Multiorgan biological age shows that no organ system is an island

IF 17 Q1 CELL BIOLOGY Nature aging Pub Date : 2024-08-02 DOI:10.1038/s43587-024-00690-4
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Abstract

In our study, we linked machine-learning-derived biological age gaps (BAGs) to common genetic variants in nine human organ systems, which revealed how these BAGs are causally associated with organ health and chronic diseases such as Alzheimer’s disease and diabetes. The findings provide insights into therapeutic and lifestyle interventions that might enhance organ health.

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多器官生物年龄表明,任何器官系统都不是一座孤岛。
在我们的研究中,我们将机器学习得出的生物年龄差距(BAG)与九个人体器官系统中的常见基因变异联系起来,揭示了这些生物年龄差距与器官健康以及阿尔茨海默病和糖尿病等慢性疾病之间的因果关系。这些发现为可能增强器官健康的治疗和生活方式干预提供了启示。
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14.70
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