Identification of senescence-related hub genes in cerebral ischemia- reperfusion cells by comprehensive transcriptome analysis

The study aimed to identify genes linked to cell senescence in CIRI. DEGs were analysed by establishing a rat model of CIRI and by transcriptome analysis. The GSE 16561 dataset was obtained from the GEO database and controls for the association analysis of CS with CIRI. CS-related genes were collected from the GeneCards database. The GEO dataset with CS-related genes was analysed for the intersection of differential genes with aging-related genes using Venn diagrams, and 16 CS-related hub genes were screened. The expression correlation heatmap of these intersected genes was constructed to explore their interrelationships. The interactions between the overlapping genes were investigated by PPI network analysis. KEGG enrichment analysis and GSEA were meticulously performed on the core intersecting genes to explore their potential biological functions and intricate pathways. The KEGG enrichment analysis highlighted key metabolic pathways, while GSEA revealed significant gene sets associated. The clinical potential of core intersecting genes as markers of cerebral ischemia-reperfusion senescence was evaluated using ROC analysis, and six core genes regulating senescence in CIRI cells were identified. In conclusion, FCGR2A, FOS, MMP9, PTGS2, SPI1, and STAT3 can be used as potential therapeutic targets for CIRI, a novel diagnostic biomolecular marker for CS.