LinAge2: providing actionable insights and benchmarking with epigenetic clocks

Area of Science:

• Gerontology and Longevity Science
• Biomarkers of Aging
• Predictive Medicine

Background:

• Biological aging is characterized by reduced resilience, leading to increased mortality.
• Existing aging clocks have limitations in accurately predicting mortality risk.

Purpose of the Study:

• To evaluate the predictive accuracy of clinical and epigenetic clocks for mortality.
• To develop an enhanced clinical clock for improved mortality prediction and personalized interventions.

Main Methods:

• Assessment of multiple clinical and epigenetic aging clocks.
• Training and validation of clocks using survival and functional aging data.
• Development and evaluation of an enhanced clinical mortality prediction clock.

Main Results:

• Clocks trained on survival and functional aging demonstrated superior mortality prediction compared to chronological age clocks.
• The enhanced clinical clock showed improved accuracy in predicting mortality.
• The enhanced clock provides actionable insights for guiding interventions.

Conclusions:

• Mortality-predicting clocks, particularly those based on functional aging, are valuable tools in clinical decision-making.
• Enhanced clinical clocks can inform personalized strategies to promote healthy longevity.
• This research supports the use of advanced aging biomarkers for healthspan extension.