International Journal of General Medicine (Dec 2021)

Identification of CIRBP and TRPV4 as Immune-Related Diagnostic Biomarkers in Osteoarthritis

  • Tang C,
  • Liu Q,
  • Zhang Y,
  • Liu G,
  • Shen G

Journal volume & issue
Vol. Volume 14
pp. 10235 – 10245

Abstract

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Chengyang Tang,1,* Qiang Liu,2,* Yaxuan Zhang,1 Guihu Liu,1 Guangsi Shen1 1Department of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, People’s Republic of China; 2Institution of Sports Medicine, Peking University Third Hospital, Beijing Key Laboratory of Sports Injuries, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guangsi ShenDepartment of Orthopaedics, The Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, 215004, People’s Republic of ChinaTel +86-18962113353Email [email protected]: Osteoarthritis (OA) is the most common chronic joint disorder in elderly individuals. This study aimed to identify immune-related diagnostic gene signatures for OA.Methods: First, we performed single-sample gene set enrichment analysis (ssGSEA) to evaluate the infiltration of immune cells in OA expression data from the Gene Expression Omnibus (GEO) database. Then, weighted gene coexpression network analysis (WGCNA) was performed to identify hub modules and genes related to immune cell types with significant infiltration. Finally, we screened diagnostic markers from the differentially expressed genes (DEGs) in both the OA group and the hub module using least absolute shrinkage and selection operator (LASSO) logistic regression.Results: Immune filtration analysis showed that immature B cells, mast cells, natural killer T cells, myeloid-derived suppressor cells (MDSCs), and type 2 T helper cells were dysregulated in OA samples. In WGCNA, a total of 120 genes were selected as hub genes associated with mast cell infiltration.The enrichment analysis showed that spliceosome, positive regulation of cell migration, and response to mechanical stimulus were mainly involved. The LASSO regression model for the GSE117999 dataset revealed 15 DEGs for predicting OA. Finally, two genes were obtained by intersection for further investigation.Conclusion: Cold-inducible RNA-binding protein (CIRBP) and transient receptor potential vanilloid 4 (TRPV4) were identified as diagnostic biomarkers for OA, and both were positively correlated with mast cell infiltration.Keywords: osteoarthritis, bioinformatics analysis, immune infiltration, WGCNA

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