Evidence map›Paper›PMID 41420675›Full record

ArticleBiogerontology2025

Association of plasma metabolites with epigenetic age acceleration: a two-sample Mendelian randomization study.

Hongyue Chen, Fengdan Wang, Yuangang Guo, Ying Zhu, Xiaotong Li, Zihan Meng, Xiaojing Feng, Yang Yang, Shangning Wu, Shufei Li and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

11 authors.

Hongyue ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Fengdan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Yuangang GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Ying ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Xiaotong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Zihan MengDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Xiaojing FengDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Yang YangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Shangning WuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Shufei LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun, 130021, China. li_bo@jlu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic age acceleration (EAA) is a biomarker of biological aging associated with multiple diseases. Plasma metabolites are potential targets for disease prevention. Therefore, our study aims to investigate the association between plasma metabolites and EAA.

methodsStatistics of plasma metabolites and EAA were obtained from the GWAS database. After rigorously screening the instrumental variables, we applied five Mendelian randomization methods to evaluate the relationship between each metabolite and the EAA. The robustness of the results was verified by a series of sensitivity analyses, and metabolic pathway enrichment analysis was performed for significantly associated metabolites.

resultsOur analysis identified 149 plasma metabolites associated with EAA (p < 0.05), including 46 metabolites associated with IEAA, 47 with HannumAge, 38 with GrimAge, and 41 with PhenoAge. Among these, palmitoylcarnitine levels remained correlated with EAA after multiple testing correction (P

conclusionThese results demonstrated that plasma metabolomics, particularly amino acid and lipid metabolism, were associated with EAA and aging. The "cysteine and methionine metabolism" pathway emerged as a potential mechanism of aging, and may underpin metabolic alterations during the aging process, and its metabolites, such as methionine, 5-methylthioadenosine, and α-ketobutyrate, may serve as intervention targets.

Indexed as

AgingEpigenesis, GeneticBiomarkersGenome-Wide Association StudyHumansMendelian Randomization AnalysisMetabolomeMetabolomicsBiomarkersBlood metabolitesDNA methylationEpigenetic Age AccelerationMendelian randomization

Identifiers

PMID41420675

What Socratic holds

Textmetadata
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.