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pmid:39870856
Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.
Wei Chen · Zeyan Xu · Haitao Sun · Wen Feng · Zhenhua Huang
Scientific reports · 2025 doi:10.1038/s41598-025-88148-4
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Experiment
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Complete file
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This study aimed to explore the functional roles of ubiquitination-related genes in CD. Differentially expressed ubiquitination-related genes were identified by intersecting differentially expressed genes (DEGs) from the GSE95095 dataset in the Gene Expression Omnibus (GEO) database with a set of ubiquitination-related genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Key genes were selected by combining hub genes from the protein-protein interaction (PPI) network with feature genes identified by Lasso and Random Forest (RF) algorithms. Additionally, the correlation between key genes and immune infiltration was assessed, and Gene Set Enrichment Analysis (GSEA) of key genes was conducted. The efficacy of key genes was validated using ROC curves in an external dataset, and their expression was confirmed in LPS-induced Caco-2 cells through RT-qPCR. A total of 32 ubiquitination-related DEGs were identified, and two key genes (UBE2R2, NEDD4L) were selected. The infiltration of M2 macrophages was reduced in CD patients, with UBE2R2 expression negatively correlated and NEDD4L expression positively correlated with M2 macrophage infiltration. GSEA indicated that UBE2R2 was enriched in terpenoid backbone biosynthesis, regulation of autophagy, and limonene and pinene degradation, while NEDD4L was enriched in lysosome, Wnt signaling, and calcium signaling pathways. ROC curves demonstrated superior efficacy for NEDD4L. In LPS-induced Caco-2 cells, UBE2R2 expression increased, while NEDD4L expression decreased. 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