蛋白质预测的肥胖现象和心血管事件:英国生物库蛋白质学数据的二次分析
Chang Liu1, Bojung Seo1, Qin Hui1,2
1Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.
Proteomes
|October 24, 2025
概括
蛋白质预测的肥胖得分,包括体脂百分比和腰比,显示与主要不良心血管事件 (MACE) 有很强的关联. 这些新型蛋白质评分可能会提高心血管风险预测,超出传统的人类测量标准.
科学领域:
- 心血管疾病研究研究
- 蛋白质组学是指蛋白质组学.
- 肥胖问题研究研究
背景情况:
- 蛋白质基因分析为了解肥胖和预测心血管风险提供了潜力.
- 这项研究调查了人体质量指数 (PPSBMI),人体脂肪百分比 (PPSBFP) 和腰比 (PPSWHR) 的蛋白质预测得分,以评估主要不良心血管事件 (MACE) 的风险.
研究的目的:
- 评估蛋白质预测肥胖得分与事件MACE之间的关联.
- 为了确定蛋白质得分是否与现有模型相比,改善心血管风险预测.
主要方法:
- 利用了英国生物库数据与蛋白质组概况.
- 通过LASSO算法获得PPSBMI,PPSBFP和PPSWHR.
- 采用竞争风险模型来评估蛋白质得分和MACE之间的关联.
主要成果:
- 蛋白质预测的肥胖现象与测量的对应物有很强的相关性 (R:BMI=0.78,BFP=0.85,WHR=0.63).
- 增加的PPSBFP和PPSWHR与更高的MACE风险有关 (HR分别为1.25和1.15).
- 采用蛋白质评分的模型显示,MACE的预测性能与PREVENT方程相似.
结论:
- 蛋白质预测的肥胖得分表明与MACEs有显著的独立关联.
- 这些得分可能会提供超越人类计量对心血管风险的生物学见解.
- 蛋白质评分可以增强现有的风险模型,以改善心血管风险分层.
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