Screening and bioinformatics analysis of senile osteoporosis genes based on GEO database

L.-L. Wu, J.-X. Zhou, Y.-M. Jia, H. Leng

Chifeng Municipal Hospital, Chifeng City, Inner Mongolia, China. cflh33388@163.com

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• Bioinformatics
• Genetics

OBJECTIVE: Despite improvements in research on osteoporosis in the elderly, the specific mechanism remains unknown. In order to develop better treatment regimens with better efficacy and fewer adverse reactions (ARs), it is vital to unravel the pathogenesis of osteoporosis in the elderly. The GEO chip was used to screen differential genes in senile osteoporosis and analyze their interaction mechanisms in order to obtain potential therapeutic pathways and targets.

MATERIALS AND METHODS: GSE35956 was downloaded from GEO database and used as the research object for KEGG pathway enrichment analysis, GO enrichment analysis and protein-protein interaction (PPI) network analysis, respectively, to explore the related mechanisms of the occurrence and development of osteoporosis in the elderly.

RESULTS: There were 156 differentially expressed genes in the elderly (72 years old) and middle-aged (42 years old) diagnosed with osteoporosis, of which 6 were up-regulated and 150 were down-regulated. An analysis of gene enrichment using GO (gene body) revealed that differentially expressed genes (DEG) were mainly distributed in extracellular matrix (ECM) and other cell structures. Its functions include ossification, parathyroid hormone metabolism, multicellular biological signaling pathway, vitamin catabolism, interleukisn-5 metabolism, transmembrane transporter activity, receptor signaling pathway, calcium metabolism and other molecular functions. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG), an online resource, signaling pathways associated with age-related osteoporosis (OP) are significantly enriched. The DEG enrichment pathways include Wnt, ECM-receptor interaction, cGMP-PKG, GAG degradation, and calcium signaling. A protein and protein interaction (PPI) network was constructed for 14 key genes, including CD44, GRIA1, KNG1 and IL7R.

CONCLUSIONS: The findings of this study indicate that CD44, GRIA1, KNG1, IL7R, and other differential genes affect the Wnt signaling pathway in the elderly, which can provide new targets for the follow-up basic research and treatment of osteoporosis in the elderly.

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