基于蛋白质组的聚类在识别心力衰竭患者的不同结果方面优于临床聚类
Marion van Vugt1,2,3,4, Ruicong She5, Isabella Kardys6
1Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK. m.vugt@ucl.ac.uk.
Communications medicine
|November 20, 2025
概括
血蛋白质分析确定了三种不同的心力衰竭与减少喷射率 (HFrEF) 患者集群,疾病进展和结果各不相同,优于个性化医学的传统临床集群.
科学领域:
- 心脏病学 心脏病学
- 蛋白质组学是指蛋白质组学.
- 生物标志物发现发现
背景情况:
- 传统的心力衰竭 (HF) 聚类依赖于临床数据,可能缺少个性化治疗的关键病理生理洞察力.
- 减少喷射分数心力衰竭 (HFrEF) 需要基于潜在生物学来分层患者的新方法.
研究的目的:
- 在HFrEF患者中识别显著的血蛋白质配置文件.
- 为了确定基于蛋白质组学的聚类是否比单独的临床数据提供了优越的患者分层.
主要方法:
- 基于临床数据和血蛋白质组学 (SomaScan) 的数据,使用隐性类别分析对379名HFrEF患者进行了分组.
- 生存分析评估了集群与主要不良心血管事件之间的关联,HF住院,心血管死亡和全因死亡率.
- 这些发现在511名HFrEF患者的外部队列中得到了验证.
主要成果:
- 临床聚类未能确定明显的疾病进展模式.
- 基于蛋白质组的聚类揭示了三个具有显著不同疾病进展和结果的HFrEF患者群,并得到了外部验证.
- 与集群1相比,集群3 (快速进展) 显示主要心血管事件,高风险住院,心血管死亡和全因死亡率显著增加的风险.
- 跨集群确定了12种差异表达的蛋白质,包括GDF-15和CD2等可药物标.
结论:
- 基于蛋白质组的聚类提供了比单独的临床数据更准确的HFrEF患者分层.
- 这种方法可以识别出具有差异性预后的不同患者子组,从而实现更个性化的治疗策略.
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