ian persaud conte symposium 2016

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Ian Persaud Mentor: Dr. Joshua Chiappelli MPRC Conte Research Symposium August 5, 2016 Relationship of Cortisol to Brain Morphological Abnormalities in Schizophrenia

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Page 1: Ian Persaud Conte Symposium 2016

Ian PersaudMentor: Dr. Joshua ChiappelliMPRC Conte Research SymposiumAugust 5, 2016

Relationship of Cortisol to Brain

Morphological Abnormalities in

Schizophrenia

Page 2: Ian Persaud Conte Symposium 2016

SZ and Brain Morphology In a study of 2028 patients and 2540 controls

volume decreases reported in: Hippocampus Amygdala Thalamus Accumbens Intracranial Volumes

Volume increases reported in Pallidum Lateral ventricles

(Van Erp, 2016)

Page 3: Ian Persaud Conte Symposium 2016

Potential Biomarker?

IN a study of 596 individuals that compared SZ, SAD, BDP, 1° relatives and healthy controls Hippocampal volume supported as putative

biomarker for SZ (P = .007 - .02) and SAD (P = .003 - .14)

(Arnold S 2015)

Page 4: Ian Persaud Conte Symposium 2016

Diathesis-Stress Model

Stess -events or experiences that jeopardize homeostasis (Chrousos & Gold 1992; Sapolsky, 1992)

Onset, exacerbation, and relapse ALL linked to multiple somatic/environmental stressors

Page 5: Ian Persaud Conte Symposium 2016

Biological Mechanisms

KYN/A

Page 6: Ian Persaud Conte Symposium 2016

Methods 91 Hi-res 3T structural MRI scans

48 healthy control, 43 SZ patients Controlled for age and sex

Whole blood samples collected Assays for cytokines, KYNA, and Cortisol

So far, only Cortisol is complete

Manual Hippocampal Volume measurements using Mango 4.0 software

Page 7: Ian Persaud Conte Symposium 2016
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Results No between group hippocampal volume differences

No correlation with cortisol

Significant decrease trend of vol. with age Trend more prominent in patient group

Page 9: Ian Persaud Conte Symposium 2016

Hippocampal Volume and Age

Overall: (r=-.219, p=.037)Patients: (r=-.397, p=.008, n=43)Controls: (r=-.062, p=.67, n=48)

Page 10: Ian Persaud Conte Symposium 2016

Accelerated Aging theory Patients with SZ have a faster rate of neural aging,

related to decay. Increased oxidative stress & inflammation

positive feedback mechanisms

Evidence supports Increased oxidative stress biomarkers (Okusaga O. O.

2014) Increased inflammatory biomarkers (Kirpatrick B. & Miller

B.J. 2013)

Page 11: Ian Persaud Conte Symposium 2016

Allostatic Load Study “The term ‘allostasis’ refers to how an

organism accommodates to a stressor by adjusting homeostatic set points to maintain internal stability” (Nugent et al 2015)

Allostatic Load - 13 biomarkers vs. Cortical thickness

44 Schizophrenia Spectrum Disorder patients, 33 normal controls

Found patients had higher allostatic load, and lower cortical thickness (p=.008)

Page 12: Ian Persaud Conte Symposium 2016

Hippocampal Volume and Urinary Cortisol

Spearman's rho=-.291, p=.033

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Average Cortical Thickness and Plasma Cortisol

Overall: (r=-.198, p=.037)Patients: (r=-.276, p=.043)Controls: (r=-.152, p=.26)

Page 15: Ian Persaud Conte Symposium 2016

Average Cortical Thickness and C-Reactive Protein

(rho=-.361, p=.005)

Page 16: Ian Persaud Conte Symposium 2016

Plasma Cortisol and CRP Significant correlation in patients (rho=.429,

p=.013, n=33) but not in controls (rho=-.055,p=.81, n=21)

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Page 17: Ian Persaud Conte Symposium 2016

Moving Forward Move Forward with KYNA and Cytokine assays to

better explore relationships between these two circuits and neurodegeneration

Understanding the relationship these neurochemicals have with Hippocampal volume, and with patient vs control groups could offer insight to the interaction in the Diathesis-Stress model

Page 18: Ian Persaud Conte Symposium 2016

Works CitedArnold, S. J. M., Ivleva, E. I., Gopal, T. A., Reddy, A. P., Jeon-Slaughter, H., Sacco, C. B., … Tamminga, C. A. (2015). Hippocampal volume is reduced in schizophrenia and schizoaffective disorder but not in psychotic bipolar i disorder demonstrated by both manual tracing and automated parcellation (FreeSurfer). Schizophrenia Bulletin, 41(1), 233–249. http://doi.org/10.1093/schbul/sbu009

Kirkpatrick, B., & Miller, B. J. (2013). Inflammation and schizophrenia. Schizophrenia Bulletin, 39(6), 1174–1179. http://doi.org/10.1093/schbul/sbt141

Nugent, K. L., Chiappelli, J., Rowland, L. M., & Hong, L. E. (2015). Cumulative stress pathophysiology in schizophrenia as indexed by allostatic load. Psychoneuroendocrinology, 60, 120–129. http://doi.org/10.1016/j.psyneuen.2015.06.009

Okusaga, O. O. (2014). Accelerated aging in schizophrenia patients: the potential role of oxidative stress. Aging and Disease, 5(4), 256–62. http://doi.org/10.14336/AD.2014.0500256

van Erp, T. G. M., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. a, … Turner, J. a. (2016). Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Molecular Psychiatry, (October 2014), 1–7. http://doi.org/10.1038/mp.2015.63

Walker, E. F., & Diforio, D. (1997). Schizophrenia: A Neural Diathesis-Stress Model. Psychological Review, 104(4), 667–685. http://doi.org/10.1037/0033-295X.104.4.667

Page 19: Ian Persaud Conte Symposium 2016

Acknowledgements

Dr. Ana Pocivavsek My mentor, Dr. Chiappelli Dr. Elliot Hong Neuroimaging staff, all of the Conte Staff

THANK YOU ALL!