biostudies-literatureWang SThe Natural Science Foundation of Guangdong Province, ChinaThe Guangzhou Science and Technology Program Project, China17060https://www.ebi.ac.uk/biostudies/studies/S-EPMC12084348biostudies-literatureUnknown15(1)Ischemic stroke (IS) is a leading global cause of mortality and disability, particularly prominent in patients with end-stage renal disease (ESRD). Despite clinical evidence of their comorbidity, the molecular mechanisms underlying their interaction remain elusive. This study aims to identify shared biomarkers, gene regulatory networks, and therapeutic targets through integrative bioinformatics analyses. Gene expression datasets for IS (GSE16561, GSE22255) and ESRD (GSE37171, GSE142153) were obtained from gene expression omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) and differential expression genes (DEGs) analysis identified shared genes and enriched pathways. Protein-protein interaction networks were constructed using STRING with clustering algorithms. Immune cell iScientific reportsBioinformatics analysis of comorbid mechanisms between ischemic stroke and end stage renal disease.PMC120843482020A1515011249201804010421Li ZMeng SWang SZhao QZhang YShen SWang XZhou YZhuang JZhou JZhu CfalseBioinformatics analysis of comorbid mechanisms between ischemic stroke and end stage renal disease.Ischemic stroke (IS) is a leading global cause of mortality and disability, particularly prominent in patients with end-stage renal disease (ESRD). Despite clinical evidence of their comorbidity, the molecular mechanisms underlying their interaction remain elusive. This study aims to identify shared biomarkers, gene regulatory networks, and therapeutic targets through integrative bioinformatics analyses. Gene expression datasets for IS (GSE16561, GSE22255) and ESRD (GSE37171, GSE142153) were obtained from gene expression omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) and differential expression genes (DEGs) analysis identified shared genes and enriched pathways. Protein-protein interaction networks were constructed using STRING with clustering algorithms. Immune cell i2025-01-01T00:00:00Z2025 May2026-06-02T20:54:07.63Z2026-05-28T03:06:25.746ZS-EPMC120843484037971310.1038/s41598-025-01049-4