Bioinformation Analysis of Key Genes and Pathways of Acute Myocardial Infarction to Predict Potential Medicine

This study was aimed to retrieval differentially expressed genes and biological signaling pathways of Acute Myocardial Infarction (AMI) based on integrated bioinformatics analysis[1]. Using Gene Expression Omnibus (GEO) dataset was used to download mRNA expression profile GSE66360 containing 50 healthy cohorts and 49 patients experiencing Acute Myocardial Infarction to study the the potential mechanism and predict medicine target in Acute Myocardial Infarction (AMI). The consistently differentially expressed genes(DEGs) were identified,and functional annotation and pathway analysis of these genes were excavated with GO, KEGG and Reactome. The protein-protein interaction network(PPI) of DEGs was created with Cytoscape and STRING to screen the hub genes including TNF, IL1B, FN1, CD4, PLEK, JUN, TLR4, FOS, LRRK2, TLR2. On the ground of discovered information, the potential drugs were calculated. The functional genes enrich mainly in Cytokine-cytokine receptor interaction, osteoclast differentiation, neutrophil degranulation and signaling by interleukins and so on. This study digs the pathological process of AMI and may aid in learning the deeper molecular mechanism of AMI and predict potential drugs of this disease