Dataset Information

Epigenetic age acceleration and metabolic syndrome in the coronary artery risk development in young adults study.

ABSTRACT: BACKGROUND:The metabolic syndrome (MetS) is a collection of metabolic disturbances that can lead to various cardiovascular diseases. Previous studies have shown a more adverse metabolic risk profile is associated with more advanced biological aging. The associations between epigenetic biomarkers of age with MetS, however, are not well understood. We therefore investigated the associations between epigenetic age acceleration and MetS severity score and incident MetS. RESULTS:A subset of study participants with available whole blood at examination years 15 and 20 from the Coronary Artery Risk Development in Young Adults Study underwent epigenomic profiling using the Illumina MethylationEPIC Beadchip (~?850,000 sites). Intrinsic and extrinsic epigenetic age acceleration (IEAA and EEAA) were calculated from DNA methylation levels. The MetS severity score was positively associated with IEAA at years 15 (P?=?0.016) and 20 (P?=?0.016) and EEAA at year 20 (P?=?0.040) in cross-sectional analysis. IEAA at year 20 was significantly associated with incident MetS at year 30 (OR?=?1.05 [95% CI 1.01, 1.10], P?=?0.028). CONCLUSIONS:To our knowledge, this is the first report of the longitudinal association between epigenetic age acceleration and MetS. These findings suggest that a higher MetS severity score is associated with accelerated epigenetic aging and such aging may play a role in the development of metabolic disorders, potentially serving as a useful biomarker of and early detection tool for future MetS.

SUBMITTER: Nannini DR

PROVIDER: S-EPMC6858654 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Epigenetic age acceleration and metabolic syndrome in the coronary artery risk development in young adults study.

Nannini Drew R DR Joyce Brian T BT Zheng Yinan Y Gao Tao T Liu Lei L Yoon Grace G Huan Tianxiao T Ma Jiantao J Jacobs David R DR Wilkins John T JT Ren Jim J Zhang Kai K Khan Sadiya S SS Allen Norrina Bai NB Horvath Steve S Lloyd-Jones Donald M DM Greenland Philip P Hou Lifang L

Clinical epigenetics 20191115 1

<h4>Background</h4>The metabolic syndrome (MetS) is a collection of metabolic disturbances that can lead to various cardiovascular diseases. Previous studies have shown a more adverse metabolic risk profile is associated with more advanced biological aging. The associations between epigenetic biomarkers of age with MetS, however, are not well understood. We therefore investigated the associations between epigenetic age acceleration and MetS severity score and incident MetS.<h4>Results</h4>A subs ...[more]

PMID: 31730017

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Project description:BackgroundDespite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life, missing early transitions in metabolic risk that may represent opportunities for averting the development of cardiovascular disease.Methods and resultsIn 4420 young adults in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we defined a "metabolic" risk score based on components of the Third Report of the Adult Treatment Panel's definition of metabolic syndrome. Using latent class trajectory analysis adjusted for sex, race, and time-dependent body mass index, we identified 6 distinct metabolic trajectories over time, specified by initial and final risk: low-stable, low-worsening, high-stable, intermediate-worsening, intermediate-stable, and high-worsening. Overall, individuals gained weight over time in CARDIA with statistically but not clinically different body mass index trend over time. Dysglycemia and dyslipidemia over time were highest in initially high or worsening trajectory groups. Divergence in metabolic trajectories occurred in early adulthood (before age 40), with 2 of 3 individuals experiencing an increase in metabolic risk over time. Membership in a higher-risk trajectory (defined as initially high or worsening over time) was associated with greater prevalence and extent of coronary artery calcification, left ventricular mass, and decreased left ventricular strain at year 25. Importantly, despite similar rise in body mass index across trajectories over 25 years, coronary artery calcification and left ventricular structure and function more closely tracked risk factor trajectories.ConclusionsTransitions in metabolic risk occur early in life. Obesity-related metabolic dysfunction is related to subclinical cardiovascular phenotypes independent of evolution in body mass index, including coronary artery calcification and myocardial hypertrophy and dysfunction.

Dataset Information

Epigenetic age acceleration and metabolic syndrome in the coronary artery risk development in young adults study.

Publications

Epigenetic age acceleration and metabolic syndrome in the coronary artery risk development in young adults study.

Similar Datasets

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