Chinese Journal of Tissue Engineering Research ›› 2021, Vol. 25 ›› Issue (5): 785-790.doi: 10.3969/j.issn.2095-4344.3016

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An insight into biomarkers of osteoarthritis synovium based on bioinformatics

Song Shan, Hu Fangyuan, Qiao Jun, Wang Jia, Zhang Shengxiao, Li Xiaofeng   

  1. Department of Rheumatology and Immunology, Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
  • Received:2019-12-31 Revised:2020-01-08 Accepted:2020-03-18 Online:2021-02-18 Published:2020-12-01
  • Contact: Li Xiaofeng, Department of Rheumatology and Immunology, Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
  • About author:Song Shan, Department of Rheumatology and Immunology, Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China

Abstract: BACKGROUND: Over 90% of patients with osteoarthritis suffer from synovial lesions, and the occurrence of synovitis may also promote cartilage degeneration. To explore the potential mechanisms of synovial lesions is beneficial to find precise treatment targets and achieve good long-term prognosis.
OBJECTIVE: To identify candidate hub genes in the synovial tissues during the development of osteoarthritis by bioinformatics analysis, and to further provide new insights for osteoarthritis study.
METHODS: The osteoarthritis synovial-associated chip data sets GSE82107, GSE12021, GSE55457, and GSE55235 were downloaded from the public database GEO, including 40 cases of osteoarthritic synovial tissue and 36 cases of normal synovial tissue. R software was used to screen differentially expressed genes  using Gene ontology function enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and hub genes are selected by STRING online analysis tool and Cytoscape software.
RESULTS AND CONCLUSION: Total 447 differentially expressed genes were selected between osteoarthritis and healthy control, including 201 up-regulated and 246 down-regulated genes. These differentially expressed genes were mainly enriched in inflammatory response, regulations of extracellular matrix, collagen, blood vessel development, as well as MAPK signaling pathway, tumor necrosis factor signaling pathway, arachidonic acid metabolism. Eight hub genes were screened by analyzing the protein interactions, which included matrix metalloproteinase 9, interleukin 6, vascular endothelial growth factor A, JUN, prostaglandin peroxide enzyme 2, CXCL8, MYC, epidermal growth factor receptor. The hub genes selected by bioinformatics analysis such as vascular endothelial growth factor A, matrix metalloproteinase 9, JUN, and prostaglandin peroxidase 2 may be biomarkers for the diagnosis of osteoarthritis and potential targets for treatment.

Key words: bone, osteoarthritis, synovium, diagnosis, marker, gene, inflammation, bioinformatics

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