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Identification of potential diagnostic gene biomarkers in patients with osteoarthritis

Authors
  • Wang, Xinling1
  • Yu, Yang1
  • Huang, Yong1
  • Zhu, Mingshuang1
  • Chen, Rigao1
  • Liao, Zhanghui1
  • Yang, Shipeng1
  • 1 Hospital of Chengdu University of Traditional Chinese Medicine, No. 39, Shierqiao road, Jinniu District, Chengdu City, Sichuan Province, 610075, China , Chengdu City (China)
Type
Published Article
Journal
Scientific Reports
Publisher
Springer Nature
Publication Date
Aug 12, 2020
Volume
10
Issue
1
Identifiers
DOI: 10.1038/s41598-020-70596-9
Source
Springer Nature
License
Green

Abstract

The current study was aimed to identify diagnostic gene signature for osteoarthritis (OA). The differentially expressed genes (DEGs) in synovial membrane samples and blood samples were respectively identified from the GEO dataset. The intersection DEGs between synovial membrane and blood were further screened out, followed by the functional annotation of these common DEGs. The optimal intersection gene biomarkers for OA diagnostics were determined. The GSE51588 dataset of articular cartilage was used for expression validation and further diagnostic analysis validation of identified gene biomarkers for OA diagnostics. There were 379 intersection DEGs were obtained between the synovial membrane and blood samples of OA. 22 DEGs had a diagnostic value for OA. After further screening, a total of 9 DEGs including TLR7, RTP4, CRIP1, ZNF688, TOP1, EIF1AY, RAB2A, ZNF281 and UIMC1 were identified for OA diagnostic. The identified DEGs could be considered as potential diagnostic biomarkers for OA.

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