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Abstract：
This study aimed to identify hub genes and elucidate the molecular mechanisms underlying low bone mineral density (BMD) in perimenopausal women. R software was used to normalize the dataset and screen the gene set associated with BMD in perimenopausal women from the Gene Expression Omnibus database. Cytoscape software was used to identify 7 critical genes. Gene enrichment analysis and protein interaction was employed to further analyze the core genes, and the CIBERSORT deconvolution algorithm was used to perform immune infiltration analysis of 22 immune genes in the samples. Furthermore, an analysis of the immune correlations of 7 crucial genes was conducted. Subsequently, a receiver operating characteristic curve was constructed to assess the diagnostic efficacy of these essential genes. A total of 171 differentially expressed genes were identified that were primarily implicated in the signaling pathways associated with apoptosis. Seven crucial genes (CAMP, MMP8, HMOX1, CTNNB1, ELANE, AKT1, and CEACAM8) were effectively filtered. The predominant functions of these genes were enriched in specific granules. The pivotal genes displayed robust associations with activated dendritic cells. The developed risk model showed a remarkable level of precision, as evidenced by an area under the curve of 0.8407 and C-index of 0.854. The present study successfully identified 7 crucial genes that are significantly associated with low BMD in perimenopausal women. Consequently, this research offers a solid theoretical foundation for clinical risk prediction, drug sensitivity analysis, and the development of targeted drugs specifically tailored for addressing low BMD in perimenopausal women.
摘要：
本研究旨在鉴定hub基因并阐明围绝经期女性低骨密度（BMD）的分子机制。使用R软件对数据集进行归一化，并从基因表达综合数据库中筛选与围绝经期妇女BMD相关的基因集。使用Cytoscape软件鉴定7个关键基因。基因富集分析和蛋白质相互作用被用来进一步分析核心基因，采用CIBERSORT反卷积算法对样本中22个免疫基因进行免疫浸润分析。此外，对7个关键基因的免疫相关性进行了分析。随后，构建受试者工作特征曲线以评估这些必需基因的诊断效能.鉴定了总共171个差异表达的基因，这些基因主要涉及与凋亡相关的信号传导途径。七个关键基因（CAMP，MMP8,HMOX1,CTNNB1,ELANE,AKT1和CEACAM8)被有效地过滤。这些基因的主要功能富集在特定的颗粒中。关键基因显示与活化的树突状细胞的强关联。开发的风险模型显示出显著的精度，曲线下面积为0.8407，C指数为0.854。本研究成功鉴定出7个与围绝经期妇女低BMD显著相关的关键基因。因此,本研究为临床风险预测提供了坚实的理论基础,药物敏感性分析,以及专门针对围绝经期女性低BMD的靶向药物的开发。
