蛋白质老化时钟的发展,特征和复制:分析了2个基于人口的队列
Shuo Wang1, Zexi Rao2, Rui Cao2
1Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America.
PLoS medicine
|September 24, 2024
概括
蛋白质衰老时钟 (PAC) 可以估计生物年龄并预测死亡风险. 新的 de novo PACs 显示出与公布的时钟相似的死亡率预测,突出了它们对抗衰老研究的潜力.
科学领域:
- 生物标志物 生物标志物
- 衰老研究研究 衰老研究
- 蛋白质组学是指蛋白质组学.
背景情况:
- 使用蛋白质衰老钟 (PAC) 来估计生物年龄正在出现.
- 现有的PAC在研究规模,人口多样性和时间数据方面存在局限性.
- 这项研究在社区动脉样硬化风险研究 (ARIC) 中开发了新的PAC.
研究的目的:
- 使用纵向数据开发和验证新的蛋白质衰老时钟 (PAC).
- 为了比较新的PAC与现有已发表的PAC的表现.
- 评估PAC和衰老加速与死亡风险的关联.
主要方法:
- 在ARIC研究参与者 (中年和晚年) 的血蛋白质组数据上使用弹性净回归开发了de novoPAC.
- 在内部和外部验证的PAC (MESA研究).
- 评估了年龄加速及其随时间的变化,并使用Cox回归与所有原因,心血管疾病,癌症和LRD死亡率相关联.
主要成果:
- 在新的ARICPAC中,与时间年龄有很强的相关性,与已发表的PAC相比.
- 无论是ARIC还是已发表的PAC,都与增加的死亡风险 (所有原因,CVD,LRD) 有显著的关联.
- 年龄加速及其随时间的变化是死亡率的重要预测因素,ARIC和已发表的PAC之间表现相似.
结论:
- 蛋白质衰老时钟 (PACs),包括新开发的,是生物年龄的有希望的生物标志物.
- 环保药物与增加的死亡风险有显著的关联.
- PAC可以作为预测死亡率和评估老龄化干预措施的宝贵工具.
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