Evidence map›Paper›PMID 41281553›Full record

SynthesisFrontiers in neurology2025

Accelerated biological aging based on DNA methylation clocks is a predictor of stroke occurrence: a systematic review and meta-analysis.

Jiacai Feng, Xingyu Huang, Rongqing Wu, Guohui Ding, Ming Liu, Renli Deng

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 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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0cells of the map it votes in
0citing 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

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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

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

6 authors.

Jiacai FengNursing Department, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Xingyu HuangNursing Department, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Rongqing WuNursing Department, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Guohui DingInternational Human Phenome Institutes, Shanghai, China.
Ming LiuPeking University Health Centre-Macao Polytechnic University, Macau, Macao SAR, China.
Renli DengNursing Department, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although traditional vascular risk factors, such as hypertension and diabetes, are incorporated into stroke risk prediction models, a significant proportion of stroke events remain unexplained by these models. Increasing evidence suggests that accelerated biological aging, as measured by DNA methylation clocks, may reflect reduced organ function and heightened susceptibility to disease. However, the relationship between epigenetic age acceleration (EAA) and stroke risk remains poorly understood, with limited comprehensive synthesis of the available evidence. Methods: We conducted a systematic search of PubMed, Embase, Web of Science, and Cochrane Library databases (up to January 10, 2025) for observational studies examining the relationship between DNA methylation-derived EAA and stroke risk. The study protocol was registered with PROSPERO (CRD420251010621). Results: Thirteen studies met the inclusion criteria. Random-effects meta-analysis revealed a significant positive association between accelerated biological aging and stroke risk (OR = 1.16, 95% CI 1.13-1.19, Conclusion: DNA methylation-derived measures of accelerated biological aging are robust predictors of stroke. These findings provide new insights into stroke risk assessment and emphasize potential biomarkers for early detection and prevention. Further large-scale prospective studies are needed to validate these associations and examine the role of additional modifying factors.

Indexed as

biological ageDNA methylationepigenetic age accelerationmeta-analysisstroke

Identifiers

PMID41281553
PMCPMC12631622

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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.