Annually, the US has 30,000+ suicides and ten times as many suicide attempts. Unfortunately, mortality and morbidity have remained steady over the last two decades, suggesting that a paradigm shift in prevention is required. Such a shift hinges on improving our knowledge regarding the causes of suicidal behavior. The Conte Center will employ a multidisciplinary approach to study how reported childhood adversity can mold the diathesis for suicidal behavior. Project 1 (Arango) will use postmortem brain tissue from suicides with major depressive disorder (MDD) to examine the relationship of childhood adversity (psychological autopsy) to candidate gene expression in neurons from prefrontal cortex, anterior cingulate cortex and hippocampus, as well as growth and apoptotic factors, HPA axis indices and targets in terms of neuron and glial number and the serotonin system. Correlations with suicide and aggressive traits will be determined. Project 2 (Champagne) will use a maternal deprivation mouse model to examine effects on DNA methylation and expression of the same genes, and effects on the same brain biology and depression, anxiety and aggressive behaviors. Project 3 (Mann) and Project 4 (Ochsner) will study the same set of MDD suicide attempters, MDD nonattempters and healthy volunteers and quantify brain neurotransmitter indices and fMR responses to evaluate cognitive control of emotion, each relevant to major depression and suicidal behavior. They will evaluate the relationship of identified circuitry changes to reported childhood adversity. Project 5 (Stanley) will clinically characterize all the subjects in P3 and P4 and then determine the relationship of reported childhood adversity to aggressive traits (reactive and proactive aggression) and then relate aggression type to stress responsiveness and type of suicidal behavior. Aggression and stress responses will be measured by lab tests and by ecological momentary assessment in the real world. Findings in P5 and P3 are compared in exploratory aims (impaired serotonin function and greater aggression) and P4 (reactive individuals and weaker cognitive control over mood). Project 6 (Ogden) will use high dimensional brain imaging data to develop a novel method to measure risk for suicidal behavior. This method can then be applied to genetic and other high dimensional data sets. These projects will help elucidate how early adverse experiences affect gene expression and brain biology to increase risk of suicidal behavior later in life.

Public Health Relevance

Lowering persistently high suicide rates in the USA requires a better understanding of the causes of suicidal behavior and specifically more about the role of genes and childhood adversity effects DNA methylation, brain development and its relationship to emotion, cognition and adult psychopathology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
4P50MH090964-04
Application #
9099962
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Zalcman, Steven J
Project Start
2013-07-19
Project End
2018-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
4
Fiscal Year
2016
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
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
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
CeƱido, Joshua F; Itin, Boris; Stark, Ruth E et al. (2017) Characterization of lipid rafts in human platelets using nuclear magnetic resonance: A pilot study. Biochem Biophys Rep 10:132-136
Chesin, Megan S; Galfavy, Hanga; Sonmez, Cemile Ceren et al. (2017) Nonsuicidal Self-Injury Is Predictive of Suicide Attempts Among Individuals with Mood Disorders. Suicide Life Threat Behav 47:567-579
Coleman, Daniel; Lawrence, Ryan; Parekh, Amrita et al. (2017) Narcissistic Personality Disorder and suicidal behavior in mood disorders. J Psychiatr Res 85:24-28

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