骨质疏松症
基因
微阵列
细胞外基质
微阵列分析技术
基因表达
生物信息学
医学
生物
内科学
癌症研究
遗传学
作者
Liuxun Li,Meiling Yang,Anmin Jin
出处
期刊:Medical Science Monitor
[International Scientific Information Inc.]
日期:2020-08-17
卷期号:26: e925474-e925474
被引量:5
摘要
BACKGROUND 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.
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