Pathogenesis and therapeutic targets of inflammatory cardiomyopathy based on bioinformatics analysis

Hongjun You; Qianqian Zhao; Shuting Ren; Xiling Shou; Jiayu Diao; Mengya Dong

Return

Pathogenesis and therapeutic targets of inflammatory cardiomyopathy based on bioinformatics analysis

VernacularTitle:基于生物信息学分析的炎症性心肌病发病机制及治疗靶点
Author: Hongjun YOU ¹ ; Qianqian ZHAO ² ; Shuting REN ³ ; Xiling SHOU ¹ ; Jiayu DIAO ¹ ; Mengya DONG ¹
Author Information

1. Department of Cardiovascular Medicine, Shaanxi Provincial People’s Hospital, Xi’an 710068
2. Department of Clinical Immunology, The First Affiliated Hospital of Air Force Military Medical University, Xi’an 710032
3. School of Basic Medical Sciences, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
Publication Type:Journal Article
Keywords: inflammatory cardiomyopathy; Gene Expression Omnibus （GEO） Database; differentially expressed genes （DEGs）; bioinformatics; hub gene; enrichment analysis
From: Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(6):829-836
CountryChina
Language:Chinese
Abstract: 【Objective】 To make bioinformatics analysis of inflammatory cardiomyopathy so as to screen out hub genes related to etiology and therapeutic targets. 【Methods】 Differential expression analysis of inflammatory cardiomyopathy gene chip data from Gene Expression Omnibus （GEO） Database was carried out via GEO2R tool. Protein-protein interaction（PPI）network and hub genes identification were realized by String database and CytoHubba. GO and KEGG enrichment analysis for functional annotation and pathway analysis of hub genes were conducted by R language. Web-based enrichment analysis platform Enrichr and Drug Signatures database were applied to screen out candidate drugs targeting hub genes for inflammatory cardiomyopathy. 【Results】 The 149 DEGs were statistically significant， among which 44 were upregulated and 105 were downregulated. To identify hub genes， PPI network consisting of 37 nodes and 116 edges was constructed， and 16 hub genes were NDUFB7， POLR2L， NDUFS7， UQCR11， NDUFA13， NDUFA2， PHPT1， NDUFB10， UBA52， ATP5D， NDUFA3， COX6B1， POLR2J， COX4I2， AURKAIP1 and MRPL41. Hub genes were enriched to 113 different GO terms， and the most significant terms were mitochondrial ATP synthesis coupled electron transport， respiratory electron transport chain， oxidative phosphorylation， respiratory chain， mitochondrial inner membrane， NADH dehydrogenase activity and oxidoreductase activity. DEGs were enriched to 13 different signal pathways， including oxidative phosphorylation， non-alcoholic fatty liver disease， diabetic cardiomyopathy， and cardiac muscle contraction. We screened out candidate drugs targeting hub genes， namely， metformin hydrochloride， clindamycin， and hydralazine. 【Conclusion】 Hub genes screened out by decoding the expression profiles are convolved in the etiology and mechanism of inflammatory cardiomyopathy， which might serve as latent therapeutic targets and benefit patients with inflammatory cardiomyopathy.