Literature DB >> 33726838

Epigenetic age acceleration is associated with cardiometabolic risk factors and clinical cardiovascular disease risk scores in African Americans.

Farah Ammous1, Wei Zhao1, Scott M Ratliff1, Thomas H Mosley2, Lawrence F Bielak1, Xiang Zhou3, Patricia A Peyser1, Sharon L R Kardia1, Jennifer A Smith4,5.   

Abstract

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality among US adults. African Americans have higher burden of CVD morbidity and mortality compared to any other racial group. Identifying biomarkers for clinical risk prediction of CVD offers an opportunity for precision prevention and earlier intervention.
RESULTS: Using linear mixed models, we investigated the cross-sectional association between four measures of epigenetic age acceleration (intrinsic (IEAA), extrinsic (EEAA), PhenoAge (PhenoAA), and GrimAge (GrimAA)) and ten cardiometabolic markers of hypertension, insulin resistance, and dyslipidemia in 1,100 primarily hypertensive African Americans from sibships in the Genetic Epidemiology Network of Arteriopathy (GENOA). We then assessed the association between epigenetic age acceleration and time to self-reported incident CVD using frailty hazard models and investigated CVD risk prediction improvement compared to models with clinical risk scores (Framingham risk score (FRS) and the atherosclerotic cardiovascular disease (ASCVD) risk equation). After adjusting for sex and chronological age, increased epigenetic age acceleration was associated with higher systolic blood pressure (IEAA), higher pulse pressure (EEAA and GrimAA), higher fasting glucose (PhenoAA and GrimAA), higher fasting insulin (EEAA), lower low density cholesterol (GrimAA), and higher triglycerides (GrimAA). A five-year increase in GrimAA was associated with CVD incidence with a hazard ratio of 1.54 (95% CI 1.22-2.01) and remained significant after adjusting for CVD risk factors. The addition of GrimAA to risk score models improved model fit using likelihood ratio tests (P = 0.013 for FRS and P = 0.008 for ASCVD), but did not improve C statistics (P > 0.05). Net reclassification index (NRI) showed small but significant improvement in reassignment of risk categories with the addition of GrimAA to FRS (NRI: 0.055, 95% CI 0.040-0.071) and the ASCVD equation (NRI: 0.029, 95% CI 0.006-0.064).
CONCLUSIONS: Epigenetic age acceleration measures are associated with traditional CVD risk factors in an African-American cohort with a high prevalence of hypertension. GrimAA was associated with CVD incidence and slightly improved prediction of CVD events over clinical risk scores.

Entities:  

Keywords:  Age acceleration; Cardiometabolic risk factors; Cardiovascular disease; Clinical risk scores; DNA methylation; Epigenetic age

Mesh:

Year:  2021        PMID: 33726838      PMCID: PMC7962278          DOI: 10.1186/s13148-021-01035-3

Source DB:  PubMed          Journal:  Clin Epigenetics        ISSN: 1868-7075            Impact factor:   6.551


  54 in total

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Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

2.  Trends in Cardiometabolic Mortality in the United States, 1999-2017.

Authors:  Nilay S Shah; Donald M Lloyd-Jones; Martin O'Flaherty; Simon Capewell; Kiarri N Kershaw; Mercedes Carnethon; Sadiya S Khan
Journal:  JAMA       Date:  2019-08-27       Impact factor: 56.272

3.  Biomarkers for Aging Identified in Cross-sectional Studies Tend to Be Non-causative.

Authors:  Paul G Nelson; Daniel E L Promislow; Joanna Masel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-02-14       Impact factor: 6.053

4.  A longitudinal study of DNA methylation as a potential mediator of age-related diabetes risk.

Authors:  Crystal D Grant; Nadereh Jafari; Lifang Hou; Yun Li; James D Stewart; Guosheng Zhang; Archana Lamichhane; JoAnn E Manson; Andrea A Baccarelli; Eric A Whitsel; Karen N Conneely
Journal:  Geroscience       Date:  2017-11-20       Impact factor: 7.713

5.  GrimAge Outperforms Other Epigenetic Clocks in the Prediction of Age-Related Clinical Phenotypes and All-Cause Mortality.

Authors:  Cathal McCrory; Giovanni Fiorito; Belinda Hernandez; Silvia Polidoro; Aisling M O'Halloran; Ann Hever; Cliona Ni Cheallaigh; Ake T Lu; Steve Horvath; Paolo Vineis; Rose Anne Kenny
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-04-30       Impact factor: 6.053

6.  Epigenetic clock analysis of diet, exercise, education, and lifestyle factors.

Authors:  Austin Quach; Morgan E Levine; Toshiko Tanaka; Ake T Lu; Brian H Chen; Luigi Ferrucci; Beate Ritz; Stefania Bandinelli; Marian L Neuhouser; Jeannette M Beasley; Linda Snetselaar; Robert B Wallace; Philip S Tsao; Devin Absher; Themistocles L Assimes; James D Stewart; Yun Li; Lifang Hou; Andrea A Baccarelli; Eric A Whitsel; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2017-02-14       Impact factor: 5.682

Review 7.  The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis.

Authors:  Peter D Fransquet; Jo Wrigglesworth; Robyn L Woods; Michael E Ernst; Joanne Ryan
Journal:  Clin Epigenetics       Date:  2019-04-11       Impact factor: 6.551

8.  DNA methylation-based biomarkers of age acceleration and all-cause death, myocardial infarction, stroke, and cancer in two cohorts: The NAS, and KORA F4.

Authors:  Cuicui Wang; Wenli Ni; Yueli Yao; Allan Just; Jonathan Heiss; Yaguang Wei; Xu Gao; Brent A Coull; Anna Kosheleva; Andrea A Baccarelli; Annette Peters; Joel D Schwartz
Journal:  EBioMedicine       Date:  2020-12-03       Impact factor: 8.143

9.  DNA methylation age of human tissues and cell types.

Authors:  Steve Horvath
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

10.  Association between plasminogen activator inhibitor-1 and cardiovascular events: a systematic review and meta-analysis.

Authors:  Richard G Jung; Pouya Motazedian; F Daniel Ramirez; Trevor Simard; Pietro Di Santo; Sarah Visintini; Mohammad Ali Faraz; Alisha Labinaz; Young Jung; Benjamin Hibbert
Journal:  Thromb J       Date:  2018-06-05
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  8 in total

1.  Associations Between Blood Pressure and Accelerated DNA Methylation Aging.

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Journal:  J Am Heart Assoc       Date:  2022-01-08       Impact factor: 6.106

2.  Epigenetics of single-site and multi-site atherosclerosis in African Americans from the Genetic Epidemiology Network of Arteriopathy (GENOA).

Authors:  Farah Ammous; Wei Zhao; Lisha Lin; Scott M Ratliff; Thomas H Mosley; Lawrence F Bielak; Xiang Zhou; Patricia A Peyser; Sharon L R Kardia; Jennifer A Smith
Journal:  Clin Epigenetics       Date:  2022-01-17       Impact factor: 6.551

3.  Epigenetic age acceleration and cardiovascular outcomes in school-age children: The Generation R Study.

Authors:  Giulietta S Monasso; Vincent W V Jaddoe; Leanne K Küpers; Janine F Felix
Journal:  Clin Epigenetics       Date:  2021-11-16       Impact factor: 6.551

4.  Associations Between DNA Methylation Age Acceleration, Depressive Symptoms, and Cardiometabolic Traits in African American Mothers From the InterGEN Study.

Authors:  Nicole Beaulieu Perez; Allison A Vorderstrasse; Gary Yu; Gail D'Eramo Melkus; Fay Wright; Stephen D Ginsberg; Cindy A Crusto; Yan V Sun; Jacquelyn Y Taylor
Journal:  Epigenet Insights       Date:  2022-06-28

5.  A bibliometric analysis of DNA methylation in cardiovascular diseases from 2001 to 2021.

Authors:  Yan Zhang; Zijun Jia; Qingbing Zhou; Ying Zhang; Dandan Li; Yifei Qi; Fengqin Xu
Journal:  Medicine (Baltimore)       Date:  2022-08-19       Impact factor: 1.817

6.  Effect of a 3-Week Multidisciplinary Body Weight Reduction Program on the Epigenetic Age Acceleration in Obese Adults.

Authors:  Antonello E Rigamonti; Valentina Bollati; Chiara Favero; Benedetta Albetti; Diana Caroli; Laura Abbruzzese; Silvano G Cella; Alessandro Sartorio
Journal:  J Clin Med       Date:  2022-08-10       Impact factor: 4.964

7.  Methylation of FKBP5 is associated with accelerated DNA methylation ageing and cardiometabolic risk: replication in young-adult and middle-aged Black Americans.

Authors:  Steven R H Beach; Mei Ling Ong; Man-Kit Lei; Sierra E Carter; Ronald L Simons; Frederick X Gibbons; Robert A Philibert
Journal:  Epigenetics       Date:  2021-10-06       Impact factor: 4.861

8.  Life-Course Associations between Blood Pressure-Related Polygenic Risk Scores and Hypertension in the Bogalusa Heart Study.

Authors:  Xiao Sun; Yang Pan; Ruiyuan Zhang; Ileana De Anda-Duran; Zhijie Huang; Changwei Li; Mengyao Shi; Alexander C Razavi; Lydia A Bazzano; Jiang He; Tamar Sofer; Tanika N Kelly
Journal:  Genes (Basel)       Date:  2022-08-18       Impact factor: 4.141

  8 in total

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