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器官特异性生物钟:个体化抗衰老医学的年龄分型。

Organ-specific biological clocks: Ageotyping for personalized anti-aging medicine.

机构信息

IRCCS MultiMedica, Milan, Italy.

Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.

出版信息

Ageing Res Rev. 2024 Apr;96:102253. doi: 10.1016/j.arr.2024.102253. Epub 2024 Mar 4.

Abstract

Aging is a complex multidimensional, progressive remodeling process affecting multiple organ systems. While many studies have focused on studying aging across multiple organs, assessment of the contribution of individual organs to overall aging processes is a cutting-edge issue. An organ's biological age might influence the aging of other organs, revealing a multiorgan aging network. Recent data demonstrated a similar yet asynchronous inter-organs and inter-individuals progression of aging, thereby providing a foundation to track sources of declining health in old age. The integration of multiple omics with common clinical parameters through artificial intelligence has allowed the building of organ-specific aging clocks, which can predict the development of specific age-related diseases at high resolution. The peculiar individual aging-trajectory, referred to as ageotype, might provide a novel tool for a personalized anti-aging, preventive medicine. Here, we review data relative to biological aging clocks and omics-based data, suggesting different organ-specific aging rates. Additional research on longitudinal data, including young subjects and analyzing sex-related differences, should be encouraged to apply ageotyping analysis for preventive purposes in clinical practice.

摘要

衰老是一个复杂的多维、渐进的重塑过程,影响多个器官系统。虽然许多研究都集中在研究多个器官的衰老,但评估单个器官对整体衰老过程的贡献是一个前沿问题。一个器官的生物年龄可能会影响其他器官的衰老,揭示出一个多器官衰老网络。最近的数据表明,器官之间和个体之间存在相似但不同步的衰老进展,从而为跟踪老年健康状况下降的根源提供了基础。通过人工智能将多种组学与常见临床参数相结合,已经构建了器官特异性衰老时钟,可以高分辨率地预测特定与年龄相关的疾病的发展。被称为“年龄型”的个体独特的衰老轨迹,可能为个性化抗衰老、预防医学提供一种新工具。在这里,我们回顾了与生物衰老时钟和基于组学的数据相关的数据,这些数据表明了不同器官的特定衰老速度。应该鼓励对纵向数据(包括年轻受试者和分析性别差异)进行更多的研究,以便将年龄型分析应用于临床实践中的预防目的。

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