Literature DB >> 36178967

A hierarchical process model links behavioral aging and lifespan in C. elegans.

Natasha Oswal1,2, Olivier M F Martin1,2, Sofia Stroustrup1, Monika Anna Matusiak Bruckner1,2, Nicholas Stroustrup1,2.   

Abstract

Aging involves a transition from youthful vigor to geriatric infirmity and death. Individuals who remain vigorous longer tend to live longer, and within isogenic populations of C. elegans the timing of age-associated vigorous movement cessation (VMC) is highly correlated with lifespan. Yet, many mutations and interventions in aging alter the proportion of lifespan spent moving vigorously, appearing to "uncouple" youthful vigor from lifespan. To clarify the relationship between vigorous movement cessation, death, and the physical declines that determine their timing, we developed a new version of the imaging platform called "The Lifespan Machine". This technology allows us to compare behavioral aging and lifespan at an unprecedented scale. We find that behavioral aging involves a time-dependent increase in the risk of VMC, reminiscent of the risk of death. Furthermore, we find that VMC times are inversely correlated with remaining lifespan across a wide range of genotypes and environmental conditions. Measuring and modelling a variety of lifespan-altering interventions including a new RNA-polymerase II auxin-inducible degron system, we find that vigorous movement and lifespan are best described as emerging from the interplay between at least two distinct physical declines whose rates co-vary between individuals. In this way, we highlight a crucial limitation of predictors of lifespan like VMC-in organisms experiencing multiple, distinct, age-associated physical declines, correlations between mid-life biomarkers and late-life outcomes can arise from the contextual influence of confounding factors rather than a reporting by the biomarker of a robustly predictive biological age.

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Year:  2022        PMID: 36178967      PMCID: PMC9524676          DOI: 10.1371/journal.pcbi.1010415

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.779


  51 in total

1.  Age-specific demographic profiles of longevity mutants in Caenorhabditis elegans show segmental effects.

Authors:  T E Johnson; D Wu; P Tedesco; S Dames; J W Vaupel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-08       Impact factor: 6.053

2.  Measurements of age-related changes of physiological processes that predict lifespan of Caenorhabditis elegans.

Authors:  Cheng Huang; Chengjie Xiong; Kerry Kornfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-12       Impact factor: 11.205

Review 3.  C. elegans locomotion: small circuits, complex functions.

Authors:  Mei Zhen; Aravinthan D T Samuel
Journal:  Curr Opin Neurobiol       Date:  2015-04-04       Impact factor: 6.627

4.  Uncoupling lifespan and healthspan in Caenorhabditis elegans longevity mutants.

Authors:  Ankita Bansal; Lihua J Zhu; Kelvin Yen; Heidi A Tissenbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-05       Impact factor: 11.205

5.  How a Mutation that Slows Aging Can Also Disproportionately Extend End-of-Life Decrepitude.

Authors:  Katie Podshivalova; Rex A Kerr; Cynthia Kenyon
Journal:  Cell Rep       Date:  2017-04-18       Impact factor: 9.423

6.  The impact of heterogeneity in individual frailty on the dynamics of mortality.

Authors:  J W Vaupel; K G Manton; E Stallard
Journal:  Demography       Date:  1979-08

7.  Multi-state models for the analysis of time-to-event data.

Authors:  Luís Meira-Machado; Jacobo de Uña-Alvarez; Carmen Cadarso-Suárez; Per K Andersen
Journal:  Stat Methods Med Res       Date:  2008-06-18       Impact factor: 3.021

8.  flexsurv: A Platform for Parametric Survival Modeling in R.

Authors:  Christopher H Jackson
Journal:  J Stat Softw       Date:  2016-05-12       Impact factor: 6.440

9.  Widespread protein aggregation as an inherent part of aging in C. elegans.

Authors:  Della C David; Noah Ollikainen; Jonathan C Trinidad; Michael P Cary; Alma L Burlingame; Cynthia Kenyon
Journal:  PLoS Biol       Date:  2010-08-10       Impact factor: 8.029

10.  C. elegans maximum velocity correlates with healthspan and is maintained in worms with an insulin receptor mutation.

Authors:  Jeong-Hoon Hahm; Sunhee Kim; Race DiLoreto; Cheng Shi; Seung-Jae V Lee; Coleen T Murphy; Hong Gil Nam
Journal:  Nat Commun       Date:  2015-11-20       Impact factor: 14.919

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