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多种器官系统的异质性衰老与慢性疾病和死亡率的预测。

Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality.

机构信息

Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.

Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

出版信息

Nat Med. 2023 May;29(5):1221-1231. doi: 10.1038/s41591-023-02296-6. Epub 2023 Apr 6.

Abstract

Biological aging of human organ systems reflects the interplay of age, chronic disease, lifestyle and genetic risk. Using longitudinal brain imaging and physiological phenotypes from the UK Biobank, we establish normative models of biological age for three brain and seven body systems. Here we find that an organ's biological age selectively influences the aging of other organ systems, revealing a multiorgan aging network. We report organ age profiles for 16 chronic diseases, where advanced biological aging extends from the organ of primary disease to multiple systems. Advanced body age associates with several lifestyle and environmental factors, leukocyte telomere lengths and mortality risk, and predicts survival time (area under the curve of 0.77) and premature death (area under the curve of 0.86). Our work reveals the multisystem nature of human aging in health and chronic disease. It may enable early identification of individuals at increased risk of aging-related morbidity and inform new strategies to potentially limit organ-specific aging in such individuals.

摘要

人类器官系统的生物衰老反映了年龄、慢性疾病、生活方式和遗传风险的相互作用。我们利用英国生物库的纵向脑成像和生理表型,为三个大脑和七个身体系统建立了生物年龄的规范模型。在这里,我们发现一个器官的生物年龄会选择性地影响其他器官系统的衰老,揭示了一个多器官衰老网络。我们报告了 16 种慢性疾病的器官年龄特征,其中,高级生物衰老从主要疾病的器官扩展到多个系统。高级身体年龄与多种生活方式和环境因素、白细胞端粒长度和死亡率风险相关,并可预测生存时间(曲线下面积为 0.77)和过早死亡(曲线下面积为 0.86)。我们的工作揭示了健康和慢性疾病中人类衰老的多系统本质。它可能使我们能够早期识别出那些有更高风险患上与衰老相关的发病率的个体,并为这些个体提供潜在限制特定器官衰老的新策略。

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