Literature DB >> 16941009

How genetic analysis tests theories of animal aging.

Siegfried Hekimi1.   

Abstract

Each animal species displays a specific life span, rate of aging and pattern of development of age-dependent diseases. The genetic bases of these related features are being studied experimentally in invertebrate and vertebrate model systems as well as in humans through medical records. Three types of mutants are being analyzed: (i) short-lived mutants that are prone to age-dependent diseases and might be models of accelerated aging; (ii) mutants that show overt molecular defects but that do not live shorter lives than controls, and can be used to test specific theories about the molecular causes of aging and age-dependent diseases; and (iii) long-lived mutants that might advance the understanding of the molecular physiology of slow-aging animals and aid the discovery of molecular targets that could be used to manipulate rates of aging to benefit human health. Here, I analyze some of what we know today and discuss what we should try to find out in the future to understand the aging phenomenon.

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Year:  2006        PMID: 16941009     DOI: 10.1038/ng1881

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  21 in total

1.  Health span approximates life span among many supercentenarians: compression of morbidity at the approximate limit of life span.

Authors:  Stacy L Andersen; Paola Sebastiani; Daniel A Dworkis; Lori Feldman; Thomas T Perls
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-01-04       Impact factor: 6.053

2.  Reversal of the mitochondrial phenotype and slow development of oxidative biomarkers of aging in long-lived Mclk1+/- mice.

Authors:  Jérôme Lapointe; Zaruhi Stepanyan; Eve Bigras; Siegfried Hekimi
Journal:  J Biol Chem       Date:  2009-05-28       Impact factor: 5.157

3.  Has the time come to take on time itself?

Authors:  Colin Farrelly
Journal:  BMJ       Date:  2008-07-08

4.  Early mitochondrial dysfunction in long-lived Mclk1+/- mice.

Authors:  Jérôme Lapointe; Siegfried Hekimi
Journal:  J Biol Chem       Date:  2008-07-17       Impact factor: 5.157

5.  Different Mechanisms of Longevity in Long-Lived Mouse and Caenorhabditis elegans Mutants Revealed by Statistical Analysis of Mortality Rates.

Authors:  Bryan G Hughes; Siegfried Hekimi
Journal:  Genetics       Date:  2016-09-16       Impact factor: 4.562

6.  Activation of the lifespan regulator p66Shc through reversible disulfide bond formation.

Authors:  Melanie Gertz; Frank Fischer; Dirk Wolters; Clemens Steegborn
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-14       Impact factor: 11.205

7.  Lifelong protection from global cerebral ischemia and reperfusion in long-lived Mclk1(+/)(-) mutants.

Authors:  Huaien Zheng; Jérôme Lapointe; Siegfried Hekimi
Journal:  Exp Neurol       Date:  2010-02-17       Impact factor: 5.330

8.  Construction of an integral formula of biological age for a healthy Chinese population using principle component analysis.

Authors:  W-G Zhang; X-J Bai; X-F Sun; G-Y Cai; X-Y Bai; S-Y Zhu; M Zhang; X-M Chen
Journal:  J Nutr Health Aging       Date:  2014       Impact factor: 4.075

Review 9.  When a theory of aging ages badly.

Authors:  Jérôme Lapointe; Siegfried Hekimi
Journal:  Cell Mol Life Sci       Date:  2010-01       Impact factor: 9.261

10.  A model selection approach to discover age-dependent gene expression patterns using quantile regression models.

Authors:  Joshua W K Ho; Maurizio Stefani; Cristobal G dos Remedios; Michael A Charleston
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

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