designing and constructing a set of fundamental cell models: application to cardiac disease
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Designing and Constructing a Set of Fundamental Cell Models: Application to Cardiac Disease. James B.Bassingthwaighte University of Washington Seattle. Engineering and reverse engineering the route from Genome to Function: (Integrating Biological Systems Knowledge). Health. Organism. - PowerPoint PPT PresentationTRANSCRIPT
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Designing and Constructing a Set of Fundamental Cell Models:
Application to Cardiac Disease
James B.Bassingthwaighte
University of Washington
Seattle
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Engineering and reverse engineering the route from Genome to Function:
(Integrating Biological Systems Knowledge)
Genes
HealthOrganism
Organ
Tissue
Cell
Molecule
The Physiome Projecthttp://www.physiome.org
Structure and Function:• Biomedical Problem Formulation• Quantitative Approaches• Engineering Methods• Mechanistic System Modeling• Databasing & Dissemination
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
The Physiome and the Physiome Project
• The “Physiome”, like the Genome, is a quantitative description of the functional behavior of the physiological state of an individual of a species. In its fullest form it should define relationships from organism to genome and vice versa.
• The “Physiome Project” is a concerted effort to define the Physiome through databasing and through the development of a sequence of model types: schema of interactions, descriptions of structure and function, logical prediction, and integrative quantitative modeling for critical projections.
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Physiome and Physiome Project
• The models of genomic, metabolic, or integrative systems should, via iteration with carefully designed experiments, resolve contradictions amongst prior observations and interpretations.
• Reasonably comprehensive and accurate models will demonstrate emergent properties. This is the “reverse engineering” of biology. Some of these will be applied to clinical diagnosis and the evaluation of care.
• Databases, concepts, descriptions, and models are to be put in the public domain, an open system.
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Structure with FunctionStructure with Function• The Genome, and the Transcriptome. THE PHYSIOME:• The physico-chemical status.• Descriptions of the Proteome, of solutes, bilayers,
organelles, organs, organisms. • Quantitative measures of structural components,
e.g. protein and solute levels in cells and organelles, volumes, surface areas, material properties, etc. (The Morphome)
• Schema of interactions between the components. Regulatory apparatus for gene expression and metabolism. (The Metabolome)
• Computational models (genes +milieu organism).
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Three Incentives for Developing the Physiome
• To develop understanding of a mechanism or a phenomenom: basic science.
• To determine the most effective targets for therapy, either pharmaceutic or genomic.
• To design artificial or tissue-engineered, biocompatible implants.
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
An example: LBBBLeft Bundle Branch Block of the Cardiac
Conduction System
Auscultation: Reverse splitting of the second heart sound
ECG: Wide QRS complex and often late T wave X-ray: Moderate cardiac enlargementThallium scan: Low flow in the septumPET scan: Decreased septal glucose uptake,
but normal septal fatty acid uptake.
The imaging gave three clues to the physiology.
How can the observations be explained?
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Electrical activation of the normal heart
bundle branches
His bundle
AV node
sinus node
Purkinje fibers
right ventricle
left atrium
Prinzen et al., 2000
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RV apex pacing left bundle branch block
Schematics of electrical activation
X
Prinzen et al., 2000
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Explaining what is observed in Left Bundle Branch Block
ECG: Wide QRS complex and often late T wave
The RBB is activated normally, and excitation proceeds
normally over the RV, but since the left branch of the bundle of
His is blocked the spread of
activation into the left ventricular
muscle is delayed 50 to 100 ms,
broadening the QRS complex,
and delaying the repolarization
phase (late T wave)
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
ECG
Tagging pulse Delay = 50 ms Delay = 90 ms Delay = 130 ms
50ms 90ms 130ms
...
...
Pacingspike
Gx
RF
Presat.pulse
MRI tagging of Cardiac Contraction
(Prinzen, Hunter, Zerhouni,1999)
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Explaining what is observed in Left Bundle Branch Block
Auscultation: Reversed splitting of S2 (second heart sound)
The RBB is activated normally, but activation of the left ventricle is delayed 50 to 100 ms, so that aortic valve closing is delayed and is later than pulmonic closing, rather than earlier. During inspiration increased RV filling, delaying pulmonic valve closure, shortens (rather than lengthening) the interval between pulmonic and aortic valve closure: reversed respiratory influence on second sound splitting interval.
Normally, Insp longer A2–P2 , but here Insp shorter P2–A2
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Effect of RV apex pacing on regional LV epicardial fiber strain
atrialpacing
ventricularpacing
site A site B
ejection phase
early-activated late-activated
Prinzen et al, Am. J. Physiol, 1990
S
egm
ent l
engt
h
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Atrial pacing RV apex pacing LV free wall pacing
.
Fiber length
.
Fiber length
.
Fiber length
apex
base anterior
posterior
sep
tum
Prinzen et al, J Am Coll Cardiol, 1999
**
0
(mJ/g) 8
Distribution of external work in the LV wall
0
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
To explain what is seen in LBBB:Thallium scans: Decreased septal blood flow relative to rest of LV because local demand is reduced. Decreased septal mass due to local atrophy.
PET Glucose Uptake: Decreased septal uptake due to shift away from glucose with diminished demand relative to supply. PET data show normal FA uptake. Regional FA uptake is matched to local flow.
X-ray: LV hypertrophy: Hypertrophic free wall due to increased workload and low contractile efficiency. This is partially attributable to increased wall tension with LV cavity volume increase: T=PxR.
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Cardiac fiber structuring:
LV base
LV near the apex
From Torrent-Guasp, 1998
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Rabbit Heart: Epicardial fibers – blue Subendocardial fibers - yellow
From Vetter and McCulloch, UCSD
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Integration by Computation: The Cardiome
• Transport:• UW: Flows, uptake (O2, fats)
• Cardiac Mechanics:• Auckland Univ: P.Hunter• UCSD: McCulloch • Maastricht: Arts, Prinzen, Reneman• JHU: W.Hunter
• Action Potentials:• Oxford U: D. Noble• Johns Hopkins: Winslow• Case-Western: Rudy
• Cardiac excitatory spread:• CWRU: Rudy et al.• Johns Hopkins: Winslow• Syracuse: Jalife• UCSD: McCulloch
N.Smith, P. Hunter,et al. 1998
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
What are the mechanisms for the responses in
Left Bundle Branch Block?
Thallium scans: How is local flow regulated?
PET Glucose Uptake: How is glycolysis regulated?
MR Strain Patterns: How do structure, excitation, and contraction combine to produce these?
X-ray LV hypertrophy: What regulates actin and myosin expression?
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Excitation-Contraction Coupling
• Cooperativity • Mechanical Feedback
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The Motor Units
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ffSTRONGSTRONG
g +g Vg +g V
Energy Use depends on shortening velocity:
WEAK
ADPADPATPATP00 11
ADPADP
Weak-Strong vs. Attached-DetachedWeak-Strong vs. Attached-Detached
ATPATP
Mechanical FeedbackMechanical Feedback Landesberg/Sideman, 1998
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
The Conservative Phys-chem cell(no protein synthesis or proteolyis)
• Balances mass, charge, volume, energy, reducing equivalents, concentrations
• Serves as a primitive for expanded models• RBC, prokaryote, eukaryote, myocyte, B-cell• Serve as entry to databases• Component of healthy and diseased tissues• Basis for multicellular integrated systems models• Understanding via metabolic control analysis of networks
• Test bed for mechanistic pharmacodynamic models and selection for drug design and for genomic intervention
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The glycolytic conservative cell (with eternal proteins)
Na+
Ca2
Ca
Ca2+
3Na+
ATP
3Na+
ATP
Na+
Substrates
Glycolysis
pH balance~P balancePurine balanceOsmotic balanceWater balance
Charge neutrality
Redox state Free Energy
RBC
e.g. arep.med.harvard.edu,Edwards, Palsson,Church et al.
Metabolites
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The conservative cell with eternal proteins
Na+ Na+
INaK
Ca2+
Ip(Ca)
Ca2+
INaCa
Na+
Endoplasmic reticulum
ATP
ATP
ATP
Na+
Substrates
Glycolysis,fatty acid
pH~P balancePurine balanceOsmotic balanceWater balance
Charge neutrality
Redox state Free Energy
TCAOxPhosph
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
The sustainable metabolic muscle cell
Na+ Na+ Na+
K+
K+
K+
K+
Ca2+
Ip(Ca)ICa,K
K+Ca2+
ICa,b
Ca2+ TRPN
T-tubuleCa2+
Na+
Sarcoplasmic reticulum
ICa
Ca2+
Ca2+
subspace
calseq
calmodulincalmodulin
RyR
Ca2+
Ca2+
ATP
ATP
ATP
K+
K+
H+
Na+
TCA
OxPhosphSubstrates
ATP regulation
pH, P &Charge neutrality
Leak
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
The cardiac muscle cell
Na+ Na+ Na+
K+
K+
K+
K+
Kp
NaK Na INa,b
Ca2+
Ip(Ca)ICa,K
K+Ca2+
ICa,b
T-tubuleCa2+
aCa
Na+
Sarcoplasmic reticulum
ICa
Ca2+
Ca2+
subspace
calseq
calmodulin
RyR
Ca2+
Ca2+
ATP
ATP
ATP
K+Ks
K+to1
H+
Na+
Substrates
Leak
(building from Luo-Rudy 1994-2001and Winslow et al. 1999)
OxPhosph
TCA
Glycolysis
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
Conclusions:
• Conservative cell models provide a basis for a host of specific applications.
• Their behavior is innately complex and highly dependent on the conditions.
• Computability is a major issue if models are to be used are practical aids to thinking.
• Even now they provide short-term prediction of the consequences of intervention.
20jun01: http://nsr.bioeng.washington.edu Silico.6.01
END
www.physiome.org