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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
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蛋白质风险评分可以准确预测慢性病患者的心血管事件
Yang-Gyun Kim1,2, Yonghyun Nam1, Thomas M Westbrook1
1Division of Informatics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
medRxiv : the preprint server for health sciences
|August 8, 2025
概括
一个新的蛋白质风险评分 (ProRS) 有效地预测慢性病 (CKD) 患者的心血管事件 (CVEs). 这种血蛋白质组学方法可以识别高风险个体进行早期干预,减少心血管死亡率.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 心血管医学 心血管医学
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 心血管疾病 (CVD) 是慢性病 (CKD) 患者的主要死亡原因.
- 目前缺乏可靠的生物标志物来预测CKD中的心血管事件 (CVEs).
研究的目的:
- 开发和验证一种蛋白质风险评分 (ProRS),用于预测患有CKD的人的CVEs.
- 与现有的临床和多基因风险评分相比,评估ProRS的性能.
主要方法:
- 来自英国生物银行制药蛋白质项目 (UKB-PPP) 的1799名CKD患者的2920个血蛋白质的分析.
- 在培训集上使用弹性网模型开发ProRS,并在评估集上进行验证.
- 与临床风险模型和多基因风险评分对比ProRS预测准确度的比较.
主要成果:
- 建立了一个34蛋白质的ProRS,显示出比临床风险模型 (AUC 0.60-0.69) 和多基因风险得分 (AUC 0.58-0.63) 更好的预测性能 (AUC 0.67-0.74).
- ProRS确定了高风险个体,其10年CVE发病率为44.4%,而临床模型为29.6%,并准确地排除了低风险个体 (0%发病率).
- 门德尔的随机化确定了25种由CKD引起的蛋白质,其中10种也与心血管疾病有关.
结论:
- 血蛋白质组学为在CKD患者中开发CVE的预测生物标志物提供了一个有前途的途径.
- 通过ProRS,可以及早识别高风险个体,并促进及时采取预防策略.
- 这种方法有可能减少CKD患者心血管死亡率.
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