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在冠状动脉疾病中识别枢纽基因和免疫透:风险预测模型

Wenchao Xie¹, Wang Liao¹, Hongming Lin²

¹Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People's Republic of China.

Journal of inflammation research

|November 18, 2024

概括

这项研究开发了一种新的模型,通过分析基因表达和免疫细胞透来预测冠状动脉疾病 (CAD) 风险. 该模型准确地识别高风险患者,为早期发现和管理CAD提供了有价值的工具.

科学领域:

基因组学就是基因组学.
免疫学免疫学免疫学
心血管研究研究心血管研究

背景情况:

冠状动脉疾病 (CAD) 是一个重大的全球健康挑战.
准确的风险预测模型对于有效的CAD管理和预防至关重要.
整合分子数据,如基因表达和免疫透,可以改善CAD风险评估.

研究的目的:

开发和验证冠状动脉疾病 (CAD) 的新型预测模型.
整合免疫透模式和基因表达特征,以提高CAD风险预测.
确定关键的分子参与者和涉及CAD病变发生的途径.

主要方法:

在GSE113079数据集上进行了差异基因表达分析,以确定差异表达基因 (DEG) 和枢纽基因.
进行了途径丰富分析,以了解已识别的基因的生物功能.
建立了差异表达微RNA (DEmiRNA) 和DEGs的调节网络.
拉索算法被用来构建一个结合风险和免疫评分的CAD风险预测模型.
模型性能使用接收器操作特征-曲线下的区域 (ROC-AUC) 分析和聚合酶链反应 (PCR) 进行了验证.

主要成果:

确定了613个DEG和12个枢纽基因,主要与免疫和炎症反应有关.
六个枢纽基因 (PTGER1,PIK3R1,ADRA2A,CORT,CXCL12,S1PR5) 显示出高的预测能力 (AUC>0.90).
使用拉索回归开发了一种新的CAD风险预测模型,达到0.988.98的高AUC.
PCR验证证实了CAD中关键枢纽基因的表达模式.

结论:

该研究成功开发了一种强大的CAD风险预测模型,整合了基因表达和免疫透.
已识别的枢纽基因及其分子机制为CAD病原体提供了洞察力.
开发的模型是预测CAD风险的宝贵工具,可能有助于早期诊断和个性化治疗策略.

关键词:

在DEmiRNA-DEG监管网络中.冠状动脉疾病是一种冠状动脉疾病.免疫透免疫透是什么?免疫评分免疫评分免疫评分这个名字是名ogramogram.

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