For the previous 15 years of support on this program project grant, we have sought to identify psychosocial factors that increase cardiovascular disease risk and to understand the biobehavioral mechanisms whereby increased risk is mediated. During the current 5-year period of support, we have met our broad objectives to: 1) document the clustering of psychosocial and biobehavioral risk factors for CVD in persons of low socioeconomic status; 2) document the important influence of early environments on this clustering; and 3) document the role of brain serotonergic function as an important contributor to this clustering. We have also initiated a major new research initiative - identification of polymorphisms of serotonin-related genes as a new means of documenting the importance of serotonergic mechanisms in clustering of psychosocial and biobehavioral factors that increase CVD risk. Based on findings of extensive associations between polymorphisms of the serotonin transporter and monoamine oxidase A genes and phenotypes in every system we have studied during the current PPG, we propose now to undertake a large scale and ambitious study, involving up to 500 hostile probands and over 500 of their siblings, to identify genetic variants - using family-based association studies of candidate genes and loci - that influence the expression of hostility and the other psychosocial and biobehavioral enophenotypes that cluster with hostility in the same individuals and low SES groups. Project 1 will search for genetic variants that influence hostility, personality, and cardiovascular, neuroendocrine, and platelet functions, as well as circulating inflammatory markers at rest and in response to stress. Project 2 will search for genes that influence glucose metabolism and the metabolic syndrome. Project 3 will search for genes that influence ambulatory markers of stress in the real world. Five Cores will support the Projects. Representing a new collaboration between investigators in the Duke Behavioral Medicine Research Center and the Center for Human Genetics, the proposed research could identify genetic variants that interact with stressful environments to increase CVD risk via effects on healthdamaging psychosocial and biobehavioral endophenotypes - thereby increasing understanding of pathogenic mechanisms and raising the possibility of being able to identify highly susceptible persons who may be candidates for both secondary and primary prevention trials.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL036587-17
Application #
7005440
Study Section
Special Emphasis Panel (ZHL1-PPG-C (O3))
Program Officer
Czajkowski, Susan
Project Start
1993-08-01
Project End
2008-12-31
Budget Start
2006-01-01
Budget End
2006-12-31
Support Year
17
Fiscal Year
2006
Total Cost
$2,248,988
Indirect Cost
Name
Duke University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Singh, Abanish; Babyak, Michael A; Brummett, Beverly H et al. (2018) Developing a synthetic psychosocial stress measure and harmonizing CVD-risk data: a way forward to GxE meta- and mega-analyses. BMC Res Notes 11:504
Ward-Caviness, Cavin K; Kraus, William E; Blach, Colette et al. (2018) Associations Between Residential Proximity to Traffic and Vascular Disease in a Cardiac Catheterization Cohort. Arterioscler Thromb Vasc Biol 38:275-282
Mirowsky, Jaime E; Devlin, Robert B; Diaz-Sanchez, David et al. (2017) A novel approach for measuring residential socioeconomic factors associated with cardiovascular and metabolic health. J Expo Sci Environ Epidemiol 27:281-289
Williams, Redford B; Bishop, George D; Haberstick, Brett C et al. (2017) Population differences in associations of serotonin transporter promoter polymorphism (5HTTLPR) di- and triallelic genotypes with blood pressure and hypertension prevalence. Am Heart J 185:110-122
Jiang, Rong; Babyak, Michael A; Brummett, Beverly H et al. (2017) Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism interacts with gender to influence cortisol responses to mental stress. Psychoneuroendocrinology 79:13-19
Jiang, Rong; Babyak, Michael A; Brummett, Beverly H et al. (2017) Brain-derived neurotrophic factor rs6265 (Val66Met) polymorphism is associated with disease severity and incidence of cardiovascular events in a patient cohort. Am Heart J 190:40-45
Haberstick, Brett C; Boardman, Jason D; Wagner, Brandon et al. (2016) Depression, Stressful Life Events, and the Impact of Variation in the Serotonin Transporter: Findings from the National Longitudinal Study of Adolescent to Adult Health (Add Health). PLoS One 11:e0148373
Ward-Caviness, Cavin K; Neas, Lucas M; Blach, Colette et al. (2016) Genetic Variants in the Bone Morphogenic Protein Gene Family Modify the Association between Residential Exposure to Traffic and Peripheral Arterial Disease. PLoS One 11:e0152670
McGarrah, Robert W; Craig, Damian M; Haynes, Carol et al. (2016) High-density lipoprotein subclass measurements improve mortality risk prediction, discrimination and reclassification in a cardiac catheterization cohort. Atherosclerosis 246:229-35
Ogle, Christin M; Rubin, David C; Siegler, Ilene C (2016) Accounting for Posttraumatic Stress Disorder Symptom Severity With Pre- and Posttrauma Measures: A Longitudinal Study of Older Adults. Clin Psychol Sci 4:272-286

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