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LinAge2:借助表观遗传时钟提供可操作的见解并进行基准测试。

LinAge2: providing actionable insights and benchmarking with epigenetic clocks.

作者信息

Fong Sheng, Denisov Kirill A, Nefedova Anastasiia A, Kennedy Brian K, Gruber Jan

机构信息

Population Health Research Office, Ng Teng Fong General Hospital, Singapore, Singapore.

Department of Medicine (Geriatric Medicine), Ng Teng Fong General Hospital, Singapore, Singapore.

出版信息

NPJ Aging. 2025 Apr 23;11(1):29. doi: 10.1038/s41514-025-00221-4.

Abstract

Biological aging is marked by a decline in resilience at the cellular and systemic levels, driving an exponential increase in mortality risk. Here, we evaluate several clinical and epigenetic clocks for their ability to predict mortality, demonstrating that clocks trained on survival and functional aging outperform those trained on chronological age. We present an enhanced clinical clock that predicts mortality more accurately and provides actionable insights for guiding personalized interventions. These findings highlight the potential of mortality-predicting clocks to inform clinical decision-making and promote strategies for healthy longevity.

摘要

生物衰老的特征是细胞和系统水平的恢复力下降,导致死亡风险呈指数级上升。在此,我们评估了几种临床和表观遗传时钟预测死亡率的能力,结果表明,基于生存和功能衰老训练的时钟比基于实际年龄训练的时钟表现更优。我们提出了一种增强型临床时钟,它能更准确地预测死亡率,并为指导个性化干预提供可行的见解。这些发现凸显了死亡率预测时钟在为临床决策提供信息和促进健康长寿策略方面的潜力。

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