Evidence map›Paper›PMID 40509822›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2025

[Association between DNA methylation clock and obesity-related indicators: A longitudinal twin study].

S Liu, W Cao, J Lv, C Yu, T Huang, D Sun, C Liao, Y Pang, R Hu, R Gao and 6 more

Abstract readTwin StudyEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

S LiuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
W CaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
J LvDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
C YuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
T HuangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
D SunDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
C LiaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Y PangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
R HuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
R GaoQingdao Center for Disease Control and Prevention, Qingdao 266033, Shandong, China.
M YuZhejiang Center for Disease Control and Prevention, Hangzhou 310051, China.
J ZhouJiangsu Center for Disease Control and Prevention, Nanjing 210008, China.
X WuSichuan Center for Disease Control and Prevention, Chengdu 610041, China.
Y LiuHeilongjiang Center for Disease Control and Prevention, Harbin 150090, China.
W GaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
L LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the relationship between obesity indicators and DNA methylation clocks acceleration, and to analyze their temporal sequence.

methodsData were obtained from two surveys conducted in 2013 and 2017-2018 by the Chinese National Twin Registry. Peripheral blood DNA methylation data were measured using the Illumina Infinium Human Methylation 450K BeadChip and EPIC BeadChip. DNA methylation clocks/acceleration metrics (GrimAA, PCGrimAA and DunedinPACE) were calculated using the DNA methylation online tool (https://dnamage. GENETICS: ucla.edu/) or R code provided by researchers. Obesity indicators included weight, body mass index (BMI), waist circumference, waist-hip ratio, and waist-height ratio. A total of 1 070 twin individuals were included in the cross-sectional analysis, comprising 378 monozygotic (MZ) twin pairs and 155 dizygotic (DZ) twin pairs for within-pair analysis. Mixed-effects models were used to examine the associations between obesity indicators and DNA methylation clocks, as well as their acceleration measures. The longitudinal analysis included 314 twin individuals, comprising 95 MZ twin pairs and 62 DZ twin pairs for within-pair analysis. Cross-lagged panel models were applied to further explore the temporal relationships between obesity and DNA methylation clock indicators. All analyses were conducted both in the full twin sample and separately within MZ and DZ twin pairs.

resultsIn the cross-sectional analysis population, monozygotic twins accounted for 71.0%, males for 68.0%, and the mean chronological age was (49.9±12.1) years. In the longitudinal analysis population, monozygotic twins accounted for 60.5%, males for 60.8%, with a mean baseline chronological age of (50.4±10.2) years and a mean follow-up duration of (4.6±0.6) years. Except for the waist-to-hip ratio, which was significantly higher at follow-up compared with baseline, no statistically significant differences were observed in the means of other obesity indicators between baseline and follow-up. Correlation analysis revealed that weight, BMI, waist circumfe-rence, waist-hip ratio (WHR), and waist-height ratio (WHtR) were positively correlated with DunedinPACE in all the twins, with WHtR showing the strongest association (

conclusionObesity indicators correlate with DNA methylation clock acceleration metrics. Baseline obesity may influence changes in certain DNA methylation clock indicators over time, suggesting that obesity could exert long-term health effects by accelerating DNA methylation aging. However, these associations may be confounded by shared genetic or environmental factors among the twins.

Indexed as

DNA MethylationObesityAdultBody Mass IndexChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedTwins, DizygoticTwins, MonozygoticWaist CircumferenceWaist-Hip RatioAgingDNA methylationGenetic epigenesisObesityTwin study

Identifiers

PMID40509822
PMCPMC12171592

What Socratic holds

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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 Socratic graph.