? OVERALL A 27% increase in US suicides in the past 15 years demands a paradigm shift in prevention driven by research into causes of suicidal behavior. The Conte Center?s first 4 years of funding identified related brain changes in suicide and nonfatal suicidal behavior, indicating common causal factors and potential prevention by detecting future suicide decedents. Key findings include thinner prefrontal cortex and smaller dentate gyrus, partly due to neuronal loss. We found potential causal abnormalities in HPA axis and inflammasome indices and deficiencies in trophic systems including the serotonin system (more 5-HT1A autoreceptors) and low BDNF. These findings link genetics, childhood adversity, epigenetics, mood regulation and cognition to PET and fMRI abnormalities, stress responses and suicidal behavior. The current proposal seeks to study the neural circuitry and molecular detail of abnormal stress responses in suicide and nonfatal suicidal behavior, emphasizing potential etiological and pathogenic roles of the inflammasome, HPA axis and BDNF. Project 1 (Underwood /Boldrini) uses postmortem brain tissue from suicides with major depressive disorder (MDD) to examine childhood adversity (psychological autopsy), neuroinflammation and process/synaptic mass in prefrontal cortex, anterior cingulate cortex and hippocampus, and existing data on genomics (HPA, trophic/apoptotoic, GABA, Glu, 5-HT, BDNF), neuron and glial number, growth and apoptotic factors, HPA axis and the serotonin system. Project 2 (Champagne/Hen) applies a maternal separation mouse model to examine effects on homologous genomics, brain biology and depression, anxiety and aggressive behaviors in a mouse model of over-expressing 5-HT1A autoreceptors (geneXenviron). Project 3 (Mann) uses PET to quantify a depression/suicide/aggression/oxidative load-related neurotransmitter index (MAOA), a neuroinflammation marker (PBR28), & a synaptic marker (UCB-J) and Project 4 (Ochsner) uses fMRI to study mood regulation and memory in MDD suicide attempters, MDD nonattempters and healthy volunteers. Project 5 (Stanley) will use ecological momentary assessment and TSST biological stress responses (HPA, adrenergic and inflammatory) to study emotional and biological stress responses with respect to impulsive or planned suicidal behavior and reported childhood adversity. Project 6 (Ogden) will use high dimensional brain imaging, genomic and inflammasome data to develop statistical methods to measure suicidal risk. Findings are compared across projects in exploratory aims to test a model where childhood adversity leads to greater inflammation, impaired serotonin and BDNF trophic effects and long-lasting impaired stress responses related to altered brain morphology and function underlying risk of suicide.!

Public Health Relevance

The suicide rate in the US has risen 27% in 15 years. To reverse this alarming trend requires better understanding of the causes of suicide and better ways of identifying people at high risk for suicide. This Conte Center will study the many types of causes of suicide using multiple complementary approaches and a team of psychiatrists, psychologists, statisticians and experts in genetics and brain imaging. Finally, the team will create new tools from the research findings to help clinicians identify who is at high risk and new candidate methods for prevention.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH090964-08
Application #
9959463
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Zalcman, Steven J
Project Start
2013-07-19
Project End
2023-06-30
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
8
Fiscal Year
2020
Total Cost
Indirect Cost
Name
New York State Psychiatric Institute
Department
Type
DUNS #
167204994
City
New York
State
NY
Country
United States
Zip Code
10032
Rizk, Mina M; Galfalvy, Hanga; Singh, Tanya et al. (2018) Toward subtyping of suicidality: Brief suicidal ideation is associated with greater stress response. J Affect Disord 230:87-92
Rubin-Falcone, Harry; Zanderigo, Francesca; Thapa-Chhetry, Binod et al. (2018) Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder. J Affect Disord 227:498-505
Boldrini, Maura; Fulmore, Camille A; Tartt, Alexandria N et al. (2018) Human Hippocampal Neurogenesis Persists throughout Aging. Cell Stem Cell 22:589-599.e5
Youssef, Mariam M; Underwood, Mark D; Huang, Yung-Yu et al. (2018) Association of BDNF Val66Met Polymorphism and Brain BDNF Levels with Major Depression and Suicide. Int J Neuropsychopharmacol 21:528-538
Abreu, L N; Oquendo, M A; Galfavy, H et al. (2018) Are comorbid anxiety disorders a risk factor for suicide attempts in patients with mood disorders? A two-year prospective study. Eur Psychiatry 47:19-24
Rizk, Mina M; Rubin-Falcone, Harry; Lin, Xuejing et al. (2018) Gray matter volumetric study of major depression and suicidal behavior. Psychiatry Res Neuroimaging 283:16-23
Daray, Federico M; Mann, J John; Sublette, M Elizabeth (2018) How lipids may affect risk for suicidal behavior. J Psychiatr Res 104:16-23
Chaudhury, Sadia R; Galfalvy, Hanga; Biggs, Emily et al. (2017) Affect in response to stressors and coping strategies: an ecological momentary assessment study of borderline personality disorder. Borderline Personal Disord Emot Dysregul 4:8
Fitzgerald, Megan L; Kassir, Suham A; Underwood, Mark D et al. (2017) Dysregulation of Striatal Dopamine Receptor Binding in Suicide. Neuropsychopharmacology 42:974-982
Ganança, Licinia; Galfalvy, Hanga C; Oquendo, Maria A et al. (2017) Lipid correlates of antidepressant response to omega-3 polyunsaturated fatty acid supplementation: A pilot study. Prostaglandins Leukot Essent Fatty Acids 119:38-44

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