Evidence map›Paper›PMID 41700295›Full record

ArticleFrontiers in genetics2026

Mitophagy-related molecular signatures in ulcerative colitis revealed by machine learning and molecular dynamics.

Yanru Han, Weihua Ren, Sujuan Li, Zhenxia Zhao, Zhiqiang Lin, Fucheng Zhao

Abstract read
In one paragraph

Article in Frontiers in genetics, 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

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

1 citing paper in PubMed.

  1. Review
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.

Yanru HanDepartment of Integrated Chinese and Western Medicine, The First Affiliated Hospital of Henan Medical University, Weihui, China.
Weihua RenDepartment of Integrated Chinese and Western Medicine, The First Affiliated Hospital of Henan Medical University, Weihui, China.
Sujuan LiDepartment of Integrated Chinese and Western Medicine, The First Affiliated Hospital of Henan Medical University, Weihui, China.
Zhenxia ZhaoDepartment of Integrated Chinese and Western Medicine, The First Affiliated Hospital of Henan Medical University, Weihui, China.
Zhiqiang LinDepartment of Integrated Chinese and Western Medicine, The First Affiliated Hospital of Henan Medical University, Weihui, China.
Fucheng ZhaoDepartment of Integrated Chinese and Western Medicine, The First Affiliated Hospital of Henan Medical University, Weihui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ulcerative colitis (UC) is a lifelong, chronic inflammatory disorder, characterized by recurrent and diffuse inflammation of the rectal and colonic mucosa. Increasing evidence suggests that impaired mitophagy contributes to immune dysregulation and epithelial injury in UC. However, the mitophagy-related molecular landscape and its therapeutic potential remain largely unexplored. Methods: Mitophagy-related genes (MRGs) were intersected with differentially expressed genes to identify UC-associated MRGs. Functional enrichment, immune infiltration, and consensus clustering analyses were performed to characterize molecular subtypes. Three machine learning methods were employed to identify diagnostic models. Candidate therapeutic agents were identified by the CMap database. Results: A total of 35 UC-associated MRGs were identified, enriched in cell activation, fatty acid metabolism, and the PPAR signaling pathway, revealing strong immunometabolic coupling in UC. Consensus clustering stratified UC patients into two subtypes: a metabolism-dominant subtype (C1) and an inflammation-activated subtype (C2). Three hub genes-CD55, CPT1A, and SLC16A1-were screened and validated as robust diagnostic markers. Drug prediction and molecular docking revealed strong binding between galunisertib and CD55, which was further validated by molecular dynamics simulations. Discussion: This study delineated the mitophagy-related molecular signatures of UC and identified CD55, CPT1A, and SLC16A1 as key biomarkers linking mitochondrial dysfunction, metabolic reprogramming, and immune activation. Furthermore, galunisertib was proposed as a potential therapeutic agent, providing a theoretical basis for UC therapy.

Indexed as

drug predictionmachine learningmitophagymolecular dynamic simulationulcerative colitis

Identifiers

PMID41700295
PMCPMC12906901

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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.