Literature DB >> 24228918

Arguments against non-programmed aging theories.

T C Goldsmith1.   

Abstract

Until recently, non-programmed theories of biological aging were popular because of the widespread perception that the evolution process could not support the development and retention of programmed aging in mammals. However, newer evolutionary mechanics theories including group selection, kin selection, and evolvability theory support mammal programmed aging, and multiple programmed aging theories have been published based on the new mechanics. Some proponents of non-programmed aging still contend that their non-programmed theories are superior despite the new mechanics concepts. However, as summarized here, programmed theories provide a vastly better fit to empirical evidence and do not suffer from multiple implausible assumptions that are required by non-programmed theories. This issue is important because programmed theories suggest very different mechanisms for the aging process and therefore different mechanisms behind highly age-related diseases and conditions such as cancer, heart disease, and stroke.

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Year:  2013        PMID: 24228918     DOI: 10.1134/S0006297913090022

Source DB:  PubMed          Journal:  Biochemistry (Mosc)        ISSN: 0006-2979            Impact factor:   2.487


  3 in total

Review 1.  A synopsis on aging-Theories, mechanisms and future prospects.

Authors:  João Pinto da Costa; Rui Vitorino; Gustavo M Silva; Christine Vogel; Armando C Duarte; Teresa Rocha-Santos
Journal:  Ageing Res Rev       Date:  2016-06-25       Impact factor: 10.895

2.  THE (A)SYMMETRY OF THE MALE GRAYING BEARD HAIRS AS AN INDICATION OF THE PROGRAMMED AGING PROCESS.

Authors:  Borut Poljsak; Raja Dahmane; Metka Adamič; Robert Sotler; Tina Levec; Doroteja Pavan Jukić; Cecilija Rotim; Tomislav Jukić; Andrej Starc
Journal:  Acta Clin Croat       Date:  2020-12       Impact factor: 0.932

3.  Can aging be beneficial?

Authors:  Stephen Frenk; Jonathan Houseley
Journal:  Aging (Albany NY)       Date:  2017-10-26       Impact factor: 5.682

  3 in total

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