Developing a diagnostic model for necroptosis in osteoporosis using bioinformatics and machine learning

This study aims to explore the role of necroptosis in osteoporosis and identify potential diagnostic biomarkers. By analyzing the GSE56815 and GSE7429 datasets, we identified 107 differentially expressed genes associated with necroptosis. Enrichment analysis revealed that these genes were significantly enriched in necroptosis, the NOD-like receptor signaling pathway, and the IL-17 signaling pathway. Furthermore, through protein-protein interaction network analysis, multiple algorithms (MCC and MCODE) screening, and LASSO regression modeling, we ultimately established a diagnostic model consisting of 13 key genes. In vitro cell experiments suggest that CASP3 may serve as a potential target for Minocycline in the treatment of osteoporosis.

本研究旨在探讨细胞坏死性凋亡（necroptosis）在骨质疏松症中的作用，并筛选潜在的诊断生物标志物。通过分析GSE56815与GSE7429数据集，本研究共鉴定出107个与坏死性凋亡相关的差异表达基因。富集分析结果显示，这些基因显著富集于坏死性凋亡、NOD样受体信号通路以及IL-17信号通路。进一步通过蛋白质相互作用网络分析、结合MCC与MCODE等多种算法筛选，并经LASSO回归建模，本研究最终构建了包含13个关键基因的诊断模型。体外细胞实验表明，CASP3有望作为米诺环素治疗骨质疏松症的潜在靶点。