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A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging

Many studies have reported genetic interventions that have an effect on mouse life span; however, it is crucial to discriminate between manipulations of aging and aging-independent causes of life extension. Here, we used the Gompertz equation to determine whether previously reported aging-related mo...

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Autores principales: Pedro de Magalhães, João, Thompson, Louise, de Lima, Izabella, Gaskill, Dale, Li, Xiaoyu, Thornton, Daniel, Yang, Chenhao, Palmer, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887152/
https://www.ncbi.nlm.nih.gov/pubmed/29444805
http://dx.doi.org/10.1534/genetics.118.300821
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author Pedro de Magalhães, João
Thompson, Louise
de Lima, Izabella
Gaskill, Dale
Li, Xiaoyu
Thornton, Daniel
Yang, Chenhao
Palmer, Daniel
author_facet Pedro de Magalhães, João
Thompson, Louise
de Lima, Izabella
Gaskill, Dale
Li, Xiaoyu
Thornton, Daniel
Yang, Chenhao
Palmer, Daniel
author_sort Pedro de Magalhães, João
collection PubMed
description Many studies have reported genetic interventions that have an effect on mouse life span; however, it is crucial to discriminate between manipulations of aging and aging-independent causes of life extension. Here, we used the Gompertz equation to determine whether previously reported aging-related mouse genes statistically affect the demographic rate of aging. Of 30 genetic manipulations previously reported to extend life span, for only two we found evidence of retarding demographic aging: Cisd2 and hMTH1. Of 24 genetic manipulations reported to shorten life span and induce premature aging features, we found evidence of five accelerating demographic aging: Casp2, Fn1, IKK-β, JunD, and Stub1. Overall, our reassessment found that only 15% of the genetic manipulations analyzed significantly affected the demographic rate of aging as predicted, suggesting that a relatively small proportion of interventions affecting longevity do so by regulating the rate of aging. By contrast, genetic manipulations affecting longevity tend to impact on aging-independent mortality. Our meta-analysis of multiple mouse longevity studies also reveals substantial variation in the controls used across experiments, suggesting that a short life span of controls is a potential source of bias. Overall, the present work leads to a reassessment of genes affecting the aging process in mice, with broad implications for our understanding of the genetics of mammalian aging and which genes may be more promising targets for drug discovery.
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spelling pubmed-58871522018-04-06 A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging Pedro de Magalhães, João Thompson, Louise de Lima, Izabella Gaskill, Dale Li, Xiaoyu Thornton, Daniel Yang, Chenhao Palmer, Daniel Genetics Investigations Many studies have reported genetic interventions that have an effect on mouse life span; however, it is crucial to discriminate between manipulations of aging and aging-independent causes of life extension. Here, we used the Gompertz equation to determine whether previously reported aging-related mouse genes statistically affect the demographic rate of aging. Of 30 genetic manipulations previously reported to extend life span, for only two we found evidence of retarding demographic aging: Cisd2 and hMTH1. Of 24 genetic manipulations reported to shorten life span and induce premature aging features, we found evidence of five accelerating demographic aging: Casp2, Fn1, IKK-β, JunD, and Stub1. Overall, our reassessment found that only 15% of the genetic manipulations analyzed significantly affected the demographic rate of aging as predicted, suggesting that a relatively small proportion of interventions affecting longevity do so by regulating the rate of aging. By contrast, genetic manipulations affecting longevity tend to impact on aging-independent mortality. Our meta-analysis of multiple mouse longevity studies also reveals substantial variation in the controls used across experiments, suggesting that a short life span of controls is a potential source of bias. Overall, the present work leads to a reassessment of genes affecting the aging process in mice, with broad implications for our understanding of the genetics of mammalian aging and which genes may be more promising targets for drug discovery. Genetics Society of America 2018-04 2018-02-14 /pmc/articles/PMC5887152/ /pubmed/29444805 http://dx.doi.org/10.1534/genetics.118.300821 Text en Copyright © 2018 de Magalhães et al. Available freely online through the author-supported open access option. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Pedro de Magalhães, João
Thompson, Louise
de Lima, Izabella
Gaskill, Dale
Li, Xiaoyu
Thornton, Daniel
Yang, Chenhao
Palmer, Daniel
A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
title A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
title_full A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
title_fullStr A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
title_full_unstemmed A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
title_short A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
title_sort reassessment of genes modulating aging in mice using demographic measurements of the rate of aging
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887152/
https://www.ncbi.nlm.nih.gov/pubmed/29444805
http://dx.doi.org/10.1534/genetics.118.300821
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