Bioinformatics analysis of glycolysis-related differentially expressed genes (GRDEGs) and their significance in ischemic stroke.

ABSTRACT: The incidence of ischemic stroke (IS) is escalating rapidly, and glycolysis significantly influences the pathogenesis and prognosis of these patients. However, current methods for assessing this are insufficient. This study aimed to identify molecular biomarkers of glycolysis in patients with IS. We retrieved relevant data from the Gene Expression Omnibus database and identified differentially expressed genes (DEGs). Gene set enrichment analysis was conducted on all genes within the integrated Gene Expression Omnibus dataset. Glycolysis-related differentially expressed genes (GRDEGs) were subjected to gene ontology and pathway analysis (Kyoto Encyclopedia of Genes and Genomes) to determine the functions of DEGs. The protein-protein interaction network of GRDEGs was established using the ST

SUBMITTER: Che Y 

PROVIDER: S-EPMC12282749 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature