome. In the present study, the main
objective was to investigate if AdV-ZFP-VEGF administration could be delayed, while retaining
its protective properties that we previously observed.
When comparing data between 0 hour and 24 hour administration, I observed very similar VEGF
mRNA and protein expression profiles. VEGF120 and VEGF164 mRNA are increased
approximately 2-fold over uninjured animals, and VEGF protein is also increase by
approximately 2-fold.
Following 24 hour administration of AdV-ZFP-VEGF, I observed a 15-25% increase in RECA-1
cells, whereas following 0 hour administration (our previous research) we observed closer to a
35% increase in RECA-1-positive vessels. For future research, this may be an important
consideration for determining the optimal delivery time. Obviously, therapies cannot be
administered immediately post-injury; however, this suggests that an earlier intervention would
associate with an improved vascular recovery (by approximately 10%).
In comparing 0 and 24 hour delivery time-points, I also observe very similar results for NF200
preservation and apoptosis. NF200 quantification at both time-points demonstrates a 2-fold
increase in NF200 expression compared to other injured groups. TUNEL quantification
following 0 hour administration results in an average of 50% reduction in apoptotic cells,
whereas, following 24 hour administration I observe an average of 30% reduction of apoptosis.
Again, although delivery at 24 hours results in a significant decrease in cell death, comparison of
the data from two administrations suggests that an earlier delivery may provide a more
substantial neuroprotective effect.
193
Evaluation of functional data between 0 hour and 24 hour administration, is not directly
comparable since the study conducted by Liu et al. uses AAV vectors for the long-term
experiments (AAV-ZFP-VEGF and AAV-DsRed) [212]. Regardless, for both studies, we
observe that VEGF treated animals improve to 8-9 on the BBB scale and control animals (eGFP
or DsRed) achieve a BBB score of 6. The consistency of these results highlights the reliability
and reproducibility of both the clip-compression injury model, as well as the delivery/injection
technique across individual researchers and laboratory conditions. Additionally, it may be
possible for both AdV and AAV vectors to improve function; however, as seen in Figure 37, I do
not show improvement in animal locomotion when AAV-ZFP-VEGF is delivered 24 hours post-
SCI. This may be due to the delay of onset of AAV vector kinetics in vivo, which is discussed in
more detail in the discussion below (see Section 6.7.2). Overall, between 0 hour and 24 hour
ZFP-VEGF administration, we observe strikingly similar results; however, the current research
has included additional experimental groups (namely an “injured control” group which does not
receive intraspinal injections), which slightly alters our interpretation of the BBB data. Here we
observe the same differences in BBB scores between ZFP-VEGF and eGFP treated animals
(comparing 0 and 24 hour time points), except now we observe AdV-ZFP-VEGF and Injured
Control animals display similar BBB scores. By using Catwalk™ analysis, we are able to show
that AdV-ZFP-VEGF animals are actually performing better than Injured Control animals;
however, I believe that including an “injured control” group is an important experimental
control, since ultimately you should be able to answer the question: Is administering a therapy
better than doing nothing?
194
Figure 37. 24 hour delayed AAV-ZFP-VEGF administration does not result in beneficial
outcomes following SCI. A) BBB open-field locomotor scores. Animals were scored weekly
by two blinded observers to assess himb-limb locomotion and functional recovery. No
differences in BBB scores were observed between the three injured groups. B) Residual tissue
sparing quantification. HE/LFB staining was performed on tissue sections at 6 weeks post-
injury, and residual tissue area was quantified. Values were normalized to the tissue area of an
uninjured animal, and the graph displays data as a percentage of sham tissue. Among the injured
animals, groups did not show significant differences in spared tissue.
6.6.2 Comparison to Other Vascular Therapies
To assess the effectiveness of a therapy, it must be compared to other similar studies. Multiple
research groups have investigated the role of vascular factors following neurotrauma; however,
very few have applied a vascular therapy as a potential treatment for spinal cord injury. Benton
et al. have administered VEGF165 at 3 days post-injury in a model of contusive SCI, and have
concluded that this therapy exacerbated vascular permeability and lesion volume [354]. In
comparison to AdV-ZFP-VEGF administration that upregulates multiple gene isoforms,
VEGF165 delivery alone is not likely to result in proper vascular formation, which could account
for increase vascular permeability. Moreover, delivery at 3 days post-injury might be too
delayed to provide beneficial effects, effectively missing the therapeutic window.
Bakshi et al. implanted a non-biodegradable scaffold into the spinal cord following transection
injury to provide a physical matrix for vascular regeneration [384]. The authors observed
196
significant angiogenesis in animals with the scaffold; however, the experiments did not include
assessment of functional recovery.
Another study conducted by Kim et al. examined transplanting neural precursor cells (NPC),
which were engineered to over-express VEGF (VEGF-NPC) [385]. This study used a contusion
model that resulted in a comparable injury severity to our model of clip-compression, and
applied a combinatorial approach to VEGF treatment. The data are very promising. In
summary, the results showed a relatively similar increase in expression of VEGF levels
compared to the ZFP-VEGF method of gene activation (Figure 25). However, the additional
transplantation of NPCs resulted in proliferation of the cells into NG2+ cells, ultimately creating
new oligodendrocytes and resulted in replacement of lost/damaged white matter. They also
showed the VEGF-NPC treatment resulted in angiogenesis; the improvements were analogous to
my observations (Figure 30). Functionally, the VEGF-NPC animals improved significantly
compared to other controls, which the authors predominantly attribute to the cell replacement
characteristics of the therapy, but indicate that VEGF over-expression likely played a key role in
cell survival and proliferation of the NPC transplanted cells. VEGF-NPC animals have
improved BBB scores compared to the BBB scores observed following AdV-ZFP-VEGF
administration (Figure 33).
6.6.3 Comparison to Other Neuroprotective Therapies
Decades of research have been dedicated to finding a neuroprotective therapy for spinal cord
injury and countless cellular and drug therapies have been examined. Here I aim to put my data
in perspective against some of the key therapeutics that have shown encouraging results as a
197
treatment for SCI. Overall, the results displayed following delayed AdV-ZFP-VEGF
administration are comparable, if not more robust than other published data in the field.
Riluzole
Riluzole was designed as a Na+ channel blocker, to attenuate pathophysiology associated with
cellular toxicity and subsequent degeneration [196]. In previous research, Schwartz and Fehlings
have shown riluzole to have beneficial effects following traumatic SCI [197]. They show
between 0-25% of grey matter spared by riluzole delivery, depending on the distance from the
lesion epicenter. In contrast, I observed between 18-50% grey matter sparing following AdV-
ZFP-VEGF administration, depending on the distance from the epicenter (Figure 36). Schwartz
and Fehlings demonstrate a significant improvement in BBB scores as a result of riluzole
administration (4 points), whereas my research shows no notable improvements in BBB scores
(Figure 33).
Minocycline
Stirling et al. use minocycline as an anti-inflammatory and neuroprotective agent, since previous
research has shown it to exhibit inhibition of microglial activation and inhibition of caspases,
respectively [386]. In this study, they demonstrate minocycline to have a 30% reduction in
apoptosis, which is not significantly varied from my results, which showed a reduction of
apoptosis by approximately 20% (Figure 26). In this study, they used footprint analysis as an
outcome measure for functional recovery, which is not directly comparable to the methods used
in this thesis; however, they observed an increase in function of approximately 40%, which is a
robust effect, yet less than my observations of close to 50-70% increases in hindlimb recovery as
detected by Catwalk™ analysis (Figure 31 and 32).
198
Methylprednisolone
Weaver et al. used a 35g clip-compression model of SCI at T12 to investigate the effects of
methylprednisolone on SCI recovery [387]. Methylprednisolone is a clinically accepted
treatment for human cases of SCI, and is involved in reducing inflammation and provides anti-
oxidation by reducing lipid peroxidation. In this study, Weaver et al. display that animals treated
with methylprednisolone recover to a maximum BBB score of 8, which is approximately what I
observe following AdV-ZFP-VEGF, albeit the injury model used in my studies was at T6-T7
(Figure 33). Methylprednisolone appears to reduce neuropathic pain; however, the data observed
by Weaver et al. is not as significant as the findings following AdV-ZFP-VEGF (Figure 35), and
their research only indicates that methylprednisolone improves at-level pain and not below-level
pain. Lastly, Weaver et al. demonstrate that methylprednisolone results in significant sparing of
neurofilament compared to injured control animals. In my studies using AdV-ZFP-VEGF I
assess NF200 and tissue sparing, and although these are similar outcome measures, the data
cannot be directly compared. By indirect comparison, it appears that methylprednisolone results
in less significant sparing as compared to AdV-ZFP-VEGF treatment.
6.7 Future Research
6.7.1 Investigating the Glial Scar and Inflammation
Following SCI, a large influx of inflammatory mediators enters the injury site [135]. Early
inflammation is considered to be a beneficial process, since it involves the phagocytosis of
cellular debris and dead/dying cells, which is helpful to “clear” the injury site of unwanted
material [111]. However, persisting inflammation results in the formation of a glial scar around
199
the injury site, which creates a restrictive environment and inhibits endogenous regenerative
processes [115]. Moreover, inflammation may be the source of neuropathic pain, therefore
determining the correct way to modulate inflammatory responses may be key for managing
aberrant pain [115, 171].
The inflammatory response following injury is greatly facilitated and enhanced by the
breakdown of the BSCB [115]. BSCB breakdown triggers a post-traumatic inflammatory
response, which involves the invasion of macrophages and neutrophils. Moreover, both injured
endothelial and glial cells release vasoactive substances (i.e. reactive oxygen molecules, nitric
oxide and histamines) that boost spinal cord blood flow and aid in plasma-derived molecules
entering the cord [118, 388]. Vascular injury – a major factor of the secondary injury
pathophysiology – therefore plays a vital role in initiating and regulating post-traumatic
inflammation. Studies have shown that BSCB/BBB breakdown is maximal 1 day post-CNS
injury, which is consistent with our observations following SCI (Chapter 3) [118, 388].
Moreover, other studies have examined the extent of BSCB breakdown, and demonstrated that
the disruption extends along the axis of the injured spinal cord and, therefore disruption is not
exclusively observed at the site of injury [97, 118, 389]. These findings are also consistent with
our results, as we showed vascular disruption up to 1 mm distal (rostral and caudal) to the injury
epicenter (Figure 19). In the studies presented in this thesis we only examined the BSCB
disruption as it pertained to vascular permeability; however, future studies may wish to critically
examine the role of the BSCB and its involvement in the post-traumatic inflammatory response.
Considering VEGF plays important roles in many in vivo pathways, including vascular
permeability and cellular recruitment [244, 253], it may be interesting to investigate the
200
inflammatory role of AdV-ZFP-VEGF delivery in the spinal cord. In Chapter 3, I define the
spatial and temporal events of vascular damage as it pertains to the injury (no treatment);
however, now that these data are available as a comparison, future studies may wish to examine
how AdV-ZFP-VEGF administration alters BSCB permeability and quantify the acute
inflammation following injection. Results from the 8 week experiments demonstrate spared grey
matter and significant reductions in pain, therefore it seems plausible that in this model of SCI
and vascular gene therapy, VEGF may play a role in mediating neuroinflammation following
injury. For future research, it would be interesting to know: Does AdV-ZFP-VEGF alter glial
scar formation? Choi et al. have examined spinal cord tissue following injury, and
demonstrated that endogenous VEGF plays a role in macrophage/microglia recruitment and
astroglial response [373]. Therefore, it is reasonable to hypothesize that AdV-ZFP-VEGF may
play a role in the inflammatory response and scar formation, although based on the results that I
have shown (displaying beneficial outcomes from AdV-ZFP-VEGF), it is likely that ZFP-VEGF
is modulating or minimizing these events.
6.7.2 Alternative ZFP-VEGF Delivery
Understandably, therapies for spinal cord injury should aim to be minimally invasive. As a
proof-of-concept, I have chosen to administer the AdV-eGFP or AdV-ZFP-VEGF directly into
the spinal cord surrounding the injury site; however, I recognize that this delivery mechanism
may not be ideal. Although not perfect, direct injection into the spinal cord has some advantages
and has been widely used for the delivery of therapeutics and stem cells [76, 390, 391]. Firstly,
this method allows specific and localized delivery of the ZFP-VEGF gene therapy. I have
selected two injections sites two-millimeters rostral and caudal to the injury site to target the
201
penumbra of the injury – a site which is more likely to be rescued by a delayed therapeutic
intervention compared to the injury epicenter. Additionally, direct injections result in rapid
delivery of the therapy, since it is not required to migrate or circulate before reaching the target
tissue. In AdV-eGFP treated groups, I observed decreased NeuN counts, increased TUNEL-
positive cells and a decrease in RECA-1-positive vessels compared to animals which received
only a compression injury (injured control group). These deficits are likely attributable (or at
least in part) to additional damage caused by the intraspinal injections. Importantly, AdV-ZFP-
VEGF treated animals were able to overcome these additional deficits and still show significant
improvement compared to injured control animals. Future experiments will investigate
alternative delivery methods for AdV-ZFP-VEGF, since I hypothesize that VEGF-treated
animals may display even greater histological improvements over control animals if AdV-ZFP-
VEGF were to be administered in a less invasive manner.
One approach I investigated was the use of adeno-associated viruses (AAV) to deliver ZFP-
VEGF in vivo. AAV vectors have some advantages over AdV vectors; namely they evoke a
negligible immune response in the host system [314, 392, 393]. This, obviously, would be a
major benefit for any CNS therapy. However, AAV vectors contain a few characteristics that
make them less than ideal for treating SCI. First, AAV vectors are slow to initiate expression of
their genetic material. In contrast to AdV vectors that stay episomal, AAV vectors integrate into
the host DNA prior to replication, therefore they show a delayed onset of their genes [306, 315].
AAV vectors generally begin expression by 5 days following injection; however, since I was
delaying the administration of AAV-ZFP-VEGF to 24 hours post-SCI, VEGF upregulation may
not have started until 6 days after the injury. In a preliminary experiment, I observed that AAV-
ZFP-VEGF did not provide beneficial effects following SCI (Figure 37). I believe this is due to
202
the delayed onset of VEGF expression, and thus the therapeutic window for intervention was
missed. Secondly, AAV vector integration into the host chromosomes has the potential to
produce genetic mutations and errors. This is a concern for delivering gene therapies, since you
would not want to deliver a treatment at the expense of disrupting the reading frame of the host
DNA. Lastly, integration of AAV vectors into the host can result in permanent genetic
modifications. For this reason, AAV vectors may be ideal for treating hereditary conditions, but
for treating rapid, traumatic injuries, it may be unnecessary and possibly harmful to have long-
term overexpression of a target gene. In particular, long-term overexpression of VEGF may lead
to detrimental effects. In fact, it has been well-established that VEGF plays a key role in tumor
growth and tumor angiogenesis [394].
Future experiments on this project should investigate the use of double-stranded AAV vectors,
which have similar expression kinetics to AdV vectors without evoking inflammation, or
alternatively, non-viral delivery systems such hyaluronic acid and methyl cellulose (HAMC),
which has been shown to be an effective delivery method and inherently neuroprotective [395,
396]. Utilizing HAMC to deliver VEGF has a number of advantages. First, HAMC is injected
into the subarachnoid space, whereas ZFP-VEGF has always been injected 1 mm deep into the
spinal cord. Although I have tried to make each injection minimally invasive, four injections
into the cord undoubtedly results in some physical trauma: adding to the extensive damage
already done by the injury itself. Applying a therapy to the dorsal surface without causing
additional damage the spinal cord would be ideal. Secondly, HAMC has been designed to
degrade over time, and with varying ratios of hyaluronic acid (HA) and methyl cellulose (MC)
the degradation kinetics can be modified. The degradation of HAMC provides a slow,
continuous release of any drug/therapy suspended in the HAMC, which may have therapeutic
203
benefits. Earlier, I discussed a major disadvantage of AAV vectors as resulting in long-term,
permanent delivery, but HAMC may present an option for the constant administration of
therapies over a short period of time (3-5 days post-injury).
6.7.2.1 Implications of AdV and Cyclosporin-A Administration
Using adenoviral vectors for gene therapy are a efficient, rapid, and easy method of inducing
gene expression; however, AdV constructs have inherent disadvantages. AdV vectors have been
shown to initiate an innate immune response in host tissues, activating a non-specific cascade of
cytokines, leukocytes, neutrophils and macrophages [306, 308]. This immune response enhances
the inflammation already occurring as a result of SCI, which may (or may not) exacerbate the
pathophysiology [115, 135]. Potentially, this immune response may stimulate the endogenous
angiogenic response, as inflammation and angiogenesis share common pathways in wound
healing mechanisms and in disease pathology [397-399]. Briefly, inflammation results in the
expression of cytokines and recruitment of macrophages/microglia (which in turn express more
cytokines). MMP’s are expressed and activated also. Endothelial cells respond to this cytokine
expression, and are recruited to the site of inflammation. MMP’s help to destabilize local
vascular structures (i.e. the basement membrane), which promotes branching and remodeling,
ultimately leading to angiogenesis. Based on this, it is therefore possible that using an AdV
vector to deliver ZFP-VEGF, may be stimulating endogenous angiogenic mechanisms.
However, considering AdV-eGFP treated animals show decreases in most outcome measures, it
is not anticipated that delivering an adenovirus significantly contributes to angiogenesis (via
enhanced inflammation) in AdV-ZFP-VEGF treated animals.
204
Aside from the inflammatory response, using a non-viral method of ZFP-VEGF delivery would
be advantageous, since in the current research animals receiving AdV-ZFP-VEGF also received
immune-suppression via cyclosporin-A (CsA). Cyclosporin-A is used in an attempt to reduce
the host response to the viral vector, although CsA most notably blocks T-cell function (adaptive
immunity), which is not the primary immune response initiated by AdV vectors [307]. The
implications of CsA use in vivo are two-fold: a) imunosuppression may diminish a significant
portion of the inflammation caused by the injury, some of which is beneficial and promotes
endogenous recovery (as discussed above) [111], and b) cyclosporin-A has been shown to have
neuroprotective properties [199, 400]. CsA as a neuroprotective agent is a relatively new
concept; however, it has been shown that administration of CsA may act in two potential
mechanisms. First, Diaz-Ruiz et al. have shown that cyclosporin-A decreases lipid peroxidation,
and results in improved functional outcomes [401]. Here they suggest that CsA acts to reduce
the humoral inflammatory response, which decreases the production of free radial/reactive
oxygen species (ROS), which ultimately reduces the lipid peroxidation and degradation of cell
membranes. A second mechanism has been proposed whereby CsA acts to reduce mitochondrial
dysfunction and leads to neuronal survival [402-405]. Following neurotrauma, excess Ca2+ is
released, and in an attempt to maintain homeostasis, mitochondria uptake Ca2+ via a
mitochondrial permeability transition pore (MPTP). Large amounts of Ca2+ inside the
mitochondria decrease the membrane potential, leading to the uncoupling of the electron
transport chain, production of ROS and subsequent production of ATP. This initiates cell death
via necrosis. Alternatively, high concentrations of intra-mitochondrial Ca2+ results in the
activation of caspases and cytochrome C, which are known initiators of apoptosis. CsA has been
shown to inhibit MPTP, which prevents Ca2+ influx, mitochondrial dysfunction, and ultimately
cell (neuronal) death [404, 405].
205
6.7.3 Elucidating the Functional and Sensory Benefits of AdV-ZFP-VEGF
Currently, I have hypothesized that the improved functional outcomes observed in animals
treated with AdV-ZFP-VEGF are likely a result of spared neurons (I observe increased grey
matter sparing), specifically those involved in propriospinal (limb coordination), reticulospinal
(locomotion and weight supported stepping), or spinothalamic (pain) tracts. However, in my
experiments, I only examined white matter and grey matter sparing and did not specifically
analyze individual tracts. In future research, anterograde or retrograde labeling experiments
should be conducted to further understand which ascending and descending pathways are
preserved as a result of AdV-ZFP-VEGF administration.
6.7.4 Imaging Vascular Changes Using a Spinal Cord Window Chamber
Imaging the spinal cord and its vasculature presents additional challenges compared to other
CNS targets. The spinal cord is located deep in the abdomen, making it physically difficult to
access, and the structural organization of the cord is such that the majority of vascular structures
are in the interior grey matter [8, 17]. These anatomical obstacles have made in vivo spinal cord
imaging difficult in the past, often resulting in multiple surgeries to expose the area of interested
for repeated or long-term imaging. To overcome some of these barriers, I was involved in
designing, developing and testing a spinal cord window chamber (SCWC) (See Appendix 2).
The SCWC is surgically implanted into the dorsal skin of an animal following a multi-level
laminectomy, and provides a clear optical window to conduct multimodal imaging in vivo. As
described by Figley et al., implantation of the device does not result in local inflammation or
functional impairment, and the device is compatible for fluorescent and confocal microscopy, as
206
well as Doppler, speckle-variance optical coherence tomography (svOCT) and photoacoustic
imaging. The device was generated in both stainless steel and polycarbonate designs, to allow
for a diverse application and data collection.
Now that the technology has been tested as a proof-of-concept project, future studies should use
this device to monitor vascular changes following traumatic SCI. Sophisticated software and
mathematical algorithms are available to quantify vessels and capillaries, and given the correct
equipment, deep grey matter vessels may be observed in the rat cord. There are two main
advantage to using the SCWC to assess changes following injury. First, each animal can serve as
its individual control, where you quantify the vasculature prior to injury and compare changes
within each animal. Second, from an ethical stand-point, this technology would drastically
reduce the number of animals required in an experiment. Repeated, in vivo imaging would allow
you to monitor the same animal at various time points, instead of sacrificing groups of animals at
designated time-points to examine the vasculature.
6.7.5 Further Investigation of the Blood-Spinal Cord Barrier
My research has provided an initial overview of vascular damage and BSCB disruption that
occurs as a result of traumatic SCI; however, this was by no means an exhaustive study. I
observed that the BSCB is significantly disrupted early on (by 1 hour post-SCI) and remains
significantly open for 5 days. These data provide an aspect of BSCB dysfunction, but what
changes occur at the cellular and molecular level remains unknown. Future studies should focus
on examining the expression and distribution of tight junction and adheren junction proteins to
determine what factors contribute to the BSCB “leakiness”. Furthermore, vascular architecture
207
should be investigated to determine the maturity of vascular structures, such as the extent of
basal lamina deposition, and the association of pericytes and astrocytic endfeet. These data
would provide insightful information and may identify key therapeutic targets that can be
addressed following SCI.
In the current study, I examined BSCB and vascular disruption at 1 and 4 hours, 3, 5, 7, 10, and
14 days post-injury. I selected these time-points as a detailed range of acute time-points;
however, chronic time-points were neglected. Popovich et al. have observed a bi-phasic opening
of the BSCB following SCI, suggesting that peaks of disruption occur at 24 hours and then again
between 14 and 28 days [66]. Future studies should investigate time-points extending past 14
days, to determine the long-term BSCB deficits that result from SCI. Additionally, as previously
suggested in the discussion of Chapter 3, future studies might also wish to consider using a
smaller vascular marker than Evans Blue dye, since its relatively large size may limit the
detection of vascular permeability.
Finally, future research should repeat the BSCB experiments with the addition of AdV-ZFP-
VEGF and AdV-eGFP treated groups. The aim of this project should be to determine what
effects AdV-ZFP-VEGF has on BSCB permeability, if any. The results of this study would be
interesting since varied results have been published on VEGF delivery and vascular
permeability, and both outcomes are plausible based on the diverse properties of VEGF. Patel et
al. published research indicating that VEGF administration improved acute BSCB permeability
[406], while others report VEGF-induced breakdown of the BSCB [288, 379].
208
6.7.6 Multiple Angiogenic Factors as a Potential Treatment Option
Many reports have suggested that a combinatorial approach will be the best chance at curing
spinal cord injury, as no one therapy will be able to adequately target the complex cellular
pathology [193, 407, 408]. It is first important to assess individual treatments in order to
understand their risks and benefits equally; however, once a treatment has been screened for
efficacy and safety, it only seems logical to pair with another therapy that has been shown to be
effective towards another aspect of SCI.
In the current research, I solely examined the administration of VEGF (via a bioengineered
transcription factor) with the aim to promote vascular repair following injury. VEGF, in itself,
could be classified as a “combination approach” since it is involved in diverse cellular pathways
in vivo: hence the basis of its appeal for a SCI therapy. I demonstrated that AdV-ZFP-VEGF
administration results in many beneficial outcomes, with no adverse effects noted. Although
VEGF plays a many important roles in angiogenesis and wound healing, the process of vascular
regeneration is elaborate and coordinated with numerous other factors required [222]. Therefore,
it could be assumed that delivering multiple angiogenic factors would only provide improved
revascularization, whether it increase the rate of growth, improve vessel maturation or promote
necessary branching. A few other researchers have investigated the possibility of combining
VEGF with alternate therapies. Lutton et al. explored the combination therapy of VEGF and
platelet derived growth factor (PDGF) and shown promising outcomes, compared to VEGF
treatment alone [409]. Another attractive research study examined the combination of VEGF
and neural precursor cells (NPC), whereby the NPCs were engineered to over-express and
secrete VEGF in vivo, and the results showed beneficial outcomes following SCI [385]. The
209
possibility of combining VEGF with other treatments is vast, and I believe that a VEGF
combination therapy has scientific merit and should be investigated in future studies.
6.8 Final Conclusions
I have studied the BSCB disruption, vascular damage and endogenous revascularization that
occur following SCI, which presents important temporal and spatial data. These results highlight
the maximal disruption and regenerative processes, and in turn, suggest cellular events and
locations within the cord that could be pharmacologically targeted to enhance recovery.
Maximal BSCB disruption occurs at 24 hours following SCI, therefore drug administration is
likely to be the most effective while the barrier is open. Endogenous angiogenesis occurs
between 3 and 7 days, with maximal endothelial cell proliferation occurring at 5 days post-
injury. With that, I suggest that vascular therapies be administered before 3 days in order to
amplify the endogenous repair processes.
I also studied the acute and long-term effects of 24 hour delayed administration of AdV-ZFP-
VEGF on vascular regeneration, neuroprotection and functional recovery. I observe a number of
beneficial outcomes as a result of AdV-ZFP-VEGF administration, indicating that this therapy
can be delayed to a clinically relevant time point (24 hours post-SCI) and still elicit positive
effects. In general, the data suggest that AdV-ZFP-VEGF could be a suitable candidate for SCI
treatment, although further characterization of the gene therapy may be required. Overall, I
believe that addressing the vascular damage following SCI is an important therapeutic target, and
that VEGF and other vascular therapies are likely to result in promising outcomes following
traumatic injury.
210
References
1. Haisma, J.A., et al., Complications following spinal cord injury: Occurrence and risk factors in a longitudinal study during and after inpatient rehabilitation. Journal of Rehabilitation Medicine, 2007. 39(5): p. 393-398.
2. Sekhon, L.H. and M.G. Fehlings, Epidemiology, demographics, and pathophysiology of acute spinal cord injury. Spine, 2001. 26(24 Suppl): p. S2-S12.
3. Tator, C.H. and M.G. Fehlings, Review of the secondary injury theory of acute spinal cord trauma with emphasis on vascular mechanisms. J Neurosurg, 1991. 75(1): p. 15-26.
4. Beattie, M.S., Inflammation and apoptosis: linked therapeutic targets in spinal cord injury. Trends in Molecular Medicine, 2004. 10(12): p. 580-583.
5. Fehlings, M.G., C.H. Tator, and R.D. Linden, The relationships among the severity of spinal cord injury, motor and somatosensory evoked potentials and spinal cord blood flow. Electroencephalogr Clin Neurophysiol, 1989. 74(4): p. 241-59.
6. Nieuwenhuys, R., J. Voogd, and C. van Huijzen, The Human Central Nervous System: A Synopsis and Atlas. 4th Edition ed2007, Berlin: Springer Berlin Heidelberg. 440.
7. Hooper, S.L., Central Pattern Generators, in eLS2001, John Wiley & Sons, Ltd.
8. Standring, S., Gray's Anatomy: The Anatomical Basis of Clinical Practic, Expert Consult. 40th ed, ed. S. Standring2008: Churchill Livingston Elsevier.
9. Richardson, J. and G.J. Groen, Applied epidural anatomy. Continuing Education in Anaesthesia, Critical Care & Pain, 2005. 5(3): p. 98-100.
10. Bechmann, I., I. Galea, and V.H. Perry, What is the blood brain barrier (not)? Trends in immunology, 2007. 28(1): p. 5-11.
11. Engelhardt, B. and C. Coisne, Fluids and barriers of the CNS establish immune privilege by confining immune surveillance to a two-walled castle moat surrounding the CNS castle. Fluids and Barriers of the CNS, 2011. 8(1): p. 4.
12. Nicholas, D.S. and R.O. Weller, The fine anatomy of the human spinal meninges. Journal of Neurosurgery, 1988. 69(2): p. 276-282.
13. Dommisse, G.F., The Blood Supply of the Spinal Cord: A Critical Vascular Zone in Spinal Surgery. J Bone Joint Surg Br, 1974. 56-B(2): p. 225-235.
14. Mautes, A.E., et al., Vascular Events After Spinal Cord Injury: Contribution to Secondary Pathogenesis. Physical Therapy, 2000. 80(7): p. 673-687.
211
15. Martirosyan, N.L., et al., Blood supply and vascular reactivity of the spinal cord under normal and pathological conditions. Journal of Neurosurgery: Spine, 2011. 15(3): p. 238-251.
16. Shamji, M.F., et al., Circulation of the spinal cord: an important consideration for thoracic surgeons. Ann Thorac Surg, 2003. 76(1): p. 315-321.
17. Goshgarian, H.G., Blood Supply of the Spinal Cord, in Spinal Cord Medicine: Principles and Practice, V.W. Lin, et al., Editors. 2003, Demos Medical Publishing: New York.
18. Jokich, P.M., J.M. Rubin, and G.J. Dohrmann, Intraoperative ultrasonic evaluation of spinal cord motion. Journal of Neurosurgery, 1984. 60(4): p. 707-711.
19. Mikulis, D.J., et al., Oscillatory motion of the normal cervical spinal cord. Radiology, 1994. 192(1): p. 117-121.
20. Feinberg, D.A. and A.S. Mark, Human brain motion and cerebrospinal fluid circulation demonstrated with MR velocity imaging. Radiology, 1987. 163(3): p. 793-799.
21. Enzmann, D.R. and N.J. Pelc, Normal flow patterns of intracranial and spinal cerebrospinal fluid defined with phase-contrast cine MR imaging. Radiology, 1991. 178(2): p. 467-474.
22. Henry-Feugeas, M.C., et al., Origin of subarachnoid cerebrospinal fluid pulsations: a phase-contrast MR analysis. Magn Reson Imaging, 2000. 18(4): p. 387-95.
23. Nitz, W.R., et al., Flow dynamics of cerebrospinal fluid: assessment with phase-contrast velocity MR imaging performed with retrospective cardiac gating. Radiology, 1992. 183(2): p. 395-405.
24. Segal, H.D.a.M.B., Physiology of the CSF and blood brain barriers1996, Boca Ranton: CRC Press.
25. Brodbelt, A.R., et al., Altered subarachnoid space compliance and fluid flow in an animal model of posttraumatic syringomyelia. Spine, 2003. 28(20): p. E413-9.
26. Milhorat, T.H., R.M. Kotzen, and A.P. Anzil, Stenosis of central canal of spinal cord in man: incidence and pathological findings in 232 autopsy cases. J Neurosurg, 1994. 80(4): p. 716-22.
27. Brown, P.D., et al., Molecular mechanisms of cerebrospinal fluid production. Neuroscience, 2004. 129(4): p. 957-70.
28. Jungreis, C.A., et al., Normal perivascular spaces mimicking lacunar infarction: MR imaging. Radiology, 1988. 169(1): p. 101-104.
29. Esiri, M.M. and D. Gay, Immunological and neuropathological significance of the Virchow-Robin space. Journal of the Neurological Sciences, 1990. 100(1–2): p. 3-8.
212
30. Agnati, L.F., et al., Energy gradients for the homeostatic control of brain ECF composition and for VT signal migration: introduction of the tide hypothesis. Journal of Neural Transmission, 2005. 112(1): p. 45-63.
31. Ballabh, P., A. Braun, and M. Nedergaard, The blood-brain barrier: an overview: Structure, regulation, and clinical implications. Neurobiology of Disease, 2004. 16(1): p. 1-13.
32. Lok, J., et al., Cell–cell Signaling in the Neurovascular Unit. Neurochemical Research, 2007. 32(12): p. 2032-2045.
33. Zlokovic, B.V., The Blood-Brain Barrier in Health and Chronic Neurodegenerative Disorders. Neuron, 2008. 57(2): p. 178-201.
34. Cecchelli, R., et al., Modelling of the blood-brain barrier in drug discovery and development. Nature Reviews Drug Discovery, 2007. 6(8): p. 650-661.
35. Francis, K., et al., Innate immunity and brain inflammation: the key role of complement. Expert Reviews in Molecular Medicine, 2003. 5(15): p. 1-19.
36. Förster, C., Tight junctions and the modulation of barrier function in disease. Histochemistry and Cell Biology, 2008. 130(1): p. 55-70.
37. Niessen, C.M., Tight Junctions/Adherens Junctions: Basic Structure and Function. Journal of Investigative Dermatology, 2007. 127(11): p. 2525-2532.
38. Stevenson, B.R., et al., Identification of ZO-1: a high molecular weight polypeptide associated with the tight junction (zonula occludens) in a variety of epithelia. The Journal of Cell Biology, 1986. 103(3): p. 755-766.
39. Schneeberger, E.E. and R.D. Lynch, The tight junction: a multifunctional complex. American Journal of Physiology - Cell Physiology, 2004. 286(6): p. C1213-C1228.
40. Abbott, N.J., L. Ronnback, and E. Hansson, Astrocyte-endothelial interactions at the blood-brain barrier. Nature Reviews Neuroscience, 2006. 7(1): p. 42-53.
41. Koehler, R.C., R.J. Roman, and D.R. Harder, Astrocytes and the regulation of cerebral blood flow. Trends in Neurosciences, 2009. 32(3): p. 160-169.
42. Salmina, A.B., Neuron-Glia Interactions as Therapeutic Targets in Neurodegeneration. Journal of Alzheimer's Disease, 2009. 16(3): p. 485-502.
43. Timpl, R., Structure and biological activity of basement membrane proteins. European Journal of Biochemistry, 1989. 180(3): p. 487-502.
44. Persidsky, Y., et al., Blood–brain Barrier: Structural Components and Function Under Physiologic and Pathologic Conditions. Journal of Neuroimmune Pharmacology, 2006. 1(3): p. 223-236.
213
45. Sá-Pereira, I., D. Brites, and M. Brito, Neurovascular Unit: a Focus on Pericytes. Molecular Neurobiology, 2012. 45(2): p. 327-347.
46. Balabanov, R., et al., CNS Microvascular Pericytes Express Macrophage-like Function, Cell Surface Integrin αM, and Macrophage Marker ED-2. Microvascular Research, 1996. 52(2): p. 127-142.
47. Abbott, N.J., et al., Structure and function of the blood–brain barrier. Neurobiology of Disease, 2010. 37(1): p. 13-25.
48. Bartanusz, V., et al., The blood–spinal cord barrier: Morphology and Clinical Implications. Annals of Neurology, 2011. 70(2): p. 194-206.
49. Burney, R.E., et al., Incidence, characteristics, and outcome of spinal cord injury at trauma centers in North America. Arch Surg, 1993. 128(5): p. 596-9.
50. Spinal Cord Injury Facts and Statistics, 2006, Rick Hansen Spinal Cord Injury Registry.
51. Spinal Cord Injury Facts and Figures at a Glance, 2010, National Spinal Cord Injury Statistical Center: Birmingham, Alabama.
52. One Degree of Separation: Paralysis and Spinal Cord Injury in the United States, 2009, Christopher and Dana Reeve Foundation.
53. Xie, D., et al., An engineered vascular endothelial growth factor-activating transcription factor induces therapeutic angiogenesis in ApoE knockout mice with hindlimb ischemia. J Vasc Surg, 2006. 44(1): p. 166-75.
54. McDonald, J.W. and C. Sadowsky, Spinal-cord injury. Lancet, 2002. 359(9304): p. 417-425.
55. Priebe, M.M., et al., Spinal Cord Injury Medicine. 6. Economic and Societal Issues in Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation, 2007. 88(3): p. S84-S88.
56. Beattie, M.S., Inflammation and apoptosis: linked therapeutic targets in spinal cord injury. Trends Mol Med, 2004. 10(12): p. 580-3.
57. Leypold, B.G., et al., The impact of methylprednisolone on lesion severity following spinal cord injury. Spine, 2007. 32(3): p. 373-8; discussion 379-81.
58. Benton, R.L., et al., Griffonia simplicifolia isolectin B4 identifies a specific subpopulation of angiogenic blood vessels following contusive spinal cord injury in the adult mouse. J Comp Neurol, 2008. 507(1): p. 1031-52.
59. Waxman, S.G., Demyelination of spinal cord injury. Journal of Neuroscience, 1989. 91: p. 1-14.
214
60. Blight, A.R., Delayed demyelination and macrophage invasion: a candidate for secondary cell damage in spinal cord injury. Cent Nerv Syst Trauma, 1985. 2(4): p. 299-315.
61. Nashmi, R. and M.G. Fehlings, Changes in axonal physiology and morphology after chronic compressive injury of the rat thoracic spinal cord. Neuroscience, 2001. 104(1): p. 235-51.
62. Blight, A.R. and V. Decrescito, Morphometric analysis of experimental spinal cord injury in the cat: the relation of injury intensity to survival of myelinated axons. Neuroscience, 1986. 19(1): p. 321-41.
63. Faulkner, J.R., et al., Reactive astrocytes protect tissue and preserve function after spinal cord injury. J Neurosci, 2004. 24(9): p. 2143-55.
64. Preston, E., J. Webster, and D. Small, Characteristics of sustained blood-brain barrier opening and tissue injury in a model for focal trauma in the rat. J Neurotrauma, 2001. 18(1): p. 83-92.
65. Ehlers, M.D., Deconstructing the axon: Wallerian degeneration and the ubiquitin-proteasome system. Trends Neurosci, 2004. 27(1): p. 3-6.
66. Popovich, P.G., et al., A quantitative spatial analysis of the blood-spinal cord barrier. I. Permeability changes after experimental spinal contusion injury. Exp Neurol, 1996. 142(2): p. 258-75.
67. Akhtar, A.Z., J.J. Pippin, and C.B. Sandusky, Animal models in spinal cord injury: a review. Reviews in the neurosciences, 2008. 19(1): p. 47-60.
68. Nystrom, B. and J.E. Berglund, Spinal cord restitution following compression injuries in rats. Acta Neurol Scand, 1988. 78(6): p. 467-72.
69. Tator, C.H., et al., Current use and timing of spinal surgery for management of acute spinal cord injury in North America: results of a retrospective multicenter study. Neurosurgical focus, 1999. 6(1): p. Article 2.
70. LaPlaca, M.C., et al., CNS injury biomechanics and experimental models. Prog Brain Res, 2007. 161: p. 13-26.
71. Maikos, J.T. and D.I. Shreiber, Immediate damage to the blood-spinal cord barrier due to mechanical trauma. J Neurotrauma, 2007. 24(3): p. 492-507.
72. Totoiu, M.O. and H.S. Keirstead, Spinal cord injury is accompanied by chronic progressive demyelination. J Comp Neurol, 2005. 486(4): p. 373-83.
73. Casha, S., W.R. Yu, and M.G. Fehlings, Oligodendroglial apoptosis occurs along degenerating axons and is associated with FAS and p75 expression following spinal cord injury in the rat. Neuroscience, 2001. 103(1): p. 203-18.
215
74. Fehlings, M.G. and C.H. Tator, The relationships among the severity of spinal cord injury, residual neurological function, axon counts, and counts of retrogradely labeled neurons after experimental spinal cord injury. Experimental Neurology, 1995. 132(2): p. 220-228.
75. Karimi-Abdolrezaee, S., E. Eftekharpour, and M.G. Fehlings, Temporal and spatial patterns of Kv1.1 and Kv1.2 protein and gene expression in spinal cord white matter after acute and chronic spinal cord injury in rats: implications for axonal pathophysiology after neurotrauma. Eur J Neurosci, 2004. 19(3): p. 577-89.
76. Karimi-Abdolrezaee, S., et al., Delayed Transplantation of Adult Neural Precursor Cells Promotes Remyelination and Functional Neurological Recovery after Spinal Cord Injury. The Journal of Neuroscience, 2006. 26(13): p. 3377-3389.
77. Ditunno, J.F., Jr., et al., The international standards booklet for neurological and functional classification of spinal cord injury. American Spinal Injury Association. Paraplegia, 1994. 32(2): p. 70-80.
78. El Masry, W.S., et al., Validation of the American Spinal Injury Association (ASIA) Motor Score and the National Acute Spinal Cord Injury Study (NASCIS) Motor Score. Spine, 1996. 21(5): p. 614-619.
79. Waxman, S.G., et al., Sodium channels, excitability of primary sensory neurons, and the molecular basis of pain. Muscle & Nerve, 1999. 22(9): p. 1177-1187.
80. Weaver, L.C. and C. Polosa, Progress in Brain Research: Autonomic Dysfunction After Spinal Cord Injury. Vol. Volume 152. 2005: Elsevier. 472.
81. Schramm, L.P., Spinal sympathetic interneurons: their identification and roles after spinal cord injury. Prog Brain Res, 2006. 152: p. 27-37.
82. Weaver, L.C., et al., Autonomic dysreflexia after spinal cord injury: central mechanisms and strategies for prevention, in Progress in Brain Research, C.W. Lynne and P. Canio, Editors. 2006, Elsevier. p. 245-263.
83. Tator, C.H. and I. Koyanagi, Vascular mechanisms in the pathophysiology of human spinal cord injury. Journal of Neurosurgery, 1997. 86(3): p. 483-492.
84. Dumont, R.J., et al., Acute Spinal Cord Injury, Part I: Pathophysiologic Mechanisms. Clinical Neuropharmacology, 2001. 24(5): p. 254-264.
85. Benzel, E.C., The Cervical Spine. 5th ed2012. 1666.
86. Rowland, J.W., et al., Current status of acute spinal cord injury pathophysiology and emerging therapies: promise on the horizon. Neurosurg Focus, 2008. 25(5): p. E2.
87. Ditunno, J.F., et al., Spinal shock revisited: a four-phase model. Spinal Cord, 2004. 42(7): p. 383-95.
216
88. Aoyama, T., et al., Ultra-early MRI showing no abnormality in a fall victim presenting with tetraparesis. Spinal Cord, 2007. 45(10): p. 695-9.
89. Loy, D.N., et al., Temporal progression of angiogenesis and basal lamina deposition after contusive spinal cord injury in the adult rat. The Journal of Comparative Neurology, 2002. 445(4): p. 308-324.
90. Brockstein, B., L. Johns, and B. Gewertz, Blood supply to the spinal cord: Anatomic and physiologic correlations. Annals of Vascular Surgery, 1994. 8(4): p. 394-399.
91. Whetstone, W.D., et al., Blood-Spinal Cord Barrier After Spinal Cord Injury: Relation to Revascularization and Wound Healing. Journal of Neuroscience Research, 2003. 74(2): p. 227–239.
92. Anthes, D.L., E. Theriault, and C.H. Tator, Ultrastructural evidence for arteriolar vasospasm after spinal cord trauma. Neurosurgery, 1996. 39(4): p. 804-14.
93. Sharma, H.S., Pathophysiology of the blood-spinal cord barrier in traumatic injury, in The blood-spinal cord and brain barriers in health and disease, H.S. Sharma and J. Westman, Editors. 2004, Elsevier Academic Press: San Diego. p. 437-518.
94. Guha, A., C.H. Tator, and J. Rochon, Spinal cord blood flow and systemic blood pressure after experimental spinal cord injury in rats. Stroke, 1989. 20(3): p. 372-7.
95. Guha, A. and C.H. Tator, Acute cardiovascular effects of experimental spinal cord injury. J Trauma, 1988. 28(4): p. 481-90.
96. Smith, Q.R., A Review of Blood-Brain Barrier Transport Techniques, in The Blood-Brain Barrier: Biology and Research Protocols2003. p. 193-208.
97. Noble, L.J. and J.R. Wrathall, Distribution and time course of protein extravasation in the rat spinal cord after contusive injury. Brain Research, 1989. 482(1): p. 57-66.
98. Weis, S.M. and D.A. Cheresh, Pathophysiological consequences of VEGF-induced vascular permeability. Nature, 2005. 437(7058): p. 497-504.
99. Galis, Z.S. and J.J. Khatri, Matrix Metalloproteinases in Vascular Remodeling and Atherogenesis: The Good, the Bad, and the Ugly. Circ Res, 2002. 90(3): p. 251-262.
100. Stys, P.K. and R.M. Lopachin, Mechanisms of calcium and sodium fluxes in anoxic myelinated central nervous system axons. Neuroscience, 1998. 82(1): p. 21-32.
101. Agrawal, S.K. and M.G. Fehlings, Mechanisms of secondary injury to spinal cord axons in vitro: role of Na+, Na(+)-K(+)-ATPase, the Na(+)-H+ exchanger, and the Na(+)-Ca2+ exchanger. J Neurosci, 1996. 16(2): p. 545-52.
102. Park, E., A.A. Velumian, and M.G. Fehlings, The role of excitotoxicity in secondary mechanisms of spinal cord injury: a review with an emphasis on the implications for white matter degeneration. J Neurotrauma, 2004. 21(6): p. 754-74.
217
103. Agrawal, S.K., R. Nashmi, and M.G. Fehlings, Role of L- and N-type calcium channels in the pathophysiology of traumatic spinal cord white matter injury. Neuroscience, 2000. 99(1): p. 179-88.
104. McAdoo, D.J., et al., Changes in amino acid concentrations over time and space around an impact injury and their diffusion through the rat spinal cord. Exp Neurol, 1999. 159(2): p. 538-44.
105. Liu, D., et al., Neurotoxicity of glutamate at the concentration released upon spinal cord injury. Neuroscience, 1999. 93(4): p. 1383-9.
106. Anderson, D.K., et al., Spinal cord energy metabolism following compression trauma to the feline spinal cord. J Neurosurg, 1980. 53(3): p. 375-80.
107. Banik, N.L., et al., Increased calpain content and progressive degradation of neurofilament protein in spinal cord injury. Brain Res, 1997. 752(1-2): p. 301-6.
108. Schumacher, P.A., R.G. Siman, and M.G. Fehlings, Pretreatment with calpain inhibitor CEP-4143 inhibits calpain I activation and cytoskeletal degradation, improves neurological function, and enhances axonal survival after traumatic spinal cord injury. J Neurochem, 2000. 74(4): p. 1646-55.
109. Luo, J., et al., Detection of reactive oxygen species by flow cytometry after spinal cord injury. J Neurosci Methods, 2002. 120(1): p. 105-12.
110. Xiong, Y., A.G. Rabchevsky, and E.D. Hall, Role of peroxynitrite in secondary oxidative damage after spinal cord injury. J Neurochem, 2007. 100(3): p. 639-49.
111. Donnelly, D.J. and P.G. Popovich, Inflammation and its role in neuroprotection, axonal regeneration and functional recovery after spinal cord injury. Exp Neurol, 2008. 209(2): p. 378-88.
112. Bao, F. and D. Liu, Peroxynitrite generated in the rat spinal cord induces apoptotic cell death and activates caspase-3. Neuroscience, 2003. 116(1): p. 59-70.
113. Carlson, S.L., et al., Acute inflammatory response in spinal cord following impact injury. Exp Neurol, 1998. 151(1): p. 77-88.
114. Popovich, P.G., P. Wei, and B.T. Stokes, Cellular inflammatory response after spinal cord injury in Sprague-Dawley and Lewis rats. J Comp Neurol, 1997. 377(3): p. 443-64.
115. Hausmann, O.N., Post-traumatic inflammation following spinal cord injury. Spinal Cord, 2003. 41(7): p. 369-78.
116. Watanabe, T., et al., Differential activation of microglia after experimental spinal cord injury. J Neurotrauma, 1999. 16(3): p. 255-65.
117. Fleming, J.C., et al., The cellular inflammatory response in human spinal cords after injury. Brain, 2006. 129(Pt 12): p. 3249-69.
218
118. Schnell, L., et al., Acute inflammatory responses to mechanical lesions in the CNS: differences between brain and spinal cord. European Journal of Neuroscience, 1999. 11(10): p. 3648-3658.
119. Taoka, Y., et al., Role of neutrophils in spinal cord injury in the rat. Neuroscience, 1997. 79(4): p. 1177-82.
120. Saville, L.R., et al., A monoclonal antibody to CD11d reduces the inflammatory infiltrate into the injured spinal cord: a potential neuroprotective treatment. J Neuroimmunol, 2004. 156(1-2): p. 42-57.
121. Stirling, D.P., et al., Depletion of Ly6G/Gr-1 leukocytes after spinal cord injury in mice alters wound healing and worsens neurological outcome. J Neurosci, 2009. 29(3): p. 753-64.
122. Bonfoco, E., et al., Apoptosis and necrosis: two distinct events induced, respectively, by mild and intense insults with N-methyl-D-aspartate or nitric oxide/superoxide in cortical cell cultures. Proc Natl Acad Sci U S A, 1995. 92(16): p. 7162-6.
123. Majno, G. and I. Joris, Apoptosis, oncosis, and necrosis. An overview of cell death. Am J Pathol, 1995. 146(1): p. 3-15.
124. Keane, R.W., et al., Apoptotic and anti-apoptotic mechanisms following spinal cord injury. J Neuropathol Exp Neurol, 2001. 60(5): p. 422-9.
125. Lou, J., et al., Apoptosis as a mechanism of neuronal cell death following acute experimental spinal cord injury. Spinal Cord, 1998. 36(10): p. 683-90.
126. Weerasinghe, P. and L.M. Buja, Oncosis: An important non-apoptotic mode of cell death. Experimental and Molecular Pathology, 2012. 93(3): p. 302-308.
127. Crowe, M.J., et al., Apoptosis and delayed degeneration after spinal cord injury in rats and monkeys. Nat Med, 1997. 3(1): p. 73-6.
128. Ellis, R.E., J.Y. Yuan, and H.R. Horvitz, Mechanisms and functions of cell death. Annu Rev Cell Biol, 1991. 7: p. 663-98.
129. Ling, X. and D. Liu, Temporal and spatial profiles of cell loss after spinal cord injury: Reduction by a metalloporphyrin. Journal of Neuroscience Research, 2007. 85(10): p. 2175-2185.
130. Liu, X.Z., et al., Neuronal and Glial Apoptosis after Traumatic Spinal Cord Injury. The Journal of Neuroscience, 1997. 17(14): p. 5395-5406.
131. Levine, J.M., R. Reynolds, and J.W. Fawcett, The oligodendrocyte precursor cell in health and disease. Trends in Neurosciences, 2001. 24(1): p. 39-47.
219
132. Karimi-Abdolrezaee, S., et al., Delayed transplantation of adult neural precursor cells promotes remyelination and functional neurological recovery after spinal cord injury. J Neurosci, 2006. 26(13): p. 3377-89.
133. Keirstead, H.S., Human embryonic stem cell-derived oligodendrocyte progenitor cell transplants remyelinate and restore locomotion after spinal cord injury. J. Neurosci., 2005. 25: p. 4694-4705.
134. Xiao, M., et al., Human adult olfactory neural progenitors rescue axotomized rodent rubrospinal neurons and promote functional recovery. Exp Neurol, 2005. 194(1): p. 12-30.
135. Blight, A.R., Macrophages and inflammatory damage in spinal cord injury. J Neurotrauma, 1992. 9 Suppl 1: p. S83-91.
136. Kigerl, K.A., et al., Identification of two distinct macrophage subsets with divergent effects causing either neurotoxicity or regeneration in the injured mouse spinal cord. J Neurosci, 2009. 29(43): p. 13435-44.
137. Mabon, P.J., L.C. Weaver, and G.A. Dekaban, Inhibition of monocyte/macrophage migration to a spinal cord injury site by an antibody to the integrin alphaD: a potential new anti-inflammatory treatment. Exp Neurol, 2000. 166(1): p. 52-64.
138. Jones, T.B., E.E. McDaniel, and P.G. Popovich, Inflammatory-mediated injury and repair in the traumatically injured spinal cord. Curr Pharm Des, 2005. 11(10): p. 1223-36.
139. Popovich, P.G., The neuropathological and behavioral consequences of intraspinal microglial/macrophage activation. J. Neuropathol. Exp. Neurol., 2002. 61: p. 623-633.
140. Popovich, P.G., Immunological regulation of neuronal degeneration and regeneration in the injured spinal cord. Prog Brain Res, 2000. 128: p. 43-58.
141. Moalem, G., et al., Production of neurotrophins by activated T cells: implications for neuroprotective autoimmunity. J Autoimmun, 2000. 15(3): p. 331-45.
142. Schwartz, M., et al., Innate and adaptive immune responses can be beneficial for CNS repair. Trends Neurosci, 1999. 22(7): p. 295-9.
143. Liu, X.Z., et al., Neuronal and glial apoptosis after traumatic spinal cord injury. J Neurosci, 1997. 17(14): p. 5395-406.
144. Springer, J.E., R.D. Azbill, and P.E. Knapp, Activation of the caspase-3 apoptotic cascade in traumatic spinal cord injury. Nat Med, 1999. 5(8): p. 943-6.
145. McEwen, M.L. and J.E. Springer, A mapping study of caspase-3 activation following acute spinal cord contusion in rats. J Histochem Cytochem, 2005. 53(7): p. 809-19.
220
146. Brazda, N. and H.W. Muller, Pharmacological modification of the extracellular matrix to promote regeneration of the injured brain and spinal cord. Prog Brain Res, 2009. 175: p. 269-81.
147. Kakulas, B.A., Neuropathology: the foundation for new treatments in spinal cord injury. Spinal Cord, 2004. 42(10): p. 549-63.
148. Jones, L.L., R.U. Margolis, and M.H. Tuszynski, The chondroitin sulfate proteoglycans neurocan, brevican, phosphacan, and versican are differentially regulated following spinal cord injury. Exp Neurol, 2003. 182(2): p. 399-411.
149. Hagg, T. and M. Oudega, Degenerative and spontaneous regenerative processes after spinal cord injury. J Neurotrauma, 2006. 23(3-4): p. 264-80.
150. Bradbury, E.J., Chondroitinase ABC promotes functional recovery after spinal cord injury. Nature, 2002. 416: p. 636-640.
151. Loy, D.N., et al., Temporal progression of angiogenesis and basal lamina deposition after contusive spinal cord injury in the adult rat. J Comp Neurol, 2002. 445(4): p. 308-24.
152. Buss, A., et al., Growth-modulating molecules are associated with invading Schwann cells and not astrocytes in human traumatic spinal cord injury. Brain, 2007. 130(Pt 4): p. 940-53.
153. Jones, L.L., et al., NG2 is a major chondroitin sulfate proteoglycan produced after spinal cord injury and is expressed by macrophages and oligodendrocyte progenitors. J Neurosci, 2002. 22(7): p. 2792-803.
154. Sandvig, A., et al., Myelin-, reactive glia-, and scar-derived CNS axon growth inhibitors: expression, receptor signaling, and correlation with axon regeneration. Glia, 2004. 46(3): p. 225-51.
155. Shen, Y., et al., PTPsigma is a receptor for chondroitin sulfate proteoglycan, an inhibitor of neural regeneration. Science, 2009. 326(5952): p. 592-6.
156. Weiss, S., et al., Multipotent CNS stem cells are present in the adult mammalian spinal cord and ventricular neuroaxis. J Neurosci, 1996. 16(23): p. 7599-609.
157. Yamamoto, S., et al., Proliferation of parenchymal neural progenitors in response to injury in the adult rat spinal cord. Exp Neurol, 2001. 172(1): p. 115-27.
158. McTigue, D.M., P. Wei, and B.T. Stokes, Proliferation of NG2-positive cells and altered oligodendrocyte numbers in the contused rat spinal cord. J Neurosci, 2001. 21(10): p. 3392-400.
159. Sellers, D.L., D.O. Maris, and P.J. Horner, Postinjury niches induce temporal shifts in progenitor fates to direct lesion repair after spinal cord injury. J Neurosci, 2009. 29(20): p. 6722-33.
221
160. Watt, S.M., et al., Human endothelial stem/progenitor cells, angiogenic factors and vascular repair. Journal of The Royal Society Interface, 2010. 7(Suppl 6): p. S731-S751.
161. Hill, C.E., M.S. Beattie, and J.C. Bresnahan, Degeneration and sprouting of identified descending supraspinal axons after contusive spinal cord injury in the rat. Exp Neurol, 2001. 171(1): p. 153-69.
162. Horner, P.J., Proliferation and differentiation of progenitor cells throughout the intact adult rat spinal cord. J. Neurosci., 2000. 20: p. 2218-2228.
163. Kakulas, B.A., A review of the neuropathology of human spinal cord injury with emphasis on special features. J. Spinal Cord Med., 1999. 22: p. 119-124.
164. Brodbelt, A.R. and M.A. Stoodley, Post-traumatic syringomyelia: a review. Journal of Clinical Neuroscience, 2003. 10(4): p. 401-408.
165. Williams, B., Pathogenesis of post-traumatic syringomyelia. Br J Neurosurg, 1992. 6(6): p. 517-20.
166. Perrouin-Verbe, B., et al., Post-traumatic syringomyelia and post-traumatic spinal canal stenosis: a direct relationship: review of 75 patients with a spinal cord injury. Spinal Cord, 1998. 36(2): p. 137-43.
167. Schwartz, E.D., et al., Posttraumatic syringomyelia: pathogenesis, imaging, and treatment. AJR Am J Roentgenol, 1999. 173(2): p. 487-92.
168. Stoodley, M.A., Pathophysiology of syringomyelia. J Neurosurg, 2000. 92(6): p. 1069-70; author reply 1071-3.
169. Klekamp, J., et al., Disturbances of cerebrospinal fluid flow attributable to arachnoid scarring cause interstitial edema of the cat spinal cord. Neurosurgery, 2001. 48(1): p. 174-85; discussion 185-6.
170. Klekamp, J., et al., Treatment of syringomyelia associated with arachnoid scarring caused by arachnoiditis or trauma. J Neurosurg, 1997. 86(2): p. 233-40.
171. Hulsebosch, C.E., et al., Mechanisms of chronic central neuropathic pain after spinal cord injury. Brain Res Rev, 2009. 60(1): p. 202-13.
172. Gwak, Y.S. and C.E. Hulsebosch, Remote astrocytic and microglial activation modulates neuronal hyperexcitability and below-level neuropathic pain after spinal injury in rat. Neuroscience, 2009. 161(3): p. 895-903.
173. Bruce, J.C., M.A. Oatway, and L.C. Weaver, Chronic pain after clip-compression injury of the rat spinal cord. Exp Neurol, 2002. 178(1): p. 33-48.
174. Werhagen, L., et al., Neuropathic pain after traumatic spinal cord injury--relations to gender, spinal level, completeness, and age at the time of injury. Spinal Cord, 2004. 42(12): p. 665-73.
222
175. Bao, F., et al., An integrin inhibiting molecule decreases oxidative damage and improves neurological function after spinal cord injury. Exp Neurol, 2008. 214(2): p. 160-7.
176. Gwak, Y.S., et al., Propentofylline attenuates allodynia, glial activation and modulates GABAergic tone after spinal cord injury in the rat. Pain, 2008. 138(2): p. 410-22.
177. McKinley, W.O., R.T. Seel, and J.T. Hardman, Nontraumatic spinal cord injury: Incidence, epidemiology, and functional outcome. Archives of Physical Medicine and Rehabilitation, 1999. 80(6): p. 619-623.
178. New, P.W. and V. Sundararajan, Incidence of non-traumatic spinal cord injury in Victoria, Australia: a population-based study and literature review. Spinal Cord, 2007. 46(6): p. 406-411.
179. Ones, K., et al., Comparison of functional results in non-traumatic and traumatic spinal cord injury. Disability and Rehabilitation, 2007. 29(15): p. 1185-1191.
180. BOHLMAN, H.H. and S.E. EMERY, The Pathophysiology of Cervical Spondylosis and Myelopathy. Spine, 1988. 13(7): p. 843-846.
181. Baptiste, D.C. and M.G. Fehlings, Pharmacological approaches to repair the injured spinal cord. J. Neurotrauma, 2006. 23: p. 318-334.
182. Richardson, P.M., U.M. McGuinness, and A.J. Aguayo, Axons from CNS grafts regenerate into PNS grafts. Nature, 1980. 284: p. 264-265.
183. Lee, Y.S., et al., Motor recovery and anatomical evidence of axonal regrowth in spinal cord-repaired adult rats. J. Neuropathol. Exp. Neurol., 2004. 63: p. 233-245.
184. Takami, T., Schwann cell but not olfactory ensheathing glia transplants improve hindlimb locomotor performance in the moderately contused adult rat thoracic spinal cord. J. Neurosci., 2002. 22: p. 6670-6681.
185. Cummings, B.J., Human neural stem cells differentiate and promote locomotor recovery in spinal cord-injured mice. Proc. Natl Acad. Sci. USA, 2005. 102: p. 14069-14074.
186. Karimi-Abdolrezaee, S., et al., Delayed transplantation of adult neural precursor cells promotes remyelination and functional neurological recovery after spinal cord injury. J. Neurosci., 2006. 26: p. 3377-3389.
187. Keirstead, H.S., et al., Human Embryonic Stem Cell-Derived Oligodendrocyte Progenitor Cell Transplants Remyelinate and Restore Locomotion after Spinal Cord Injury. J. Neurosci., 2005. 25(19): p. 4694-4705.
188. Pollack, A., Geron Is Shutting Down Its Stem Cell Clinical Trial, in The New York Times2011: New York.
189. StemCells Inc.: Clinical Trials. 2012 November 10, 2012; Available from: http://www.stemcellsinc.com/Therapeutic-Programs/Clinical-Trials.htm.
223
190. StemCells, I. StemCells, Inc. Completes Enrollment of First Cohort in Landmark Chronic Spinal Cord Injury Trial. 2011.
191. ReNeuron Update on stroke clinical trial. 2011.
192. Health, U.S.N.I.o., TotipotentRX Cell Therapy Pvt. Ltd.: NCT01490242, C. Trials, Editor 2013, U.S. National Institutes of Health and National Library of Medicine.
193. Thuret, S., L.D.F. Moon, and F.H. Gage, Therapeutic interventions after spinal cord injury. Nature Reviews Neuroscience, 2006. 7(8): p. 628-643.
194. Stirling, D.P., Minocycline treatment reduces delayed oligodendrocyte death, attenuates axonal dieback, and improves functional outcome after spinal cord injury. J. Neurosci., 2004. 24: p. 2182-2190.
195. Nógrádi, A., et al., Delayed riluzole treatment is able to rescue injured rat spinal motoneurons. Neuroscience, 2007. 144(2): p. 431-438.
196. Stutzmann, J.M., et al., The effect of riluzole on post-traumatic spinal cord injury in the rat. Neuroreport, 1996. 7(2): p. 387-392.
197. Schwartz, G. and M.G. Fehlings, Evaluation of the neuroprotective effects of sodium channel blockers after spinal cord injury: improved behavioral and neuroanatomical recovery with riluzole. Journal of Neurosurgery: Spine, 2001. 94(2): p. 245-256.
198. Kaptanoglu, E., et al., Erythropoietin exerts neuroprotection after acute spinal cord injury in rats: effect on lipid peroxidation and early ultrastructural findings. Neurosurgical Review, 2004. 27(2): p. 113-120.
199. Rabchevsky, A.G., et al., Cyclosporin A Treatment Following Spinal Cord Injury to the Rat: Behavioral Effects and Stereological Assessment of Tissue Sparing. Journal of Neurotrauma, 2001. 18(5): p. 513-522.
200. Koda, M., et al., Granulocyte colony-stimulating factor (G-CSF) mobilizes bone marrow-derived cells into injured spinal cord and promotes functional recovery after compression-induced spinal cord injury in mice. Brain Research, 2007. 1149(0): p. 223-231.
201. Park, H.C., et al., Treatment of complete spinal cord injury patients by autologous bone marrow cell transplantation and administration of granulocyte-macrophage colony stimulating factor. Tissue Eng, 2005. 11(5-6): p. 913-22.
202. Borgens, R.B., R. Shi, and D. Bohnert, Behavioral recovery from spinal cord injury following delayed application of polyethylene glycol. Journal of Experimental Biology, 2002. 205(1): p. 1-12.
203. Luo, J., R. Borgens, and R. Shi, Polyethylene glycol immediately repairs neuronal membranes and inhibits free radical production after acute spinal cord injury. Journal of Neurochemistry, 2002. 83(2): p. 471-480.
224
204. Baptiste, D.C., et al., Systemic Polyethylene Glycol Promotes Neurological Recovery and Tissue Sparing in Rats After Cervical Spinal Cord Injury. Journal of Neuropathology & Experimental Neurology, 2009. 68(6): p. 661-676 10.1097/NEN.0b013e3181a72605.
205. Kwon, B.K., et al., Hypothermia for spinal cord injury. The spine journal : official journal of the North American Spine Society, 2008. 8(6): p. 859-874.
206. Dietrich, W.D., 3rd, Therapeutic hypothermia for spinal cord injury. Crit Care Med, 2009. 37(7 Suppl).
207. Dietrich, W.D., et al., Hypothermic Treatment for Acute Spinal Cord Injury. Neurotherapeutics, 2011. 8(2): p. 229-239.
208. Levi, A.D., et al., Clinical application of modest hypothermia after spinal cord injury. J Neurotrauma, 2009. 26(3): p. 407-15.
209. Lo, T.P., et al., Systemic hypothermia improves histological and functional outcome after cervical spinal cord contusion in rats. The Journal of Comparative Neurology, 2009. 514(5): p. 433-448.
210. Yu, C.G., et al., Beneficial effects of modest systemic hypothermia on locomotor function and histopathological damage following contusion-induced spinal cord injury in rats. Journal of Neurosurgery: Spine, 2000. 93(1): p. 85-93.
211. Rosenstein, J.M. and J.M. Krum, New roles for VEGF in nervous tissue--beyond blood vessels. Experimental Neurology, 2004. 187(2): p. 246-253.
212. Liu, Y., et al., An engineered transcription factor which activates VEGF-A enhances recovery after spinal cord injury. Neurobiology of Disease, 2010. 37(2): p. 384-393.
213. Faulkner, J.R., et al., Reactive Astrocytes Protect Tissue and Preserve Function after Spinal Cord Injury. J. Neurosci., 2004. 24(9): p. 2143-2155.
214. Noble, L.J., et al., Matrix Metalloproteinases Limit Functional Recovery after Spinal Cord Injury by Modulation of Early Vascular Events. J. Neurosci., 2002. 22(17): p. 7526-7535.
215. Engesser-Cesar, C., et al., Voluntary wheel running improves recovery from a moderate spinal cord injury. J. Neurotrauma, 2005. 22: p. 157-171.
216. Bouyer, L.J., Animal models for studying potential training strategies in persons with spinal cord injury. J. Neurol. Phys. Ther., 2005. 29: p. 117-125.
217. Edgerton, V.R., et al., Rehabilitative therapies after spinal cord injury. J. Neurotrauma, 2006. 23: p. 560-570.
218. Raineteau, O. and M.E. Schwab, Plasticity of motor systems after incomplete spinal cord injury. Nature Rev. Neurosci., 2001. 2: p. 263-273.
225
219. Nash, M.S., Exercise as a health-promoting activity following spinal cord injury. J. Neurol. Phys. Ther., 2005. 29: p. 87-103.
220. Otrock, Z.K., et al., Understanding the biology of angiogenesis: Review of the most important molecular mechanisms. Blood Cells, Molecules, and Diseases, 2007. 39(2): p. 212-220.
221. Patan, S., Vasculogenesis and Angiogenesis
Angiogenesis in Brain Tumors, M. Kirsch and P.M. Black, Editors. 2004, Springer US. p. 3-32.
222. Carmeliet, P., Mechanisms of angiogenesis and arteriogenesis. Nature Medicine, 2000. 6(4): p. 389-395.
223. Fong, G.H., et al., Increased hemangioblast commitment, not vascular disorganization, is the primary defect in flt-1 knock-out mice. Development, 1999. 126(13): p. 3015-3025.
224. Ferrara, N., Role of vascular endothelial growth factor in the regulation of angiogenesis. Kidney International, 1999. 56(3): p. 794-814.
225. Schmidt, A., K. Brixius, and W. Bloch, Endothelial Precursor Cell Migration During Vasculogenesis. Circulation Research, 2007. 101(2): p. 125-136.
226. Hendrix, M.J.C., et al., Vasculogenic mimicry and tumour-cell plasticity: lessons from melanoma. Nature Reviews Cancer, 2003. 3(6): p. 411-421.
227. Ribatti, D., et al., Postnatal vasculogenesis. Mechanisms of Development, 2001. 100(2): p. 157-163.
228. Thurston, G., et al., Leakage-Resistant Blood Vessels in Mice Transgenically Overexpressing Angiopoietin-1. Science, 1999. 286(5449): p. 2511-2514.
229. Gale, N.W. and G.D. Yancopoulos, Growth factors acting via endothelial cell-specific receptor tyrosine kinases: VEGFs, Angiopoietins, and ephrins in vascular development. Genes & Development, 1999. 13(9): p. 1055-1066.
230. Maisonpierre, P.C., et al., Angiopoietin-2, a Natural Antagonist for Tie2 That Disrupts in vivo Angiogenesis. Science, 1997. 277(5322): p. 55-60.
231. Stetler-Stevenson, W.G., Matrix metalloproteinases in angiogenesis: a moving target for therapeutic intervention. The Journal of Clinical Investigation, 1999. 103(9): p. 1237-1241.
232. Suri, C., et al., Increased Vascularization in Mice Overexpressing Angiopoietin-1. Science, 1998. 282(5388): p. 468-471.
233. Peters, K.G., et al., Functional Significance of Tie2 Signaling in the Adult Vasculature. Recent Prog Horm Res, 2004. 59(1): p. 51-71.
226
234. Chavakis, E. and S. Dimmeler, Regulation of Endothelial Cell Survival and Apoptosis During Angiogenesis. Arteriosclerosis, Thrombosis, and Vascular Biology, 2002. 22(6): p. 887-893.
235. Byrne, A.M., D.J. Bouchier-Hayes, and J.H. Harmey, Angiogenic and cell survival functions of Vascular Endothelial Growth Factor (VEGF). Journal of Cellular and Molecular Medicine, 2005. 9(4): p. 777-794.
236. Nowak, D.G., et al., Expression of pro- and anti-angiogenic isoforms of VEGF is differentially regulated by splicing and growth factors. Journal of Cell Science, 2008. 121(20): p. 3487-3495.
237. Drake, C.J., D.A. Cheresh, and C.D. Little, An antagonist of integrin alpha v beta 3 prevents maturation of blood vessels during embryonic neovascularization. Journal of Cell Science, 1995. 108(7): p. 2655-2661.
238. Tolsma, S.S., M.S. Stack, and N. Bouck, Lumen Formation and Other Angiogenic Activities of Cultured Capillary Endothelial Cells Are Inhibited by Thrombospondin-1. Microvascular Research, 1997. 54(1): p. 13-26.
239. Ferrara, N., H.-P. Gerber, and J. LeCouter, The biology of VEGF and its receptors. Nature Medicine, 2003. 9(6): p. 669-676.
240. Greenberg, D.A. and K. Jin, From angiogenesis to neuropathology. Nature, 2005. 438(7070): p. 954-9.
241. Shweiki, D., et al., Vascular endothelial growth factor induced by hypoxia may mediate hypoxia-initiated angiogenesis. Nature, 1992. 359(6398): p. 843-5.
242. Zachary, I. and G. Gliki, Signaling transduction mechanisms mediating biological actions of the vascular endothelial growth factor family. Cardiovasc Res, 2001. 49(3): p. 568-81.
243. Harper, S.J. and D.O. Bates, VEGF-A splicing: the key to anti-angiogenic therapeutics? Nature Reviews Cancer, 2008. 8(11): p. 880-887.
244. Leung, D.W., et al., Vascular endothelial growth factor is a secreted angiogenic mitogen. Science, 1989. 246(4935): p. 1306-9.
245. Marti, H.H., Vascular endothelial growth factor. Adv Exp Med Biol, 2002. 513: p. 375-94.
246. Neufeld, G., et al., The Neuropilins: Multifunctional Semaphorin and VEGF Receptors that Modulate Axon Guidance and Angiogenesis. Trends in Cardiovascular Medicine, 2002. 12(1): p. 13-19.
247. Sondell, M., G. Lundborg, and M. Kanje, Vascular endothelial growth factor has neurotrophic activity and stimulates axonal outgrowth, enhancing cell survival and
227
Schwann cell proliferation in the peripheral nervous system. J Neurosci, 1999. 19(14): p. 5731-40.
248. Ortega, N., F.-E. L'Faqihi, and J. Plouet, Control of vascular endothelial growth factor angiogenic activity by the extracellular matrix. Biology of the Cell, 1998. 90: p. 381-390.
249. Sondell, M., F. Sundler, and M. Kanje, Vascular endothelial growth factor is a neurotrophic factor which stimulates axonal outgrowth through the flk-1 receptor. European Journal of Neuroscience, 2000. 12(12): p. 4243-4254.
250. Sondell, M., G. Lundborg, and M. Kanje, Vascular endothelial growth factor stimulates Schwann cell invasion and neovascularization of acellular nerve grafts. Brain Research, 1999. 846(2): p. 219-228.
251. Clauss, M., et al., Vascular permeability factor: a tumor-derived polypeptide that induces endothelial cell and monocyte procoagulant activity, and promotes monocyte migration. The Journal of Experimental Medicine, 1990. 172(6): p. 1535-1545.
252. Klagsbrun, M. and P. A. D'Amore, Vascular endothelial growth factor and its receptors. Cytokine & Growth Factor Reviews, 1996. 7(3): p. 259-270.
253. Cross, M.J., et al., VEGF-receptor signal transduction. Trends in Biochemical Sciences, 2003. 28(9): p. 488-494.
254. Svensson, B., et al., Vascular endothelial growth factor protects cultured rat hippocampal neurons against hypoxic injury via an antiexcitotoxic, caspase-independent mechanism. J Cereb Blood Flow Metab, 2002. 22(10): p. 1170-5.
255. Hoeben, A., et al., Vascular Endothelial Growth Factor and Angiogenesis. Pharmacological Reviews, 2004. 56(4): p. 549-580.
256. Katoh, O., et al., Expression of the Vascular Endothelial Growth Factor (VEGF) Receptor Gene, KDR, in Hematopoietic Cells and Inhibitory Effect of VEGF on Apoptotic Cell Death Caused by Ionizing Radiation. Cancer Research, 1995. 55(23): p. 5687-5692.
257. Shalaby, F., et al., Failure of blood-island formation and vasculogenesis in Flk-1-deficient mice. Nature, 1995. 376(6535): p. 62-66.
258. Gerber, H.-P., et al., Vascular Endothelial Growth Factor Regulates Endothelial Cell Survival through the Phosphatidylinositol 3′-Kinase/Akt Signal Transduction Pathway: REQUIREMENT FOR Flk-1/KDR ACTIVATION. Journal of Biological Chemistry, 1998. 273(46): p. 30336-30343.
259. Gerber, H.-P., V. Dixit, and N. Ferrara, Vascular Endothelial Growth Factor Induces Expression of the Antiapoptotic Proteins Bcl-2 and A1 in Vascular Endothelial Cells. Journal of Biological Chemistry, 1998. 273(21): p. 13313-13316.
260. Fulton, D., et al., Regulation of endothelium-derived nitric oxide production by the protein kinase Akt. Nature, 1999. 399(6736): p. 597-601.
228
261. Dimmeler, S., et al., Activation of nitric oxide synthase in endothelial cells by Akt-dependent phosphorylation. Nature, 1999. 399(6736): p. 6001-605.
262. Rousseau, S., et al., p38 MAP kinase activation by vascular endothelial growth factor mediates actin reorganization and cell migration in human endothelial cells. Oncogene, 1997. 15(18): p. 2169-2177.
263. Qi, J.H. and L. Claesson-Welsh, VEGF-Induced Activation of Phosphoinositide 3-Kinase Is Dependent on Focal Adhesion Kinase. Experimental Cell Research, 2001. 263(1): p. 173-182.
264. Eliceiri, B.P., et al., Selective Requirement for Src Kinases during VEGF-Induced Angiogenesis and Vascular Permeability. Molecular Cell, 1999. 4(6): p. 915-924.
265. Soker, S., et al., Neuropilin-1 Is Expressed by Endothelial and Tumor Cells as an Isoform-Specific Receptor for Vascular Endothelial Growth Factor. Cell, 1998. 92(6): p. 735-745.
266. Gitay-Goren, H., et al., The binding of vascular endothelial growth factor to its receptors is dependent on cell surface-associated heparin-like molecules. Journal of Biological Chemistry, 1992. 267(9): p. 6093-8.
267. Ferrara, N. and T. Davis-Smyth, The Biology of Vascular Endothelial Growth Factor. Endocrine Reviews, 1997. 18(1): p. 4-25.
268. Ikeda, E., et al., Hypoxia-induced Transcriptional Activation and Increased mRNA Stability of Vascular Endothelial Growth Factor in C6 Glioma Cells. Journal of Biological Chemistry, 1995. 270(34): p. 19761-19766.
269. Levy, A.P., N.S. Levy, and M.A. Goldberg, Post-transcriptional Regulation of Vascular Endothelial Growth Factor by Hypoxia. Journal of Biological Chemistry, 1996. 271(5): p. 2746-2753.
270. Levy, A.P., et al., Transcriptional Regulation of the Rat Vascular Endothelial Growth Factor Gene by Hypoxia. Journal of Biological Chemistry, 1995. 270(22): p. 13333-13340.
271. Wang, G.L., et al., Hypoxia-inducible factor 1 is a basic-helix-loop-helix-PAS heterodimer regulated by cellular O2 tension. Proceedings of the National Academy of Sciences, 1995. 92(12): p. 5510-5514.
272. Salceda, S. and J. Caro, Hypoxia-inducible Factor 1α (HIF-1α) Protein Is Rapidly Degraded by the Ubiquitin-Proteasome System under Normoxic Conditions: ITS STABILIZATION BY HYPOXIA DEPENDS ON REDOX-INDUCED CHANGES. Journal of Biological Chemistry, 1997. 272(36): p. 22642-22647.
273. Pugh, C.W. and P.J. Ratcliffe, The von Hippel–Lindau tumor suppressor, hypoxia-inducible factor-1 (HIF-1) degradation, and cancer pathogenesis. Seminars in Cancer Biology, 2003. 13(1): p. 83-89.
229
274. Maxwell, P.H., et al., The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis. Nature, 1999. 399(6733): p. 271-275.
275. Ruohola, J.K., et al., Vascular endothelial growth factors are differentially regulated by steroid hormones and antiestrogens in breast cancer cells. Molecular and Cellular Endocrinology, 1999. 149(1–2): p. 29-40.
276. Hyder, S.M. and G.M. Stancel, Regulation of Angiogenic Growth Factors in the Female Reproductive Tract by Estrogens and Progestins. Molecular Endocrinology, 1999. 13(6): p. 806-811.
277. Hyder, S.M., et al., Uterine Expression of Vascular Endothelial Growth Factor Is Increased by Estradiol and Tamoxifen. Cancer Research, 1996. 56(17): p. 3954-3960.
278. Lee, M.-Y., et al., Expression of vascular endothelial growth factor mRNA following transient forebrain ischemia in rats. Neuroscience Letters, 1999. 265(2): p. 107-110.
279. Bartholdi, D., B.P. Rubin, and M.E. Schwab, VEGF mRNA Induction Correlates With Changes in the Vascular Architecture Upon Spinal Cord Damage in the Rat. European Journal of Neuroscience, 1997. 9(12): p. 2549-2560.
280. Ma, Y., et al., Effects of vascular endothelial growth factor in ischemic stroke. Journal of Neuroscience Research, 2012. 90(10): p. 1873-1882.
281. Skold, M.K., et al., VEGF and VEGF Receptor Expression after Experimental Brain Contusion in Rat. Journal of Neurotrauma, 2005. 22(3): p. 353-367.
282. Sun, Y., et al., VEGF-induced neuroprotection, neurogenesis, and angiogenesis after focal cerebral ischemia. The Journal of Clinical Investigation, 2003. 111(12): p. 1843-1851.
283. Fitch, M.T. and J. Silver, Activated Macrophages and the Blood–Brain Barrier: Inflammation after CNS Injury Leads to Increases in Putative Inhibitory Molecules. Experimental Neurology, 1997. 148(2): p. 587-603.
284. McGraw, J., G.W. Hiebert, and J.D. Steeves, Modulating astrogliosis after neurotrauma. Journal of Neuroscience Research, 2001. 63(2): p. 109-115.
285. Jin, K.L., X.O. Mao, and D.A. Greenberg, Vascular endothelial growth factor: direct neuroprotective effect in in vitro ischemia. Proc Natl Acad Sci U S A, 2000. 97(18): p. 10242-7.
286. Jin, K.L., et al., Induction of vascular endothelial growth factor and hypoxia-inducible factor-1α by global ischemia in rat brain. Neuroscience, 2000. 99(3): p. 577-585.
287. Issa, R., et al., Vascular endothelial growth factor and its receptor, KDR, in human brain tissue after ischemic stroke. Laboratory investigation; a journal of technical methods and pathology, 1999. 79(4): p. 417-425.
230
288. Tsao, M.N., et al., Upregulation of Vascular Endothelial Growth Factor Is Associated with Radiation-Induced Blood-Spinal Cord Barrier Breakdown. Journal of Neuropathology & Experimental Neurology, 1999. 58(10): p. 1051-1060.
289. Vaquero, J., et al., Vascular endothelial growth/permeability factor in spinal cord injury. Journal of Neurosurgery: Spine, 1999. 90(2): p. 220-223.
290. Monacci, W.T., M.J. Merrill, and E.H. Oldfield, Expression of vascular permeability factor/vascular endothelial growth factor in normal rat tissues. American Journal of Physiology - Cell Physiology, 1993. 264(4): p. C995-C1002.
291. Peters, K.G., C. De Vries, and L.T. Williams, Vascular endothelial growth factor receptor expression during embryogenesis and tissue repair suggests a role in endothelial differentiation and blood vessel growth. Proceedings of the National Academy of Sciences, 1993. 90(19): p. 8915-8919.
292. Krum, J.M. and J.M. Rosenstein, VEGF mRNA and Its Receptor flt-1 Are Expressed in Reactive Astrocytes Following Neural Grafting and Tumor Cell Implantation in the Adult CNS. Experimental Neurology, 1998. 154(1): p. 57-65.
293. Krum, J.M. and J.M. Rosenstein, Transient Coexpression of Nestin, GFAP, and Vascular Endothelial Growth Factor in Mature Reactive Astroglia Following Neural Grafting or Brain Wounds. Experimental Neurology, 1999. 160(2): p. 348-360.
294. Papavassiliou, E., et al., Vascular endothelial growth factor (vascular permeability factor) expression in injured rat brain. Journal of Neuroscience Research, 1997. 49(4): p. 451-460.
295. Cobbs, C.S., et al., Vascular endothelial growth factor expression in transient focal cerebral ischemia in the rat. Neuroscience Letters, 1998. 249(2–3): p. 79-82.
296. Lennmyr, F., et al., Expression of vascular endothelial growth factor (VEGF) and its receptors (Flt-1 and Flk-1) following permanent and transient occlusion of the middle cerebral artery in the rat. Journal of Neuropathology and Experimental Neurology, 1998. 57(9): p. 874-882.
297. Wang, Y., et al., VEGF-overexpressing transgenic mice show enhanced post-ischemic neurogenesis and neuromigration. J Neurosci Res, 2007. 85(4): p. 740-7.
298. Widenfalk, J., et al., Vascular endothelial growth factor improves functional outcome and decreases secondary degeneration in experimental spinal cord contusion injury. Neuroscience, 2003. 120(4): p. 951-60.
299. Kaneko, S., et al., A selective Sema3A inhibitor enhances regenerative responses and functional recovery of the injured spinal cord. Nat Med, 2006. 12(12): p. 1380-1389.
300. Ohab, J.J., et al., A Neurovascular Niche for Neurogenesis after Stroke. J. Neurosci., 2006. 26(50): p. 13007-13016.
231
301. Peters, M.C., P.J. Polverini, and D.J. Mooney, Engineering vascular networks in porous polymer matrices. Journal of Biomedical Materials Research, 2002. 60(4): p. 668-678.
302. Raab, S. and K. Plate, Different networks, common growth factors: shared growth factors and receptors of the vascular and the nervous system. Acta Neuropathologica, 2007. 113(6): p. 607-626.
303. Bearden, S.E. and S.S. Segal, Neurovascular Alignment in Adult Mouse Skeletal Muscles. Microcirculation, 2005. 12(2): p. 161-167.
304. Gene Therapy, 2011, Human Genome Project.
305. Volpers, C. and S. Kochanek, Chapter 8: Viral Gene Transfer into Endothelial Cells, in Methods In Endothelial Cell Biology, H.G. Augustin, Editor 2004, Springer Verlag. p. 73-82.
306. Stewart, P.L., Chapter 1: Adenovirus Structure, in Adenoviral Vectors for Gene Therapy, D.T. Curiel and J.T. Douglas, Editors. 2002, Elsevier Science. p. 1-18.
307. Laupacis, A., et al., Cyclosporin A: a powerful immunosuppressant. Canadian Medical Association Journal, 1982. 126(9): p. 1041-1046.
308. Chirmule, N., et al., Immune responses to adenovirus and adeno-associated virus in humans. Gene Therapy, 1999. 6(9): p. 1574-1583.
309. Davidson, B.L. and X.O. Breakefield, Viral vectors for gene delivery to the nervous system. Nature Reviews Neuroscience, 2003. 4(5): p. 353-364.
310. Grieger, J. and R. Samulski, Adeno-associated Virus as a Gene Therapy Vector: Vector Development, Production and Clinical Applications, in Gene Therapy and Gene Delivery Systems, D. Schaffer and W. Zhou, Editors. 2005, Springer Berlin / Heidelberg. p. 119-145.
311. Surosky, R.T., et al., Adeno-associated virus Rep proteins target DNA sequences to a unique locus in the human genome. Journal of Virology, 1997. 71(10): p. 7951-9.
312. Lu, Y., Recombinant Adeno-Associated Virus As Delivery Vector for Gene Therapy—A Review. Stem Cells and Development, 2004. 13(1): p. 133-145.
313. Fischer, A.C., et al., Successful transgene expression with serial doses of aerosolized rAAV2 vectors in rhesus macaques. Molecular Therapy, 2003. 8(6): p. 918-926.
314. Nicklin, S.A., et al., Efficient and Selective AAV2-Mediated Gene Transfer Directed to Human Vascular Endothelial Cells. Molecular Therapy, 2001. 4: p. 174–181.
315. Bartlett, J.S., R.J. Samulski, and T.J. McCown, Selective and Rapid Uptake of Adeno-Associated Virus Type 2 in Brain. Human Gene Therapy, 1998. 9(8): p. 1181-1186.
232
316. Rebar, E.J., et al., Induction of angiogenesis in a mouse model using engineered transcription factors. Nat Med, 2002. 8(12): p. 1427-32.
317. Siddiq, I., et al., Treatment of Traumatic Brain Injury Using Zinc-Finger Protein Gene Therapy Targeting VEGF-A. Journal of Neurotrauma, 2012. Online: ahead of print.
318. Dai, Q., et al., Engineered zinc finger-activating vascular endothelial growth factor transcription factor plasmid DNA induces therapeutic angiogenesis in rabbits with hindlimb ischemia. Circulation, 2004. 110(16): p. 2467-75.
319. Yu, J., et al., An engineered VEGF-activating zinc finger protein transcription factor improves blood flow and limb salvage in advanced-age mice. Faseb J, 2006. 20(3): p. 479-81.
320. Li, Y., et al., In mice with type 2 diabetes, a vascular endothelial growth factor (VEGF)-activating transcription factor modulates VEGF signaling and induces therapeutic angiogenesis after hindlimb ischemia. Diabetes, 2007. 56(3): p. 656-65.
321. Price, S.A., et al., Gene transfer of an engineered transcription factor promoting expression of VEGF-A protects against experimental diabetic neuropathy. Diabetes, 2006. 55(6): p. 1847-54.
322. Siddiq, I., Upregulation of VEGF-A using Engineered Zinc Finger Protein Gene Therapy Increases Cell Survival After Lateral Fluid Percussion Injury in Rats, in Institute of Medical Science2011, University of Toronto: Toronto.
323. Tator, C.H. and M.G. Fehlings, Review of the secondary injury theory of acute spinal cord trauma with emphasis on vascular mechanisms. Journal of Neurosurgery, 1991. 75(1): p. 15-26.
324. Glaser, J., et al., Neutralization of the chemokine CXCL10 reduces apoptosis and increases axon sprouting after spinal cord injury. Journal of Neuroscience Research, 2006. 84(4): p. 724-734.
325. Kaneko, S., et al., A selective Sema3A inhibitor enhances regenerative responses and functional recovery of the injured spinal cord. Nature Medicine, 2006. 12(12): p. 1380-1389.
326. Yoshihara, T., et al., Neuroprotective Effect of Bone Marrow–Derived Mononuclear Cells Promoting Functional Recovery from Spinal Cord Injury. Journal of Neurotrauma, 2007. 24(6): p. 1026-1036.
327. Fawcett, J.W. and R.A. Asher, The glial scar and central nervous system repair. Brain Research Bulletin, 1999. 49(6): p. 377-391.
328. Bonkowski, D., et al., The CNS microvascular pericyte: pericyte-astrocyte crosstalk in the regulation of tissue survival. Fluids and Barriers of the CNS, 2011. 8(1): p. 8.
233
329. Azzouz, M., et al., VEGF delivery with retrogradely transported lentivector prolongs survival in a mouse ALS model. Nature, 2004. 429(6990): p. 413-417.
330. Lambrechts, D., et al., VEGF is a modifier of amyotrophic lateral sclerosis in mice and humans and protects motoneurons against ischemic death. Nat Genet, 2003. 34(4): p. 383-394.
331. Siddiq, I., et al., Treatment of Traumatic Brain Injury Using Zinc-Finger Protein Gene Therapy Targeting VEGF-A. J Neurotrauma, 2012.
332. Hobson, M.I., C.J. Green, and G. Terenghi, VEGF enhances intraneural angiogenesis and improves nerve regeneration after axotomy. Journal of Anatomy, 2000. 197(4): p. 591-605.
333. Kim, H.M., et al., VEGF Delivery by Neural Stem Cells Enhances Proliferation of Glial Progenitors, Angiogenesis, and Tissue Sparing after Spinal Cord Injury. PLoS ONE, 2009. 4(3): p. e4987.
334. Liu, P.Q., et al., Regulation of an endogenous locus using a panel of designed zinc finger proteins targeted to accessible chromatin regions. Activation of vascular endothelial growth factor A. J Biol Chem, 2001. 276(14): p. 11323-34.
335. Ikeda, Y., M. Wang, and S. Nakazawa, Simple quantitative evaluation of blood-brain barrier disruption in vasogenic brain edema. Acta neurochirurgica. Supplementum, 1994. 60: p. 119-120.
336. Saria, A. and J.M. Lundberg, Evans blue fluorescence: quantitative and morphological evaluation of vascular permeability in animal tissues. Journal of Neuroscience Methods, 1983. 8(1): p. 41-49.
337. Basso, D.M., M.S. Beattie, and J.C. Bresnahan, A sensitive and reliable locomotor rating scale for open field testing in rats. J Neurotrauma, 1995. 12(1): p. 1-21.
338. Koopmans, G.C., et al., The assessment of locomotor function in spinal cord injured rats: the importance of objective analysis of coordination. J Neurotrauma, 2005. 22(2): p. 214-25.
339. Hamers, F.P., G.C. Koopmans, and E.A. Joosten, CatWalk-assisted gait analysis in the assessment of spinal cord injury. J Neurotrauma, 2006. 23(3-4): p. 537-48.
340. Gensel, J.C., et al., Behavioral and histological characterization of unilateral cervical spinal cord contusion injury in rats. J Neurotrauma, 2006. 23(1): p. 36-54.
341. Fehlings, M.G., et al., Motor evoked potentials recorded from normal and spinal cord-injured rats. Neurosurgery, 1987. 20(1): p. 125-130.
342. Nashmi, R., et al., Serial recording of somatosensory and myoelectric motor evoked potentials: role in assessing functional recovery after graded spinal cord injury in the rat. J Neurotrauma, 1997. 14(3): p. 151-9.
234
343. Holm, S., A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 1979. 6(2): p. 65-70.
344. Glantz, S.A., Primer of Biostatistics. Sixth ed2005: McGraw-Hill Companies,Inc. 520.
345. Holtz, A., B. Nystrom, and B. Gerdin, Relation between spinal cord blood flow and functional recovery after blocking weight-induced spinal cord injury in rats. Neurosurgery, 1990. 26(6): p. 952-7.
346. Ohab, J.J., et al., A Neurovascular Niche for Neurogenesis after Stroke. The Journal of Neuroscience, 2006. 26(50): p. 13007-13016.
347. Bearden, S.E. and S.S. Segal, Microvessels Promote Motor Nerve Survival and Regeneration Through Local VEGF Release Following Ectopic Reattachment. Microcirculation, 2004. 11(8): p. 633-644.
348. Casella, G.T.B., et al., New Vascular Tissue Rapidly Replaces Neural Parenchyma and Vessels Destroyed by a Contusion Injury to the Rat Spinal Cord. Experimental Neurology, 2002. 173(1): p. 63-76.
349. Schumacher, P.A., J.H. Eubanks, and M.G. Fehlings, Increased calpain I-mediated proteolysis, and preferential loss of dephosphorylated NF200, following traumatic spinal cord injury. Neuroscience, 1999. 91(2): p. 733-744.
350. von Euler, M., Å. Seiger, and E. Sundström, Clip Compression Injury in the Spinal Cord: A Correlative Study of Neurological and Morphological Alterations. Experimental Neurology, 1997. 145(2): p. 502-510.
351. Grossman, S.D., L.J. Rosenberg, and J.R. Wrathall, Temporal-Spatial Pattern of Acute Neuronal and Glial Loss after Spinal Cord Contusion. Experimental Neurology, 2001. 168(2): p. 273-282.
352. Noble, L.J. and J.R. Wrathall, Blood-spinal cord barrier disruption proximal to a spinal cord transection in the rat: Time course and pathways associated with protein leakage. Experimental Neurology, 1988. 99(3): p. 567-578.
353. Noble, L.J. and J.R. Wrathall, The blood-spinal cord barrier after injury: pattern of vascular events proximal and distal to a transection in the rat. Brain Research, 1987. 424(1): p. 177-188.
354. Benton, R.L. and S.R. Whittemore, VEGF165 therapy exacerbates secondary damage following spinal cord injury. Neurochem Res, 2003. 28(11): p. 1693-703.
355. Gruner, J.A., A monitored contusion model of spinal cord injury in the rat. Journal of Neurotrauma, 1992. 9(2): p. 123-126.
356. Rivlin, A.S. and C.H. Tator, Regional spinal cord blood flow in rats after severe cord trauma. Journal of Neurosurgery, 1978. 49(6): p. 844-853.
235
357. Sandler, A.N. and C.H. Tator, Effect of acute spinal cord compression injury on regional spinal cord blood flow in primates. Journal of Neurosurgery, 1976. 45(6): p. 660-676.
358. Fehlings, M.G. and C.H. Tator, The relationships among the severity of spinal cord injury, residual neurological function, axon counts, and counts of retrogradely labeled neurons after experimental spinal cord injury. Exp Neurol, 1995. 132(2): p. 220-8.
359. Choi, U.H., et al., Hypoxia-inducible expression of vascular endothelial growth factor for the treatment of spinal cord injury in a rat model. J Neurosurg Spine, 2007. 7(1): p. 54-60.
360. Facchiano, F., et al., Promotion of regeneration of corticospinal tract axons in rats with recombinant vascular endothelial growth factor alone and combined with adenovirus coding for this factor. J Neurosurg, 2002. 97(1): p. 161-8.
361. Dijkers, M., T. Bryce, and J. Zanca, Prevalence of chronic pain after traumatic spinal cord injury: A systematic review. Journal of Rehabilitation Research & Development 2009. 46(1): p. 13-30.
362. Nesic, O., et al., Vascular Endothelial Growth Factor and Spinal Cord Injury Pain. Journal of Neurotrauma, 2010. 27(10): p. 1793-1803.
363. Fehlings, M.G. and R.G. Perrin, The Timing of Surgical Intervention in the Treatment of Spinal Cord Injury: A Systematic Review of Recent Clinical Evidence. Spine, 2006. 31(11S (Supplement)): p. S28-S35.
364. Bracken, M.B., et al., A Randomized, Controlled Trial of Methylprednisolone or Naloxone in the Treatment of Acute Spinal-Cord Injury. New England Journal of Medicine, 1990. 322(20): p. 1405-1411.
365. Flynn, J.R., et al., The role of propriospinal interneurons in recovery from spinal cord injury. Neuropharmacology, 2011. 60(5): p. 809-822.
366. Pearse, D.D., et al., cAMP and Schwann cells promote axonal growth and functional recovery after spinal cord injury. Nature Medicine, 2004. 10(6): p. 610-616.
367. Ballermann, M. and K. Fouad, Spontaneous locomotor recovery in spinal cord injured rats is accompanied by anatomical plasticity of reticulospinal fibers. European Journal of Neuroscience, 2006. 23(8): p. 1988-1996.
368. Defrin, R., et al., Characterization of chronic pain and somatosensory function in spinal cord injury subjects. Pain, 2001. 89(2-3): p. 253-263.
369. Österberg, A. and J. Boivie, Central pain in multiple sclerosis – Sensory abnormalities. European Journal of Pain, 2010. 14(1): p. 104-110.
370. Xu, X.J., et al., Chronic pain-related syndrome in rats after ischemic spinal cord lesion: a possible animal model for pain in patients with spinal cord injury. Pain, 1992. 48(2): p. 279-290.
236
371. Vierck Jr, C.J., P. Siddall, and R.P. Yezierski, Pain following spinal cord injury: animal models and mechanistic studies. Pain, 2000. 89(1): p. 1-5.
372. Hoheisel, U., et al., Pathophysiological activity in rat dorsal horn neurones in segments rostral to a chronic spinal cord injury. Brain Research, 2003. 974(1–2): p. 134-145.
373. Choi, J.-S., et al., Upregulation of Vascular Endothelial Growth Factor Receptors Flt-1 and Flk-1 Following Acute Spinal Cord Contusion in Rats. Journal of Histochemistry & Cytochemistry, 2007. 55(8): p. 821-830.
374. Nör, J.E., et al., Vascular endothelial growth factor (VEGF)-mediated angiogenesis is associated with enhanced endothelial cell survival and induction of Bcl-2 expression. The American journal of pathology, 1999. 154(2): p. 375-384.
375. Keyt, B.A., et al., The carboxyl-terminal domain (111-165) of vascular endothelial growth factor is critical for its mitogenic potency. J Biol Chem, 1996. 271(13): p. 7788-95.
376. Fassbender, J., S. Whittemore, and T. Hagg, Targeting Microvasculature for Neuroprotection after SCI. Neurotherapeutics, 2011. 8(2): p. 240-251.
377. Ohab, J.J., et al., A neurovascular niche for neurogenesis after stroke. Journal of Neuroscience, 2006. 26(50): p. 13007-13016.
378. Neufeld, G., O. Kessler, and Y. Herzog, The Interaction of Neuropilin-1 and Neuropilin-2 with Tyrosine-Kinase Receptors for VEGF, D. Bagnard, Editor 2003, Springer US. p. 81-90.
379. Zhang, Z.G., et al., VEGF enhances angiogenesis and promotes blood-brain barrier leakage in the ischemic brain. J Clin Invest, 2000. 106(7): p. 829-38.
380. Sun, Y., et al., VEGF-induced neuroprotection, neurogenesis, and angiogenesis after focal cerebral ischemia. J Clin Invest, 2003. 111(12): p. 1843-51.
381. Ng, Y.S., et al., Differential expression of VEGF isoforms in mouse during development and in the adult. Developmental Dynamics, 2001. 220(2): p. 112-121.
382. Barleon, B., et al., Migration of human monocytes in response to vascular endothelial growth factor (VEGF) is mediated via the VEGF receptor flt-1. Blood, 1996. 87(8): p. 3336-3343.
383. Schratzberger, P., et al., Reversal of experimental diabetic neuropathy by VEGF gene transfer. The Journal of Clinical Investigation, 2001. 107(9): p. 1083-1092.
384. Bakshi, A., et al., Mechanically engineered hydrogel scaffolds for axonal growth and angiogenesis after transplantation in spinal cord injury. Journal of Neurosurgery: Spine, 2004. 1(3): p. 322-329.
237
385. Kim, H.M., et al., Ex Vivo VEGF Delivery by Neural Stem Cells Enhances Proliferation of Glial Progenitors, Angiogenesis, and Tissue Sparing after Spinal Cord Injury. PLoS ONE, 2009. 4(3): p. e4987.
386. Stirling, D.P., et al., Minocycline Treatment Reduces Delayed Oligodendrocyte Death, Attenuates Axonal Dieback, and Improves Functional Outcome after Spinal Cord Injury. The Journal of Neuroscience, 2004. 24(9): p. 2182-2190.
387. Weaver, L.C., et al., Methylprednisolone Causes Minimal Improvement after Spinal Cord Injury in Rats, Contrasting with Benefits of an Anti-Integrin Treatment. Journal of Neurotrauma, 2005. 22(12): p. 1375-1387.
388. Pan, W. and A.J. Kastin, Increase in TNFα Transport after SCI Is Specific for Time, Region, and Type of Lesion. Experimental Neurology, 2001. 170(2): p. 357-363.
389. Klusman, I. and M.E. Schwab, Effects of pro-inflammatory cytokines in experimental spinal cord injury. Brain Research, 1997. 762(1): p. 173-184.
390. Yezierski, R.P., et al., Neuronal Damage Following Intraspinal Injection of a Nitric Oxide Synthase Inhibitor in the Rat. J Cereb Blood Flow Metab, 1996. 16(5): p. 996-1004.
391. Azzouz, M., et al., Increased motoneuron survival and improved neuromuscular function in transgenic ALS mice after intraspinal injection of an adeno-associated virus encoding Bcl-2. Human Molecular Genetics, 2000. 9(5): p. 803-811.
392. Burger, C., et al., Recombinant AAV viral vectors pseudotyped with viral capsids from serotypes 1, 2, and 5 display differential efficiency and cell tropism after delivery to different regions of the central nervous system. Mol Ther, 2004. 10(2): p. 302-17.
393. Madsen, D., et al., Adeno-associated virus serotype 2 induces cell-mediated immune responses directed against multiple epitopes of the capsid protein VP1. Journal of General Virology, 2009. 90(11): p. 2622-2633.
394. Hicklin, D.J. and L.M. Ellis, Role of the Vascular Endothelial Growth Factor Pathway in Tumor Growth and Angiogenesis. Journal of Clinical Oncology, 2005. 23(5): p. 1011-1027.
395. Austin, J.W., et al., The effects of intrathecal injection of a hyaluronan-based hydrogel on inflammation, scarring and neurobehavioural outcomes in a rat model of severe spinal cord injury associated with arachnoiditis. Biomaterials, 2012. 33(18): p. 4555-4564.
396. Kang, C.E., et al., A New Paradigm for Local and Sustained Release of Therapeutic Molecules to the Injured Spinal Cord for Neuroprotection and Tissue Repair. Tissue Engineering, 2008. 15(3): p. 595-604.
397. Naldini, A. and F. Carraro, Role of inflammatory mediators in angiogenesis. Curr Drug Targets Inflamm Allergy, 2005. 4(1): p. 3-8.
238
398. Imhof, B.A. and M. Aurrand-Lions, Angiogenesis and inflammation face off. Nature Medicine, 2006. 12(2): p. 171-172.
399. Folkman, J., W. Li, and R. Casey, Inflammation and Angiogenesis, in Progress in Immunology, F. Melchers, et al., Editors. 1989, Springer Berlin Heidelberg. p. 761-764.
400. McMahon, S.S., et al., Effect of cyclosporin A on functional recovery in the spinal cord following contusion injury. J Anat, 2009. 215(3): p. 267-79.
401. Diaz-Ruiz, A., et al., Cyclosporin-A inhibits lipid peroxidation after spinal cord injury in rats. Neuroscience Letters, 1999. 266(1): p. 61-64.
402. Sullivan, P.G., et al., Dose-response curve and optimal dosing regimen of cyclosporin A after traumatic brain injury in rats. Neuroscience, 2000. 101(2): p. 289-295.
403. Sullivan, P.G., et al., Mitochondrial permeability transition in CNS trauma: Cause or effect of neuronal cell death? Journal of Neuroscience Research, 2005. 79(1-2): p. 231-239.
404. Okonkwo, D.O., et al., Cyclosporin A limits calcium-induced axonal damage following traumatic brain injury. Neuroreport, 1999. 10(2): p. 353-358.
405. Scheff, S.W. and P.G. Sullivan, Cyclosporin A significantly ameliorates cortical damage following experimental traumatic brain injury in rodents. J Neurotrauma, 1999. 16(9): p. 783-92.
406. Patel, C.B., et al., Effect of VEGF Treatment on the Blood-Spinal Cord Barrier Permeability in Experimental Spinal Cord Injury: Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Journal of Neurotrauma, 2009. 26(7): p. 1005-1016.
407. Bunge, M.B., Book Review: Bridging Areas of Injury in the Spinal Cord. The Neuroscientist, 2001. 7(4): p. 325-339.
408. Hari Shanker, S., Neurotrophic Factors in Combination: A Possible new Therapeutic Strategy to Influence Pathophysiology of Spinal Cord Injury and Repair Mechanisms. Current Pharmaceutical Design, 2007. 13(18): p. 1841-1874.
409. Lutton, C., et al., Combined VEGF and PDGF Treatment Reduces Secondary Degeneration after Spinal Cord Injury. Journal of Neurotrauma, 2012. 29(5): p. 957-970.
239
Neurobiology of Disease 37 (2010) 384–393
Contents lists available at ScienceDirect
Neurobiology of Disease
j ourna l homepage: www.e lsev ie r.com/ locate /ynbd i
An engineered transcription factor which activates VEGF-A enhances recovery afterspinal cord injury
Yang Liu a, Sarah Figley a,d, S. Kaye Spratt b, Gary Lee b, Dale Ando b,Richard Surosky b, Michael G. Fehlings a,c,d,⁎a Department of Genetics and Development, Toronto Western Research Institute, and Spinal Program, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canadab Department of Therapeutic Development, Sangamo BioSciences, Pt. Richmond, CA, USAc Department of Surgery, University of Toronto, Ontario, Canadad Institute of Medical Sciences, University of Toronto, Ontario, Canada
⁎ Corresponding author. Division of Neurosurgery,Development, University Health Network, University4WW-449, Toronto, ON, Canada M5T 2S8. Fax: +1 416
E-mail address: [email protected] (M.G. FAvailable online on ScienceDirect (www.scienced
0969-9961/$ – see front matter © 2009 Elsevier Inc. Adoi:10.1016/j.nbd.2009.10.018
a b s t r a c t
a r t i c l e i n f oArticle history:Received 8 May 2009Revised 9 October 2009Accepted 22 October 2009Available online 29 October 2009
Keywords:SCIZFP-VEGFAngiogenesisNeuroprotectionMolecular therapy
Spinal cord injury (SCI) leads to local vascular disruption and progressive ischemia, which contribute tosecondary degeneration. Enhancing angiogenesis through the induction of vascular endothelial growthfactor (VEGF)-A expression therefore constitutes an attractive therapeutic approach. Moreover, emergingevidence suggests that VEGF-A may also exhibit neurotrophic, neuroprotective, and neuroproliferativeeffects. Building on this previous work, we seek to examine the potential therapeutic benefits of anengineered zinc finger protein (ZFP) transcription factor designed to activate expression of all isoforms ofendogenous VEGF-A (ZFP-VEGF). Administration of ZFP-VEGF resulted in increased VEGF-A mRNA andprotein levels, an attenuation of axonal degradation, a significant increase in vascularity and decreased levelsof apoptosis. Furthermore, ZFP-VEGF treated animals showed significant improvements in tissuepreservation and neurobehavioural outcomes. These data suggest that activation of VEGF-A via theadministration of an engineered ZFP transcription factor holds promise as a therapy for SCI and potentiallyother forms of neurotrauma.
© 2009 Elsevier Inc. All rights reserved.
Introduction
Spinal cord injury (SCI) is a leading cause of death and neurologicaldisability. The pathophysiology of SCI involves a primary mechanicalinjury followed by a series of secondary molecular and cellular events(Fehlings et al., 1989). Compromised blood flow, hemorrhage, cordcompression, intravascular thrombosis, and vasospasm contribute toischemia, which initiates events that impair angiogenesis, amongother reparative processes (Tator and Fehlings, 1991). Angiogenicfactors, such as vascular endothelial growth factor (VEGF)-A, promotethe proliferation of vascular endothelial cells and angiogenesis(Shweiki et al., 1992). Emerging evidence suggests that VEGF-A alsohas neurotrophic, neuroprotective, and neuroproliferative effects(Greenberg and Jin, 2005). VEGF-A is a homodimeric glycoproteinthat is expressed as multiple splice variants encoded by a single gene(Leung et al., 1989). The most common and best-studied isoforms inthe central nervous system are VEGF121, VEGF165 and VEGF189.Increased expression of VEGF-A and its receptors during hypoxic/
and Division of Genetics andof Toronto, 399 Bathurst St.603 5745.ehlings).irect.com).
ll rights reserved.
24
ischemic injury to the brain and spinal cord suggests that VEGF-Acould play a neuroprotective role in these pathophysiologicalprocesses. Previous approaches using VEGF-A have relied on theintroduction of a single splice isoform of VEGF-A, which result indisappointing outcomes in human clinical trials because of increasedperipheral edema (Baumgartner et al., 2000; Rajagopalan et al., 2003).These suboptimal results may stem from the fact that the centralnervous system expresses several isoforms of VEGF-A. A morecomprehensive approach, in which several isoforms of this gene areexpressed, may havemore striking results. To this end, a panel of zinc-finger protein transcription factors (ZFPs) have been successfullydesigned that bind with high affinity to diverse DNA sequencespresent within the VEGF-A locus and that are capable of activating theexpression of multiple splice variants of the endogenous chromo-somal VEGF-A gene. It has been demonstrated previously that theexpression of ZFPs in vivo can induce expression of the VEGF-Aprotein, stimulate angiogenesis, and accelerate wound healing (Rebaret al., 2002). Evidence for a potentially therapeutic biophysiologicaleffect of ZFPs has been reported in animal models of hindlimbischemia (Dai et al., 2004; Xie et al., 2006; Yu et al., 2006) and diabetes(Li et al., 2007; Price et al., 2006).
To determine the effects of VEGF-A expression in a rodentmodel ofSCI, we employed a virally delivered ZFP transcription factor whichactivates VEGF-A expression (ZFP-VEGF). Recombinant adenoviral
0
385Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
(Ad) and adeno-associated viral (AAV) vectors are both promisingcandidates for gene therapy. Ad vectors result in rapid, high yieldtransgene expression; however, gene expression is transient (Her-mens et al., 1997). In contrast to Ad vectors, transgene expression byan AAV vector increases at a relatively slower rate and is sustained fora longer period (Burger et al., 2004). We have, therefore, performedtwo separate sets of experiments to determine both the acute (usingan Ad vector) and long-term (using an AAV vector) effects of ZFP-VEGF. We report novel findings indicating that ZFP-VEGF deliverypromotes neuroprotection and angiogenesis after SCI, resulting insignificant tissue sparing and neurobehavioural recovery at morechronic time points.
Materials and methods
All animal experiments were conducted with approval from theAnimal Care Committee, University Health Network (Toronto,Canada).
Viral vector constructs
The VEGF-A-activating ZFP and controls were provided in viralvectors by Sangamo BioSciences (Pt. Richmond, CA) and have beenpreviously described (Liu et al., 2001; Price et al., 2006). A diagram ofthe ZFP-VEGF expression cassette is illustrated in Fig. 1. 32E-p65 is a378 amino acid multidomain protein that is composed of threefunctional regions: (a) the nuclear localization signal (NLS) of thelarge T-antigen of SV40, (b) a designed 3-finger zinc-fingered protein(32E) that binds to a 9 base-pair target DNA sequence (GGGGGTGAC)present in the human VEGF-A promoter region and (c) thetransactivation domain from the p65 subunit of human NF-κB,which is identical to VZ+434, subcloned into pVAX1 (Invitrogen,San Diego, CA) with expression driven by the human cytomegalovirus(CMV) promoter. Adenoviral (Ad5-32Ep65 or Ad5-DsRed) and AAV(AAV2-32Ep65 or AAV2-GFP) vectors were packaged by transfectingT-REx-293 cells (Invitrogen, San Diego, CA). T-REx-293 cells in ten-stack cell factories were inoculated with Ad vectors at a multiplicity ofinfection (MOI) of 50 to 100 particles per cell. When adenoviralmediated cytopathy effect (CPE) was observed, cells were harvestedand lysed by three cycles of freezing and thawing. Crude lysates wereclarified by centrifugation. AAV2-32Ep65 is a first generation secondsingle-stranded AAV-2 vector. AAV vectors were produced in five-stack cell factories. 293 cells were seeded at 4×107 and grown 3 daysprior to transfection. The calcium phosphate method was used fortransfection. After three days, the cells were harvested and AAV waspurified by two rounds of cesium chloride density gradient centrifu-gation. The cesium chloride was removed by dialysis againstphosphate buffer saline (PBS) with additional sodium chloride to200 mM and Pluronic F 68 (Sigma Aldrich, St. Lois, MO) to 0.01%.Infectious titers of the Ad vectors were quantified using the Adeno-XRapid Titer kit (Clontech, Mountain View, CA). The genome copynumber of AAV was determined using Taqman polymerase chainreaction (PCR) (Applied Biosystems, Foster City, CA).
Fig. 1. ZFP-VEGF Expression Cassette. CMV pro—cytomegalovirus promoter/enhancer;NLS—nuclear localization sequence; ZFP-VEGF—engineered VEGF transcriptionalactivator; NF-κB p65 TAD—transactivation domain from the p65 subunit of humanNF-κB; bGH pA—bovine growth hormone polyadenylation sequence. Arrow indicatestranscription initiation site. Control viruses Ad-DsRed and AAV-GFP have been designedwith both VEGF-ZFP and NF-κB p65 domains deleted, and either DsRed or GFP domainsinserted, respectively.
241
SCI and intraspinal microinjection
The aneurysm clip compression model of SCI used in ourlaboratory has been characterized extensively and described previ-ously (Fehlings and Tator, 1995). Briefly, adult female Wistar rats(250–300 g; Charles River, Montreal, Canada) received laminectomiesof midthoracic vertebral segments T6-T7. A modified clip calibrated toa closing force of 35 g was applied extradurally to the cord forduration of 1 min. Ad vectors were used for acute phase (3–10 days)and AAV vectors were used for a more chronic evaluation period(6 weeks). The animals were divided into two groups in a randomizedand “blinded” manner, Ad/AAV-ZFP-VEGF treatment group and Ad-DsRed/AAV-GFP control group. Using a stereotaxic frame and glasscapillary needle (tip diameter 60 μm) connected to a Hamiltonmicrosyringe, a total of 5×108 viral particles (Ad) or 7.5×106 (AAV)plaque forming units (PFU) were injected into the dorsal spinal cordimmediately after SCI. Four 2.5 μl (10 μl total) intraspinal injectionswere made bilaterally at 2 mm rostral and caudal of the injury site.The injection rate is 0.5 μl/min and at the end of injection, thecapillary was left in the cord for at least 1 min to allow diffusion fromthe injection site. A subcutaneous injection of 10mg/kg of cyclosporinA was administered daily starting 24 h prior to the SCI until the end ofthe experiments for immunosuppression in Ad vector injected animalgroups, which have been shown to illicit a non-specific immunereaction.
Measurement of VEGF mRNA by real-time PCR
Three days after SCI and viral vector injection, spinal cord tissues(5-mm piece of spinal cord, centered on the injury site) were takenand homogenized in Trizol (Invitrogen, Burlington, Canada) underRNAse-free conditions. RNeasy Mini Reagent Set (Qiagen Inc.,Mississauga, Canada) was used to isolate RNA. Two micrograms oftotal RNA were reverse transcribed using SuperScript™ II RNase H-reverse transcriptase. The mRNA level of VEGF isoforms werequantified by real-time PCR on the ABI 7900 HT Fast Real-Time PCRSystem using SYBR green PCR master mix reagent kit (AppliedBiosystems, Foster City, CA). Primers for VEGF-A (Sigma, Oakville,Canada) isoforms were as follow (Adris et al., 2005; Zhang et al.,2002): VEGF-A isoform common forward primer, 5′-GCC AGC ACATAG GAG AGA TGA GC-3′; VEGF120 reverse primer, 5′-GGC TTG TCACAT TTT TCT GG-3′; VEGF164 reverse primer, 5′-CAA GGC TCA CAGTGA TTT TCT GG-3′; VEGF188 reverse primer, 5′-AAC AAG GCT CACAGT GAA CGC T-3′; hypoxanthine phosphoribosyl transferase 1(HPRT1) forward primer, 5′-GCC CCA AAA TGG TTA AGG TT-3′;HPRT1 reverse primer, 5′-CCG CTG TCT TTT AGG CTT TG-3′. The real-time quantitative PCR assay was performed twice, and each samplewas tested in triplicate. “No-template” and “no-amplification” con-trols were included for each gene, and melt curves showed a singlepeak, confirming specific amplification (Bustin and Nolan, 2004). Thethreshold cycle (CT) for each gene was determined and normalizedagainst the housekeeping gene HPRT1.
Western blotting
A 5-mm length of the spinal cord centered at the injury site wastaken and 20 μg of proteinwas loaded into 7.5% or 12% polyacrylamidegels (Bio-Rad, Mississauga, Canada). Membranes were probed witheither monoclonal anti-NF200 antibody (1:2000; Sigma, Oakville,Canada), rabbit IgG anti-VEGF-A antibody (1:100; Santa CruzBiotechnology, Santa Cruz, CA), or rabbit IgG anti-NFκBp65 (1:1000;Santa Cruz Biotechnology, Santa Cruz, CA). NFκBp65 rabbit polyclonalantibody recognizes the p65 activation domain in the ZFP-VEGFtreated animals. Primary antibodies were labeled with horseradishperoxidase-conjugated secondary antibodies (goat anti-mouse/rabbitIgG, 1:3000; Jackson Immuno Research Laboratories, West Grove, PA),
386 Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
and bands were imaged using an enhanced chemiluminescence (ECL)detection system (Perkin Elmer, Woodbridge, Canada). Mousemonoclonal, beta-actin (Chemicon International, Inc., Temecula, CA)was immunoblotted as a loading control. Gel-Pro Plus Analyzersoftware (Media Cybernetics Inc., MD) was used for integrated opticaldensity (OD) analysis.
Histochemistry
Histological processingAnimals were perfused transcardially with 4% paraformaldehyde
(PFA) in 0.1 M PBS. Then, the tissues were cryoprotected in 20%sucrose in PBS. A 1 cm length of the spinal cord centered at the injurysite was embedded in tissue-embedding medium. The injuredsegment was snap frozen and sectioned on a cryostat at a thicknessof 12 μm. Serial spinal cord sections at 500 μm intervals were stainedwith myelin-selective pigment luxol fast blue (LFB) and the cellularstain hematoxylin–eosin (HE) to identify the injury epicenter. Tissuesections displaying the largest proportion of cystic cavity comparedwith total cross-sectional area were taken to represent the focal pointof the injury epicenters.
ImmunohistochemistryThe following primary antibodies were used: mouse anti-NeuN
(1:500; Chemicon International, Inc., Temecula, CA) for neurons,mouse anti-GFAP (1:500; Chemicon International, Inc., Temecula, CA)
Fig. 2. Transduction efficiency of Ad-DsRed in spinal cord. (A) Photomicrographs showing acompression injury and Ad-DsRed injection. Ds-Red signal was detected in the gray matteneurons (NeuN), astrocytes (GFAP) and oligodendrocytes (CC1). Scale bar 300 μm for A; 20
24
for astrocytes, mouse anti-APC (CC1, 1:100; Calbiochem, San Diego,CA) for oligodendrocytes, mouse anti-RECA-1 (1:25; Serotec Inc.,Raleigh, NC) for endothelial cells. The sections were rinsed three timesin PBS after primary antibody incubation and incubated with eitherfluorescent Alexa 568, 647 or 488 goat anti-mouse/rabbit secondaryantibody (1:400; Invitrogen, Burlington, Canada) for 1 h. The sectionswere rinsed three times with PBS and coverslipped with Mowiolmounting medium containing DAPI (Vector Laboratories, Inc.,Burlingame, CA) to counterstain the nuclei. The images were takenusing a Zeiss 510 laser confocal microscope.
Quantification of blood vesselsSections were used for immunofluorescence studies with a
monoclonal antibody specific for a rat endothelial cell antibody,RECA-1. As shown in Fig. 4A, the counting of vessels was performed on4 selected fields (ventral horn, dorsal horn, left and right lateralcolumns) each section under 25× magnification (0.14 mm2). Thenumber of vessels was calculated on two sections (one rostral and onecaudal) at 2 mm and two sections at 4 mm away from the epicenterfor each animal. Labeling and quantification of apoptotic cells. An insitu terminal-deoxy-transferase mediated dUTP nick end-labeling(TUNEL) apoptosis kit (Chemicon International, Inc., Temecula, CA)was used to label apoptotic cells as described in the manufacturer'sinstructions. The numbers of TUNEL-positive nuclei were counted atthe epicenter, as well as at 1, 2 and 3mm (rostral and caudal) from theinjury epicenter. Apoptotic nuclei were found randomly distributed
transverse section of rat spinal cord obtained adjacent to the injury site 10 days afterr and white matter. (B) Confocal images show that the Ad-DsRed vectors transfectedμm for B.
2
387Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
throughout the cord, and the count was performed on 4 randomlyselected fields (0.14 mm2) from each section. In order to ensure thatthe selected field included only spinal cord tissue and not the injurycavity, the field was chosen in the anteriolateral white matter andincluded some anterior gray matter. This position was maintainedeven in sections where the cavitation was less pronounced in order tosample consistently.
Assessment of tissue sparing and cavity formation at the injury siteTissue sparing and cavity formation was analyzed 6 weeks after
SCI, at the center of the lesion, 2 mm above and 2 mm below theepicenter. Sections were stained with LFB-HE. The measurementswere carried out on coded slides using ImageJ software (MediaCybernetics Inc., MD). Cross-sectional residual tissue and cavity areaswere normalized with respect to total cross-sectional area and theareas were calculated every 500 μm within the rostrocaudalboundaries of the injury site.
Behavioural testing
Locomotor recovery of the animals was assessed by twoindependent observers using the 21 point Basso, Beattie, andBresnahan (BBB) open field locomotor score (Basso et al., 1995)from 1 to 6 weeks after SCI. The BBB scale was used to assess hindlimb
Fig. 3. Transduction efficiency of AAV-GFP and ZFP-VEGF gene transfer evaluation. (A) AAV2-after SCI and vector injection. Scale bar is 350 μm. (B) AAV2-GFP vectors were predominantlrabbit polyclonal antibody recognizes the p65 activation domain in the ZFP-VEGF treated anipresent in both the control and treatment groups. The lower band (arrow) corresponds to tpositive control for NFκB p65 in HEK293 cells. Lane 1 shows ZFP-VEGF transduced HEK293marker.
243
locomotor recovery including joint movements, stepping ability,coordination, and trunk stability. Testing was done every week on ablinded basis and the duration of each session was 4 min per rat.Scores were averaged across both the right and left hindlimbs toarrive at a final motor recovery score for each week of testing.
Statistical analysis
Data were analyzed with Sigma Stat software. For comparison ofgroups over time (BBB behavioural testing) or distance (tissuesparing), we used two-way analysis of variance (ANOVA) withrepeated measures, followed by the post-hoc Bonferroni test. Forcomparison of simple effects, Student's t test was used. In all figures,the mean value±SEM are used to describe the results. Statisticalsignificance was accepted for p values ofb0.05.
Results
Delivery of the ZFP-VEGF to the spinal cord
To evaluate the transduction efficiency of the Ad or AAV vectors invivo, Ad-DsRed or AAV-GFP were injected into animals with SCI. TheAd-DsRedfluorescent signalwas detected in the gray andwhitematterof the injured spinal cord 10 days after SCI (Fig. 2A). Furthermore, as
GFP-positive cells were still observed andmostly detected in the gray matter at 6 weeksy expressed in neurons (NeuN). Scale bar=20 μm. (C) Western blot showing NFκB p65mals. The higher molecular weight band (upper band) is from endogenous p65 and washe ZFP-VEGF and was only present in the treated animals. (D) Western blot showing acells, lane 2 displays non-transduced HEK293 cells and lane 3 is a molecular weight
Fig. 4. Ad vector mediated ZFP-VEGF treatment increased VEGF mRNA and proteinexpression at 3 days after vector injection. (A) VEGF mRNA levels encoding forVEGF120, 164 and 188 isoforms were measured by real-time PCR. The bar graphillustrates that administration of ZFP-VEGF resulted in an increase of VEGF mRNAcompared with DsRed control group in non-SCI and SCI groups. Relative mRNA levelsare expressed as the mean±SEM, n=12 in non-SCI groups and n=11 in SCI groups;⁎⁎pb0.01, ⁎pb0.05. (B) Western blot showing administration of ZFP-VEGF resulted inincreased VEGF-A protein levels, and (C) VEGF 42 kDa protein significantly increased intreated animals compared with control group. Optical density (OD) of VEGF-A wasnormalized to actin. Data are presented as mean±SEM, n=6/group.
388 Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
seen in Fig. 2B, confocal images show that the Ad-DsRed vectortransfected neurons, astrocytes and oligodendrocytes. The biodistri-bution of Ad-DsRed was found in 21.6±3.3 % (mean±SEM) ofneurons, 36.3±3.4% of astrocytes and 20.2±2.3% of oligodendrocytesin the regions of the cord where DsRed expression was observed(n=3). Examination of the immune response elicited by the Advectors was achieved by the immunocytochemical visualization ofmacrophages/microglia and T cells. There was no difference in theextent of inflammation seen in the plain injured and Ad-ZFP-VEGF/Ad-DsRed group with cyclosporin A administration (data notshown).
Following AAV (serotype 2) delivery, GFP-positive cells were stillseen at 6 weeks after SCI and injection. GFP signal was detectedmainly in the gray matter (Fig. 3A), and AAV vectors appeared topreferentially transfect neurons (Fig. 3B). Quantification with anti-NeuN labeling revealed that 37.1±4.9 % (mean±SEM) neurons weretransfected in the regions of the cord where GFP expression wasobserved (n=3). Because the ZFP-VEGF viral construct contains thep65 subunit of the human NFκb transcription factor as the activationdomain (Price et al., 2006), delivery of the ZFP-VEGF was confirmedby immunoblotting using an NFκb p65 antibody for the presence ofthe transcription factor (Fig. 3C). As a positive control, HEK293 cellswere transduced with ZFP-VEGF and cell lysates were processed forimmunoblotting using the same NFκb p65 antibody. The results areshown in Fig. 3D. These results demonstrate localized gene transfer tothe injured spinal cord.
ZFP-VEGF treatment increases VEGF mRNA and protein expression
Animals were sacrificed 3 days after injection, and mRNAexpression of three abundant isoforms, VEGF120, VEGF164 andVEGF188, were measured by quantitative real-time PCR. As shownin Fig. 4A, administration of ZFP-VEGF resulted in a significantincrease in mRNA of VEGF-A splice variants, VEGF120 and VEGF164,both in non-SCI and SCI groups as compared with Ad-DsRed controlanimals. VEGF-A protein expression was assessed by Western blotusing a polyclonal anti-VEGF antibody, which detects a double bandat 42 kDa and 21 kDa and is recommended for the detection of the189, 165 and 121 amino acid splice variants of VEGF. The VEGFprotein (42 kDa) was significantly increased by 2.2-fold in ZFP-VEGFtreated animals versus DsRed treated controls (Fig. 4B and C). Theseresults suggest that, in agreement with earlier studies in skeletalmuscle (Dai et al., 2004; Rebar et al., 2002; Yu et al., 2006), ZFP-VEGF increases VEGF mRNA and protein expression in the injuredspinal cord of rats.
ZFP-VEGF promotes an angiogenic response after traumatic SCI
To quantify the angiogenic response to ZFP-VEGF, we performedimmunostaining with RECA-1, a monoclonal antibody specific forendothelial cells, at 10 days (Ad vector) and 6 weeks (AAV vector)following SCI, in animals that received immediate vector inocula-tion. At the injury epicenter, spinal cord tissue was significantlydisrupted and angiogenesis was unable to be properly quantified.Therefore, capillary density in spinal cord tissue sections wasquantified 2 mm and 4 mm, both caudal and rostral, from thelesion epicenter (Fig. 5A). ZFP-VEGF treated rats displayed a clearincrease in vascular density in the lesion penumbra when comparedwith control rats both in Ad vector (Fig. 5B) and AAV vector(Fig. 5C) application. A statistically significant increase in the numberof blood vessels was observed in the Ad-ZFP-VEGF treatment groupcompared with the Ad-DsRed control group in non-SCI groups, andSCI animals at 2 mm (38.88±2.59 versus 24.58±1.53, pb0.01) and4 mm (44.50±3.15 versus 27.13±2.11, pb0.01) distal to the injurysite (Fig. 5D). As shown in Fig. 5E, analysis of capillary density at6 weeks after injury by AAV injection yielded similar results in non-
24
SCI group and SCI rats at 4 mm away from the epicenter (AAV-ZFP-VEGF=51.58±2.16, AAV-GFP control=40.25±2.07, pb0.01).
ZFP-VEGF treatment attenuates axonal degradation and post-traumaticapoptosis
To assess the neuroprotective effects of ZFP-VEGF after SCI, thelevel of degradation of neurofilament protein (NF200), a hallmark ofneurodegeneration in the SCI model, was assessed in the injuredregion of the cord. Previous publications from our laboratory havedemonstrated a progressive loss of NF200 after SCI (Karimi-Abdolrezaee et al., 2004; Schumacher et al., 2000). NF200 degradationwas reduced at 3 and 7 days post-injury with Ad-ZFP-VEGF treatment(Fig. 6A), and axonal preservation was observed at 6 weeks afterinjury with AAV-ZFP-VEGF treatment (Fig. 6B). As shown in Fig. 6C,the NF200 content was significantly (pb0.05) increased by 2-fold at7 days and by 2.5-fold at 6 weeks post-injury in ZFP-VEGF treatedanimals versus control animals.
4
Fig. 5. Angiogenic response of VEGF-A with an increase in capillary density. (A) Diagram of experimental parameter illustrates serial injured spinal cord transverse sections. Rightpanel illustrates the area of the cord used for RECA-1 counting. Panels (B) and (C) are representative sections taken 4mm rostral to the epicenter from a ZFP-VEGF treated and controlanimal respectively immunostained with RECA-1 at (B) 10 days (Ad vector mediated) and (C) 6 weeks (AAV vector mediated) after SCI. Top panels: low-power representation ofcord stained with RECA-1; scale 200 μm. The boxed areas in top panels correspond to the enlarged areas in lower panels (bar=50 μm). An increased angiogenic response wasobserved in the ZFP-VEGF treated group. (D) Bar graph depicting the RECA-1-positive cell counts 10 days after SCI by Ad vector mediated treatment. The ZFP-VEGF administration ledto a significant increase in capillary density in non-SCI and SCI animals (2 mm and 4 mm away from the epicenter) as compared with the control group. (E) Bar graph showing theRECA-1-positive cell counts 6 weeks after SCI by AAV vector mediated treatment. The ZFP-VEGF administration led to a significant increase in capillary density in non-SCI group, andSCI animals at 4 mm away from the injury site as compared with the control group. Data are presented as mean±SEM, n=5/group; ⁎⁎pb0.01, ⁎pb0.05.
389Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
Previous studies from our group have shown that apoptotic celldeath occurs as early as 6 h following SCI, peaks at seven days and isstill evident at 14 days post injury (Casha et al., 2001). To determinewith the effects of ZFP-VEGF treatment on apoptotic cell death, in situ
245
terminal-deoxy-transferase mediated dUTP nick end-labeling(TUNEL) staining was performed 10 days after injury. TUNEL-positivecells were found throughout the gray and white matter in the injuredspinal cord, with the greatest concentration close to the lesion site.
Fig. 6. ZFP-VEGF administration attenuated axonal degradation. (A) Western blotdemonstrating that administration of Ad-ZFP-VEGF resulted in the attenuation ofNF200 degradation at 3 and 7 days after injury. (B) Administration of AAV-ZFP-VEGFresulted in the attenuation of NF200 degradation at 6 weeks after injury. (C) RelativeOD values of control versus ZFP-VEGF treated animals. Inhibition of NF200 degradationwas significantly different in control versus the ZFP-VEGF treatment groups at 7 daysand 6 weeks after injury. Optical density of NF200 was normalized to actin. Error barsare expressed as standard error of means, n=6/group at 3 and 7 days, and n=6 inAAV-ZFP-VEGF treatment group, n=5 in AAV-GFP control group at 6 weeks; ⁎pb0.05.
Fig. 7. Ad-ZFP-VEGF administration reduced post-traumatic apoptosis after SCI. Panels(A) and (B) are representative sections taken 2 mm rostral to the epicenter from a ZFP-VEGF treated and Ad-DsRed control animal respectively immunostained with TUNEL at10 days after SCI. Top panels: low-power representation of cord stained with TUNEL ingreen and nuclear marker DAPI in blue; scale 200 μm. The boxed areas in the top panelscorrespond to the enlarged areas in the lower panels (bar=50 μm). A reduction ofTUNEL-positive cells was observed in the ZFP-VEGF treated group (C) Bar graphshowing the TUNEL cell counts 10 days after SCI. There was a significant decrease inTUNEL-positive cell death in the ZFP-VEGF treatment group versus control group at1 mm, 2 mm and 3 mm away (rostral and caudal) from the lesion epicenter. Values aremean±SEM, n=5/group; ⁎⁎pb0.01.
390 Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
TUNEL-stained nuclei were counted at the injury epicenter, and at 1, 2,and 3 mm from the injury epicenter. As shown in Fig. 7, ZFP-VEGFtreatment was associated with a significant reduction in counts ofTUNEL-positive cells at 1 mm (pb0.01), 2 mm (pb0.01) and 3 mm(pb0.01) from the lesion epicenter. The reduction in apoptotic celldeath at the injury epicenter approached (p=0.09) but did not attainsignificance.
ZFP-VEGF enhances tissue preservation at the lesion site
Six weeks after SCI, spinal cord cross-sections were stainedserially with LFB-HE. Spinal cords from AAV-ZFP-VEGF treated ratsexhibited a greater extent of spared tissue and decreased cavityformation in all sections, up to 2 mm rostral and caudal to theinjury epicenter when compared to tissue sections from AAV-GFPcontrol rats (Fig. 8A). Measurements of residual tissue or cavity sizetaken from cross-sectional areas were expressed as a percent of thetotal cross-section area of the section. A comparison of percentnormalized residual tissue, which is represented in Fig. 8B, wasperformed by two-way ANOVA with the two factors representingtreatment and distance from the injury epicenter. This experimentrevealed an overall significant improvement in tissue preservationin the ZFP-VEGF treated group (p=0.005). The percentage ofremaining tissue was 72.55±4.13% in ZFP-VEGF treated animalsand 53.73±4.41% in control rats at injury epicenter (p=0.002).There was also significantly increased preserved neural tissue inZFP-VEGF treated animals at 1.0 (p=0.007) and 0.5 mm (p=0.036)
24
rostral and at 0.5 mm (p=0.011) caudal to the epicenter. As shownin Fig. 8C, the cavity area was significantly decreased in ZFP-VEGF-treated rats at 1.5 and 1.0 mm rostral and epicenter.
ZFP-VEGF promotes functional neurobehavioural recovery after SCI
The hind limbs of experimental animals were completelyparalyzed after SCI. Hind-limb performance gradually improved inboth experimental groups. However, at 3 weeks and thereafter, theAAV-ZFP-VEGF treated rats displayed significant behavioural im-provement compared with control group (Fig. 9). At 6 weeks, theAAV-GFP control rats reached an average score of 6, indicatingnon-functional movement of the three hind-limb joints withoutcoordinated sweeping of their hind legs. In contrast, the ZFP-VEGFtreated rats reached an average score of 8, indicating the ability to
6
Fig. 8. AAV-ZFP-VEGF improves spinal cord tissue preservation and decreases cavityformation. Panel (A) shows representative sections taken 0.5 mm rostral to theepicenter from a ZFP-VEGF treated and AAV-GFP control animal, respectively, stainedwith LFB and HE (scale 200 μm) 6 weeks after SCI. ZFP-VEGF treated spinal cordexhibited a larger extent of spared tissue and decreased cavity formation than controlanimal tissue. (B) Percent normalized residual tissue and (C) cavity area in ZFP-VEGFtreatment (■) versus control (◊) group. There was a significant different between ZFP-VEGF treated animals versus controls by two-way ANOVA with post-hoc (Bonferroni)test. Single (pb0.05) and double (pb0.01) asterisks indicate significantly increasedtissue area or decreased cavity formation in ZFP-VEGF treated animals at different sitesfrom injured epicenter. Data are mean±SEM (bars) values (n=12 in AAV-ZFP-VEGFtreatment group, and n=11 in AAV-GFP control group).
Fig. 9. The graph depicts functional hindlimb recovery over time after SCI. Treatmentwith ZFP-VEGF resulted in improved BBB scores versus controls. The two groups differfrom each other at pb0.02 by two-way ANOVA with repeated measures. ⁎Bonferronipost-hoc tests showed that scores differed at pb0.04 at every time point 3 weeksafter SCI and thereafter. Data are mean±SEM (bars) values (n=12 in AAV-ZFP-VEGFtreatment group, and n=11 in AAV-GFP control group).
391Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
make sweeping movements with their hind legs or coordinatedplantar placement of the hind limbs without weight support.
Discussion
The results of this study indicate that ZFP-VEGF treatment leadsto an angiogenic response and has neuroprotective effects in theinjured spinal cord of rodents. These effects include an attenuationof axonal degradation, reduced post-traumatic apoptosis, enhancedtissue sparing at the lesion site, and improved neurobehaviouraloutcomes. Hence, the ZFP-VEGF strategy as described here holdspromise as a potential therapy for SCI and other forms of CNSinjury.
247
Disruption of the vasculature and ischemia are key elements of SCI
SCI results in the disruption of spinal cord blood flow and theonset of spinal cord ischemia. Approaches that address the onsetand downstream consequence of ischemic injury are thereforeattractive treatment options for SCI. VEGF-A is angiogenic, and hasbeen recognized as an important signaling molecule in the nervoussystem. We examined the effects of a ZFP transcription factordesigned to increase the expression of all major VEGF-A isoforms ina well-characterized clip compression model of SCI. Previous datahave demonstrated that delivery of ZFP-VEGF can increase endog-enous VEGF-A expression in striated skeletal muscle and promoteangiogenesis in both a mouse ear and rabbit hind-limb ischemiamodels (Dai et al., 2004; Price et al., 2006; Rebar et al., 2002; Yu etal., 2006). More recent findings have demonstrated that intramus-cular delivery of ZFP-VEGF was able to improve perfusion, limittissue apoptosis, and promote angiogenesis after hind-limb ischemiain ApoE knockout mice fed a high-cholesterol diet (Xie et al., 2006).Similarly, gene transfer with a transcription factor designed toincrease VEGF-A expression improved recovery in an ischemicmouse limb (Li et al., 2007). The VEGF-A isoforms examined in ourreport were upregulated at the mRNA and protein levels in SCI afterZFP-VEGF treatment. The significant increase in VEGF120 andVEGF164 is particularly noteworthy. In the human CNS, theVEGF121 and VEGF165 isoforms constitute the majority of VEGF-Aexpression and appear to be the major players in the process ofangiogenesis in the spinal cord (Keyt et al., 1996).
VEGF-A induces angiogenesis and promotes neuroprotection
Recent publications have also examined the role of VEGF-A inmodels of SCI, with varying results. Choi et al. (2007) used a hypoxia-inducible VEGF-A expression system to treat rats with SCI andobserved neuroprotective effects and enhanced VEGF-A expression.Another group used an adenovirus coding for VEGF165, delivered viamatrigel, in a partial spinal cord transection model. They observed asignificant increase in vessel volume and a reduction in the retrogradedegeneration of corticospinal tract axons (Facchiano et al., 2002).
However, Benton and Whittemore (2003) reported an exacerba-tion of lesion size and increased inflammation after the delivery of2 μg of recombinant VEGF165 directly into the contused spinal cord3 days post-SCI. This study highlights several factors which are likelyto be critical in the successful application of VEGF-A as a therapy forSCI. Themethod of VEGF delivery is likely a critical factor. In our study,we injected the ZFP-VEGF adjacent to the injury epicenter as the
392 Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
perilesional ischemic penumbra is likely the zone, which wouldbenefit themost from approaches to enhance angiogenesis. Moreover,Ad and AAV viral vectors were used in the acute and chronic studiesaccording to their different expression characteristics. The use ofcyclosporine A as an immunosuppressive agent following Ad vector isalso an important factor which merits commentary. Of note, it hasbeen reported that cyclosporine A has modest neuroprotective effectsin models of contusive SCI (McMahon et al., 2009). Importantly, theeffects of cyclosporine A were controlled for in our experiments.Control rats who received Ad-DsRed also received cyclosporine A.Thus any potential beneficial effects of cyclosporine A were accountedfor in the design of our experimental plan and would not havecontributed to the differential neuroprotective effects seen with ZFP-VEGF constructs.
The administration of ZFP-VEGF has the ability to upregulateseveral isoforms of VEGF-A, mimicking endogenous expression.WhenVEGF therapy is applied, the potent vascular permeability effect of thistreatment must also be considered. The study from Rebar et al. (2002)have shown that the neovasculature resulting from activation of theendogenous VEGF-A by engineered ZFPs is not hyperpermeable, incomparison with the vasculature induced by VEGF-A164 alone. In ourexperiments, ZFP-VEGF treatment resulted in increased vessel densityin both SCI and non-SCI animals. However, we observed no adverseeffects of ZFP-VEGF in uninjured animals, as assessed by histomor-phological and neurobehavioural outcomes (see SupplementaryFigure). It is possible that the ZFP-induced vasculature is morephysiologically mature and that this is due to the induced expressionof the natural VEGF-A splice variants. There was a slight, transientreduction in locomotor performance in non-SCI animals due to theintraspinal microinjection. In future studies we aim to investigatealternative (and potentially less invasive) methods for administrationof ZFP-VEGF following SCI, which may result in a more clinicallyrelevant delivery system. The timing of VEGF-A therapy could play animportant role in mediating the optimal effects, although this issuerequires further study. Based on our current data and other positiveresults of VEGF-A treatment in SCI and brain ischemic injury/stroke, itwould appear that VEGF-A has in the potential to promote recoveryfrom spinal cord trauma (Kaya et al., 2005; Wang et al., 2006).
Possible neuroprotective mechanisms of VEGF-A treatment
Recent studies indicate that VEGF-A can no longer be characterizedsolely as an endothelial mitogen. It is increasingly apparent that VEGF-A may exert multiple roles in the CNS that contribute to neurotrophicand neuroprotective effects. By stimulating angiogenesis with VEGF,we hypothesized that ischemia, and its contribution to secondarydamage of the spinal cord, could be counteracted. Indeed, weobserved higher blood vessel densities and increased axonal preser-vation. The differences between treatments correlated well tobehavioural outcomes and the amount of spared tissue. However,the mechanisms underlying the neuroprotective effects of VEGF-A inthe setting of SCI are not well understood. A number of in vitro and invivo studies have demonstrated that VEGF-A is a potent neurotrophicfactor which also confers protection to injured neurons (Jin et al.,2000; Rosenstein and Krum, 2004). Some studies have suggested thatthis neuroprotective effect is mediated by activation of the intracel-lular tyrosine kinase domains that influence several downstreamsignaling pathways, including mitogen-activated protein kinases(MAPK) and phosphoinositide 3-kinase (PI3K)/Akt (Kaya et al.,2005; Sondell et al., 1999; Svensson et al., 2002). It has also beenproposed that the binding of VEGF-A to the VEGFR-2 receptor onneurons stimulates dimerization of VEGFR-2 forming a complex withneuropilin-1, thus activating the PI3-K/Akt and the extracellular-regulated kinase (ERK-1/-2) signaling pathways. The PI3-K/Aktpathway is an important regulator of cell proliferation and survivaland has been shown to mediate the anti-apoptotic effects of VEGF in
24
endothelial cells (Larrivee and Karsan, 2000; Thakker et al., 1999), aswell as to transduce neuroprotective effects in an immortalizedneuronal cell line (Jin et al., 2000). Thus, VEGF-A could play asignificant role in spinal cord repair and is emerging as a central playerin neurodegenerative disorders (Storkebaum and Carmeliet, 2004;Storkebaum et al., 2004) with potent direct neuroprotective (Marti,2002; Sun et al., 2003) and neurotrophic (Rosenstein and Krum, 2004;Sondell et al., 1999) functions.
A review secondary injury theory by Tator and Fehlings (1991)suggested that petechial hemorrhages and edema occur within15 min of injury. During the first 4 h, myelin sheaths are disrupted,axonal degeneration can be observed, and ischemic endothelial injuryoccurs. We injected ZFP-VEGF immediately following SCI in order tostem the initial cascade of secondary injury, but ZFP-VEGF adminis-tration immediately following injury is not clinically feasible. Thetiming of gene production is an important issue and the perifocalregion may have substantially wider timeframes for rescue. It hasbeen reported that delayed (48 h after ischemia) administration ofrecombinant human VEGF165 to ischemic rats enhanced angiogenesisin the penumbra and significantly improved neurological recovery(Sun et al., 2003; Zhang et al., 2000). While a future study willdetermine the effective time window for ZFP-VEGF administrationfollowing SCI, the present study demonstrates that the administrationof ZFP-VEGF immediately following SCI exerts potent neuroprotectiveeffects. To the best of our knowledge, this report is the first toinvestigate the therapeutic efficiency of ZFP-VEGF in a SCI model. Themajor findings of our study suggest this approach warrants investi-gation as a novel approach to treat SCI.
Acknowledgments
The authors would like to thank Wendy Zhang for assistance withthe histochemistry experiments, Jian Wang and Behzad Azad for theirhelp with behavioural testing, Julio Furlan for assistance with dataanalysis and Allyson Tighe for her editorial reviews. This study wassupported by Sangamo BioSciences and the Krembil Chair in NeuralRepair and Regeneration (held by Dr. Michael G. Fehlings). Theauthors thank Philip Gregory and Edward Rebar of SangamoBioSciences for scientific review.
Appendix A. Supplementary data
Supplementary data associated with this article can be found, inthe online version, at doi:10.1016/j.nbd.2009.10.018.
References
Adris, S., et al., 2005. Quantification of vascular endothelial growth factor andneuropilins mRNAs during rat brain maturation by real-time PCR. Cell. Mol.Neurobiol. 25, 1035–1041.
Basso, D.M., et al., 1995. A sensitive and reliable locomotor rating scale for open fieldtesting in rats. J. Neurotrauma 12, 1–21.
Baumgartner, I., et al., 2000. Lower-extremity edema associated with gene transfer ofnaked DNA encoding vascular endothelial growth factor. Ann. Intern. Med. 132,880–884.
Benton, R.L., Whittemore, S.R., 2003. VEGF165 therapy exacerbates secondary damagefollowing spinal cord injury. Neurochem. Res. 28, 1693–1703.
Burger, C., et al., 2004. Recombinant AAV viral vectors pseudotyped with viral capsidsfrom serotypes 1, 2, and 5 display differential efficiency and cell tropism afterdelivery to different regions of the central nervous system. Molec. Ther. 10,302–317.
Bustin, S.A., Nolan, T., 2004. Pitfalls of quantitative real-time reverse-transcriptionpolymerase chain reaction. J. Biomol. Tech. 15, 155–166.
Casha, S., et al., 2001. Oligodendroglial apoptosis occurs along degenerating axons andis associated with FAS and p75 expression following spinal cord injury in the rat.Neuroscience 103, 203–218.
Choi, U.H., et al., 2007. Hypoxia-inducible expression of vascular endothelial growthfactor for the treatment of spinal cord injury in a rat model. J. Neurosurg. Spine 7,54–60.
Dai, Q., et al., 2004. Engineered zinc finger-activating vascular endothelial growth factortranscription factor plasmid DNA induces therapeutic angiogenesis in rabbits withhindlimb ischemia. Circulation 110, 2467–2475.
8
393Y. Liu et al. / Neurobiology of Disease 37 (2010) 384–393
Facchiano, F., et al., 2002. Promotion of regeneration of corticospinal tract axons in ratswith recombinant vascular endothelial growth factor alone and combined withadenovirus coding for this factor. J. Neurosurg. 97, 161–168.
Fehlings, M.G., Tator, C.H., 1995. The relationships among the severity of spinal cordinjury, residual neurological function, axon counts, and counts of retrogradelylabeled neurons after experimental spinal cord injury. Exp. Neurol. 132, 220–228.
Fehlings, M.G., et al., 1989. The relationships among the severity of spinal cord injury,motor and somatosensory evoked potentials and spinal cord blood flow.Electroencephalogr. Clin. Neurophysiol. 74, 241–259.
Greenberg, D.A., Jin, K., 2005. From angiogenesis to neuropathology. Nature 438,954–959.
Hermens, W.T., et al., 1997. Transient gene transfer to neurons and glia: analysis ofadenoviral vector performance in the CNS and PNS. J. Neurosci. Methods 71, 85–98.
Jin, K.L., et al., 2000. Vascular endothelial growth factor: direct neuroprotective effect inin vitro ischemia. Proc. Natl. Acad. Sci. U. S. A. 97, 10242–10247.
Karimi-Abdolrezaee, S., et al., 2004. Temporal and spatial patterns of Kv1.1 and Kv1.2protein and gene expression in spinal cord white matter after acute and chronicspinal cord injury in rats: implications for axonal pathophysiology afterneurotrauma. Eur. J. Neurosci. 19, 577–589.
Kaya, D., et al., 2005. VEGF protects brain against focal ischemia without increasingblood-brain permeability when administered intracerebroventricularly. J. Cereb.Blood Flow Metab. 25, 1111–1118.
Keyt, B.A., et al., 1996. The carboxyl-terminal domain (111–165) of vascular endothelialgrowth factor is critical for its mitogenic potency. J. Biol. Chem. 271, 7788–7795.
Larrivee, B., Karsan, A., 2000. Signaling pathways induced by vascular endothelialgrowth factor (review). Int. J. Mol. Med. 5, 447–456.
Leung, D.W., et al., 1989. Vascular endothelial growth factor is a secreted angiogenicmitogen. Science 246, 1306–1309.
Li, Y., et al., 2007. In mice with type 2 diabetes, a vascular endothelial growth factor(VEGF)-activating transcription factor modulates VEGF signaling and inducestherapeutic angiogenesis after hindlimb ischemia. Diabetes 56, 656–665.
Liu, P.Q., et al., 2001. Regulation of an endogenous locus using a panel of designed zincfinger proteins targeted to accessible chromatin regions. Activation of vascularendothelial growth factor A. J. Biol. Chem. 276, 11323–11334.
Marti, H.H., 2002. Vascular endothelial growth factor. Adv. Exp. Med. Biol. 513,375–394.
McMahon, S.S., et al., 2009. Effect of cyclosporin A on functional recovery in the spinalcord following contusion injury. J. Anat. 215, 267–279.
Price, S.A., et al., 2006. Gene transfer of an engineered transcription factor promotingexpression of VEGF-A protects against experimental diabetic neuropathy. Diabetes55, 1847–1854.
Rajagopalan, S., et al., 2003. Regional angiogenesis with vascular endothelial growthfactor in peripheral arterial disease: a phase II randomized, double-blind,
249
controlled study of adenoviral delivery of vascular endothelial growth factor121 in patients with disabling intermittent claudication. Circulation 108,1933–1938.
Rebar, E.J., et al., 2002. Induction of angiogenesis in a mouse model using engineeredtranscription factors. Nat. Med. 8, 1427–1432.
Rosenstein, J.M., Krum, J.M., 2004. New roles for VEGF in nervous tissue-beyond bloodvessels. Exp. Neurol. 187, 246–253.
Schumacher, P.A., et al., 2000. Pretreatment with calpain inhibitor CEP-4143 inhibitscalpain I activation and cytoskeletal degradation, improves neurological function,and enhances axonal survival after traumatic spinal cord injury. J. Neurochem. 74,1646–1655.
Shweiki, D., et al., 1992. Vascular endothelial growth factor induced by hypoxia maymediate hypoxia-initiated angiogenesis. Nature 359, 843–845.
Sondell, M., et al., 1999. Vascular endothelial growth factor has neurotrophic activityand stimulates axonal outgrowth, enhancing cell survival and Schwann cellproliferation in the peripheral nervous system. J. Neurosci. 19, 5731–5740.
Storkebaum, E., Carmeliet, P., 2004. VEGF: a critical player in neurodegeneration. J. Clin.Invest. 113, 14–18.
Storkebaum, E., et al., 2004. VEGF: once regarded as a specific angiogenic factor, nowimplicated in neuroprotection. BioEssays 26, 943–954.
Sun, Y., et al., 2003. VEGF-induced neuroprotection, neurogenesis, and angiogenesisafter focal cerebral ischemia. J. Clin. Invest. 111, 1843–1851.
Svensson, B., et al., 2002. Vascular endothelial growth factor protects cultured rathippocampal neurons against hypoxic injury via an antiexcitotoxic, caspase-independent mechanism. J. Cereb. Blood Flow Metab. 22, 1170–1175.
Tator, C.H., Fehlings, M.G., 1991. Review of the secondary injury theory of acute spinalcord trauma with emphasis on vascular mechanisms. J. Neurosurg. 75, 15–26.
Thakker, G.D., et al., 1999. The role of phosphatidylinositol 3-kinase in vascularendothelial growth factor signaling. J. Biol. Chem. 274, 10002–10007.
Wang, Y., et al., 2006. Vascular endothelial growth factor improves recovery ofsensorimotor and cognitive deficits after focal cerebral ischemia in the rat. BrainRes. 1115, 186–193.
Xie, D., et al., 2006. An engineered vascular endothelial growth factor-activatingtranscription factor induces therapeutic angiogenesis in ApoE knockout mice withhindlimb ischemia. J. Vasc. Surg. 44, 166–175.
Yu, J., et al., 2006. An engineered VEGF-activating zinc finger protein transcriptionfactor improves blood flow and limb salvage in advanced-age mice. FASEB J. 20,479–481.
Zhang, Z.G., et al., 2000. VEGF enhances angiogenesis and promotes blood-brain barrierleakage in the ischemic brain. J. Clin. Invest. 106, 829–838.
Zhang, L., et al., 2002. Different effects of glucose starvation on expression and stabilityof VEGF mRNA isoforms in murine ovarian cancer cells. Biochem. Biophys. Res.Commun. 292, 860–868.
A Spinal Cord Window Chamber Model for In VivoLongitudinal Multimodal Optical and Acoustic Imagingin a Murine ModelSarah A. Figley1,2., Yonghong Chen3., AzusaMaeda4, Leigh Conroy4, Jesse D. McMullen3, Jason I. Silver3,
Shawn Stapleton4, Alex Vitkin3,4,5, Patricia Lindsay5, Kelly Burrell2, Gelareh Zadeh2,
Michael G. Fehlings1,2, Ralph S. DaCosta3,4,5*
1 Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada, 2 Toronto Western Research Institute, Krembil Neuroscience Program, University Health
Network, Toronto, Ontario, Canada, 3Ontario Cancer Institute, University Health Network, Princess Margaret Hospital, Toronto, Ontario, Canada, 4Department of Medical
Biophysics, University of Toronto, Toronto, Ontario, Canada, 5Department of Radiation Physics, University Health Network, Princess Margaret Hospital, Toronto, Ontario,
Canada
Abstract
In vivo and direct imaging of the murine spinal cord and its vasculature using multimodal (optical and acoustic) imagingtechniques could significantly advance preclinical studies of the spinal cord. Such intrinsically high resolution andcomplementary imaging technologies could provide a powerful means of quantitatively monitoring changes in anatomy,structure, physiology and function of the living cord over time after traumatic injury, onset of disease, or therapeuticintervention. However, longitudinal in vivo imaging of the intact spinal cord in rodent models has been challenging,requiring repeated surgeries to expose the cord for imaging or sacrifice of animals at various time points for ex vivo tissueanalysis. To address these limitations, we have developed an implantable spinal cord window chamber (SCWC) device andprocedures in mice for repeated multimodal intravital microscopic imaging of the cord and its vasculature in situ. Wepresent methodology for using our SCWC to achieve spatially co-registered optical-acoustic imaging performed serially forup to four weeks, without damaging the cord or induction of locomotor deficits in implanted animals. To demonstrate thefeasibility, we used the SCWC model to study the response of the normal spinal cord vasculature to ionizing radiation overtime using white light and fluorescence microscopy combined with optical coherence tomography (OCT) in vivo. In vivopower Doppler ultrasound and photoacoustics were used to directly visualize the cord and vascular structures and tomeasure hemoglobin oxygen saturation through the complete spinal cord, respectively. The model was also used forintravital imaging of spinal micrometastases resulting from primary brain tumor using fluorescence and bioluminescenceimaging. Our SCWC model overcomes previous in vivo imaging challenges, and our data provide evidence of the broaderutility of hybridized optical-acoustic imaging methods for obtaining multiparametric and rich imaging data sets, includingover extended periods, for preclinical in vivo spinal cord research.
Citation: Figley SA, Chen Y, Maeda A, Conroy L, McMullen JD, et al. (2013) A Spinal Cord Window Chamber Model for In Vivo Longitudinal Multimodal Optical andAcoustic Imaging in a Murine Model. PLoS ONE 8(3): e58081. doi:10.1371/journal.pone.0058081
Editor: Chin-Tu Chen, The University of Chicago, United States of America
Received June 19, 2012; Accepted January 30, 2013; Published March 14, 2013
Copyright: � 2013 Figley et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This research was funded in part by Cancer Care Ontario (DaCosta holds a CCO Research Chair in Cancer Imaging; https://www.cancercare.on.ca/), theCanadian Institutes of Health Research (awarded to Dr. DaCosta, reference number 93578; http://www.cihr-irsc.gc.ca/e/193.html) and the Ontario Ministry ofHealth and Long Term Care(http://www.health.gov.on.ca/en/). The funders had no role in study design, data collection and analysis, decision to publish, orpreparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
* E-mail: [email protected]
. These authors contributed equally to this work.
Introduction
Most in vivo imaging of the spinal cord in animals (and humans)
has been conducted using computed tomography (CT), magnetic
resonance imaging (MRI), diffusion tensor imaging (DTI) or
ultrasound imaging [1,2,3,4]. While these non-invasive imaging
techniques allow in vivo serial imaging of the cord in preclinical
models, image resolution is suboptimal for visualizing vital
microscopic anatomical structures, such as the vasculature and
neural tracts. Furthermore, such imaging techniques suffer from
poor tissue specificity, and typically require an exogenous contrast
agent to differentiate vasculature from solid tissue structures.
Alternatively, optical imaging could provide a unique and
powerful method of studying the intact spinal cord and its
vasculature in situ at structural and functional levels longitudinally
and at sub-micrometer resolutions (e.g. at the cellular level).
However, the anatomy and location of the intact spinal cord is
close to the heart and lungs, and therefore results in cord motion
during imaging. Thus, in vivo spinal cord imaging contains
inherent challenges for optical imaging compared to other central
nervous system (CNS) targets, such as the retina or cerebral cortex,
which can be readily accessed using in vivo optically-based imaging
techniques, either directly or via intracranial transparent window
chamber implants, respectively [1,5,6,7]. Moreover, the vascular
structures of the spinal cord are predominantly located in the grey
PLOS ONE | www.plosone.org 1 March 2013 | Volume 8 | Issue 3 | e58081
250
matter, making it difficult to image using traditional microscopy
techniques, such as confocal fluorescence microscopy as they are
unable to penetrate deep enough into the spinal cord tissue to
image the microvasculature of the grey matter [8,9].
To date, a few published reports have emerged on the use of
optical microscopy to visualize the mouse spinal cord in vivo. For
example, Kerschensteiner et al. used in vivo fluorescence imaging to
monitor individual fluorescent axons in the spinal cords of living
transgenic mice over several days after spinal injury [10]. Davalos
et al. used two-photon fluorescence imaging to study multiple
axons, microglia and blood vessels in the mouse spinal cord in vivo
[11]. Johannssen et al. labeled the superficial dorsal horn
populations with a Ca(2+) indicator, and were able to stabilize
the spinal cord sufficiently to permit functional imaging in
anaesthetized mice using two-photon fluorescence Ca(2+) micros-
copy [12]. Again, using two-photon fluorescence microscopy, Kim
et al. studied the migration of GFP(+) immune cells in the spinal
cord of CXCR6(gfp/+) mice during active experimental autoim-
mune encephalomyelitis using an intervertebral window approach
[13]. Dray et al. have successfully followed the dynamics of
degeneration-regeneration of injured spinal cord axons while
simultaneously monitoring the fate of the vascular network in the
same animal up to 4 months post-injury using multiphoton
fluorescence microscopy [14]. Finally, Codotte et al. recently
demonstrated the use of optical coherence tomography (OCT)
for structural and vascular imaging of the mouse spinal cord
without the use of a contrast agent; however, their studies did not
include repeated in vivo imaging [15]. These examples reflect
a major recent trend in spinal cord research to apply established
optical microscopy techniques to study the cord and its vascular
network in situ and over time at high resolution and in vivo.
However, a major drawback of all these approaches has been the
need for repeated surgeries to the vertebral column of the same
animal to expose the cord or, alternatively, animal sacrifice for ex
vivo tissue analysis.
Recently, Farrar et al. reported that they had overcome the
limitation of repeated surgical procedures by using a metal spinal
cord window chamber implanted between T11–T12 of the mouse
vertebral column for repeated optical imaging [16]. Briefly, the
spinal chamber held a glass coverslip in place and provided
continuous optical access to the cord for over five weeks, allowing
quantitative imaging of microglia and afferent axon dynamics after
laser-induced damage to the cord. Fenrich et al. also recently
developed a SCWC model to examine axonal regeneration
following a ‘pin-prick’ model of spinal cord injury [17]. While
these studies provide elegant designs for longitudinal in vivo spinal
imaging, both models utilize metallic components and conduct
multiphoton microscopy for high-resolution image acquisition.
However, metal devices are incompatible with other emerging
optically-enabled imaging techniques which could provide addi-
tional complementary biological information about the cord and,
in particular, its vasculature. For example, photoacoustic imaging
[18], which combines optical excitation and ultrasound detection,
can provide quantitative information about the vasculature
throughout the the full thickness of the cord at imaging depths
unacheivable with mutliphoton fluorescence microscopy. In
addition, multispectral photoacoustics can provide quantitative
information about the oxygenation status of the cord vasculature
[19,20]. Power Doppler ultrasound can also be used to determine
vascular density in vivo. Thus, while the window chamber
approach of Farrar et al. is a significant step forward for in vivo
optical imaging of the mouse spinal cord, it is limited to
mutliphoton fluorescence microscopy. Here, we report the de-
velopment and testing of an alternate design of a transparent
spinal cord window chamber (SCWC) implantable device
composed of either metal or polycarbonate materials for mice
(Figure 1; and rats, See File S1 and Figure S1) that overcomes the
need for repeated spinal surgeries. We demonstrate the feasibility
and utility of our approach to obtain multiparametic (morpho-
logical, structural, functional, and cellular) high-resolution imaging
data of the mouse spinal cord and its vasculature using multiple
complementary imaging techniques (including fluoresence micros-
copy, OCT, power Doppler ultrasound and photoacoustic
imaging) longitudinally and in vivo.
Methods
All animal procedures were conducted with approval from the
University Health Network Animal Care Committee (Animal Use
Protocol #2263 and #2609).
Mouse Window Chamber DesignsThe spinal cord window chamber (SCWC) devices were
modeled and designed using SolidWorksH software (SolidWorks
Corporation, Waltham, MA, USA) (Figure 1A). Window cham-
bers were 3D printed using a Fortus 3D Production printer
systems (Stratasys, Eden Prairie, MN, USA) using ABS-poly-
carbonate (Figure 1F) or machined to the same specifications out
of surgical grade stainless steel (Figure 1G). The metal SCWC
devices were used for X-ray irradiation experiments and sub-
sequent fluorescence and speckle-variance OCT (svOCT) imag-
ing. Since the metal device was thinner, it allowed for closer
contact between the tissue and imaging objective lenses. However,
since metal is incompatible with photoacoustic imaging, poly-
carbonate SCWC devices were installed in animals for the
photoacoustic and power Doppler ultrasound imaging. Both metal
and polycarbonate SCWC designs had eight circumferentially-
located holes for surgical sutures to secure the device to the dorsal
skin. The total weight of SCWC devices were 0.35 g (plastic) and
1.0 g (metal), which were well tolerated by the mice. The SCWC
coverslip had a diameter of 8 mm, permitting use of water-coupled
high-magnification microscope objective lenses for high-resolution
imaging in vivo. To restrain the mouse to the microscope stage
during imaging, four perpendicular extension arms were added to
the device to mechanically screw the animal to the microscope
stage, thus ensuring stability and minimizing movement during
intravital imaging (Figure 1). Standard glass coverslips of 8 mm
diameter (Cat. No. 5DE89, Grainger, Lake Forest, IL, USA) was
used for the mouse SCWC. Coverslips were held in place by
a metal ring clamp (Cat. No. 5DE89, Grainger, Lake Forest, IL,
USA) once the device was implanted in the animal.
Mouse Spinal Cord Window Chamber InstallationFemale athymic nude mice (NCRNU-F, Taconic, Hudson, NY,
USA) or C57BL6 (Jackson Laboratories, Bar Harbor, Maine,
USA) at 15–20 weeks, were anesthetized using a mixture of
ketamine (80 mg/kg) and xylazine (5 mg/kg) prior to surgical
installation of the SCWCs. Briefly, mice were placed in a sterile
surgical preparation area and the dorsal skin was disinfected with
70% isopropyl ethanol and 10% povidone-iodine. A 3–4 cm
incision, using a #15 blade scalpel, along the dorsal midline was
made in the lumbar region to expose the spine (Figure 1B), and
a two-level laminectomy at L2–L3 was performed using fine
scissors (Figure 1C and 1D). After exposing the spinal cord, India
ink (Pelikan, #221143, Hannover, Germany) was carefully applied
to the middle of the spinal cord using the tip of a sterile piece of
tissue paper, approximately the size of a 30 gauge needle. This
served as a landmark for longitudinal imaging, enabling us to
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 2 March 2013 | Volume 8 | Issue 3 | e58081
251
locate and track the same landmark between multiple imaging
sessions. Then, a small piece of customized artificial dura, made of
thin pliable and biocompatible silicon rubber (Eagerpolymers,
#0812, Chicago, IL, USA), was placed over the spinal cord to
prevent scar tissue formation (Figure 1E). The artificial dura was
prepared by polymerizing the optically transparent silicone rubber
with a curing agent (Cat. #0812, Eagerpolymers, Chicago, IL,
USA) to form a thin membrane which was spread in a Petri dish to
a thickness of 0.25 mm. A similar application of silicon rubber was
used by Shtoyerman et al. [21]. When the biocompatible artificial
dura was fully polymerized after 12 h, it was custom cut to size in
order to cover the exposed area of the spinal cord.
A sterile, light-weight SCWC device (Figure 1A) was implanted
and fixed to the superficial dorsal muscles and skin using standard
nylon sutures (Covidien, Syneture Monosof 5-0 sutures, Norwalk,
CT, USA) (Figure 1B). The SCWC was sutured tightly inside the
incision, with any additional skin being sutured together to create
a seal around the device. An 8 mm diameter glass coverslip was
placed inside the inner ring of the mounting device and then held
in place using a thin 8 mm diameter metal retaining ring. Animals
were administered anesthetics and underwent surgical procedures
for approximately 30 minutes each. Following surgical implanta-
tion of the device, mice were transferred to a temperature-
controlled recovery pad until awake and then returned to their
cages to fully recover. Animals were given oral antibiotics
(ClavamoxH) in water for 3 days following SCWC implantation
to prevent infection. At all times, with the exception of imaging
sessions, animals were allowed free access to food and water.
Figure 1. Mouse spinal cord window chamber (SCWC) device and surgical implantation procedures. (A) The SCWC device design anddimensions are shown. An 8 mm diameter glass coverslip was inserted into the SCWC device and held in place by a metal ring clamp once the deviceis surgically implanted into the mouse (shown in panel ‘‘F’’ and ‘‘G’’). Four radial extension arms have been built into the device in order to immobilizethe animal during imaging sessions. (B-E) Photographs showing step-by-step surgical procedures for implanting the SCWC in the mouse exposing thespinal cord at the L2–L3 vertebrae. (E) Artificial dura was placed on the dorsal surface of exposed spinal cord below the coverslip to prevent scartissue formation. Two separate devices were manufactured from either durable (F) polycarbonate or (G) light-weight surgical steel. Polycarbonatewas used to allow photoacoustic imaging in vivo. (H) X-ray images were taken following SCWC implantation to confirm the device had been placedover L2–L3 and demonstrate that the spinal cord and vertebrae remain structurally sound after implantation of the device. Scale bars = 1 cm.doi:10.1371/journal.pone.0058081.g001
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 3 March 2013 | Volume 8 | Issue 3 | e58081
252
Animals were monitored daily by veterinary staff for adverse
effects of the SCWC implants and any signs of decreased mobility,
infection, necrosis, or window chamber dehiscence.
Histology and ImmunostainingTo investigate the presence of an inflammatory or immune
response in the spinal cord caused by the surgical implantation of
the metallic and plastic SCWC devices, mice bearing chambers
were deeply anesthetized and transcardially perfused with 10%
formalin at 24, 48 and 72 h after implantation (n = 3 per group;
total n = 9) (Figure 2). Sham animals (naıve, no surgery or SCWC
implantation) were used as a control (n = 3). A 5-mm long section
of the spinal cord from directly below the SCWC was extracted
and fixed in 10% formalin for 24 hours and then embedded in
paraffin for tissue sectioning and histological staining. Tissues were
cut in longitudinal and axial sections, serially at a thickness of
4 mm, and fixed onto glass microscope slides (VWR, #48311-703,
Canada). Sections were stained with hematoxylin and eosin to
determine anatomical and cellular microstructures, and with Iba-1
(1:300, Cat. # 019-19741, Wako Chemicals USA, Richmond,
VA, USA) to assess inflammation following SCWC device
implantation [23,24]. Positive controls were used to confirm Iba-
1 reactivity of the antibody (mouse spinal cord tissue from 7 days
post-injury was used from animals receiving an 8 g clip-
compression spinal cord injury, as described previously by Yu
and Fehlings [25]).
White light micrographs were obtained of the H&E stained
tissue sections using a stereoscopic epifluorescence microscope
(Leica MZ FLIII, Leica Microsystems, Richmond Hill, ON,
Canada). For Iba-1, tiled images were taken at 20X magnification
using StereoInvestigatorH software (MicroBrightField Inc., Will-
iston, VT, USA), and images were quantified for fluorescent
intensity using ImageJ software (National Institutes of Health).
Data from each group was subject to a square-root transformation
(to adjust for any uneven distribution of normality and/or variance
within groups), and then a one-way ANOVA, with a Tukey post-
hoc analysis, was used to analyze the Iba-1 fluorescent intensity
data between control animals and SCWC animals at various time
points following implantation.
Western Blot AnalysisFollowing deep sedation, animals were sacrificed by decapita-
tion at 24, 48 or 72 hours following SCWC implantation (n = 3 per
group; total n = 9). Sham animals (naıve, no surgery or SCWC
implantation) were used as a control (n = 3). A 10 mm length of
the spinal cord centered under the SCWC was surgically removed.
Samples were mechanically homogenized in 100 ml of homoge-
nization buffer (0.1 M Tris, 0.5 M EDTA, 0.1% SDS, 1 M DTT
Figure 2. Visual and histological confirmation that SCWCimplantation does not damage the spinal cord structure orcause significant inflammation or infection. (A) White lightimages following SCWC implantation at 0, 1, 3 and 7 days showed nosigns of local infection, excessive bleeding around the installation site,or device rejection. SCWC remained optically clear for 29 days,permitting long-term high-resolution imaging of cord and vascularstructures. Yellow arrows indicate the location of the spinal cord. (B–E)Histological analysis and quantification of spinal cord tissue cross-sections cut directly below the caudal edge of the implanted SCWC. (B)H&E staining confirmed tissue morphology was intact after WCimplantation. (C) Representative Iba-1 immunohistochemistry imagesfrom spinal cords 24, 48 and 72 hours following SCWC implantation.Sham and spinal cord injury (SCI) (Iba-1 positive control) animals arealso shown for comparison. SCI positive control animals showeda significant increase in Iba-1 expression, * p,0.001. No notablechanges in Iba-1 expression in ex vivo spinal cord were observedbetween the SCWC implanted groups). (D) Western blot for Iba-1 priorto SCWC implant (sham), and at 24, 48, and 72 hours post-implantation
in athymic nude mice. (E) Bar graph representing the fluorescentintensity quantification of Iba-1, and no significant increase in Iba-1 wasobserved; n = 3 per group (p-values .0.212 for comparisons betweenall groups). (F) Bar graph showing quantification of Western blot data.Increases in Iba-1 protein were observed in animals receiving SCWCimplantation, although these increases were insignificant (p = 0.15);n = 3 per group. (G) Western blot for Iba-1 prior to SCWC implant (sham)(n = 3), and at 24 hours (n = 4), 3 days (n = 3), 10 days (n = 3) and 28 days(n = 3) post-implantation in C57BL6 mice. (H) Bar graph showingquantification of Western blot Iba-1 data (C57BL6 mice). No significantincreases in Iba-1 protein were observed (p = 0.405). It is anticipatedthat the slight increases in Iba-1 in the athymic nude mice may be dueto the laminectomy and surgical procedures performed. b-Actin wasused as a protein loading control. Scale bars = 400 mm. Data wastransformed (square-root transformation) and analyzed using a one-way ANOVA; Tukey post-hoc analysis. SCWC= spinal cord windowchamber.doi:10.1371/journal.pone.0058081.g002
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 4 March 2013 | Volume 8 | Issue 3 | e58081
253
solution, 100 mM PMSF, 1.7 mg/mL aprotinin, 1 mM pepstatin,
and 10 mM leupeptin) and centrifuged at 15,000 rpm for 10
minutes at 4uC. Supernatants were extracted and used for Western
blot analysis, where 10 mg of protein was loaded into 12%
polyacrylamide gels (Bio-Rad, Mississauga, Canada). Membranes
were probed with primary anti-Iba-1 antibody (1:500, Cat. # 016-
20001, Wako Chemicals USA, Richmond, VA, USA). Primary
antibodies were labeled with horseradish peroxidase-conjugated
secondary antibodies (goat anti-rabbit IgG, 1:2000; Jackson
ImmunoResearch Laboratories, West Grove, PA, USA), and
bands were imaged using an enhanced chemiluminescence (ECL)
detection system (Perkin Elmer, Woodbridge, Canada). Mouse
monoclonal beta-actin (Chemicon International, Inc., Temecula,
CA, USA) was immunoblotted as a loading control as per standard
protocol. Gel-Pro AnalyzerH software (Media Cybernetics,
Bethesda, MD, USA) was used for integrated optical density
(OD) analysis and quantification of Iba-1 protein expression
(Figure 2). Data from each group was subject to a square-root
transformation (to adjust for any uneven distribution of normality
and/or variance within groups), and then a one-way ANOVA was
used to statistically analyze the data between naıve and SCWC
implanted groups. A Tukey post-hoc was applied.
X-ray Micro-irradiation and Vascular InjuryTo demonstrate the feasibility of using the mouse SCWC for
imaging radiation response of the spinal cord and its vasculature
in vivo, we delivered ionizing radiation to the spinal cord using
a custom-designed small animal X-ray microirradiator system
(XRad225Cx, Precision X-Ray Inc., North Branford, CT, USA)
(Figure 3A). The fully automated microirradiator system was
controlled using a computer system that integrates cone beam
computer tomography (CT) imaging with focused X-ray delivery
technology, and was able to deliver a single focal radiation beam at
a dose of 30 Gy with a diameter of 3 mm directly to the spinal
cord at 2.5 Gy/min. The X-ray tube was mounted on a rotating
gantry with a flat panel detector located opposite to the isocenter,
which facilitated imaging and irradiation of the target at any given
angle. The irradiator was calibrated to ensure accurate dose
delivery with tissue phantoms using methods previously described
[22].
Figure 3. SCWC model permits X-ray microirradiation of the spinal cord in situ. (A) Anaesthetized mice were placed directly under themicro-irradiation collimator of the small animal irradiator for delivery of X-rays to the spinal cord through the coverglass of the window chamber. (B,C) In situ fluoroscopic imaging was used for image-guided delivery of the X-ray beam (centered on the crosshairs) to the spinal cord. (D) Custom fitradiochromic film was used to confirm the location of the irradiation beam which had a 3 mm diameter (as seen by the dark blue circle). Scalebar = 1 cm. SCWC= spinal cord window chamber.doi:10.1371/journal.pone.0058081.g003
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 5 March 2013 | Volume 8 | Issue 3 | e58081
254
Prior to irradiation, mice were anaesthetized by intraperitoneal
injection of ketamine (80 mg/kg) and xylazine (5 mg/kg) and were
secured on the stage at the radiation isocenter (n = 5). Fluoroscopy
images of anatomical features of the animal and the integrated
targeting software were used to align the center of the target to the
isocenter of the radiation beam in the three axes (X,Y,Z) by
automatic movement of the stage for an anterior-posterior (AP/
PA) radiation treatment. Radiation dosimetry was performed
using radiochromic EBT film (ISP Inc., Wayne, NJ, USA)
consisting of a radiosensitive monomer that polymerizes upon
irradiation. A white light image of the mouse was taken using
a stereoscopic epifluorescence microscope (Leica MZ FLIII, Leica
Microsystems, Richmond Hill, ON, Canada) immediately after X-
ray irradiation in order to visualize and spatially define the
radiation field to permit accurate spatial localization of the
treatment dose for subsequent intravital fluorescence imaging.
Intravital White Light and Fluorescence ImagingIn vivo white light and fluorescence imaging were performed on
mouse spinal cords at 1, 24, 48 hours, and up to 5 days after
irradiation (n = 5). Prior to each imaging session, mice were
anaesthetized by intraperitoneal injection of ketamine (80 mg/kg)
and xylazine (5 mg/kg) and placed within the custom-made
animal restraint and secured to the microscope stage with an
embedded heating pad to maintain the animal’s body temperature
during imaging.
White light and fluorescence macroscopic images of the spinal
cord were acquired through the transparent glass coverslip of the
window chamber using a stereoscopic epifluorescence microscope
(Leica MZ FLIII, Leica Microsystems, Richmond Hill, ON,
Canada). To visualize the spinal cord vasculature, FITC-
conjugated dextran (0.65 mg/mouse, MW = 20 kDa; Sigma–
Aldrich Corporation Ltd, Oakville, Canada) was administered
intravenously by tail vein prior to fluorescence imaging, and then
imaged using a 470 nm excitation filter set. Using this method,
macroscopic imaging allowed for the determination of radiobio-
logical changes to the spinal cord tissue and vasculature at the sub-
millimeter scale.
Intravital Bioluminescence and Fluorescence Imaging ofTumor Metastases In Vivo
To demonstrate the feasibility of using the mouse SCWC for
imaging tumor micrometastases in vivo, we used an inverted
confocal fluorescence imaging microscope (LSM510 Laser Scan-
ning Confocal Microscope, Carl Zeiss, Jena, Germany) to visualize
microvasculature and the micrometastases of WW426 medullo-
blastoma cells (both fluorescent and bioluminescent, expressing a c-
myc-GFP tag and Luc-RFP reporter construct) which were
injected intracranially 28 days prior to in vivo imaging. Cell culture:
WW426 cells were grown as adherent culture using
DMEM:FBS(10%) heat inactivated in standard non-treated tissue
culture. The cell line is predisposed for myc-C(GFP) cells to
become unattached, but the GFP (myc) signal has a positive
feedback loop whereby high myc-C(GFP) signal is required to
sustain high levels of myc-C(GFP). Thus, it was essential that the
floating cells are retained in the culture both during feeding and
splitting. When the cells reached 60–80% confluency, they were
split 1:3 (approximately every 5 days). Old media was removed
Figure 4. Longitudinal optical imaging of radiation response of the normal spinal cord and its vasculature through the SCWC.Whitelight, wide-field fluorescence, and svOCT images were taken at (A) 1 day before, (B) 1 hour, (C) 24 hours, and (D) 48 hours following a single 30 Gyradiation dose to the cord. White light images revealed significant radiation-induced hematoma in the spinal cord two days after irradiation (arrows).FITC-dextran was injected intravenously prior to acquiring the fluorescence images at each time point. Fiducial markers consisting of India ink (blackdots shown by arrows) on the white light images were used to as spatial landmarks to allow identification and long-term imaging of vascularstructures. Compared with vascular function, corresponding en-face projected svOCT images revealed that the posterior spinal cord vein and othervasculature did not suffer significant short-term radiation-induced structural damage. Scale bar = 1 mm. SCWC= spinal cord window chamber.svOCT= speckle variance optical coherence tomography.doi:10.1371/journal.pone.0058081.g004
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 6 March 2013 | Volume 8 | Issue 3 | e58081
255
from the flask, with floating cells, and kept in a 15 mL tube. 1 mL
trypsin was added to the flask and then placed at 37uC for 5
minutes, or until the cells dissociated. The trypsin was neutralized
with existing culture media, and the suspension was centrifuged to
retrieve all cells.
Cell transplantation. The skulls of athymic nude mice
(n = 10) were surgically exposed and bur-holes were carefully
drilled to allow access to the posterior cerebellum. 46105 cells
(total volume 10 ml) were injected 2–3 mm deep into the
cerebellum at a rate of 2 ml/minute (n = 3). The needle remained
in the brain for 1 minute after the injection to prevent fluid
backflow.
The primary intracranial WW426 medulloblastoma tumors
took approx. 3 weeks to grow and then metastasize to the spinal
cord, and some animals did not develop spinal metastases in these
experiments. Our intention was to determine whether our WC
model was capable of imaging tumor micrometastases occurring in
the spinal cord in vivo, as a proof-of-concept. To test this, we used
in vivo bioluminescence imaging to non-invasively track the tumor
growth in the brain in the whole animal from the time of the initial
tumor cell implant prior to surgical implantation of the WC
device, since our previous experience with this tumor line showed
it was slow growing. This enabled us to implant the WC only once
the primary brain tumor was sufficiently grown and metastases to
the spine were likely. Bioluminescence imaging was performed
using an IVIS Spectrum imaging system (Caliper, MA, USA) by
injecting luciferin substrate intraperitoneally (150 mg/kg) prior to
each bioluminescence imaging session. We then implanted the
SCWC devices 27 days after intracranial tumor seeding and used
bioluminescence to confirm the presence of medulloblastoma
micrometastases within the spinal cord through the transparent
coverslip window.
Figure 5. SCWC permits structural, functional and oxygenation imaging of the intact spinal cord vasculature in situ. (A) PowerDoppler ultrasound (color) overlaid on a B-mode structural ultrasound (gray-scale) image obtained through the polycarbonate SCWC alonga longitudinal section of the normal spinal cord in vivo (device is shown in Figure 1F). The power Doppler depicts vascular architecture in severalvessels of the spinal cord. The color bar represents the signal intensity. (B) Corresponding multispectral photoacoustic imaging of the same crosssection of normal spinal cord permitted in situ measurement of hemoglobin oxygen saturation in the anterior spinal artery and posterior spinal vein.It demonstrated that the cord is well oxygenated. The color bar represents the relative hemoglobin oxygen saturation level. (C) Cross-sectionalDoppler OCT image demonstrated significant blood flow in the posterior spinal vein. The color bar represents the phase-shift of the backscatteredlight in radians which is proportional to the velocity of the red blood cells in the axial direction. (D) Corresponding structural OCT image of the spinalcord permitted visualization of key spinal cord features, including the glass coverslip (1), anterior spinal vein (2), white matter (3), and grey matter (4)of the intact cord. Scale Bars = 500 mm (A–D). SCWC= spinal cord window chamber. OCT=optical coherence tomography.doi:10.1371/journal.pone.0058081.g005
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 7 March 2013 | Volume 8 | Issue 3 | e58081
256
Since the tumor cells were GFP-positive, TRITC-conjugated
dextran was used to image the vasculature, and was administered
intravenously via the tail vein prior to fluorescence microscopy
(100 mg/kg body weight, MW = 155,000 Da; Sigma–Aldrich
Corporation Ltd, #T1287, Oakville, Canada). A Zeiss LSM510
confocal fluorescence microscope (Carl Zeiss, Jena, Germany) was
used to observe the location of the micrometastases in relation to
the vasculature. A 56Fluar objective (Carl Zeiss, Jena, Germany)
was used for intravital confocal fluorescence microscopy of the
cord as it had a 12.5 mm (NA 0.25) working distance and allowed
a wide area of the cord to be imaged without the need for tiling of
multiple images. Animals were imaged 1 day following SCWC
implantation (28 days post-cell transplantation).
Optical Coherence Tomography (OCT) ImagingOptical coherence tomography (OCT) was used for depth
resolved three dimensional structural and functional imaging of
the spinal cord and its vasculature in vivo. Imaging was performed
on anesthetized mice with a swept-source OCT system described
previously [22]. Briefly, a 36-kHz swept laser source with
a sweeping range of 110 nm centered at 1310 nm was used to
acquire depth resolved structural images of the intact in vivo spinal
cord up to ,2 mm in depth with an axial resolution of ,8 mm
and a lateral resolution of ,13 mm. Three dimensional structural
OCT images were acquired over 2.5 mm63 mm regions of the
cord within the window chamber.
Speckle variance OCT (svOCT) is a functional extension of
OCT that enabled depth resolved three-dimensional imaging of
in vivo spinal cord vasculature as small as ,20 mm in diameter
without the use of exogenous contrast agents [22]. The difference
in the temporal speckle statistics of blood and solid tissues provides
the contrast in svOCT. Three dimensional vascular images were
acquired over the same 2.5 mm63 mm region as the structural
images and vascular contrast was obtained by computing the
interframe speckle variance over four consecutive B-mode images.
svOCT is highly sensitive to motion such as breathing and
heartbeat; therefore mice were secured in a custom holding frame
to minimize motion artifacts.
Unavoidable motion artifacts caused by breathing created
bright streaks through the images in the scanning direction and
were minimized by applying a 363 median filter in the depth
direction, followed by a clamp to remove low-intensity pixel
values.
Doppler OCT imaging enabled real-time visualization of blood
flow in the posterior spinal vein. Two-dimensional B-mode
Doppler images were formed using the Kasai estimator to
determine the phase shift of scattering red blood cells over
consecutive A-scans [23]. Doppler imaging was performed with
2000 A-scans over a 1 mm region centered on the posterior spinal
vein with an ensemble length of eight. The imaging head was
angled ,15u relative to the surface of the chamber, providing
a Doppler angle of ,75u. (n = 4, for svOCT and Doppler OCT
imaging. Imaging parameters were optimized during OCT
sessions, using 3 mice).
Ultrasound and Photoacoustic ImagingIn vivo ultrasound, power Doppler, and photoacoustic imaging
of the polycarbonate (plastic – Figure 1F) SCWC-bearing animals
were performed using the Vevo2100 and Vevo LAZR systems
(VisualSonics Inc., Toronto, ON, Canada) with a 40 MHz centre
frequency transducer (LZ-550, VisualSonics Inc., Toronto, ON
Canada) at 24 hours following SCWC implantation (n = 2). These
experiments were conducted as terminal, end-point procedures.
The vascular hemoglobin oxygen saturation (sO2) was determined
by irradiating the window chamber with light of two different
wavelengths (750 nm and 850 nm). The built-in software on the
Vevo LAZR system automatically calculated sO2 based on the
received photoacoustic signals. The energy density of the laser
beam at the surface of the window chamber was approximately
3 mJ/cm2. The glass coverslip was not acoustically compatible;
therefore it was removed for these experiments. Sterile coupling
gel (LithoClear, Sonotech, Washington, USA) was applied to the
artificial dura above the spinal cord to facilitate the transmission of
acoustic waves between the tissue and ultrasound transducer,
therefore reducing air-tissue interface-based imaging artifacts.
Three-dimensional co-registered power Doppler and sO2 mea-
surements of the spinal cord were performed while the mouse was
breathing 100% oxygen mixed with 2% isoflurane for approx-
imately 20 minutes. In addition, during photoacoustic imaging, the
hemoglobin oxygen saturation recovery dynamics of the spinal
cord were measured by shifting the animal’s anesthetic mixture
from 100% to 7% oxygen for 1 minute. Quantification of the sO2
recovery measurement was performed in a region of interest
around the spinal cord in a single imaging plane. Post-processing
of sO2 and power Doppler images was performed using Amira
(Visage Imaging, San Diego, CA, USA). A median filter was
applied to the sO2 data set to reduce the effects of clutter. The data
sets were overlaid with an anatomical B-Mode image.
Results
Spinal Cord Window Chamber Design and ImplantationIn the present study, we designed and developed two types of
spinal cord window chamber (SCWC) devices (metal and plastic)
and the procedures to surgically implant them in mice to permit
longitudinal high-resolution multimodal optical and acoustic
imaging of the spinal cord and its vasculature (Figure 1A). Our
SCWC device was easily implanted following a two-level
laminectomy at L2–L3 (Figures 1B–1E, 1H) with both poly-
carbonate (Figure 1F) and metal (Figure 1G) compositions to
permit in situ imaging of the cord and its vasculature using a several
complementary intravital optical imaging modalities. The devices
Figure 6. Hemoglobin oxygen saturation (sO2) measurementmade using in vivo photoacoustic imaging. Baseline vascular sO2
was measured in situ for 1 minute while the animal breathed 100%oxygen mixed with 2% isoflurane. The animal was shifted to breathing7% oxygen mixed with 2% isoflurane for an additional 1 minute. Theoxygen concentration was then returned to 100%.doi:10.1371/journal.pone.0058081.g006
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 8 March 2013 | Volume 8 | Issue 3 | e58081
257
Figure 7. Intravital multispectral fluorescence microscopic imaging of medulloblastoma tumor metastasis to the spinal cord. (A) Invivo bioluminescence images of mice 7 days following intracranial tumor implantation of human WW426 medulloblastoma tumor cells,demonstrating local tumor growth. (B) SCWC was implanted 27 days after tumor implantation, when metastatic GFP+ tumor cells to the spinal cordcould be seen using both BLI and intravital two-photon images (color bar indicates bioluminescence signal intensity; BLI units are photons/s/cm2/Sr).The head of the mouse was covered in ‘‘B’’ to reduce the bioluminescence signal from the brain in order to detect lower bioluminescence from thetumor micrometastases. (C) Wide-field fluorescence imaging and (D) confocal fluorescence microscopy of the SCWC-bearing mouse 28 days afterinitial tumor implantation (1 day post-SCWC installation). The outline of the spinal cord is highlighted with the orange dotted line in ‘‘C’’. TRITC-dextran shows the posterior spinal cord vein. The arrows in ‘‘C’’ and ‘‘D’’ indicate the location of multiple tumor micrometastases in close proximity tothe spinal cord vasculature. Scale bars = 1 mm. SCWC= spinal cord window chamber. BLI = bioluminescence imaging.doi:10.1371/journal.pone.0058081.g007
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 9 March 2013 | Volume 8 | Issue 3 | e58081
258
were light weight and the animals tolerated them well for up to 1
month (See Video S1).
In a cohort of (non-irradiated) animals, we investigated the
possibility of the implanted SCWC devices causing local swelling
and/or infection at the surgical site, and examined the spinal tissue
directly below the window chamber for tissue damage and
inflammation. White light images following SCWC implantation
showed no visible hallmark signs of local infection or device
rejection at day 0, 1, 3 or 7 after SCWC implantation (Figure 2A).
There was no microstructural damage to the cord as determined
by ex vivo histological assessment using hematoxylin and eosin
staining in animals 24, 48 and 72 hours post-SCWC implantation
(Figure 2B). Furthermore, using ex vivo immunostaining of Iba-1,
an indicator of macrophage/microglia activation and inflamma-
tion, we confirmed that there was negligible inflammation in spinal
cord tissues from the time of the device implantation and up to
72 h after implantation, thereby indicating that the SCWC device
did not cause injury to the cord (Figure 2C, E). In contrast, spinal
cord injured (SCI) mice at 7 days post-injury, used as a positive
control for Iba-1 staining, showed an increase in Iba-1 expression,
which is consistent with previous reports [26,27]. In addition,
Western blot analysis and quantification of Iba-1 protein further
indicated a lack of an inflammatory response in the area below the
SCWC (Figure 2D, F). Although we observed a slight increase in
Iba-1 protein in animals with SCWC implanted, this increase is
likely due to the surgery and two-level laminectomy performed in
these animals, rather than the installation of the window chamber
mount itself. Sham animals, which did not receive a laminectomy,
were used as the control group for Iba-1 protein quantification.
Sham animals showed reduced Iba-1 expression; however, when
compared to C57BL6 or athymic nude animals with SCWCs
installed, no considerable changes in Iba-1 expression were
observed (p = 0.15). Overall, the data suggest that implanting
our SCWC design over the spinal cord is feasible in vivo, and does
not result in any discernible damage to the spinal cord tissue.
The SCWC remained optically clear for up to 29 days of
imaging, after which point the devices detached (suture failure)
and tissue growth into the window chamber area prevented
further imaging. On average, SWCWs remained optically clear for
21 days without need for intervention; however, if required, mild
tissue growth into the window chamber area was easily removed
prior to imaging, allowing imaging to be conducted out to 29 days.
The replacement of coverslips between imaging sessions was
simple and rapid (e.g. a few minutes). The devices that we
developed were easily sterilized by autoclave (for metal device) or
surgical disinfectant (for plastic device) and were compatible with
commercially-available glass coverslips of standard diameter.
Based on our qualitative observations and quantitative (ex vivo)
assessments following SCWC implantation, we observed that the
SCWC devices did not cause physical or biological damage to the
spinal cord or its vasculature. Thus, the surgical implantation
procedure or the prolonged use of an in vivo SCWC did not
compromise the integrity or the interpretation of imaging data
obtained in order to study the effect of a given treatment by
differentiating it from background biological response (e.g. that
might have occurred due to inflammation after surgical implan-
tation) (Figure 2).
Intravital Imaging of Radiation-induced Changes toSpinal Cord Vasculature
To demonstrate the utility of the animal model, we used our
SCWC model to study the biological response of the spinal cord
and the vasculature to X-ray irradiation. We specifically selected
a microirradiation approach to induce vascular damage, because it
could be delivered in a controlled, spatially-localized, and
reproducible manner using the small animal X-ray microirradiator
(Figure 3A, B, C). A benefit of using an implanted SCWC device
was that imaging of the cord could be performed in vivo before and
serially after irradiation in the same animal. Thus, each animal
could act as its own experimental pre-treatment control. This
reduced the number of animals required for experiments, as well
as controlled for individual differences in vascular organization
and branching within each mouse spinal cord.
Consistent with previous studies of spinal cord irradiation
[28,29,30], we observed significant radiation-induced hematoma
in the spinal cord white matter two days after a single 30 Gy
irradiation with a 3 mm beam diameter (Figure 3D, 4). FITC-
dextran was injected intravenously prior to acquiring the
fluorescence images at each time point to visualize spinal cord
vasculature, and revealed significant decrease in vascular function
in the posterior spinal cord vein and vasculature, as a result of
radiation-induced damage. These vascular changes occurred as
early as 24 h after treatment and worsened at day 2 (Figure 4).
Moreover, we observed significant radiation-induced hematoma in
the spinal cord white matter 2 days after a single 30 Gy
irradiation, which is consistent with the literature [28]. Increase
in vascular permeability occurred following irradiation, as seen by
the leakage of FITC-dextran from intact vasculature. Edema and
extravasation of red blood cells due to an increase in vascular
permeability following irradiation has been observed previously
[29,30]. Compared with this radiation-induced vascular dysfunc-
tion, corresponding svOCT images revealed that the posterior
spinal cord vein and vasculature did not suffer from significant
radiation-induced structural damage over the same 2 day period.
We used India ink markers placed directly on the cord surface as
spatial landmarks to allow identification and serial imaging of the
same vascular structures without the need for image alignment
post-acquisition. These data illustrated that the SCWC could be
used to follow the radiobiological response of the cord and its
vasculature at morphological, microstructural, and functional
levels. Fluorescence and svOCT imaging enabled clear in vivo
longitudinal imaging of the posterior vein as well as the
microscopic radial-branching vessels of approximately 25 mm
diameter. svOCT was able to resolve vessels and spinal cord
structure up to 500 mm in depth. Images were of high quality and
had sufficient signal-to-noise ratios as determined by comparison
between background fluorescence and svOCT intensities.
Intravital Power Doppler Ultrasound, Photoacoustic andDoppler OCT Imaging of the Spinal Cord and itsVasculature
To further demonstrate the use of the SCWC model for other
complementary imaging techniques we used power Doppler
ultrasound to highlight the vascular network of the spinal cord
(Figure 5A) [31]. Using the same animal, we measured sO2 in the
intact spinal cord using multispectral photoacoustic imaging
(Figure 5B). However, since power Doppler is more sensitive to
the detection of small vessels compared to photoacoustics, the data
shown in Figure 5A (power Doppler; see Video S2) displayed an
increased number of vascular structures in comparison to
Figure 5B (photoacoustics; see Video S2). Our SCWC method
permitted image-based sO2 measurements in spinal vessels that
would not have been possible without a laminectomy, since the
vertebrae would have prevented effective photoacoustic imaging.
Our method overcomes the impractical limitations involving the
use of traditional oxygen electrodes which must be placed within
the spine to measure vascular/tissue oxygenation and which only
measure sO2 in one small tissue volume (,1 mm3) at a time,
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 10 March 2013 | Volume 8 | Issue 3 | e58081
259
requiring the needle to be moved many times for multiple
measurements and possibly causing traumatic tissue damage to the
cord [32]. We also demonstrated the ability to measure sO2
recovery in real time (Figure 6; see Video S3). We found that
transitioning the mouse from breathing 100% to 7% oxygen for 1
minute decreased sO2 by approximately 23% and took approx-
imately 30 sec to return to baseline values (Figure 6; see Video S3).
Combining power Doppler ultrasound and spatially co-registered
photoacoustic imaging of the same mouse spinal cord enabled
tracking of vascular structure and sO2 dynamics in the same
mouse over time.
We also demonstrated the feasibility of using in vivo Doppler
OCT to image blood flow, while simultaneously capturing the
cross sectional structure of the spinal cord (Figure 5C, D). Doppler
OCT was able to image the posterior spinal vein only, compared
with photoacoustic or power Doppler ultrasound which provided
deeper tissue penetration to the anterior side of the cord. However,
a major advantage of OCT imaging was the ability to spatially
resolve anatomical microstructures of the spinal cord itself
(Figure 5D; see Video S4 and Video S5), which was not possible
using ultrasound imaging alone.
SCWC Allows for Visualization of Micrometastases in theSpinal Cord
To further highlight an additional preclinical research use of the
SCWC model, we demonstrated the intravital visualization of
tumor micrometastases within the spinal cord originating from
WW426 medulloblastoma cells transplanted intracranially
(Figure 7A). Using bioluminescence imaging (BLI), we were able
to track the migration of tumor cells down the spinal cord until
they were directly under the SCWC (28 days post-transplant)
(Figure 7B). Using epifluorescence microscopy, we were able to
identify localized tumor micrometastases at L2–L4, immediately
under the SCWC (Figure 7C). Furthermore, using TRITC-
dextran to mark the spinal vessels, we observed that the metastases
were in close proximity (up to 600 mm away) to the posterior spinal
vein where they could access oxygen and nutrients (Figure 7D).
Discussion
We have developed a new transparent window chamber device
and surgical implantation protocol for mice that overcomes the
inherent limitations of many previous in vivo spinal cord imaging
studies. In comparison to the SCWCs developed by Farrar et al.
and Fenrich et al., we have designed an alternative device, which is
compatible with additional optically-enabled imaging techniques,
e.g. photoacoustics, to obtain important complementary structur-
al, functional and oxygenation information about vasculature
in vivo. Our device design and surgical implantation methods are
less complex and easily implemented for in vivo spinal cord
imaging. Overall, this model enables direct in vivo, intravital
multimodal imaging of healthy and diseased spinal cord and its
vasculature over time. White light imaging provided high-
resolution information about cord anatomy and vasculature,
including hemorrhage that may occur as a result of damage cause
to the cord by irradiation [28]. When combined with injectable
fluorescent blood contrast agents, such as FITC- or TRITC-
dextran, intravital confocal fluorescence microscopy imaging
provided high intensity contrast-based images of the spinal cord
vascular network for vessels as small as ,25 mm in diameter.
svOCT provided a contrast agent-free method of imaging the
structure of blood vessels of the spinal cord. A limitation of both
fluorescence and svOCT in imaging the spinal cord of mice is the
lack of tissue-penetration to image through the full thickness of the
cords, which is approximately 1.5 mm in mice [33]. Using
photoacoustic imaging, the oxygenation level of the cord
vasculature was quantified while power Doppler ultrasound
provided visualization of vascular architecture through the
complete thickness of the spinal cord. Thus, our SCWC model
could be a useful tool for future imaging studies of vascular events
following spinal cord injury and their contribution in pathogenesis
[34].
The SCWC also permitted the use of a small animal micro-
irradiator to focally treat the spinal cord directly with X–rays,
followed by the imaging of the radiobiological response of the cord
and the vasculature in situ over time. To our knowledge, this is the
first attempt to study the spinal cord vascular response to radiation
in mice over time using a transparent spinal cord window chamber
and multimodal intravital optical imaging approach. Our results
demonstrated the feasibility of this new method for studying the
spinal cord vasculature and the sensitivity of this approach to
radiobiological changes associated with morphology, structure and
function induced by a single dose of 30 Gy. The small animal
microirradiator is capable of delivering a variety of clinically-
relevant radiation therapy doses and treatment regimens (e.g.
single and multiple fractions) in a variety of treatment beam
geometries [22]. When combined with our SCWC murine models,
the microirradiator system could offer an important new pre-
clinical experimental platform for studying the radiobiological
response of the spinal cord in murine models (including in the
presence of primary and metastatic tumors) longitudinally and at
cellular resolution [35]. This has not been possible to date despite
significant work on spinal cord radiobiology and ischemia [36,37].
Another application of the SCWC models could be for preclinical
studies of photodynamic therapy of spinal cord tumors and
metastases [38], such that tumors could be irradiated by light and
then imaged with optical and/or other imaging techniques (e.g.
ultrasound) over time to measure the response of various tissue
components. We have demonstrated that fluorescence microscopy
can be used with our SCWC model to visualize tumor
micrometastatic colonies in relation to the spinal cord and its
vasculature. This approach could allow the study of spinal cord
pathophysiology of metastatic spread as well as tumor angiogenesis
at cellular-level resolution in vivo in future studies; however, the
system will require optimization to reduce motion (breathing)
artifacts during in vivo imaging. In addition to demonstrating the
capacity to identify and track tumor cells in vivo, our model, when
combined with high-resolution microscopy, may have the poten-
tial to observe cell-cell interactions (i.e. oligodendrocyte-neuron)
and cell motility (i.e. leukocyte trafficking through diapedesis),
which may be beneficial for visualizing CNS regeneration or
monitoring a localized inflammatory responses, respectively.
There is also a growing body of evidence pointing to the existence
of a subset of tumor cells with high tumorigenic potential in many
spine cancers that exhibit characteristics similar to stem cells [39].
Our intravital SCWC experimental model could be useful for such
emerging biological studies.
While there have been previous studies reported on in vivo
optical imaging of the spinal cord, they have required repeated
surgeries to remove the skin to access the cord for longitudinal
imaging [10,11,12,13,14,15,16,40,41]. Recently, two studies have
demonstrated the implementation of a transparent window
chamber approach to facilitate serial optical imaging of the spinal
cord in vivo; however, their SCWC have differed in materials and
design in comparison to our model [16,17]. In contradistinction to
our design, their spinal chamber incorporated metal components
situated deep in the vertebral column, and were located adjacent
to the vertebrae (although not in direct contact with the spinal
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 11 March 2013 | Volume 8 | Issue 3 | e58081
260
cord). These metal components stabilized the cordduring imaging
and the authors state that this technique produced a moderate
inflammatory response in the cord (microglial density was
increased at both 1d and 7d post-implantation). In our model,
we developed a chamber that was not fixed to the vertebrae, yet
still permitted optical imaging with few motion artifacts. Our
design involved components that are located superficially to the
spinal cord (implanted and stablizied in the dorsal skin/muscle),
preventing any contact between the spinal cord and the SCWC
device. In addition, unlike the Farrar and Fenrich designs, which
include metallic components, our plastic spinal chamber enabled
the use of real-time multispectral photoacoustic and ultrasound
imaging in addition to the fluoerscence and svOCT imaging
in vivo. This is the first time that OCT imaging has been performed
longitudinally in the in vivo spinal cord, and the first time
photoacoustic imaging has ever been used to image the spinal
cord in vivo. Thus, using a plastic chamber increased the number
of additional compatible imaging techniques that could be used to
study the spinal cord in greater detail. The transparent SCWC
model could offer a method of precise delivery of either ionizing or
ablative optical energy to the cord with a potential role in studies
of cellular-based regenerative enhancement of spinal cord injury
repair [42].
Our SCWC experimental model is practical, easy to use, and
involves a single surgical procedure to implant the window
chamber, which minimizes the possibility of focal traumatic
damage caused by repeated surgical exposure of the spinal cord. In
contrast to Farrar et al., we did not observe considerable local
tissue inflammation in the cord, as demonstrated by negligible
changes in Iba-1 expression in cord tissues after implantation
(Figure 2). This suggests that a SCWC implanted more
superficial/dorsal, rather than directly adjacent to the vertebral
column, may be a more effective model that does not induce
significant inflammation. Further, no motor-function deficits or
neuropathology were observed in the chamber-bearing mice (See
Video S1). Importantly, the metal and plastic spinal chambers were
designed to be lightweight and to minimize discomfort to the
animal as well as interference to the normal activities (e.g. feeding,
drinking, grooming, locomotion, etc.) of the animal. Therefore, the
SCWC we have developed for long term chronic imaging of the
normal and diseased spinal cord, including after radiation
treatment, is a robust, reproducible, and a useful murine
experimental model for imaging the spinal cord and its vasculature
with optically-enabled intravital imaging techniques.
Additionally, we have recently extended the SCWC model from
mice to rats (See File S1 and Figure S1). By developing a rat SCWC
model, we open the possibility of experimental studies in a larger
murine model that more accurately represents the human spinal
cord. This is important for studying the pathophysiology and
development of the cystic cavity following spinal cord injury (See
File S1) [43,44].
While our SCWC model overcomes previous challenges in
optical imaging of the living spinal cord, we have recognized a few
limitations. Firstly, our chambers were designed with an inner
diameter of 8 mm, which is wide enough to fit standard
microscope objective lens (from 1X –60X), yet had an overall
size and profile that were small enough to avoid restricting animal
movement after implantation. However, an 8 mm diameter
transparent window to the spinal cord allows microscopic
observation of the spinal cord for only 2 to 3 spinal segments at
the most. Increasing the size of the chamber would require more
vertebral segments to be removed and we found this risked
fracture of the vertebral column. For the purposes of longitudinal
and localized optical imaging of tissue, cellular and vascular
changes to the cord following traumatic and/or localized damage
(i.e. spinal cord injury, stroke, spinal tumors), an 8 mm diameter
window is sufficient. However, for the study of neurological
diseases, such as multiple sclerosis or amyotrophic lateral sclerosis,
which have widespread effects along the spinal cord, in vivo optical
imaging using our SCWC setup may not be appropriate to assess
the global deterioration of the whole cord [45,46]. Secondly, while
intravital confocal fluorescence microscopy (with exogenous blood
contrast agents) and svOCT (without contrast agents) provide
high-resolution imaging of the microvasculature which cannot be
achieved by other imaging techniques such as microCT or MRI,
these optical imaging methods cannot image through the full
thickness of the spinal cord. Therefore, only pial and white matter
vessels are accessible using fluorescence and svOCT, while the
majority of vascular structures in the grey matter remain
a challenge for optical imaging. One possible alternative is the
use of photoacoustic imaging which uses high-frequency ultra-
sound to image through the entire spinal cord following pulsed
laser excitation, including vessels of the grey matter. While yielding
useful structural information about tissue and vasculature, in-
travital multispectral photoacoustic imaging also provides impor-
tant functional information of spinal cord vascular oxygenation
status non-invasively over time.
Nevertheless, our research – in conjunction with previous
reports by Farrar et al. and Fenrich et al. – substantiate the need
and confirm the technical feasibility for such unique murine
window chamber models for in vivo longitudinal multimodal
imaging of the spinal cord. Future preclinical studies of the
healthy, diseased or injured spinal cord will benefit from the
availability of such robust experimental animal models and their
ability to exploit powerful multimodal and intravital imaging
techniques.
Supporting Information
Figure S1 Spinal cord window chamber designed for imaging of
the rat cord and vasculature. (A) The spinal cord window chamber
device was designed and printed in polycarbonate with a metal
ring to secure the 12-mm coverglass slip. (B) The SCWC device,
shown from a different angle, has lateral arms which retract the
dorsal muscles of the vertebrae and keep the spinal cord exposed
over days-to-weeks- for longitudinal optical imaging. (C) The
SCWC device is surgically implanted over the exposed spinal cord
providing a window for direct spinal cord imaging, following a two-
level laminectomy at T6–T7. (D) Images of the rat spinal cord
were taken 3 days after SCWC implantation. Intravital white light
at 2X magnification (left panel), and 6X magnification inset of
intravenous FITC-dextran (right panel) images are shown. Scale
bars = 1 cm. SCWC = spinal cord window chamber.
(TIF)
File S1
(DOCX)
Video S1 Behavioural and functional observation of mice 28 day
post-SCWC implantation. Athymic nude mice had spinal cord
window chambers implanted and were followed for 1 month to
examine their behaviour, motor function, grooming, and eating
habits, as well as to document any necrosis, inflammation or
infection surrounding the implantation site. No motor/beha-
vioural deficits were observed in the 28 day period. Similarly, no
observable inflammation, necrosis or infection resulted from spinal
cord window chamber (SCWC) implantation.
(MP4)
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 12 March 2013 | Volume 8 | Issue 3 | e58081
261
Video S2 Photoacoustic and Power Doppler imaging. Co-
registered power Doppler and oxygen saturation (sO2) measure-
ments of the spinal cord. Three-dimensional power Doppler image
of the spinal cord vasculature shown in orange demonstrates the
ability to image multiple vascular structures within the spinal cord.
Longitudinal section of the cord is illustrated by the structural
ultrasound image and overlaid photoacoustic image. Color bar
indicates the relative sO2 level of the vasculature. Imaging was
performed while the mouse was breathing 100% oxygen mixed
with 2% isoflurane.
(WMV)
Video S3 Spinal cord O2 saturation monitoring by photoacous-
tic imaging. Two-dimensional cross-section of the spinal cord
within the window chamber. Ultrasound structural image (left)
shows the outline of the window chamber as well as the artificial
dura that cover the spinal cord. The rectangle indicates the region
where photoacoustic image was acquired, and the circular region
of interest indicates the area that photoacoustic signal intensity was
measured. Photoacoustic image (right) displays the spinal cord
vasculature. Color bar indicates the relative oxygenation level of
the vasculature, and the scale bar illustrates the depth of imaging
from the transducer head. The animal’s anaesthetic mixture was
shifted from 100% to 7% oxygen for 1 minute, which corresponds
to the frame 58 to 103 (out of total 248 frames acquired) in this
video.
(AVI)
Video S4 3D OCT. Reconstructed three-dimensional structural
OCT image acquired over 2.5 mm63 mm regions of the cord
within the window chamber. Arterial spinal vein and the spinal
cord structure can be seen throughout the region of interest.
OCT = optical coherence tomography.
(MPG)
Video S5 3D OCT. The same reconstructed three-dimensional
structural OCT image as in Video S4 was made transparent for
better visualization to highlight the structure of the spinal cord.
OCT = optical coherence tomography.
(MPG)
Acknowledgments
The authors would like to thank Jiachuan Bu for his assistance with animal
care. We would also like to thank Dr. Annie Huang’s lab for providing the
WW426 cell line. The views expressed in this manuscript do not necessarily
reflect those of the Ontario Ministry of Health and Long Term Care
(OMHLTC). Dr. DaCosta holds a Cancer Care Ontario Research Chair
in Cancer Imaging.
Author Contributions
Designed the window chambers: JIS JDM. Conceived and designed the
experiments: RSD. Performed the experiments: SAF YC AM LC JDM JIS
SS PL KB GZ. Analyzed the data: SAF YC AM LC SS. Contributed
reagents/materials/analysis tools: AV GZ MGF RSD. Wrote the paper:
SAF YC AM LC RSD.
References
1. Stroman PW (2005) Magnetic Resonance Imaging of Neuronal Function in the
Spinal Cord: Spinal fMRI. Clinical Medicine & Research 3: 146–156.
2. Braun IF, Raghavendra BN, Kricheff II (1983) Spinal cord imaging using real-
time high-resolution ultrasound. Radiology 147: 459–465.
3. Moseley ME, Cohen Y, Kucharczyk J, Mintorovitch J, Asgari HS, et al. (1990)
Diffusion-weighted MR imaging of anisotropic water diffusion in cat central
nervous system. Radiology 176: 439–445.
4. McAfee PC, Bohlman HH, Han JS, Salvagno RT (1986) Comparison of
Nuclear Magnetic Resonance Imaging and Computed Tomography in the
Diagnosis of Upper Cervical Spinal Cord Compression. Spine 11: 295–304.
5. Tench CR, Morgan PS, Jaspan T, Auer DP, Constantinescu CS (2005) Spinal
Cord Imaging in Multiple Sclerosis. Journal of Neuroimaging 15: 94S–102S.
6. Madi S, Flanders AE, Vinitski S, Herbison GJ, Nissanov J (2001) Functional MR
Imaging of the Human Cervical Spinal Cord. American Journal of
Neuroradiology 22: 1768–1774.
7. Misgeld T, Kerschensteiner M (2006) In vivo imaging of the diseased nervous
system. Nat Rev Neurosci 7: 449–463.
8. Dommisse GF (1974) The Blood Supply of the Spinal Cord: A Critical Vascular
Zone in Spinal Surgery. J Bone Joint Surg Br 56-B: 225–235.
9. Marcus M, Heistad D, Ehrhardt J, Abboud F (1977) Regulation of total and
regional spinal cord blood flow. Circulation Research 41: 128–134.
10. Kerschensteiner M, Schwab ME, Lichtman JW, Misgeld T (2005) In vivo
imaging of axonal degeneration and regeneration in the injured spinal cord. Nat
Med 11: 572–577.
11. Davalos D, Lee JK, Smith WB, Brinkman B, Ellisman MH, et al. (2008) Stable
in vivo imaging of densely populated glia, axons and blood vessels in the mouse
spinal cord using two-photon microscopy. Journal of Neuroscience Methods
169: 1–7.
12. Johannssen HC, Helmchen F (2010) In vivo Ca2+ imaging of dorsal horn
neuronal populations in mouse spinal cord. The Journal of Physiology 588:
3397–3402.
13. Kim JV, Jiang N, Tadokoro CE, Liu L, Ransohoff RM, et al. (2010) Two-
photon laser scanning microscopy imaging of intact spinal cord and cerebral
cortex reveals requirement for CXCR6 and neuroinflammation in immune cell
infiltration of cortical injury sites. Journal of Immunological Methods 352: 89–
100.
14. Dray C, Rougon Gv, Debarbieux F (2009) Quantitative analysis by in vivo
imaging of the dynamics of vascular and axonal networks in injured mouse
spinal cord. Proceedings of the National Academy of Sciences 106: 9459–9464.
15. Cadotte DW, Mariampillai A, Cadotte A, Lee KKC, Kiehl T-R, et al. (2012)
Speckle variance optical coherence tomography of the rodent spinal cord:
in vivo feasibility. Biomed Opt Express 3: 911–919.
16. Farrar MJ, Bernstein IM, Schlafer DH, Cleland TA, Fetcho JR, et al. (2012)
Chronic in vivo imaging in the mouse spinal cord using an implanted chamber.
Nature Methods advance online publication.
17. Fenrich KK, Weber P, Hocine M, Zalc M, Rougon G, et al. (2012) Long-term
in vivo imaging of normal and pathological mouse spinal cord with sub-cellular
resolution using implanted glass windows. The Journal of Physiology.
18. Xu M, Wang LV (2006) Photoacoustic imaging in biomedicine. Review of
Scientific Instruments 77: 041101–041122.
19. Wang X, Xie X, Ku G, Wang LV, Stoica G (2006) Noninvasive imaging of
hemoglobin concentration and oxygenation in the rat brain using high-
resolution photoacoustic tomography. Journal of Biomedical Optics 11:
024015–024019.
20. Ntziachristos V (2010) Going deeper than microscopy: the optical imaging
frontier in biology. Nat Meth 7: 603–614.
21. Shtoyerman E, Arieli A, Slovin H, Vanzetta I, Grinvald A (2000) Long-Term
Optical Imaging and Spectroscopy Reveal Mechanisms Underlying the Intrinsic
Signal and Stability of Cortical Maps in V1 of Behaving Monkeys. The Journal
of Neuroscience 20: 8111–8121.
22. Clarkson R, Lindsay PE, Ansell S, Wilson G, Jelveh S, et al. (2011)
Characterization of image quality and image-guidance performance of a pre-
clinical microirradiator. Medical Physics 38: 845–856.
23. Imai Y, Ibata I, Ito D, Ohsawa K, Kohsaka S (1996) A Novel Geneiba1in the
Major Histocompatibility Complex Class III Region Encoding an EF Hand
Protein Expressed in a Monocytic Lineage. Biochemical and Biophysical
Research Communications 224: 855–862.
24. Sasaki Y, Ohsawa K, Kanazawa H, Kohsaka S, Imai Y (2001) Iba1 Is an Actin-
Cross-Linking Protein in Macrophages/Microglia. Biochemical and Biophysical
Research Communications 286: 292–297.
25. Yu W, Fehlings M (2011) Fas/FasL-mediated apoptosis and inflammation are
key features of acute human spinal cord injury: implications for translational,
clinical application. Acta Neuropathologica 122: 747–761.
26. Popovich PG, Wei P, Stokes BT (1997) Cellular inflammatory response after
spinal cord injury in sprague-dawley and lewis rats. The Journal of Comparative
Neurology 377: 443–464.
27. Donnelly DJ, Popovich PG (2008) Inflammation and its role in neuroprotection,
axonal regeneration and functional recovery after spinal cord injury.
Experimental Neurology 209: 378–388.
28. Powers BE, Beck ER, Gillette EL, Gould DH, LeCouter RA (1992) Pathology of
radiation injury to the canine spinal cord. International Journal of Radiation
Oncology*Biology*Physics 23: 539–549.
29. Hornsey S, Myers R, Jenkinson T (1990) The reduction of radiation damage to
the spinal cord by post-irradiation administration of vasoactive drugs. In-
ternational Journal of Radiation Oncology*Biology*Physics 18: 1437–1442.
30. Siegal T, Pfeffer MR (1995) Radiation-induced changes in the profile of spinal
cord serotonin, prostaglandin synthesis, and vascular permeability. International
Journal of Radiation Oncology*Biology*Physics 31: 57–64.
31. Bilgen M, Al-Hafez B (2006) Comparison of spinal vasculature in mouse and rat:
investigations using MR angiography. Neuroanatomy 5: 12–16.
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 13 March 2013 | Volume 8 | Issue 3 | e58081
262
32. Nix W, Capra N, Erdmann W, Halsey J (1976) Comparison of vascular
reactivity in spinal cord and brain. Stroke 7: 560–563.
33. Anderson CR, Ashwell KWS, Collewijn H, Conta A, Harvey A, et al. (2009)
The Spinal Cord: A Christopher and Dana Reeve Foundation Text and Atlas;
Charles W, George P, Gulgun KayaliogluA2 - Charles Watson GP, Gulgun K,
editors. San Diego: Academic Press. v p.
34. Sinescu C, Popa F, Grigorean V, Onose G, Sandu A, et al. (2010 ) Molecular
basis of vascular events following spinal cord injury. Journal of Medicine and
Life 3: 254–261.
35. Sahgal A, Bilsky M, Chang EL, Ma L, Yamada Y, et al. (2011) Stereotactic body
radiotherapy for spinal metastases: current status, with a focus on its application
in the postoperative patient. Journal of Neurosurgery: Spine 14: 151–166.
36. Kirkpatrick JP, van der Kogel AJ, Schultheiss TE (2010) Radiation Dose-
Volume Effects in the Spinal Cord. International Journal of Radiation
Oncology*Biology*Physics 76: S42–S49.
37. van der Kogel AJ (1993) Dose-volume effects in the spinal cord. Radiotherapy
and Oncology 29: 105–109.
38. Liu TW, Akens MK, Chen J, Wise-Milestone L, Wilson BC, et al. (2011)
Imaging of Specific Activation of Photodynamic Molecular Beacons in Breast
Cancer Vertebral Metastases. Bioconjugate Chemistry 22: 1021–1030.
39. Hsu W, Mohyeldin A, Shah SR, Gokaslan ZL, Quinones-Hinojosa A (2012)
Role of Cancer Stem Cells in Spine Tumors: Review of Current Literature.Neurosurgery. E-pub ahead of pr int . doi :10.1227/NEU.1220-
b1013e3182532e3182571.
40. Bhavna Y, Erturk A, Hellal F, Nadrigny F, Hurtado A, et al. (2009) ChronicallyCNS-Injured Adult Sensory Neurons Gain Regenerative Competence upon
a Lesion of Their Peripheral Axon. Current Biology 19: 930–936.41. Dibaj P, Nadrigny F, Steffens H, Scheller A, Hirrlinger J, et al. (2010) NO
mediates microglial response to acute spinal cord injury under ATP control
in vivo. Glia 58: 1133–1144.42. Fehlings M, Vawda R (2011) Cellular Treatments for Spinal Cord Injury: The
Time is Right for Clinical Trials. Neurotherapeutics 8: 704–720.43. Thuret S, Moon LDF, Gage FH (2006) Therapeutic interventions after spinal
cord injury. Nat Rev Neurosci 7: 628–643.44. Byrnes KR, Fricke ST, Faden AI (2010) Neuropathological differences between
rats and mice after spinal cord injury. Journal of Magnetic Resonance Imaging
32: 836–846.45. Lassmann H (2005) Multiple Sclerosis Pathology: Evolution of Pathogenetic
Concepts. Brain Pathology 15: 217–222.46. Rowland LP, Shneider NA (2001) Amyotrophic Lateral Sclerosis. New England
Journal of Medicine 344: 1688–1700.
Spinal Cord Window Chamber for Multimodal Imaging
PLOS ONE | www.plosone.org 14 March 2013 | Volume 8 | Issue 3 | e58081
263