Literature DB >> 10537031

Exotic mice as models for aging research: polemic and prospectus.

R A Miller1, S Austad, D Burke, C Chrisp, R Dysko, A Galecki, A Jackson, V Monnier.   

Abstract

Most gerontological research using rodent models employs inbred strains, or F1 hybrids derived from them, rather than populations of genetically heterogeneous individuals. This study presents the argument that reliance on genetically homogeneous rodents, though sanctioned by tradition, may not be ideal for many sorts of investigations, and that use of heterogeneous mice and rats would allow researchers to reach robust conclusions that were less likely to reflect strain-specific idiosyncrasies. Segregating stocks, bred by backcross, F2 cross, or four-way cross procedures, would be an improvement over inbred and F1 stocks, providing inexpensive, arbitrarily large, and reproducible populations of genetically diverse test subjects. These stocks would not, however, recapture allelic variations that are likely to have been lost when wild-trapped mice and rats are selected inadvertently over dozens of generations for breeding success in laboratory conditions. Development of specific pathogen free stocks from wild-trapped progenitors particularly from populations selected for relevant evolutionary history and physiological characteristics, may be of great value for analysis of aging and late-life pathophysiology.

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Year:  1999        PMID: 10537031     DOI: 10.1016/s0197-4580(99)00038-x

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  22 in total

Review 1.  Principles of animal use for gerontological research.

Authors:  R A Miller; N L Nadon
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2000-03       Impact factor: 6.053

2.  Preservation of femoral bone thickness in middle age predicts survival in genetically heterogeneous mice.

Authors:  Richard A Miller; Jaclynn Kreider; Andrzej Galecki; Steven A Goldstein
Journal:  Aging Cell       Date:  2011-03-22       Impact factor: 9.304

3.  Alleles that modulate late life hearing in genetically heterogeneous mice.

Authors:  Jochen Schacht; Richard Altschuler; David T Burke; Shu Chen; David Dolan; Andrzej T Galecki; David Kohrman; Richard A Miller
Journal:  Neurobiol Aging       Date:  2012-02-02       Impact factor: 4.673

4.  Skin-derived fibroblasts from long-lived species are resistant to some, but not all, lethal stresses and to the mitochondrial inhibitor rotenone.

Authors:  James M Harper; Adam B Salmon; Scott F Leiser; Andrzej T Galecki; Richard A Miller
Journal:  Aging Cell       Date:  2006-12-05       Impact factor: 9.304

5.  Effects of differing response-force requirements on food-maintained responding in CD-1 mice.

Authors:  Troy J Zarcone; Rong Chen; Stephen C Fowler
Journal:  J Exp Anal Behav       Date:  2007-11       Impact factor: 2.468

6.  The reproducibility "crisis": Reaction to replication crisis should not stifle innovation.

Authors:  Philip Hunter
Journal:  EMBO Rep       Date:  2017-08-09       Impact factor: 8.807

7.  Translational Geroscience: From invertebrate models to companion animal and human interventions.

Authors:  Mitchell B Lee; Matt Kaeberlein
Journal:  Transl Med Aging       Date:  2018-08-17

8.  Genetic modulation of hormone levels and life span in hybrids between laboratory and wild-derived mice.

Authors:  James M Harper; Stephen J Durkee; Robert C Dysko; Steven N Austad; Richard A Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2006-10       Impact factor: 6.053

9.  B6D2F1 Mice are a suitable model of oxidative stress-mediated impaired endothelium-dependent dilation with aging.

Authors:  Lisa A Lesniewski; Melanie L Connell; Jessica R Durrant; Brian J Folian; Martin C Anderson; Anthony J Donato; Douglas R Seals
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-02-10       Impact factor: 6.053

10.  How long will my mouse live? Machine learning approaches for prediction of mouse life span.

Authors:  William R Swindell; James M Harper; Richard A Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-09       Impact factor: 6.053

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