Bioinformatics analysis identification of and as key genes in postmenopausal osteoporosis.

Exp Ther Med

Department of Orthopedics, Subei People's Hospital of Jiangsu Province, Clinical Medical College of Yangzhou University, Hanjiang, Yangzhou 225001, P.R. China.

Published: November 2022

Postmenopausal osteoporosis (PMO) is an aging-associated disease that manifests as degradation of bone tissue microstructure leading to decreased bone mass and increased bone fragility. Differentiation of peripheral blood mononuclear cells into osteoclasts is an important process in the development of PMO and identification of key genes that drive differentiation is essential to reveal the mechanism of PMO. The present study combined bioinformatics analysis of a Gene Expression Omnibus dataset of PMO and drug (bisphosphonate) target prediction using the STITCH database to identify hub genes in patients with PMO. Next, the expression of candidate hub genes was assessed in osteoclasts differentiated from THP-1 cells and small interfering RNA assays were performed to assess the function of selected hub genes. The present study identified 10 hub genes including , disheveled segment polarity protein 1, cyclin D1, H2B clustered histone 17, , actinin α1 and . Among these, and were highly upregulated during osteoclast differentiation, and knockdown of AKT3 and RAC1 using small interfering RNA enhanced the inhibitory effect of bisphosphonates on osteoclast differentiation and apoptosis of monocytes as assessed by tartrate-resistant acid phosphatase staining and flow cytometry examining Annexin V-FITC/PI staining, respectively. In conclusion, and were key for development of PMO and inhibiting and may improve the therapeutic efficacy of bisphosphonates.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475336PMC
http://dx.doi.org/10.3892/etm.2022.11592DOI Listing

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