一个从生理特征预测人类生物年龄的数学模型确定了影响衰老的环境和遗传因素
Sergiy Libert1, Alex Chekholko1, Cynthia Kenyon1
1Calico Life Sciences, South San Francisco, United States.
eLife
|June 11, 2025
概括
科学家们开发了一种模型,利用生理特征来预测生物年龄. 较年轻的生物年龄与较低的死亡风险相关,为老龄化和潜在的健康干预提供了见解.
科学领域:
- 老年学是一门学科.
- 生理测量测量生理测量
- 衰老的生物标志物
背景情况:
- 个体的衰老速度有很大的差异,这在生物科学中是一个关键的挑战.
- 时间学年龄不能完全捕捉一个人的生理状态或健康轨迹.
研究的目的:
- 使用生理特征开发生物年龄的预测模型.
- 研究生物年龄,死亡风险和遗传/环境因素之间的关系.
- 确定评估生物年龄的关键生理标志物.
主要方法:
- 利用英国生物银行数据集,包括广泛的生理测量.
- 开发了一个预测模型,在多个器官系统中权衡特征,以估计年龄.
- 进行了一项全基因组关联研究 (GWAS) 关于年龄加速 (∆Age).
主要成果:
- 该模型准确地预测了时间表年龄,多系统特征是最有信息的.
- 生物年龄和时间年龄 (∆Age) 之间的差异预测了随后的死亡风险.
- ∆年龄与死亡风险有显著的关联,与时间学年龄相当.
- GWAS确定了与∆Age相关的遗传因素 (例如突触生物学) 和环境因素 (例如电脑游戏使用).
结论:
- 一组简短的生理特征可以有效地评估生物年龄.
- 生物年龄是死亡率和健康结果的强有力的预测因素.
- 这种方法可以临床评估旨在减缓衰老和延长健康寿命的疗法.
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