CardioMetAge估计了心脏代谢衰老,并预测了疾病的结果
Yucan Li1,2, Xinming Xu3, Yi Zheng1
1State Key Laboratory of Genetic Engineering, ZhangjiangFudan International Innovation Center, Human Phenome Institute, Fudan University, Shanghai, 201203, China.
BMC medicine
|January 31, 2026
概括
一个新的衰老时钟CardioMetAge比现有的模型更好地预测心脏代谢疾病 (CMD) 和死亡率. 它还确定了生物驱动因素和干预效应,如热量限制,对衰老.
科学领域:
- 生物遗传学 生物遗传学
- 心血管医学 心血管医学
- 代谢健康 代谢健康
背景情况:
- 现有的老化时钟往往错过了对心脏代谢疾病 (CMD) 关键的改变.
- 需要专门设计的老化时钟来预测CMD相关的结果.
研究的目的:
- 开发和验证 CardioMetAge 模型,这是一个用于预测CMD结果的衰老时钟.
- 评估CardioMetAge与CMD死亡率,发病率和疾病进展的关联.
- 探索影响心脏代谢衰老的生物决定因素和可修改因素.
主要方法:
- 开发了使用时间表年龄和12个临床生物标志物的 CardioMetAge.
- 在NHANES-III,连续NHANES和英国生物库数据集中训练并验证了模型.
- 检查了与CMD死亡率,发病率,疾病过渡和蛋白质基因路径的关联.
主要成果:
- CardioMetAge偏差 (CardioMetAgeDev) 与CMD死亡率和发病率的关联比PhenoAge更强.
- CardioMetAgeDev更有效地预测了10年的CMD发病率和疾病进展.
- 蛋白质组分析将CardioMetAgeDev与炎症和代谢障碍联系起来;生活方式和社会经济地位通过CardioMetAgeDev.部分调解了CMD风险.
结论:
- CardioMetAge是一个用户友好的衰老时钟,在预测CMD结果方面表现优于现有的模型.
- 它提供了对心脏代谢衰老机制和热量限制等干预措施的影响的见解.
- CardioMetAge具有临床监测和评估干预有效性的潜力.
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