Although psychosocial stress has been hypothesized to play a role in the etiology of cardiovascular disease, empirical verifications of the effects of stress and the biological mechanisms through which stress operates remain rare. A major limitation has been the absence of population studies with direct biologic measures of stress (such as measures of levels of stress hormones), so that their link to social antecedents and to biological precursors of cardiovascular disease can be studied. It has also become increasingly apparent that social conditions and stressors must interact with genetic makeup, and that some of these exposures may modify gene expression through changes in DNA methylation but few population studies have comprehensively investigated the gene-environment interactions and epigenetic changes related to psychosocial factors. A major goal of this project is to better understand the ways in which socially patterned stress interacts with genetics and biology to influence cardiovascular-related outcomes. Using data from the Multiethnic Study of Atherosclerosis, a large, multiethnic population sample, we propose to investigate long-term associations of the stress response (as characterized by multiple measures of stress hormones) with social/psychosocial antecedents and cardiovascular-related outcomes, as well as modifications of the stress response by variations in selected candidate genes, and links between psychosocial factors and epigenetic changes.
The Specific Aims of the project are: (1) To examine associations of repeat measures of stress hormones with social and psychosocial factors and with biological precursors of cardiovascular disease including inflammation/hemostasis and measures of insulin resistance and adiposity;(2) To examine interactions between cortisol levels and polymorphisms of the glucocorticoid receptor gene with respect to cardiovascular-related outcomes;(3) To examine the extent to which polymorphisms of biologically relevant genes modify the response to a psychological stress challenge;and (4) To examine epigenetic changes (DNA methylation) of the glucocorticoid receptor gene as well as genomic DNA methylation and their association with (a) lifecourse social exposures;(b) cortisol and hemodynamic responses to a stress challenge;and (c) biological parameters previously linked to stress exposures. Our study will enhance our understanding not only of the epidemiologic links between stress and cardiovascular disease but also of the biologic mechanisms (involving genetic polymorphisms and changes to gene expression) through which these effects may be mediated. By illustrating how the study of genetic variability, biological markers, and social conditions can be integrated to enhance our understanding of the causes of ill health our project has the potential for contributing to major paradigmatic change in health research.

Public Health Relevance

It has been argued that stress may be important to the development of cardiovascular disease, but few population studies have comprehensively investigated the way in which stress operates. This study will investigate the links between stress and biological factors important to cardiovascular disease, including the interactions between stress and genes. This approach is necessary to better understand the importance of stress and to develop preventative interventions.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL101161-01
Application #
7835360
Study Section
Special Emphasis Panel (ZRG1-PSE-A (02))
Program Officer
Srinivas, Pothur R
Project Start
2010-06-15
Project End
2014-03-31
Budget Start
2010-06-15
Budget End
2011-03-31
Support Year
1
Fiscal Year
2010
Total Cost
$1,046,175
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Wu, Meihua; Diez-Roux, Ana; Raghunathan, Trivellore E et al. (2018) FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies. Biometrics 74:229-238
Lê-Scherban, Félice; Brenner, Allison B; Hicken, Margaret T et al. (2018) Child and Adult Socioeconomic Status and the Cortisol Response to Acute Stress: Evidence From the Multi-Ethnic Study of Atherosclerosis. Psychosom Med 80:184-192
Haljas, Kadri; Amare, Azmeraw T; Alizadeh, Behrooz Z et al. (2018) Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med 80:242-251
Smith, Jennifer A; Zhao, Wei; Wang, Xu et al. (2017) Neighborhood characteristics influence DNA methylation of genes involved in stress response and inflammation: The Multi-Ethnic Study of Atherosclerosis. Epigenetics 12:662-673
Smith, Jennifer A; Zhao, Wei; Yasutake, Kalyn et al. (2017) Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health 14:
Novak, Nicole L; Wang, Xu; Clarke, Philippa J et al. (2017) Diurnal salivary cortisol and nativity/duration of residence in Latinos: The Multi-Ethnic Study of Atherosclerosis. Psychoneuroendocrinology 85:179-189
He, Zihuai; Lee, Seunggeun; Zhang, Min et al. (2017) Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA). Genet Epidemiol 41:801-810
Joseph, Joshua J; Wang, Xu; Diez Roux, Ana V et al. (2017) Antecedent longitudinal changes in body mass index are associated with diurnal cortisol curve features: The multi-ethnic study of atherosclerosis. Metabolism 68:95-107
Spanakis, Elias K; Wang, Xu; Sánchez, Brisa N et al. (2016) Lack of significant association between type 2 diabetes mellitus with longitudinal change in diurnal salivary cortisol: the multiethnic study of atherosclerosis. Endocrine 53:227-39
Ware, Erin B; Smith, Jennifer A; Mukherjee, Bhramar et al. (2016) Applying Novel Methods for Assessing Individual- and Neighborhood-Level Social and Psychosocial Environment Interactions with Genetic Factors in the Prediction of Depressive Symptoms in the Multi-Ethnic Study of Atherosclerosis. Behav Genet 46:89-99

Showing the most recent 10 out of 44 publications