多器官代谢生物年龄涉及心脏代谢条件和死亡风险
, Filippos Anagnostakis1, Sarah Ko1
1Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA.
Nature communications
|May 26, 2025
概括
本研究介绍了五个器官特异性代谢基生物年龄差距 (MetBAGs),以利用血代谢物预测衰老和疾病. 这些MetBAG提供了一种新的多学科方法,以了解跨多个生物尺度的人类衰老.
科学领域:
- 基因组学就是基因组学.
- 代谢学 代谢学 代谢学
- 衰老研究研究 衰老研究
- 生物标志物发现发现
背景情况:
- 生物衰老时钟预测疾病和死亡率.
- 现有的时钟通常集中在单个器官系统或omics层上.
- 血代谢学提供了对生物状态的系统视图.
研究的目的:
- 使用血代谢学 (MetBAGs) 开发特定器官的生物年龄差距.
- 调查MetBAGs的遗传结构和疾病关联.
- 整合多主体和多器官数据,以改善衰老预测.
主要方法:
- 利用了来自274,247名参与者的英国生物库数据.
- 使用107种血代谢物开发了五种器官特异性MetBAGs.
- 进行了全基因组关联研究 (GWAS) 和遗传分析 (SBayesS).
- 进行了基因相关性和门德尔随机化 (MR) 分析.
主要成果:
- 在年龄预测中达到~6年的平均绝对误差 (r=0.250.42).
- 确定了405个MetBAG-locus对,并估计了基于SNP的遗传性 (0.090.18).
- 通过MR发现了MetBAGs和心脏代谢条件之间的潜在因果关系.
- 通过整合多体和多器官特征,证明了改善疾病和死亡率的预测.
结论:
- MetBAGs将生物衰老时钟扩展到血代谢学.
- 这些新型生物标志物可以用于在多个生物尺度上研究衰老和疾病.
- 公开可用的数据有助于进一步研究衰老和疾病预测.
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