Aging is a non-linear dynamic process. To understand better the process and the efficacy of interventions, tools that can evaluate biological age and predict lifespan extension potential, are needed. Here, I discuss two new clocks, AFRAID and FRIGHT, from the Sinclair lab, that take us a step closer, using mouse frailty, a non-invasive, cheap and quick approach.
#aging
TIMESTAMPS;
Intro - 00:00
Biological Age - 00:43
The study - 03:00
Discussion & limitation - 08:00
References;
Schultz, M.B., Kane, A.E., Mitchell, S.J. et al. Age and life expectancy clocks based on machine learning analysis of mouse frailty. Nat Commun 11, 4618 (2020). [ Ссылка ]
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