[Screening of key genes and pathways of ischemic stroke and prediction of traditional Chinese medicines based on bioinformatics].
摘要
The aim of this paper was to explore the key genes and pathogenesis of ischemic stroke(IS) by bioinformatics, and predict the potential traditional Chinese medicines for IS. Based on the gene-chip raw data set of GSE22255 from National Center of Biotechnology Information(NCBI), the article enrolled in 20 patients with ischemic stroke and 20 sex-and age-matched controls, and differentially expressed genes(DEGs) were screened based on R language software. The DAVID tool and R language software were used to perform gene ontology(GO) biological process enrichment analysis and Kyoto encyclopedia of genes and gnomes(KEGG) pathway enrichment analysis. The DEGs were imported into STRING to construct a protein-protein interaction network, and the Molecular Complexity Module(MCODE) plug-in of Cytoscape software was used to visualize and analyze the key functional modules. Moreover, the core genes and the medical ontology information retrieval platform(Coremine Medical) were mapped to each other to screen the traditional Chinese medicines and construct drug-active ingredient-target network. Compared with healthy controls, 14 DEGs were obtained, of which 12 genes were up-regulated and 2 genes were down-regulated. DEGs were mainly involved in immune response, inflammatory process, signal transduction, and cell proliferation regulation. The interleukin-17(IL-17), nuclear factor kappaB(NF-κB), tumor necrosis factor(TNF), nucleotide binding oligomerization domain(NOD)-like receptor and other signaling pathways were involved in KEGG pathway enrichment analysis. The key modules of the DEGs-encoding protein interaction network mainly focused on 7 genes of TNF, JUN, recombinant immediate early response 3(IER3), recombinant early growth response protein 1(EGR1), prostaglandin-endoperoxide synthase 2(PTGS2), C-X-C motif chemokine ligand 8(CXCL8) and C-X-C motif chemokine ligand 2(CXCL2), which were involved in biological processes widely such as neuroinflammation and immunity. TNF and JU