肌肉减少症（一种以肌肉质量和力量进行性丧失为特征的老年综合征）和骨关节炎（一种常见的退行性关节疾病）在老年人中都很常见。然而，这两种疾病之间的关系和分子机制尚未完全阐明。在这项研究中，我们筛选了基因表达综合数据库中的微阵列数据，以确定肌肉减少症和骨关节炎之间的关联。我们采用多种统计方法和生物信息学工具来分析共享的DEG（差异表达基因）。此外，我们通过功能富集分析、蛋白质-蛋白质相互作用分析、转录因子-基因相互作用网络分析和TF-miRNA共调节网络分析，鉴定了8个枢纽基因。我们还发现了这两种疾病之间潜在的共享通路，例如癌症中的转录失调、FOXO 信号通路和子宫内膜癌。此外，根据药物特征数据库表明，基于常见的 DEG，我们发现旋花花苷可能是治疗肌肉减少症和骨关节炎的最佳药物。还对肌肉减少症和骨关节炎数据集进行了免疫浸润分析。最后，绘制受试者工作特征（ROC）曲线以验证我们结果的可靠性。我们的研究结果为未来研究肌肉减少症和骨关节炎的潜在常见发病机制和分子机制提供了理论基础。版权所有 © 2024 Yang、Zhong、Du、Wang、Jiang、Li 和 Liu。

Sarcopenia, a geriatric syndrome characterized by progressive loss of muscle mass and strength, and osteoarthritis, a common degenerative joint disease, are both prevalent in elderly individuals. However, the relationship and molecular mechanisms underlying these two diseases have not been fully elucidated. In this study, we screened microarray data from the Gene Expression Omnibus to identify associations between sarcopenia and osteoarthritis. We employed multiple statistical methods and bioinformatics tools to analyze the shared DEGs (differentially expressed genes). Additionally, we identified 8 hub genes through functional enrichment analysis, protein-protein interaction analysis, transcription factor-gene interaction network analysis, and TF-miRNA coregulatory network analysis. We also discovered potential shared pathways between the two diseases, such as transcriptional misregulation in cancer, the FOXO signalling pathway, and endometrial cancer. Furthermore, based on common DEGs, we found that strophanthidin may be an optimal drug for treating sarcopenia and osteoarthritis, as indicated by the Drug Signatures database. Immune infiltration analysis was also performed on the sarcopenia and osteoarthritis datasets. Finally, receiver operating characteristic (ROC) curves were plotted to verify the reliability of our results. Our findings provide a theoretical foundation for future research on the potential common pathogenesis and molecular mechanisms of sarcopenia and osteoarthritis.Copyright © 2024 Yang, Zhong, Du, Wang, Jiang, Li and Liu.