Evidence map›Paper›PMID 40121277›Full record

ArticleScientific reports2025

Assessing the influence of plasma metabolites on chronic skin ulcer risk: a two-sample Mendelian randomization study.

Zheng Ye, Deqing Hong, Jiaqi Yuan, Peng Xu, Wenbin Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zheng YeSchool of Mathematics and Information Science, Guangzhou University, Guangzhou, 510006, China.
Deqing HongSchool of Mathematics and Information Science, Guangzhou University, Guangzhou, 510006, China.
Jiaqi YuanSchool of Mathematics and Information Science, Guangzhou University, Guangzhou, 510006, China.
Peng XuSchool of Mathematics and Information Science, Guangzhou University, Guangzhou, 510006, China. gdxupeng@gzhu.edu.cn.
Wenbin LiuSchool of Mathematics and Information Science, Guangzhou University, Guangzhou, 510006, China. wbliu6910@gzhu.edu.cn.

Funding

Municipal School Joint Fund of Guangzhou Science and Technology Bureau SL2022A03J00935National Natural Science Foundation of China 62002079National Natural Science Foundation of China 62072128Natural Science Foundation of Guangdong Province of China 2023A1515011401Open Project of Guangdong Provincial Key Laboratory of Artifificial Intelligence in Medical Image Analysis and Application 2022B1212010011
6 · The paper itself

Abstract

Chronic skin ulcers, although rare, pose severe and debilitating challenges. The identification of causal metabolite biomarkers presents an opportunity to refine effective risk assessment strategies for this condition. In this study, we conducted a comprehensive Two-Sample Mendelian Randomization (TSMR) investigation to delineate the potential causal effects of plasma metabolites on chronic skin ulcer risk. Exposure data comprised 14,296 participants with 913 metabolites from INTERVAL/EPIC-Norfolk, and 8,299 participants with 1,091 metabolites and 309 ratios from the Canadian Longitudinal Study on Aging (CLSA). Outcome data came from the finngen_R9_L12_CHRONICULCEROFSKIN (1,840 cases, 353,088 controls) and UK Biobank Chronic ulcer of skin (495 cases, 455,853 controls) cohorts. Leveraging the inverse-variance weighted (IVW) method, alongside MR-Egger and MR-PRESSO sensitivity analyses, we evaluated metabolite associations with chronic skin ulcer risk. Further assessment involved a phenome-wide MR (Phe-MR) analysis to explore potential repercussions of targeting identified metabolites for intervention. Our study identified 12 distinct metabolites significantly associated with chronic skin ulcers, demonstrating consistent and replicable results. Notably, X-19,141 exhibited the highest reproducibility. These findings highlight novel plasma metabolites relevant to chronic skin ulcers, offering theoretical underpinnings for mechanistic research and clinical strategies in prevention and treatment.

Indexed as

Mendelian Randomization AnalysisMetabolomeSkin UlcerAgedBiomarkersCanadaChronic DiseaseFemaleHumansMaleMiddle AgedRisk FactorsBiomarkersChronic skin ulcersPhewasPlasma metabolitesRiskTwo-sample Mendelian randomization

Identifiers

PMID40121277
PMCPMC11929753

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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.