Literature DB >> 28263867

Mutation and catastrophe in the aging genome.

Brandon Milholland1, Yousin Suh2, Jan Vijg3.   

Abstract

In the 1960s, Leslie Orgel proposed what is now known as the error catastrophe theory of aging, arguing that errors in protein translation that reduce the fidelity of the protein-translating enzymes would lead to a feedback loop of increasingly inaccurate protein synthesis, terminating in the death of the organism. This mechanism of aging would be consistent with the exponential increase of mortality observed in humans, but the error catastrophe theory of aging has been generally disregarded by researchers due to a lack of evidence for an age-related increase in protein errors. Another theory of aging, proposed at roughly the same time, is Leo Szilard's two-hit model of somatic mutation accumulation, which assumed a linear increase in mutations over time but explained the nonlinear pattern of human mortality through a mechanism of genetic and cellular redundancy which kept mortality low until the redundancy was exhausted, at which point mortality rapidly rose. Here, we synthesize the two theories, along with the latest advances in genomics research. We propose a new catastrophe theory of aging, this time with somatic mutations as the primary agent of the feedback loop. Similar to protein errors affecting translation itself, somatic mutations in genes involved in DNA replication and repair would lead to a feedback loop of exponentially increasing mutation load. The difference from protein errors is that somatic mutations would mainly affect gene regulatory regions rather than the much smaller part of the genome encoding protein-coding information. Although the self-stimulating accumulation of somatic mutations is not mutually exclusive with the Szilard-based loss of redundancy, we present evidence that suggests that the accumulated mutations themselves could be numerous enough to cause mortality. Finally, we acknowledge the limits of our current knowledge and propose a course of research practices that will help to confirm or refute our model and advance the field of aging research as a whole.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Aging; Catastrophe; Genomics; Somatic mutation; Translation error; Two-hit model

Mesh:

Year:  2017        PMID: 28263867      PMCID: PMC5480213          DOI: 10.1016/j.exger.2017.02.073

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  41 in total

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Authors:  L E ORGEL
Journal:  Proc Natl Acad Sci U S A       Date:  1963-04       Impact factor: 11.205

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Authors:  Caleb E Finch; Eileen M Crimmins
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Journal:  Nature       Date:  2006-06-22       Impact factor: 49.962

5.  The szilard hypothesis on the nature of aging revisited.

Authors:  Henrik Zetterberg; Magnus Båth; Madeleine Zetterberg; Peter Bernhardt; Ola Hammarsten
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Review 6.  A mutator phenotype in cancer.

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Journal:  Cancer Res       Date:  2001-04-15       Impact factor: 12.701

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Authors:  B N Ames; M K Shigenaga; T M Hagen
Journal:  Proc Natl Acad Sci U S A       Date:  1993-09-01       Impact factor: 11.205

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9.  Tissue-specific mutation accumulation in human adult stem cells during life.

Authors:  Francis Blokzijl; Joep de Ligt; Myrthe Jager; Valentina Sasselli; Sophie Roerink; Nobuo Sasaki; Meritxell Huch; Sander Boymans; Ewart Kuijk; Pjotr Prins; Isaac J Nijman; Inigo Martincorena; Michal Mokry; Caroline L Wiegerinck; Sabine Middendorp; Toshiro Sato; Gerald Schwank; Edward E S Nieuwenhuis; Monique M A Verstegen; Luc J W van der Laan; Jeroen de Jonge; Jan N M IJzermans; Robert G Vries; Marc van de Wetering; Michael R Stratton; Hans Clevers; Edwin Cuppen; Ruben van Boxtel
Journal:  Nature       Date:  2016-10-03       Impact factor: 49.962

10.  Age-related somatic mutations in the cancer genome.

Authors:  Brandon Milholland; Adam Auton; Yousin Suh; Jan Vijg
Journal:  Oncotarget       Date:  2015-09-22
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