Identification of metabolism regulators as diagnostic markers for ulcerative colitis and their correlation with immune infiltration

This study determined novel metabolism-related diagnostic biomarkers for ulcer-ative colitis (UC) and assessed their correlation with immune cell infiltration levels. Transcriptome data of UC was downloaded from the Gene Expression Omnibus (GEO) database, metabolism-related genes were summarised from the Gene Set Enrichment Analysis (GSEA) database. A total of 537 metabolism-related differen-tially expressed genes (DEGs) in UC were applied to functional enrichment analy-sis. We processed least absolute shrinkage and selection operator (LASSO) regres-sion analysis and support vector machine-recursive feature elimination (SVM-RFE). We obtained 6 potential metabolism-related diagnostic biomarkers (CHST13, ETNK1, LPCAT1, PDE6A, PLA2G2A, and UGT2A3). Expression patterns and diagnostic ROC curves were depicted in both the training and testing co-horts to verify their diagnostic value. Immune infiltration analysis indicated that UC samples have more abundant infiltration levels of immune cells. Fur-thermore, the upregulated diagnostic biomarkers significantly positively cor-related with B cell memory, T cell CD4 memory activated, dendritic cells ac-tivated, etc., while the downregulated ones mainly significantly positively correlated with mast cells resting, NK cells activated, and macrophages M2. Our study primarily identified 6 metabolism regulators (CHST13, ETNK1, LP-CAT1, PDE6A, PLA2G2A, and UGT2A3) as potential diagnostic biomarkers for UC and determined their correlation with immune infiltration.

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Publication Details

Journal
Polish Journal of Pathology
Published
2025-01-01
DOI
https://doi.org/10.5114/pjp.2025.153972
Primary Topic
Pharmacological Effects of Natural Compounds
Type
article
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article

Identification of metabolism regulators as diagnostic markers for ulcerative colitis and their correlation with immune infiltration

Hualei Chen, Yuanyuan Ding, Qilong Duan, Peng Liu et al.
Polish Journal of Pathology
Pharmacological Effects of Natural Compounds
article

Identification of metabolism regulators as diagnostic markers for ulcerative colitis and their correlation with immune infiltration

Hualei Chen, Yuanyuan Ding, Qilong Duan, Peng Liu, Xiaoping Xu
article en

Abstract

This study determined novel metabolism-related diagnostic biomarkers for ulcer-ative colitis (UC) and assessed their correlation with immune cell infiltration levels. Transcriptome data of UC was downloaded from the Gene Expression Omnibus (GEO) database, metabolism-related genes were summarised from the Gene Set Enrichment Analysis (GSEA) database. A total of 537 metabolism-related differen-tially expressed genes (DEGs) in UC were applied to functional enrichment analy-sis. We processed least absolute shrinkage and selection operator (LASSO) regres-sion analysis and support vector machine-recursive feature elimination (SVM-RFE). We obtained 6 potential metabolism-related diagnostic biomarkers (CHST13, ETNK1, LPCAT1, PDE6A, PLA2G2A, and UGT2A3). Expression patterns and diagnostic ROC curves were depicted in both the training and testing co-horts to verify their diagnostic value. Immune infiltration analysis indicated that UC samples have more abundant infiltration levels of immune cells. Fur-thermore, the upregulated diagnostic biomarkers significantly positively cor-related with B cell memory, T cell CD4 memory activated, dendritic cells ac-tivated, etc., while the downregulated ones mainly significantly positively correlated with mast cells resting, NK cells activated, and macrophages M2. Our study primarily identified 6 metabolism regulators (CHST13, ETNK1, LP-CAT1, PDE6A, PLA2G2A, and UGT2A3) as potential diagnostic biomarkers for UC and determined their correlation with immune infiltration.

Polish Journal of PathologyVol. 76(2)
Jining First People's Hospital (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 67%
Pharmacological Effects of Natural Compounds
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