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Abstract：
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.
摘要：
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病，两者都普遍存在于老年人中。然而,这两种疾病的关系和分子机制尚未完全阐明。在这项研究中,我们从基因表达Omnibus中筛选了微阵列数据,以确定少肌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DEGs（差异表达基因）。此外,我们通过功能富集分析确定了8个hub基因，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协同调控网络分析。我们还发现了两种疾病之间潜在的共同途径，比如癌症中的转录失调，FOXO信号通路，和子宫内膜癌。此外，基于常见的DEG，我们发现视黄碱可能是治疗少肌症和骨关节炎的最佳药物，如药物签名数据库所示。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,绘制受试者工作特性(ROC)曲线以验证我们结果的可靠性。我们的发现为未来研究肌肉减少症和骨关节炎的潜在共同发病机制和分子机制提供了理论基础。
