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Biochemistry (Moscow)

, Volume 81, Issue 12, pp 1461–1476 | Cite as

Is it possible to prove the existence of an aging program by quantitative analysis of mortality dynamics?

  • G. A. Shilovsky
  • T. S. Putyatina
  • S. N. Lysenkov
  • V. V. Ashapkin
  • O. S. Luchkina
  • A. V. Markov
  • V. P. Skulachev
Phenoptosis (Special Issue) Review

Abstract

Accumulation of various types of lesions in the course of aging increases an organism’s vulnerability and results in a monotonous elevation of mortality rate, irrespective of the position of a species on the evolutionary tree. Stroustrup et al. (Nature, 530, 103–107) [1] showed in 2016 that in the nematode Caenorhabditis elegans, longevity-altering factors (e.g. oxidative stress, temperature, or diet) do not change the shape of the survival curve, but either stretch or shrink it along the time axis, which the authors attributed to the existence of an “aging program”. Modification of the accelerated failure time model by Stroustrup et al. uses temporal scaling as a basic approach for distinguishing between quantitative and qualitative changes in aging dynamics. Thus we analyzed data on the effects of various longevity-increasing genetic manipulations in flies, worms, and mice and used several models to choose a theory that would best fit the experimental results. The possibility to identify the moment of switch from a mortality-governing pathway to some other pathways might be useful for testing geroprotective drugs. In this work, we discuss this and other aspects of temporal scaling.

Key words

lifespan aging survival curves temporal scaling phenoptosis 

Abbreviations

AFT model

accelerated failure time model

AMPK

AMP-activated protein kinase

CV

coefficient of variation

FI

frailty index

HIF-1

hypoxia-inducible factor 1

PH model

Cox proportional hazards model

SOD

superoxide dismutase

tBuOOH

tert-butyl hydroperoxide

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Copyright information

© Pleiades Publishing, Ltd. 2016

Authors and Affiliations

  • G. A. Shilovsky
    • 1
    • 2
  • T. S. Putyatina
    • 2
  • S. N. Lysenkov
    • 2
    • 3
  • V. V. Ashapkin
    • 1
  • O. S. Luchkina
    • 4
  • A. V. Markov
    • 2
  • V. P. Skulachev
    • 1
  1. 1.Lomonosov Moscow State University, Belozersky Institute of Physico-Chemical BiologyMoscowRussia
  2. 2.Lomonosov Moscow State University, Faculty of BiologyMoscowRussia
  3. 3.Russian Clinical Research Center for GerontologyMoscowRussia
  4. 4.Severtsov Institute of Ecology and EvolutionRussian Academy of SciencesMoscowRussia

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