生物标志物和冠状动脉微血管功能障碍在患有心痛和没有阻塞性冠状动脉疾病的妇女中
Eva Prescott1, Kira Bang Bove1, Daria Frestad Bechsgaard1
1Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark.
JACC. Advances
|June 28, 2024
概括
蛋白质生物标志物如宁和BNP可以帮助识别冠状动脉微血管功能障碍 (CMD),这是没有动脉阻塞的胸痛的原因. 添加这些生物标志物提高了诊断模型的准确性,尽管预测仍然适度.
科学领域:
- 心血管医学 心血管医学
- 生物标志物发现发现
- 蛋白质组学是指蛋白质组学.
背景情况:
- 冠状动脉微血管功能障碍 (CMD) 是非阻塞性冠状动脉患者心肌缺血的一个重要原因.
- 诊断CMD往往依赖于侵入性或复杂的成像技术.
研究的目的:
- 为了识别蛋白质生物标记符号,用于诊断CMD.
- 在临床队列中评估这些生物标志物的预测性能.
主要方法:
- 使用近距离延伸测定在1471名患有胸痛的女性中量化了184种心血管蛋白质.
- 使用冠状动脉流速储备 (CFVR) 通过横胸回声多普勒评估CMD.
- 采用相关性分析,主要组件分析和机器学习来识别生物标志物和预测模型开发.
主要成果:
- 61种与CFVR相关的蛋白质,其中素 (REN),GDF-15,BNP,NT-proBNP和ADM显示最强的关联.
- 结合生物标志物的机器学习模型实现了0.66的ROC-AUC,这比单独的临床数据 (ROC-AUC0.61) 更好.
- 关键的预测生物标志物包括REN,BNP,NT-proBNP,GDF-15和ADM.
结论:
- 冠状动脉疾病与炎症 (IL-6),血压调节 (REN,ADM) 和心脏重塑 (BNP/NT-proBNP) 途径有关.
- 生物标志物的纳入增强了CMD预测模型,尽管整体预测能力仍然适度.
- 蛋白质生物标志物在临床实践中为改善CMD评估提供了潜力.
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