ArticleMedical science monitor : international medical journal of experimental and clinical research2020
COL3A1, COL6A3, and SERPINH1 Are Related to Glucocorticoid-Induced Osteoporosis Occurrence According to Integrated Bioinformatics Analysis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 5 citations in OpenAlex.
- DNA Methylation, SERPING1 Expression, and Immune-related Traits in Osteoporosis: A Mendelian Randomization Study And SupportiveEndocrine, metabolic & immune disorders drug targets · 2026Article
- The potential key genes within focal adhesion that regulate mesenchymal stem cells osteogenesis or adipogenesis in microgravity related disuse osteoporosis: an integrated analysis.Frontiers in endocrinology · 2025Article
- ASPN Synergizes with HAPLN1 to Inhibit the Osteogenic Differentiation of Bone Marrow Mesenchymal Stromal Cells and Extracellular Matrix Mineralization of Osteoblasts.Orthopaedic surgery · 2023Article
- SpaceX: gene co-expression network estimation for spatial transcriptomics.Bioinformatics (Oxford, England) · 2022Article
- Single-cell analysis reveals heterogeneity of juvenile idiopathic arthritis fibroblast-like synoviocytes with implications for disease subtype.Arthritis research & therapy · 2022Article
- Association of Hydrogen Sulfide with Femoral Bone Mineral Density in Osteoporosis Patients: A Preliminary Study.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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