COL3A1, COL6A3, and SERPINH1 Are Related to Glucocorticoid-Induced Osteoporosis Occurrence According to Integrated Bioinformatics Analysis
Liuxun Li, Meiling Yang, Anmin Jin
Department of Spine Surgery, Zhujiang Hospital of Southern Medical University, Southern Medical University, Guangzhou, Guangdong, China (mainland)
Med Sci Monit 2020; 26:e925474
Available online: 2020-08-17
Glucocorticoid-induced osteoporosis (GIOP) represents the most frequently seen type of secondary osteoporosis, a systemic skeleton disorder. Numerous factors are associated with GIOP occurrence, but there are no specific diagnostic and therapeutic biomarkers for GIOP so far.
MATERIAL AND METHODS: In this work, gene modules related to GIOP were screened through weighted gene coexpression network analysis. Moreover, protein-protein interaction (PPI) networks and gene set enrichment analysis (GSEA) were carried out for hub genes. In addition, microarray GSE30159 dataset was used as a training set to analyze gene expression within bone biopsy samples from patients with endogenous Cushing’s syndrome with GIOP and from normal controls. GSE129228 was used as the test set for investigating the hub gene involvement within GIOP.
RESULTS: According to our results, the turquoise module showed clinical significance, and 10 genes (COL3A1, POSTN, COL6A3, COL14A1, SERPINH1, ASPN, OGN, THY1, NID2, and TNMD) were discovered to be the “real” hub genes within coexpression as well as PPI networks. GSEA showed that the interaction of extracellular matrix receptors together with the focal adhesion pathway had significant enrichment within samples with high COL3A1 and COL6A3 expression. After the results from both test and training sets were overlapped, SERPINH1 was also significantly altered between GIOP and normal control samples.
CONCLUSIONS: COL3A1, COL6A3, and SERPINH1 were identified to be the candidate biomarkers for GIOP.
Keywords: Biological Markers, Gene Expression Profiling, Glucocorticoids, Osteoporosis