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Deep Phenotyping and Lifetime Trajectories Reveal Limited Effects of Longevity Regulators on the Aging Process in C57BL/6J Mice

Authors :
Kan Xie
Helmut Fuchs
Enzo Scifo
Dan Liu
Ahmad Aziz
Juan Antonio Aguilar-Pimentel
Oana Veronica Amarie
Lore Becker
Patricia da Silva-Buttkus
Julia Calzada-Wack
Yi-Li Cho
Yushuang Deng
A. Cole Edwards
Lillian Garrett
Christina Georgopoulou
Raffaele Gerlini
Sabine M. Hölter
Tanja Klein-Rodewald
Michael Kramer
Stefanie Leuchtenberger
Dimitra Lountzi
Phillip Mayer-Kuckuk
Lena L. Nover
Manuela A. Oestereicher
Clemens Overkott
Brandon L. Pearson
Birgit Rathkolb
Jan Rozman
Jenny Russ
Kristina Schaaf
Nadine Spielmann
Adrián Sanz-Moreno
Claudia Stoeger
Irina Treise
Daniele Bano
Dirk H. Busch
Jochen Graw
Martin Klingenspor
Thomas Klopstock
Beverly A. Mock
Paolo Salomoni
Carsten Schmidt-Weber
Marco Weiergräber
Eckhard Wolf
Wolfgang Wurst
Valérie Gailus-Durner
Monique M. B. Breteler
Martin Hrabě de Angelis
Dan Ehninger
Source :
Nature Communications, 13(1):6830, Nature Communications 13(1), 6830 (2022). doi:10.1038/s41467-022-34515-y, Nat. Commun. 13:6830 (2022)
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

SummaryCurrent concepts regarding the biology of aging are based on studies aimed at identifying factors regulating natural lifespan. However, lifespan as a sole proxy measure for aging can be of limited value because it may be restricted by specific sets of pathologies, rather than by general physiological decline. Here, we employed large-scale phenotyping to analyze hundreds of phenotypes and thousands of molecular markers across tissues and organ systems in a single study of aging male C57BL/6J mice. For each phenotype, we established lifetime profiles to determine when age-dependent phenotypic change is first detectable relative to the young adult baseline. We examined central genetic and environmental lifespan regulators (putative anti-aging interventions, PAAIs; the following PAAIs were examined: mTOR loss-of-function, loss-of-function in growth hormone signaling, dietary restriction) for a possible countering of the signs and symptoms of aging. Importantly, in our study design, we included young treated groups of animals, subjected to PAAIs prior to the onset of detectable age-dependent phenotypic change. In parallel to our studies in mice, we assessed genetic variants for their effects on age-sensitive phenotypes in humans. We observed that, surprisingly, many PAAI effects influenced phenotypes long before the onset of detectable age-dependent changes, rather than altering the rate at which these phenotypes developed with age. Accordingly, this subset of PAAI effects does not reflect a targeting of age-dependent phenotypic change. Overall, our findings suggest that comprehensive phenotyping, including the controls built in our study, is critical for the investigation of PAAIs as it facilitates the proper interpretation of the mechanistic mode by which PAAIs influence biological aging.HighlightsPhenotyping at scale defines lifetime trajectories of age-dependent changes in C57BL/6J miceCentral genetic and environmental lifespan regulators (putative anti-aging interventions; PAAIs) influence age-sensitive phenotypes (ASPs) often long before the appearance of age-dependent changes in these ASPsCorresponding genetic variants in humans also have age-independent effectsMany PAAI effects shift the baseline of ASPs rather than slowing their rate of change

Details

Database :
OpenAIRE
Journal :
Nature Communications, 13(1):6830, Nature Communications 13(1), 6830 (2022). doi:10.1038/s41467-022-34515-y, Nat. Commun. 13:6830 (2022)
Accession number :
edsair.doi.dedup.....6d257d56a9096dee85263597bab592d8
Full Text :
https://doi.org/10.1101/2022.03.25.485824