Integrative Analyses of Biomarkers and Pathways for Osteosarcopenia

Osteosarcopenia is a geriatric syndrome coexistence of osteoporosis and sarcopenia. However, the molecular mechanism underlying osteosarcopenia have not been fully elucidated. Differentially expressed genes (DEGs) for osteoporosis and sarcopenia were respectively identified by analyzing four expression datasets from the GEO. We extracted the gene expression datasets GSE56814 and GSE56815 for osteoporosis, GSE1428 and GSE8479 for sarcopenia. 133 co-expressed DEGs were included in osteoporosis and sarcopenia datasets. Furthermore, functional enrichment analyses and PPI network construction were performed to explore the potential biological function of the DEGs and identify hub genes. S100 protein binding (GO:0044548; p-value = 1.83E-06) and regulation of mRNA metabolic process (GO:1903311; p-value = 2.30E-05) were significantly enriched in gene ontology(GO) analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that salmonella infection (hsa05132; p-value = 1.05E-04) and AMPK signaling pathway (hsa04152; p-value = 2.18E-03) were significantly enriched. According to the results of PPI, we finally identified five most critical genes as the hub genes, including AKT1, ANXA2, VIM, S100A6 and S100A11. The integrated analysis will contribute to the understanding of comprehensive molecular changes in osteosarcopenia and the development of new target therapies.