biostudies-literatureGao CHunan Provincial Science and Technology Department100817https://www.ebi.ac.uk/biostudies/studies/S-EPMC12648971biostudies-literatureUnknown80<h4>Background</h4>The aim of this study was to find novel diagnostic markers for renal fibrosis based on bioinformatics analysis.<h4>Methods</h4>In this study, we first identified differentially expressed genes and modular genes associated with renal fibrosis. We utilized the GSE76882 dataset (81 renal fibrosis patients and 91 control samples) to identify these genes and then intersected them with the DEGs in the GSE120495 dataset (5 renal fibrosis patients and 5 control samples). To gain insights into the biological processes involved, we performed GO and KEGG analyses on the intersection genes and constructed protein interaction networks. Next, we employed the LASSO regression algorithm and the random forest algorithm to further screen the candidate biomarkers. The sensitivity and speciClinics (Sao Paulo, Brazil)VSIG4 as a novel immune-related diagnostic biomarker and therapeutic target in renal fibrosis.PMC126489712021SK53524Peng FXie XPeng LGao CfalseVSIG4 as a novel immune-related diagnostic biomarker and therapeutic target in renal fibrosis.<h4>Background</h4>The aim of this study was to find novel diagnostic markers for renal fibrosis based on bioinformatics analysis.<h4>Methods</h4>In this study, we first identified differentially expressed genes and modular genes associated with renal fibrosis. We utilized the GSE76882 dataset (81 renal fibrosis patients and 91 control samples) to identify these genes and then intersected them with the DEGs in the GSE120495 dataset (5 renal fibrosis patients and 5 control samples). To gain insights into the biological processes involved, we performed GO and KEGG analyses on the intersection genes and constructed protein interaction networks. Next, we employed the LASSO regression algorithm and the random forest algorithm to further screen the candidate biomarkers. The sensitivity and speci2025-01-01T00:00:00Z2025 Jan-Dec2026-07-15T06:11:46.323Z2026-06-30T03:19:20.521ZS-EPMC126489714121838610.1016/j.clinsp.2025.100817