Literature DB >> 11701657

The genetics of aging.

C E Finch1, G Ruvkun.   

Abstract

The genetic analysis of life span has only begun in mammals, invertebrates, such as Caenorhabditis elegans and Drosophila, and yeast. Even at this primitive stage of the genetic analysis of aging, the physiological observations that rate of metabolism is intimately tied to life span is supported. In many examples from mice to worms to flies to yeast, genetic variants that affect life span also modify metabolism. Insulin signaling regulates life span coordinately with reproduction, metabolism, and free radical protective gene regulation in C. elegans. This may be related to the findings that caloric restriction also regulates mammalian aging, perhaps via the modulation of insulin-like signaling pathways. The nervous system has been implicated as a key tissue where insulin-like signaling and free radical protective pathways regulate life span in C. elegans and Drosophila. Genes that determine the life span could act in neuroendocrine cells in diverse animals. The involvement of insulin-like hormones suggests that the plasticity in life spans evident in animal phylogeny may be due to variation in the timing of release of hormones that control vitality and mortality as well as variation in the response to those hormones. Pedigree analysis of human aging may reveal variations in the orthologs of the insulin pathway genes and coupled pathways that regulate invertebrate aging. Thus, genetic approaches may identify a set of circuits that was established in ancestral metazoans to regulate their longevity.

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Year:  2001        PMID: 11701657     DOI: 10.1146/annurev.genom.2.1.435

Source DB:  PubMed          Journal:  Annu Rev Genomics Hum Genet        ISSN: 1527-8204            Impact factor:   8.929


  105 in total

1.  Genome-wide coexpression dynamics: theory and application.

Authors:  Ker-Chau Li
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-16       Impact factor: 11.205

2.  A divergent INS protein in Caenorhabditis elegans structurally resembles human insulin and activates the human insulin receptor.

Authors:  Qing-Xin Hua; Satoe H Nakagawa; Jill Wilken; Rowena R Ramos; Wenhua Jia; Joseph Bass; Michael A Weiss
Journal:  Genes Dev       Date:  2003-03-21       Impact factor: 11.361

3.  Life-history connections to rates of aging in terrestrial vertebrates.

Authors:  Robert E Ricklefs
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

Review 4.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

Authors:  David Karasik
Journal:  Age (Dordr)       Date:  2010-07-02

Review 5.  The place of genetics in ageing research.

Authors:  Nir Barzilai; Leonard Guarente; Thomas B L Kirkwood; Linda Partridge; Thomas A Rando; P Eline Slagboom
Journal:  Nat Rev Genet       Date:  2012-07-10       Impact factor: 53.242

Review 6.  Views from within and beyond: narratives of cardiac contractile dysfunction under senescence.

Authors:  Xiaoping Yang; Nair Sreejayan; Jun Ren
Journal:  Endocrine       Date:  2005-03       Impact factor: 3.633

7.  Embryo development and ageing in birds and mammals.

Authors:  Robert E Ricklefs
Journal:  Proc Biol Sci       Date:  2006-08-22       Impact factor: 5.349

8.  The genome of the fire ant Solenopsis invicta.

Authors:  Yannick Wurm; John Wang; Oksana Riba-Grognuz; Miguel Corona; Sanne Nygaard; Brendan G Hunt; Krista K Ingram; Laurent Falquet; Mingkwan Nipitwattanaphon; Dietrich Gotzek; Michiel B Dijkstra; Jan Oettler; Fabien Comtesse; Cheng-Jen Shih; Wen-Jer Wu; Chin-Cheng Yang; Jerome Thomas; Emmanuel Beaudoing; Sylvain Pradervand; Volker Flegel; Erin D Cook; Roberto Fabbretti; Heinz Stockinger; Li Long; William G Farmerie; Jane Oakey; Jacobus J Boomsma; Pekka Pamilo; Soojin V Yi; Jürgen Heinze; Michael A D Goodisman; Laurent Farinelli; Keith Harshman; Nicolas Hulo; Lorenzo Cerutti; Ioannis Xenarios; Dewayne Shoemaker; Laurent Keller
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-31       Impact factor: 11.205

9.  Genes that may modulate longevity in C. elegans in both dauer larvae and long-lived daf-2 adults.

Authors:  Peter Ruzanov; Donald L Riddle; Marco A Marra; Sheldon J McKay; Steven M Jones
Journal:  Exp Gerontol       Date:  2007-04-21       Impact factor: 4.032

10.  Identification by machine vision of the rate of motor activity decline as a lifespan predictor in C. elegans.

Authors:  Ao-Lin Hsu; Zhaoyang Feng; Meng-Yin Hsieh; X Z Shawn Xu
Journal:  Neurobiol Aging       Date:  2008-02-05       Impact factor: 4.673

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