Evidence map›Paper›PMID 40118808›Full record

ArticleJournal of the American Heart Association2025

Impact of DNA-Methylation Age Acceleration on Long-Term Mortality Among US Adults With Cardiovascular-Kidney-Metabolic Syndrome.

Shuang Wu, Jun Zhu, Siqi Lyu, Juan Wang, Xinghui Shao, Han Zhang, Ziyi Zhong, Hongyu Liu, Lihui Zheng, Yang Chen

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

10 authors.

Shuang WuNational Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.
Jun ZhuNational Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.
Siqi LyuNational Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.
Juan WangNational Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.
Xinghui ShaoNational Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.
Han ZhangNational Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.
Ziyi ZhongLiverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart and Chest Hospital Liverpool UK.ORCID 0000-0003-3344-2019
Hongyu LiuLiverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart and Chest Hospital Liverpool UK.ORCID 0000-0003-0383-8725
Lihui ZhengNational Clinical Research Center of Cardiovascular Diseases, National Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing People's Republic of China.ORCID 0009-0000-2867-411X
Yang ChenLiverpool Centre for Cardiovascular Science at University of Liverpool Liverpool John Moores University and Liverpool Heart and Chest Hospital Liverpool UK.ORCID 0000-0002-2808-6286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between DNA methylation age acceleration (DNAmAA) and cardiovascular-kidney-metabolic (CKM) syndrome stages and long-term mortality in the population with CKM syndrome remains unclear. METHODS AND

resultsThis cohort study included 1889 participants from the National Health and Nutrition Examination Survey (1999-2002) with CKM stages and DNA methylation age data. DNAmAA was calculated as residuals from the regression of DNA methylation age on chronological age. The primary outcome was all-cause mortality, with cardiovascular and noncardiovascular mortality as secondary outcomes. Proportional odds models assessed the associations between DNAmAAs and CKM stages, and Cox proportional hazards regression models estimated the associations between DNAmAAs and mortality. Significant associations were found between DNAmAAs and advanced CKM stages, particularly for GrimAge2Mort acceleration (GrimAA) (odds ratio [OR], 1.547 [95% CI, 1.316-1.819]). Over an average follow-up of 14 years, 1015 deaths occurred. Each 5-unit increase in GrimAA was associated with a 50% increase in all-cause mortality (95% CI, 1.39-1.63), a 77% increase in cardiovascular mortality (95% CI, 1.46-2.15), and a 42% increase in noncardiovascular mortality (95% CI, 1.27-1.59). With the lowest GrimAA tertile as a reference, the highest GrimAA tertile showed hazard ratios of 1.95 (95% CI, 1.56-2.45) for all-cause mortality, 3.06 (95% CI, 2.13-4.40) for cardiovascular mortality, and 1.65 (95% CI, 1.20-2.29) for noncardiovascular mortality. Mediation analysis indicated that GrimAA mediates the association between various exposures (including physical activity, Healthy Eating Index-2015 score, hemoglobin A1c, etc.) and mortality.

conclusionsGrimAA may serve as a valuable biomarker for assessing CKM stages and mortality risk in individuals with CKM syndrome, thereby informing personalized management strategies.

Indexed as

AgingCardio-Renal SyndromeCardiovascular DiseasesDNA MethylationMetabolic SyndromeAdultAgedAge FactorsCause of DeathFemaleHumansMaleMiddle AgedNutrition SurveysRisk AssessmentRisk Factorscardiovascular‐kidney‐metabolicDNA‐methylation ageDNA‐methylation age accelerationGrimAge2Mortmortality

Identifiers

PMID40118808
PMCPMC12132836

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.