在冠状动脉疾病患者中通过综合分析识别诊断相关的生物标志物
Zimin Wu1, Sisi Mo2, Zuyuan Huang1
1Department of Cardiovascular Surgery Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Journal of inflammation research
|December 10, 2024
概括
六个内质网膜压力 (ERS) 基因显示出冠状动脉疾病 (CAD) 的诊断潜力. 这些ERS-DEG可以作为在CAD患者早期检测和预后的最小侵入性生物标志物.
科学领域:
- 心血管研究研究心血管研究
- 分子生物学分子生物学
- 生物标志物发现发现
背景情况:
- 外围生物标志物为监测冠状动脉疾病 (CAD) 进展提供了一种最少的侵入性方法.
- 目前的应用包括早期检测,诊断和预后评估,尽管该领域仍处于探索阶段.
- 细胞内膜网膜压力 (ERS) 基因正在研究其在CAD中的诊断价值和治疗潜力.
研究的目的:
- 在冠状动脉疾病 (CAD) 中确定内质网膜压力 (ERS) 基因的诊断价值.
- 在CAD的背景下探索ERS基因的治疗潜力.
- 确定用于CAD管理的新型外围生物标志物.
主要方法:
- 利用来自GEO数据库的RNA序列数据进行分析.
- 用于特征选择和模型构建的使用权重基因共表达网络分析 (WGCNA),LASSO,SVM-RFE,随机森林和XGBoost.
- 使用免疫光和分析与免疫细胞和基因的关联的验证结果.
主要成果:
- 鉴定了六个关键的差异表达ERS基因 (ERS-DEGs):UFL1,HSPA1A,ERLIN1,LRRK2,ERN1和SERINC3.3
- 在培训和验证数据集中开发了具有合格诊断能力的诊断模型 (AUC从0.776到0.803不等).
- 发现了外围免疫细胞,免疫检查点基因和与CAD中特定ERS基因相关的人类白细胞抗原 (HLA) 基因的特征分布,表明它们参与了免疫微环境.
结论:
- 使用六个关键的ERS-DEGs构建了CAD的高效诊断模型.
- 这些ERS-DEGs (UFL1,HSPA1A,ERLIN1,LRRK2,ERN1,SERINC3) 被建议作为CAD的潜在生物标志物.
- 这项研究探讨了调节网络以及这些基因对CAD免疫微环境的影响.
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