Identification of key genes and pathways for autophagy in osteoarthritis based on bioinformatics methods
YUAN Changshen1 RONG Weiming2 LI Zhe2 GUAN Yanbing2 MEI Qijie1 DUAN Kan1
1.The Third Department of Orthopedics, the First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi Zhuang Autonomous Region, Nanning 530023, China;
2.Graduate School, Guangxi University of Chinese Medicine, Guangxi Zhuang Autonomous Region, Nanning 530000, China
Abstract：Objective To explore the potential role of autophagy related genes in osteoarthritis (OA) by bioinformatics methods. Methods Using the GEO DataSets retrieval window of the GEO database with the keyword “Osteoarthritis”, the data disclosure date was limited to January 1st, 2010 to January 1st, 2020. The gene microarray dataset (GSE55457) was screened, and the differentially expressed genes (DEGs) were obtained from GSE55457 after correction. Then, the autophagy related genes obtained from GeneCards were used to intersection with DEGs, and the intersection genes were performed by GO and KEGG enrichment analysis and the proteinprotein interaction network was mapped. Finally, the key modules were obtained and the key genes of Hub were screened by KEGG enrichment analysis. Results A total of 203 DEGs and 5786 autophagy genes were obtained, and 65 genes were obtained from the intersection of the two, which were enriched in 279 GO entries and 44 KEGG entries. The genes of important modules were mainly involved in MAPK, JAK-STAT, and PI3K-Akt signaling pathways, and the key genes were VEGFA, JUN, CTNNB1, MYC, NR4A1, MAP2K7, and DUSP1. Conclusion The genes VEGFA, JUN, and CTNNB1 regulate the autophagy response through the main pathways of MAPK, JAK-STAT, and PI3K-Akt, and affect the occurrence and development of OA.
袁长深1 容伟明2 李哲2 官岩兵2 梅其杰1 段戡1. 基于生物信息学方法鉴别骨关节炎自噬的关键基因和途径[J]. 中国医药导报, 2021, 18(25): 9-13.
YUAN Changshen1 RONG Weiming2 LI Zhe2 GUAN Yanbing2 MEI Qijie1 DUAN Kan1. Identification of key genes and pathways for autophagy in osteoarthritis based on bioinformatics methods. 中国医药导报, 2021, 18(25): 9-13.
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