Screening and validation of key cardiac dysfunction genes after acute ischemic stroke:a bioinformatics analysis
Objective To use bioinformatics analysis to identify the key genes and signaling pathways involved in cardiac dysfunction after acute ischemic stroke.Methods The GSE102558 dataset was downloaded from the Gene Expression Omnibus(GEO)database,and genes with values of P<0.05 and|log2FC|>0.6 were identified as being differentially expressed.The MCODE plugin in Cytoscape software performed a functional module analysis of the protein-protein interaction(PPI)network,while the CytoHubba plugin screened for core genes.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were also performed.A middle cerebral artery occlusion model was constructed to verify core gene expression using real-time PCR.Results Among the screened differential genes,385 were upregulated and 354 were downregulated.The top ten core genes were Col1a1,Col1a2,Col3a1,Fbn1,Postn,Col5a1,Mmp3,Eln,Acta2,and Timp3.The GO enrichment mainly involved the extracellular matrix,the collagen fiber tissue,vascular development,and protease binding.KEGG was mainly enriched in protein digestion and absorption,the relaxin pathway,advanced gly-cation end products-receptor for advanced glycation end products,and platelet activation.Real-time PCR verified that Col3a1and Postn expressions decreased in the heart tissue after acute ischemic stroke.Conclusion Col3a1and Postnexpressions may be closely associ-ated with cardiac dysfunction occurrence and development after acute ischemic stroke.
万方数据
维普
