冠状动脉疾病患者中死亡率的蛋白质学预测因素
Chang Liu1, Qin Hui1,2, Arshed A Quyyumi3
1Department of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Road NE, Atlanta, GA 30322 USA.
American journal of preventive cardiology
|December 16, 2025
概括
这项研究确定了蛋白质标记物,用于预测冠状动脉疾病 (CAD) 患者的死亡率. 从这些标记物中获得的新型蛋白质组学得分,在两个独立的队列中显著提高了预后准确性.
科学领域:
- 心血管医学 心血管医学
- 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:
- 冠状动脉疾病 (CAD) 是全球主要的健康挑战,需要改进的预后工具.
- 蛋白质组学为推动CAD进展和死亡率的分子机制提供了洞察力.
- 识别可靠的蛋白质生物标志物对于改善CAD患者的治疗结果至关重要.
研究的目的:
- 为了研究患有CAD的个体的蛋白质组形状.
- 确定与CAD患者全因死亡相关的特定蛋白质生物标志物.
- 开发和验证用于CAD预后的预测性蛋白质组学得分.
主要方法:
- 分析了来自英国生物库 (UKB) 的2768名CAD参与者和精神压力缺血预后研究 (MIPS) 的91名CAD参与者的蛋白质组数据.
- 应用Cox比例危险模型和LASSO回归来识别死亡率预测蛋白质.
- 基于LASSO选择的蛋白质和通路丰富分析的蛋白质组学评分的开发.
主要成果:
- 在1696个测试的蛋白质中,341个与UKB队列的全因死亡率有关.
- 拉索选择了17种蛋白质,GDF15和ANGPT2在MIPS队列中得到了验证.
- 蛋白质组学分数中一个标准偏差的增加与UKB (HR 2.37) 和MIPS (HR 6.93) 队列的死亡率增加密切相关.
结论:
- 该研究确定了用于预测CAD死亡率的新型蛋白质生物标志物.
- 一个经过验证的蛋白质组学得分表明了在CAD管理中提高预后精度的潜力.
- 这些发现有助于通过蛋白质基因分析更深入地了解CAD预后.
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