Literature DB >> 4087941

A return to time, cells, systems, and aging: III. Gompertzian models of biological aging and some possible roles for critical elements.

M Witten.   

Abstract

In this paper, I continue my investigation into the modeling of senescence in biological hierarchies. Making use of my previous discussion on non-reestablishable biological components, I derive a mathematical model which has Gompertzian-like dynamics. I show how this model may be approximated, in certain instances, by a Gompertzian equation. I then demonstrate how our approach yields a biological interpretation for the parameters in the Gompertzian equation. I then demonstrate how changes in the parameter values may be interpreted in light of the biology. Subsequently, I review the literature on the allometry of aging, and I demonstrate how my reliability model may be used to obtain--in a qualitative manner--some of the lifespan curves found in the literature. I close my discussion by constructing a more complex reliability model which incorporates the deterministic failure of biological components with stochastic aspects of senescence.

Mesh:

Year:  1985        PMID: 4087941     DOI: 10.1016/0047-6374(85)90077-6

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  6 in total

1.  On the incompatibility of Gompertz or Weibull survival dynamics with exponentially distributed individual lifespans.

Authors:  F Guess; M Witten
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

2.  Empirical maximum lifespan of earthworms is twice that of mice.

Authors:  Christian Mulder; Rob Baerselman; Leo Posthuma
Journal:  Age (Dordr)       Date:  2007-08-09

3.  Nutrient supply, cell spatial correlation and Gompertzian tumor growth.

Authors:  P Castorina; D Carco'
Journal:  Theory Biosci       Date:  2021-05-14       Impact factor: 1.919

4.  Interaction Analysis of Longevity Interventions Using Survival Curves.

Authors:  Stefan Nowak; Johannes Neidhart; Ivan G Szendro; Jonas Rzezonka; Rahul Marathe; Joachim Krug
Journal:  Biology (Basel)       Date:  2018-01-06

5.  Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity.

Authors:  J R Managbanag; Tarynn M Witten; Danail Bonchev; Lindsay A Fox; Mitsuhiro Tsuchiya; Brian K Kennedy; Matt Kaeberlein
Journal:  PLoS One       Date:  2008-11-25       Impact factor: 3.240

6.  Estimating network changes from lifespan measurements using a parsimonious gene network model of cellular aging.

Authors:  Hong Qin
Journal:  BMC Bioinformatics       Date:  2019-11-20       Impact factor: 3.169

  6 in total

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