ArticleClinical epigenetics2020
The influences of DNA methylation and epigenetic clocks, on metabolic disease, in middle-aged Koreans.
Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 36 citations in OpenAlex.
- Article
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- Three generations of epigenetic clocks in mediating the adverse effect of smoking on metabolic health.Epigenomics · 2025Article
- Cross-sectional and longitudinal association of seven DNAm-based predictors with metabolic syndrome and type 2 diabetes.Clinical epigenetics · 2025Article
- The relationship between epigenetic biomarkers and the risk of diabetes and cancer: a machine learning modeling approach.Frontiers in public health · 2025Article
- Association between epigenetic age and type 2 diabetes mellitus or glycemic traits: A longitudinal twin study.Aging cell · 2024Article
- Metabolic syndrome and epigenetic aging: a twin study.International journal of obesity (2005) · 2024Article
- Psychogenic Aging: A Novel Prospect to Integrate Psychobiological Hallmarks of Aging.Translational psychiatry · 2024Review
- Epigenetic regulation in metabolic diseases: mechanisms and advances in clinical study.Signal transduction and targeted therapy · 2023Review
- Epigenetic and transcriptomic alterations in the ClC-3-deficient mice consuming a normal diet.Frontiers in cell and developmental biology · 2023Article
- Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods.Epigenetics · 2022Article
- Relative contributions of six lifestyle- and health-related exposures to epigenetic aging: the Coronary Artery Risk Development in Young Adults (CARDIA) Study.Clinical epigenetics · 2022Article
- Tobacco Smoking Increases Methylation of Polypyrimidine Tract Binding Protein 1 Promoter in Intracranial Aneurysms.Frontiers in aging neuroscience · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConsidering that DNA methylation (DNAm) profiles are, in large part, modifiable by lifestyle and environmental influences, it has been proposed that epigenetic clocks provide a better estimate of biological age than chronological age, as associated with current health status. Even though metabolic diseases induce precocious aging, little is known about associations between metabolic syndrome (MetS) and DNA methylation clocks, and stochastic epigenetic mutations (SEMs), in a Korean population. Therefore, we assessed four different epigenetic clocks (Pan-tissue, Hannum, PhenoAge, and GrimAge), and their accelerations, on MetS and MetS-related lifestyle factors, in Koreans. We measured genome-wide DNA methylation (485,512 CpGs), using an Illumina 450 methylation BeadChip array, with data from 349 blood samples.
resultsDNAm GrimAge strongly correlated with chronological age (r = 0.77, p < 0.001) compared to the other three epigenetic clocks and SEMs. DNAm-based surrogate markers, with regard to MetS, including the gene encoding plasminogen activator inhibitor-1 (PAI1), also correlated with chronological age. Within cohorts stratified by age group, sex, regional area, smoking, and alcohol drinking, a positive correlation was observed between DNAm GrimAge and chronological age (0.43 ≤ r ≤ 0.78). In particular, we identified MetS to associate with accelerated GrimAge, and age-adjusted PAI1, in the middle-age group. Accerelated GrimAge also associated with risk of MetS in the middle-age group (odds ratio = 1.16, p = 0.046), which appears to mediate their associations with fasting glucose. Multiple linear regression showed that DNAm GrimAge, and its acceleration, associate with MetS scores, in the middle-age group (r = 0.26, p = 0.006). Age-adjusted PAI1 was also significantly different between the MetS and control groups, and further associated with MetS scores (r = 0.31, P < 0.001), in the middle age group.
conclusionDNAm GrimAge is a surrogate marker for MetS, and its component score, in Koreans. This association can be observed only in middle age. Therefore, appropriate DNA methylation clocks may aid in the prediction of Korean metabolic diseases.
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