Literature DB >> 25353538

Aging in complex interdependency networks.

Dervis C Vural1, Greg Morrison2, L Mahadevan3.   

Abstract

Although species longevity is subject to a diverse range of evolutionary forces, the mortality curves of a wide variety of organisms are rather similar. Here we argue that qualitative and quantitative features of aging can be reproduced by a simple model based on the interdependence of fault-prone agents on one other. In addition to fitting our theory to the empiric mortality curves of six very different organisms, we establish the dependence of lifetime and aging rate on initial conditions, damage and repair rate, and system size. We compare the size distributions of disease and death and see that they have qualitatively different properties. We show that aging patterns are independent of the details of interdependence network structure, which suggests that aging is a many-body effect, and that the qualitative and quantitative features of aging are not sensitively dependent on the details of dependency structure or its formation.

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Year:  2014        PMID: 25353538     DOI: 10.1103/PhysRevE.89.022811

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  12 in total

1.  The organization and control of an evolving interdependent population.

Authors:  Dervis C Vural; Alexander Isakov; L Mahadevan
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

Review 2.  Long noncoding RNAs in diseases of aging.

Authors:  Jiyoung Kim; Kyoung Mi Kim; Ji Heon Noh; Je-Hyun Yoon; Kotb Abdelmohsen; Myriam Gorospe
Journal:  Biochim Biophys Acta       Date:  2015-07-02

3.  Optimal control of aging in complex networks.

Authors:  Eric D Sun; Thomas C T Michaels; L Mahadevan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-12       Impact factor: 11.205

4.  Tissue Failure Propagation as Mediated by Circulatory Flow.

Authors:  Gurdip Uppal; Gokhan Bahcecioglu; Pinar Zorlutuna; Dervis Can Vural
Journal:  Biophys J       Date:  2020-11-13       Impact factor: 4.033

Review 5.  Modeling aging and its impact on cellular function and organismal behavior.

Authors:  Emerson Santiago; David F Moreno; Murat Acar
Journal:  Exp Gerontol       Date:  2021-09-26       Impact factor: 4.032

6.  A Tissue Engineered Model of Aging: Interdependence and Cooperative Effects in Failing Tissues.

Authors:  A Acun; D C Vural; P Zorlutuna
Journal:  Sci Rep       Date:  2017-07-11       Impact factor: 4.379

7.  Interdependence theory of tissue failure: bulk and boundary effects.

Authors:  Daniel Suma; Aylin Acun; Pinar Zorlutuna; Dervis Can Vural
Journal:  R Soc Open Sci       Date:  2018-02-21       Impact factor: 2.963

8.  Shearing in flow environment promotes evolution of social behavior in microbial populations.

Authors:  Gurdip Uppal; Dervis Can Vural
Journal:  Elife       Date:  2018-05-22       Impact factor: 8.140

Review 9.  Measuring and modeling interventions in aging.

Authors:  Nicholas Stroustrup
Journal:  Curr Opin Cell Biol       Date:  2018-08-10       Impact factor: 8.382

10.  The generational scalability of single-cell replicative aging.

Authors:  Ping Liu; Murat Acar
Journal:  Sci Adv       Date:  2018-01-31       Impact factor: 14.136

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