Evidence map›Paper›PMID 40175429›Full record

ArticleScientific reports2025

Identification of ulcerative colitis diagnostic markers from differentially expressed genes shared with Hirschsprung disease.

Wei Zuo, Zhengguang Wang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Wei ZuoDepartment of General Surgery, The First Affiliated Hospital, Anhui Medical University, Hefei, 230022, China.
Zhengguang WangDepartment of General Surgery, The First Affiliated Hospital, Anhui Medical University, Hefei, 230022, China. wangzhengguang@ahmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hirschsprung disease (HSCR) and ulcerative colitis (UC) exhibit overlapping features, with studies indicating a high incidence of UC among individuals with HSCR, suggesting a potential link worth exploring at the genetic level. This study aimed to identify differentially expressed genes (DEGs) common to both conditions and evaluate their diagnostic and therapeutic potential for UC. Transcriptomic expression data from colorectal biopsies were obtained from the Gene Expression Omnibus to identify common DEGs. Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes methods. Feature genes for distinguishing UC were identified using support vector machine-recursive feature elimination, LASSO regression, and random forest techniques. Receiver operating characteristic (ROC) analysis assessed the diagnostic performance of these genes, leading to a nomogram for UC prediction. Pearson correlation analysis evaluated the relationship between immune cell infiltration and feature genes, while a Protein-Protein Interaction (PPI) network examined interactions with related proteins. We identified 49 common DEGs, linked to biological processes such as "positive regulation of T cell-mediated immunity." The feature genes BEX2, GNG4, and ROGDI were consistently downregulated in UC, demonstrating diagnostic potential with AUC values exceeding 0.7. The findings suggest significant changes in immune cell abundance and highlight BEX2, GNG4, and ROGDI as promising diagnostic markers and therapeutic targets for UC.

Indexed as

Colitis, UlcerativeHirschsprung DiseaseBiomarkersGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansProtein Interaction MapsROC CurveTranscriptomeBiomarkersDiagnosisHirschsprung diseaseImmune cellsMachine learningUlcerative Colitis

Identifiers

PMID40175429
PMCPMC11965274

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.