Evidence map›Paper›PMID 38660768›Full record

ArticleAging cell2024

Association between epigenetic age and type 2 diabetes mellitus or glycemic traits: A longitudinal twin study.

Ke Miao, Xuanming Hong, Weihua Cao, Jun Lv, Canqing Yu, Tao Huang, Dianjianyi Sun, Chunxiao Liao, Yuanjie Pang, Runhua Hu and 7 more

Abstract readTwin Study
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Association of Epigenetic Aging Biomarkers With Risk of MASLD-Related HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  10. Article
  11. Article
  12. Social relationships and epigenetic markers of aging in middle-aged and older adults: cross-sectional and prospective analyses.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  13. Article
  14. Association of Epigenetic Markers of Aging With Prevalent and Incident Type 2 Diabetes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. DNA methylation and prediction of biological age.Frontiers in molecular biosciences · 2025
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ke MiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0003-4018-2446
Xuanming HongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Tao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-0328-1368
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Chunxiao LiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuanjie PangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Runhua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zengchang PangQingdao Center for Disease Control and Prevention, Qingdao, China.
Min YuZhejiang Center for Disease Control and Prevention, Hangzhou, China.
Hua WangJiangsu Center for Disease Control and Prevention, Nanjing, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, China.
Yu LiuHeilongjiang Center for Disease Control and Prevention, Harbin, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

National Natural Science Foundation of China 81573223National Natural Science Foundation of China 82073633National Natural Science Foundation of China 82373659Peking University Outstanding Discipline Construction Project of Epidemiology and BiostatisticsSpecial Fund for Health Scientific Research in the Public Welfare 201002007Special Fund for Health Scientific Research in the Public Welfare 201502006
6 · The paper itself

Abstract

Epigenetic clocks based on DNA methylation have been known as biomarkers of aging, including principal component (PC) clocks representing the degree of aging and DunedinPACE representing the pace of aging. Prior studies have shown the associations between epigenetic aging and T2DM, but the results vary by epigenetic age metrics and people. This study explored the associations between epigenetic age metrics and T2DM or glycemic traits, based on 1070 twins (535 twin pairs) from the Chinese National Twin Registry. It also explored the temporal relationships of epigenetic age metrics and glycemic traits in 314 twins (157 twin pairs) who participated in baseline and follow-up visits after a mean of 4.6 years. DNA methylation data were used to calculate epigenetic age metrics, including PCGrimAge acceleration (PCGrimAA), PCPhenoAge acceleration (PCPhenoAA), DunedinPACE, and the longitudinal change rate of PCGrimAge/PCPhenoAge. Mixed-effects and cross-lagged modelling assessed the cross-sectional and temporal relationships between epigenetic age metrics and T2DM or glycemic traits, respectively. In the cross-sectional analysis, positive associations were identified between DunedinPACE and glycemic traits, as well as between PCPhenoAA and fasting plasma glucose, which may be not confounded by shared genetic factors. Cross-lagged models revealed that glycemic traits (fasting plasma glucose, HbA1c, and TyG index) preceded DunedinPACE increases, and TyG index preceded PCGrimAA increases. Glycemic traits are positively associated with epigenetic age metrics, especially DunedinPACE. Glycemic traits preceded the increases in DunedinPACE and PCGrimAA. Lowering the levels of glycemic traits may reduce DunedinPACE and PCGrimAA, thereby mitigating age-related comorbidities.

Indexed as

Diabetes Mellitus, Type 2Epigenesis, GeneticAdultAgedAgingBlood GlucoseCross-Sectional StudiesDNA MethylationFemaleHumansLongitudinal StudiesMaleMiddle AgedBlood Glucoseagingepigenetic clockglycemic traitstwinstype 2 diabetes mellitus

Identifiers

PMID38660768
PMCPMC11258448

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.