Evidence map›Paper›PMID 42064059›Full record

ArticleFrontiers in immunology2026

Shared molecular features and potential diagnostic biomarkers between ulcerative colitis and sarcopenia: an integrative bioinformatics analysis with preliminary experimental validation.

Beiying Deng, Yinghui Liu, Pengzhan He, Nian Wang, Lin Xu, Jingjing Ma

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Beiying DengDepartment of Geriatric, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yinghui LiuDepartment of Geriatric, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Pengzhan HeDepartment of Geriatric, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Nian WangDepartment of Geriatric, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Lin XuDepartment of Geriatric, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Jingjing MaDepartment of Geriatric, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia and ulcerative colitis (UC) may share potential biological links through mechanisms involving immune dysregulation, gut microbiota imbalance, and inflammatory pathway activation. This study aimed to identify fatty acid metabolism-related shared genes between UC and sarcopenia. A total of 277 shared differentially expressed genes (sDEGs) were identified, which were mainly enriched in immune-, inflammation-, and metabolism-related pathways. By intersecting the sDEGs with fatty acid metabolism-related gene sets, 13 fatty acid metabolism-related shared differentially expressed genes (FAM-sDEGs) were obtained, and unsupervised clustering based on these genes stratified UC patients into distinct molecular subtypes. Using machine learning and feature-ranking methods, PHYH and HSD17B3 were ultimately identified as key hub genes. ROC analysis showed that these two genes exhibited diagnostic value for both sarcopenia and UC across multiple datasets. In addition, the expression of the hub genes was significantly associated with immune cell infiltration profiles and was further validated in independent datasets. Preliminary validation in a UC cell model confirmed the downregulation of PHYH, while immunohistochemical analysis of colonic tissues further supported the downregulated expression of PHYH in patients with UC, consistent with the bioinformatics results. Collectively, these findings suggest that fatty acid metabolism may play an important role in the shared molecular features between UC and sarcopenia, and that PHYH may serve as potential diagnostic biomarkers.

Indexed as

Colitis, UlcerativeComputational BiologySarcopeniaBiomarkersFatty AcidsGene Expression ProfilingHumansMachine LearningBiomarkersFatty Acidsbiomarkfatty acid metabolismmachine learningsarcopeniaulcerative colitis

Identifiers

PMID42064059
PMCPMC13124693

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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.