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Zheng Y, Joyce B, Hwang SJ, Ma J, Liu L, Allen N, Krefman A, Wang J, Gao T, Nannini D, Zhang H, Jacobs DR, Gross M, Fornage M, Lewis CE, Schreiner PJ, Sidney S, Chen D, Greenland P, Levy D, Hou L, Lloyd-Jones D. Association of Cardiovascular Health Through Young Adulthood With Genome-Wide DNA Methylation Patterns in Midlife: The CARDIA Study. Circulation 2022; 146:94-109. [PMID: 35652342 PMCID: PMC9348746 DOI: 10.1161/circulationaha.121.055484] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiovascular health (CVH) from young adulthood is strongly associated with an individual's future risk of cardiovascular disease (CVD) and total mortality. Defining epigenomic biomarkers of lifelong CVH exposure and understanding their roles in CVD development may help develop preventive and therapeutic strategies for CVD. METHODS In 1085 CARDIA study (Coronary Artery Risk Development in Young Adults) participants, we defined a clinical cumulative CVH score that combines body mass index, blood pressure, total cholesterol, and fasting glucose measured longitudinally from young adulthood through middle age over 20 years (mean age, 25-45). Blood DNA methylation at >840 000 methylation markers was measured twice over 5 years (mean age, 40 and 45). Epigenome-wide association analyses on the cumulative CVH score were performed in CARDIA and compared in the FHS (Framingham Heart Study). We used penalized regression to build a methylation-based risk score to evaluate the risk of incident coronary artery calcification and clinical CVD events. RESULTS We identified 45 methylation markers associated with cumulative CVH at false discovery rate <0.01 (P=4.7E-7-5.8E-17) in CARDIA and replicated in FHS. These associations were more pronounced with methylation measured at an older age. CPT1A, ABCG1, and SREBF1 appeared as the most prominent genes. The 45 methylation markers were mostly located in transcriptionally active chromatin and involved lipid metabolism, insulin secretion, and cytokine production pathways. Three methylation markers located in genes SARS1, SOCS3, and LINC-PINT statistically mediated 20.4% of the total effect between CVH and risk of incident coronary artery calcification. The methylation risk score added information and significantly (P=0.004) improved the discrimination capacity of coronary artery calcification status versus CVH score alone and showed association with risk of incident coronary artery calcification 5 to 10 years later independent of cumulative CVH score (odds ratio, 1.87; P=9.66E-09). The methylation risk score was also associated with incident clinical CVD in FHS (hazard ratio, 1.28; P=1.22E-05). CONCLUSIONS Cumulative CVH from young adulthood contributes to midlife epigenetic programming over time. Our findings demonstrate the role of epigenetic markers in response to CVH changes and highlight the potential of epigenomic markers for precision CVD prevention, and earlier detection of subclinical CVD, as well.
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Affiliation(s)
- Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiantao Ma
- Tufts University Friedman School of Nutrition Science and Policy, Boston, Massachusetts, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Norrina Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amy Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Drew Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Haixiang Zhang
- Center for Applied Mathematics, Tianjin University, Tianjin, China
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Dongquan Chen
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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Joyce BT, Gao T, Zheng Y, Ma J, Hwang SJ, Liu L, Nannini D, Horvath S, Lu AT, Bai Allen N, Jacobs DR, Gross M, Krefman A, Ning H, Liu K, Lewis CE, Schreiner PJ, Sidney S, Shikany JM, Levy D, Greenland P, Hou L, Lloyd-Jones D. Epigenetic Age Acceleration Reflects Long-Term Cardiovascular Health. Circ Res 2021; 129:770-781. [PMID: 34428927 DOI: 10.1161/circresaha.121.318965] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Brian T Joyce
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Tao Gao
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Yinan Zheng
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Jiantao Ma
- The Framingham Heart Study, Framingham, MA; (J.M., S.-J.H., D.L.).,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (J.M., S.-J.H., D.L.)
| | - Shih-Jen Hwang
- The Framingham Heart Study, Framingham, MA; (J.M., S.-J.H., D.L.).,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (J.M., S.-J.H., D.L.)
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO (L.L.)
| | - Drew Nannini
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Steve Horvath
- Department of Human Genetics, UCLA David Geffen School of Medicine, Los Angeles, CA (S.H., A.T.L.)
| | - Ake T Lu
- Department of Human Genetics, UCLA David Geffen School of Medicine, Los Angeles, CA (S.H., A.T.L.)
| | - Norrina Bai Allen
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health (D.R.J., M.G.), University of Minnesota, Minneapolis
| | - Myron Gross
- Division of Epidemiology and Community Health, School of Public Health (D.R.J., M.G.), University of Minnesota, Minneapolis
| | - Amy Krefman
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Hongyan Ning
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Kiang Liu
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Cora E Lewis
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham (C.E.L., J.M.S.)
| | | | - Stephen Sidney
- Division of Research, Kaiser Permanente, Oakland, CA (S.S.)
| | - James M Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham (C.E.L., J.M.S.)
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA; (J.M., S.-J.H., D.L.).,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (J.M., S.-J.H., D.L.)
| | - Philip Greenland
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Lifang Hou
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Donald Lloyd-Jones
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
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Hammond MM, Krefman A, Ning H, Allen NB, Shah SJ, Yeboah J, Lloyd-Jones DM, Khan S, Lima J, Reyfman P. Abstract MP33: Cardiac Structure And Function Phenogroups And Risk Of Incident Heart Failure: Multi-ethnic Study Of Atherosclerosis. Circulation 2021. [DOI: 10.1161/circ.143.suppl_1.mp33] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Indices of cardiac structure and function, such as left ventricular (LV) mass and ejection fraction (EF), have individually been associated with development of incident heart failure (HF). Identifying HF risk groups (or phenogroups) based on imaging parameters may help inform distinct imaging phenotypes to target for prevention.
Objectives:
To identify phenogroups based on cardiovascular magnetic resonance imaging (cMRI) parameters in participants free of cardiovascular disease at baseline and examine longitudinal risk of incident HF.
Methods:
We included participants from the Multi-Ethnic Study of Atherosclerosis (MESA) who had completed baseline cMRI between 2000 and 2002. We applied latent class analysis to define phenogroups based on cMRI parameters of right ventricular and LV structure and function (including circumferential strain) at baseline (using the Bayesian Information Criterion as well as visual inspection). We used Cox-proportional hazard models to assess the association between membership in a phenogroup and risk of incident HF adjusted for age, sex, race, hypertension, diabetes, and hyperlipidemia.
Results:
Of 1484 participants, 48% were female and mean age was 65 (10) years. Over a median follow-up of 13 years, a total of 91 incident HF events occurred. We identified 3 distinct phenogroups that differed in terms of cardiac structure and function. Adjusted hazards ratio (95% confidence interval) for incident HF was higher among participants in Group 3 (2.08 [1.17, 3.71]) and Group 2 (2.24 [1.15, 4.37]), compared with Group 1 as the referent (
Table
).
Conclusion:
Phenogroups based on cMRI were differentially associated with risk of HF. Classification of cardiovascular imaging phenogroups integrating traditional and strain parameters within the normal range may be useful in identifying risk for HF; further validation is required before implementation.
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Lan TY, Krefman A, Bancks M, Shea S, Liu K, Allen N. CARDIOVASCULAR HEALTH AND SUCCESSFUL AGING: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS. Innov Aging 2019. [PMCID: PMC6846711 DOI: 10.1093/geroni/igz038.2394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Individual risk factors have been shown to be associated with successful aging. However, the combined effect of behaviors and biomarkers on successful aging remains unclear. By using the Multi-Ethnic Study of Atherosclerosis (MESA) dataset, this study was to examine the association of AHA’s Cardiovascular Health (CVH) with successful aging. A total of 1,597 who were followed from baseline (2000-2002) at age 49-64 through exam 6 (2016-2018) at age 65-80 were included. CVH, including smoking, body mass index (BMI), physical activity, diet, blood pressure, cholesterol, and blood glucose, was measured at baseline. The CVH score, ranging from 0-14, was divided into ideal (11–14), intermediate (9–10), and poor (0–8) groups. Normal or successful aging, defined as avoiding major disease (including cancer, cardiovascular, or severe lung or kidney diseases), no disability, high cognitive function, high physical functioning, and engagement with life, was assessed at exam 6. We compared the cumulative incidence of successful aging among three groups. Modified Poisson regression model was employed to estimate relative risk (RR) adjusting for age, gender, race, education, income, marital status, and alcohol consumption. Among study participants at baseline, 36% were in ideal, 39% in Intermediate, and 25% in poor CVH. By exam 6, only 18% met the criteria for successful aging. Compared with the poor group, the adjusted RRs (95 % CI) of successful aging for the intermediate and ideal groups were 1.78 (1.23-2.56) and 2.56 (1.79-3.67). Our data suggest that CVH in midlife is associated with successful aging in later life.
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Affiliation(s)
- Tzuo-Yun Lan
- Institute of Hospital & Health Care Administration, National Yang-Ming University, Taipei, Taiwan
| | - Amy Krefman
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
| | - Michael Bancks
- Wake Forest University School of Medicine, Winston Salem, North Carolina, United States
| | - Steven Shea
- Columbia University Mailman School of Public Health, New York, New York, United States
| | - Kiang Liu
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
| | - Norrina Allen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
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