Literature DB >> 33820761

DNA Methylation GrimAge and Incident Diabetes: The Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Kyeezu Kim1,2,3, Brian T Joyce1,2, Yinan Zheng1,2, Pamela J Schreiner4, David R Jacobs4, Janet M Catov5, James M Shikany6, Mercedes R Carnethon2, Philip Greenland2, Linda V Van Horn2, Norrina B Allen2, Donald M Lloyd-Jones2, Erica P Gunderson7, Lifang Hou8,2.   

Abstract

DNA methylation (DNAm)-based biological age (epigenetic age) has been suggested as a useful biomarker of age-related conditions including type 2 diabetes (T2D), and its newest iterations (GrimAge measurements) have shown early promise. In this study, we explored the association between epigenetic age and incident T2D in the context of their relationships with obesity. A total of 1,057 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study were included in the current analyses. We stratified the participants into three groups: normal weight, overweight, and obese. A 1-year increase of GrimAge was associated with higher 10-year (study years 15-25) incidence of T2D (odds ratio [OR] 1.06, 95% CI 1.01-1.11). GrimAge acceleration, which represents the deviation of GrimAge from chronological age, was derived from the residuals of a model of GrimAge and chronological age, and any GrimAge acceleration (positive GrimAA: having GrimAge older than chronological age) was associated with significantly higher odds of 10-year incidence of T2D in obese participants (OR 2.57, 95% CI 1.61-4.11). Cumulative obesity was estimated by years since obesity onset, and GrimAge partially mediated the statistical association between cumulative obesity and incident diabetes or prediabetes (proportion mediated = 8.0%). In conclusion, both older and accelerated GrimAge were associated with higher risk of T2D, particularly among obese participants. GrimAge also statistically mediated the associations between cumulative obesity and T2D. Our findings suggest that epigenetic age measurements with DNAm can potentially be used as a risk factor or biomarker associated with T2D development.
© 2021 by the American Diabetes Association.

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Year:  2021        PMID: 33820761      PMCID: PMC8275890          DOI: 10.2337/db20-1167

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.337


  43 in total

1.  Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001.

Authors:  Ali H Mokdad; Earl S Ford; Barbara A Bowman; William H Dietz; Frank Vinicor; Virginia S Bales; James S Marks
Journal:  JAMA       Date:  2003-01-01       Impact factor: 56.272

2.  Development and Validation of an Empirical Dietary Inflammatory Index.

Authors:  Fred K Tabung; Stephanie A Smith-Warner; Jorge E Chavarro; Kana Wu; Charles S Fuchs; Frank B Hu; Andrew T Chan; Walter C Willett; Edward L Giovannucci
Journal:  J Nutr       Date:  2016-06-29       Impact factor: 4.798

3.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

Authors:  Martin J Aryee; Andrew E Jaffe; Hector Corrada-Bravo; Christine Ladd-Acosta; Andrew P Feinberg; Kasper D Hansen; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2014-01-28       Impact factor: 6.937

Review 4.  DNA methylation-based biomarkers and the epigenetic clock theory of ageing.

Authors:  Steve Horvath; Kenneth Raj
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

5.  Maternal diet and aging alter the epigenetic control of a promoter-enhancer interaction at the Hnf4a gene in rat pancreatic islets.

Authors:  Ionel Sandovici; Noel H Smith; Marloes Dekker Nitert; Matthew Ackers-Johnson; Santiago Uribe-Lewis; Yoko Ito; R Huw Jones; Victor E Marquez; William Cairns; Mohammed Tadayyon; Laura P O'Neill; Adele Murrell; Charlotte Ling; Miguel Constância; Susan E Ozanne
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-08       Impact factor: 11.205

6.  ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip.

Authors:  Zongli Xu; Liang Niu; Leping Li; Jack A Taylor
Journal:  Nucleic Acids Res       Date:  2015-09-17       Impact factor: 16.971

7.  Genome-wide DNA methylation analysis of human pancreatic islets from type 2 diabetic and non-diabetic donors identifies candidate genes that influence insulin secretion.

Authors:  Tasnim Dayeh; Petr Volkov; Sofia Salö; Elin Hall; Emma Nilsson; Anders H Olsson; Clare L Kirkpatrick; Claes B Wollheim; Lena Eliasson; Tina Rönn; Karl Bacos; Charlotte Ling
Journal:  PLoS Genet       Date:  2014-03-06       Impact factor: 5.917

8.  Epigenetic age of the pre-frontal cortex is associated with neuritic plaques, amyloid load, and Alzheimer's disease related cognitive functioning.

Authors:  Morgan E Levine; Ake T Lu; David A Bennett; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2015-12       Impact factor: 5.682

9.  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

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

Authors:  Drew R Nannini; Brian T Joyce; Yinan Zheng; Tao Gao; Lei Liu; Grace Yoon; Tianxiao Huan; Jiantao Ma; David R Jacobs; John T Wilkins; Jim Ren; Kai Zhang; Sadiya S Khan; Norrina Bai Allen; Steve Horvath; Donald M Lloyd-Jones; Philip Greenland; Lifang Hou
Journal:  Clin Epigenetics       Date:  2019-11-15       Impact factor: 6.551

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  4 in total

1.  Relative contributions of six lifestyle- and health-related exposures to epigenetic aging: the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Authors:  Kyeezu Kim; Yinan Zheng; Brian T Joyce; Hongmei Jiang; Philip Greenland; David R Jacobs; Kai Zhang; Lei Liu; Norrina B Allen; John T Wilkins; Sarah N Forrester; Donald M Lloyd-Jones; Lifang Hou
Journal:  Clin Epigenetics       Date:  2022-07-07       Impact factor: 7.259

Review 2.  Epigenetics of type 2 diabetes mellitus and weight change - a tool for precision medicine?

Authors:  Charlotte Ling; Karl Bacos; Tina Rönn
Journal:  Nat Rev Endocrinol       Date:  2022-05-05       Impact factor: 47.564

3.  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

Review 4.  The Coronary Artery Risk Development In Young Adults (CARDIA) Study: JACC Focus Seminar 8/8.

Authors:  Donald M Lloyd-Jones; Cora E Lewis; Pamela J Schreiner; James M Shikany; Stephen Sidney; Jared P Reis
Journal:  J Am Coll Cardiol       Date:  2021-07-20       Impact factor: 27.203

  4 in total

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