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Analysis of key genes and potential drugs in acute myocardial infarction combined with chronic obstructive pulmonary disease based on bioinformatics |
JIANG Chenyang LI Shuo CHAO Xiaoying ZHONG Guoqiang |
Department of Cardiovascular Medicine, the First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, Nanning 530021, China |
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Abstract Objective To provide a new bioinformatics basis for the diagnosis and treatment of the disease, we analyzed the key genes and potential drugs of acute myocardial infarction (AMI) complicated with chronic obstructive pulmonary disease (COPD) based on bioinformatics. Methods Three data sets containing AMI and COPD microarray information were downloaded from the GEO database and differentially expressed genes (DEG) were screened. GO function annotation, KEGG pathway enrichment analysis, and Metascape enrichment analysis were performed on the differentially expressed genes shared by the two diseases. Then a protein protein interaction (PPI) network was constructed to identify key genes involved in the occurrence and development of diseases. Finally, the drug-drug gene interaction database was used to find potential therapeutic drugs. Results After integrating the three data sets of AMI and COPD, 61 DEGs were obtained. The results of GO function annotation showed that they were mainly involved in inflammation, carbohydrate and glucocorticoid receptor binding. Mostly located in the outer membrane of organelles and the inner cavity of particles. KEGG and Metascape enrich the pathways such as immune, inflammation, and apoptosis. Eight key genes identified by the PPI network, a total of 74 potentially related therapeutic drugs were screened. Tuberculin, tomalizumab, resveratrol caproic acid, tasquinide, and pannimod were highly associated with diseases. Conclusion The identified genes and pathways may be potential therapeutic targets for AMI combined with COPD, and provide a new basis for the molecular mechanism of the disease.
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