与生活方式,疾病和死亡率相关的器官特定蛋白质衰老模式
Qi Wang1, Jingting Huang1, Qida He2
1Department of Data Science, College of Computing, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Aging cell
|October 8, 2025
概括
器官衰老有所不同,影响疾病风险和寿命. 这项研究揭示了生活方式因素改变了器官衰老,加速衰老与更高的疾病发病率和死亡风险有关.
科学领域:
- 生物遗传学 生物遗传学
- 蛋白质组学是指蛋白质组学.
- 系统生物学 系统生物学
背景情况:
- 衰老在各个器官中是异质的,影响疾病风险和死亡率.
- 生物年龄与时间年龄相比,是健康和寿命的优越预测因素.
- 血蛋白质组学使器官特定的衰老时钟发展成为可能,揭示了不同的衰老轨迹.
研究的目的:
- 开发和应用11个器官的基于蛋白质的衰老估计器,使用血蛋白质组数据.
- 研究器官衰老,生活方式因素,环境影响,疾病和全因死亡率之间的关联.
- 为疾病预防和寿命延长策略确定器官衰老的可修改驱动因素.
主要方法:
- 在11个器官中使用了基于蛋白质的衰老估计器的弹性净规范化.
- 对86种生活方式/环境因素进行了全面的关联分析.
- 对657种疾病和所有原因的死亡率进行了全现象关联研究 (PheWAS).
主要成果:
- 器官衰老受到生活方式因素和基线健康状况的显著影响,这表明其可改变的性质.
- 器官加速衰老与疾病发病率增加和全因死亡风险增加相关.
- 早期加速衰老与不良健康结果有着特别强烈的关联.
结论:
- 基于蛋白质的器官衰老时钟为不同的衰老轨迹及其临床相关性提供了洞察力.
- 生活方式干预可能会改变器官衰老,影响疾病风险和寿命.
- 这项研究建立了一个大规模的生活方式地图和PheWAS,以获得对衰老的可操作见解.
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