使用血蛋白质组学预测高伤心肌病中心力衰竭恶化的预测
Heidi S Lumish1, Lusha W Liang1, Kohei Hasegawa2
1Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Heart (British Cardiac Society)
|July 14, 2023
概括
一个新的等离子蛋白质组学模型准确地预测了缩性心肌病 (HCM) 患者心力衰竭 (HF) 的恶化. 这项研究还确定了失调的Ras-MAPK信号通路作为推动HCM中HF进展的潜在机制.
科学领域:
- 心血管蛋白质组学
- 发现了心力衰竭的生物标志物
背景情况:
- 心力衰竭 (HF) 是超性心肌病 (HCM) 的主要并发症,显著影响患者的生活方式.
- 目前的临床措施在预测HCM患者的HF恶化方面存在局限性.
- 在HCM中HF发展的潜在机制仍然不清楚.
研究的目的:
- 开发一种基于血蛋白学的模型,用于预测HCM中HF恶化.
- 确定在HCM患者中失调的特定信号通路,这些患者发展出恶化的HF.
主要方法:
- 这是一项多中心前性队列研究,涉及389名HCM患者.
- 在注册时对4986种蛋白质进行等离子体蛋白质组学分析.
- 开发和外部验证一个随机森林蛋白质组学模型来预测HF恶化.
- 对失调蛋白质的途径分析使用<0.001.1的错误发现率 (FDR) 值.
主要成果:
- 一个11种蛋白质的模型显示了高预测准确度的HF恶化 (AUC 0.87在测试组).
- 途径分析发现,Ras-MAPK途径和相关途径在患有恶化高血压的患者中显著失调 (FDR < 0.00001).
结论:
- 血蛋白质组学分析提供了一个非常准确的方法来预测HCM中HF恶化的情况.
- 拉斯-MAPK信号通路被认为是HCM中HF进展的潜在机制.
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