Evidence map›Paper›PMID 42613593›Full record

ArticleBMC gastroenterology2026

Identification of IL1RN, MUC1, and SERPINA1 as key NET-related biomarkers in ulcerative colitis-associated intestinal fibrosis via bioinformatics and experimental validation.

Qiang Chuai, Xiaohong Jiang, Kaixuan Li, Xin Liu, Jia Guo, Jianping Liu

Abstract read
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Article in BMC gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qiang Chuai *Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Xiaohong Jiang *Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Kaixuan LiDongfang Hospital, Beijing University of Chinese Medicine (Qinhuangdao Traditional Chinese Medicine Hospital), Qinhuangdao, Hebei, China.
Xin LiuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Jia GuoGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Jianping LiuGraduate School, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China. 13603396653@163.com.

Funding

Hebei University of Chinese Medicine Postgraduate Innovation Program XCXZZBS2026040Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research(Hebei) SZX2021019
6 · The paper itself

Abstract

backgroundLong-term recurrent episodes of ulcerative colitis (UC) can lead to intestinal fibrosis (IF), which severely affects patient prognosis. Neutrophil extracellular traps (NETs) have been identified as critical drivers of various fibrotic diseases; however, their precise role and regulatory mechanisms in UC-associated intestinal fibrosis (UC-IF) remain to be systematically elucidated. Therefore, identifying the key regulatory genes through which NETs participate in UC-IF is highly important for the diagnosis and treatment of this condition.

methodsIn this study, we analyzed the gene expression profiles of UC patients via publicly available databases and screened for neutrophil extracellular trap-related differentially expressed genes (NET-DEGs), identifying a total of 99 NET-DEGs. Enrichment analysis was then performed to explore the biological processes involving these genes. Furthermore, this study identified 5 potentially key NET-DEGs using machine learning algorithms. On the basis of these 5 genes, combined with protein-protein interaction (PPI) network analysis, intestinal fibrosis-related gene set variation analysis (GSVA), and immune infiltration analysis, we identified NET-related biomarkers associated with UC-IF. Finally, we established a mouse model of UC-IF in vivo to validate the bioinformatics findings.

resultsThis analysis revealed that IL1RN, MUC1, and SERPINA1 represent a novel panel of NET-related biomarkers for UC-IF. These genes were enriched in immune responses, interleukin signaling pathways, O-glycan biosynthesis, and mucosal barrier-related pathways. Furthermore, these genes were positively correlated with several immune cell types, including neutrophils, macrophages (M0 and M1), and dendritic cells, collectively mediating immune dysregulation in UC and thereby contributing to the pathogenesis of UC-IF. Notably, animal experiments further validated the aberrantly high expression of these genes in the intestinal tissues of UC-IF mice, which was consistent with the bioinformatics findings.

conclusionsAs UC-IF-associated NET biomarkers, IL1RN, MUC1 and SERPINA1 provide novel insights into the clinical diagnosis, treatment, and translational research of UC-IF.

Indexed as

alpha 1-AntitrypsinColitis, UlcerativeExtracellular TrapsInterleukin 1 Receptor Antagonist ProteinIntestinesMucin-1AnimalsBiomarkersComputational BiologyDisease Models, AnimalFibrosisHumansMiceProtein Interaction Mapsalpha 1-AntitrypsinBiomarkersInterleukin 1 Receptor Antagonist ProteinMucin-1SERPINA1 protein, humanBioinformaticsMachine learningNeutrophil extracellular trapsUlcerative colitis-associated intestinal fibrosis

Identifiers

PMID42613593
PMCPMC13483529

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