LinAge2: providing actionable insights and benchmarking with epigenetic clocks.

IF 4.1 Q2 GERIATRICS & GERONTOLOGY
Sheng Fong, Kirill A Denisov, Anastasiia A Nefedova, Brian K Kennedy, Jan Gruber
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引用次数: 0

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.

LinAge2:通过表观遗传时钟提供可操作的见解和基准。
生物衰老的特征是细胞和系统水平的恢复能力下降,导致死亡风险呈指数级增长。在这里,我们评估了几种临床和表观遗传时钟预测死亡率的能力,证明了在生存和功能衰老方面训练的时钟优于在实足年龄方面训练的时钟。我们提出了一个增强的临床时钟,可以更准确地预测死亡率,并为指导个性化干预提供可操作的见解。这些发现强调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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.90
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