Evidence map›Paper›PMID 41294095›Full record

ArticleJournal of the American Heart Association2025

DNA Methylation Algorithms of Aging and Incident Cardiovascular Disease: A Prospective Cohort Study.

Xian Cui, Chunbei Yi, Hui Zhang, Yaqian Xu, Chongyu Ding, Zhaojun Wang, Shiqun Sun, Xiangwei Li

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. [Application of biological age for cardiovascular risk prediction in a community-based Chinese cohort].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    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

8 authors.

Xian CuiDiagnostic Imaging Center, Shanghai Children's Medical Center School of Medicine, Shanghai Jiao Tong University Shanghai China.ORCID 0009-0000-1669-9467
Chunbei YiDiagnostic Imaging Center, Shanghai Children's Medical Center School of Medicine, Shanghai Jiao Tong University Shanghai China.
Hui ZhangSchool of Global Health, Chinese Centre for Tropical Diseases Research Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID 0000-0002-7358-5375
Yaqian XuSchool of Global Health, Chinese Centre for Tropical Diseases Research Shanghai Jiao Tong University School of Medicine Shanghai China.
Chongyu DingSchool of Global Health, Chinese Centre for Tropical Diseases Research Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID 0000-0001-5371-1162
Zhaojun WangSchool of Global Health, Chinese Centre for Tropical Diseases Research Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID 0000-0003-2853-1850
Shiqun SunDepartment of Cardiovascular Medicine, Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID 0000-0002-1848-4782
Xiangwei LiSchool of Global Health, Chinese Centre for Tropical Diseases Research Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID 0000-0002-9450-7771

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundWhile DNA methylation (DNAm)-based algorithms of aging show promise for predicting age-related diseases, their comparative utility for incident cardiovascular disease (CVD) remains underexplored. We aimed to systematically compare 13 DNAm algorithms in relation to CVD risk in older adults.

methodsThis prospective cohort study included 2112 participants from the US HRS (Health and Retirement Study) with baseline DNAm data (2016) and 6-year follow-up. DNAm profiling was performed using the Infinium MethylationEPIC BeadChip kit (EPIC, Illumina, San Diego, CA). Thirteen widely used DNAm algorithms of aging were evaluated. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs per 1-SD increase in risk scores for incident CVD, including any CVD, congestive heart failure, and stroke.

resultsDuring a median of 37 months' follow-up, a total of 288 CVD cases (congestive heart failure, 38; stroke, 152) were observed. Zhang_DNAmAge, methylation Pace of Aging, and DNAmGrimAgeAcc showed positive associations with any CVD risk, with HRs per SD increase of 1.25 (95% CI, 1.07-1.45), 1.16 (95% CI, 1.02-1.33), and 1.24 (95% CI, 1.05-1.47), respectively. For specific CVD subtypes, DNAmGrimAge was associated with congestive heart failure risk (HR, 1.47 [95% CI, 1.11-1.95]), while both mPoA (HR, 1.24 [95% CI, 1.03-1.49]) and HorvathAcc (HR, 1.28 [95% CI, 1.07-1.55]) predicted incident stroke. Significant dose-response relationships (

conclusionsZhang_DNAmAge, methylation Pace of Aging, and DNAmGrimAgeAcc function as independent predictors of incident CVD. These epigenetic biomarkers may improve early CVD detection and risk stratification in aging populations.

Indexed as

AgingAlgorithmsCardiovascular DiseasesDNA MethylationAgedAged, 80 and overAge FactorsEpigenesis, GeneticFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk Factorsage accelerationcardiovascular diseaseDNA methylationepigenetic clockincident

Identifiers

PMID41294095
PMCPMC12748520

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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.