Literature DB >> 11074293

Metabolic control and ageing.

S M Jazwinski1.   

Abstract

There appear to be multiple processes that are limiting for longevity and the associated mechanisms of ageing. Among these processes, metabolic control is coming to the forefront, because it has surfaced in studies in several model systems and because of its relevance to mammalian ageing. The genetic and molecular dissection of ageing in yeast points to mechanisms involving three aspects of metabolism. First, dysfunctional mitochondria signal many changes in nuclear gene expression that result in metabolic adjustments that extend life span. Second, manipulation of nutritional status can also increase longevity in a separate caloric-restriction pathway. Finally, protein synthesis is a third aspect, which depends on the transcriptional state of chromatin and the histone deacetylases that modulate it.

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Year:  2000        PMID: 11074293     DOI: 10.1016/s0168-9525(00)02119-3

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  13 in total

1.  Metabolic analysis of senescent human fibroblasts reveals a role for AMP in cellular senescence.

Authors:  Werner Zwerschke; Sybille Mazurek; Petra Stöckl; Eveline Hütter; Erich Eigenbrodt; Pidder Jansen-Dürr
Journal:  Biochem J       Date:  2003-12-01       Impact factor: 3.857

2.  hpr1Delta affects ribosomal DNA recombination and cell life span in Saccharomyces cerevisiae.

Authors:  Robert J Merker; Hannah L Klein
Journal:  Mol Cell Biol       Date:  2002-01       Impact factor: 4.272

3.  Stem cells from birth to death: The history and the future.

Authors:  Gerald de Haan; Gary Van Zant
Journal:  J Am Aging Assoc       Date:  2002-04

4.  The Sgs1 helicase of Saccharomyces cerevisiae inhibits retrotransposition of Ty1 multimeric arrays.

Authors:  M Bryk; M Banerjee; D Conte; M J Curcio
Journal:  Mol Cell Biol       Date:  2001-08       Impact factor: 4.272

Review 5.  The caloric restriction paradigm: implications for healthy human aging.

Authors:  Rozalyn M Anderson; Richard Weindruch
Journal:  Am J Hum Biol       Date:  2012-01-30       Impact factor: 1.937

6.  Mitochondrial DNA as a cancer biomarker.

Authors:  John P Jakupciak; Wendy Wang; Maura E Markowitz; Delphine Ally; Michael Coble; Sudhir Srivastava; Anirban Maitra; Peter E Barker; David Sidransky; Catherine D O'Connell
Journal:  J Mol Diagn       Date:  2005-05       Impact factor: 5.568

7.  Rule-based cell systems model of aging using feedback loop motifs mediated by stress responses.

Authors:  Andres Kriete; William J Bosl; Glenn Booker
Journal:  PLoS Comput Biol       Date:  2010-06-17       Impact factor: 4.475

8.  Plasmid accumulation reduces life span in Saccharomyces cerevisiae.

Authors:  Alaric A Falcón; John P Aris
Journal:  J Biol Chem       Date:  2003-08-06       Impact factor: 5.157

9.  Performance of mitochondrial DNA mutations detecting early stage cancer.

Authors:  John P Jakupciak; Samantha Maragh; Maura E Markowitz; Alissa K Greenberg; Mohammad O Hoque; Anirban Maitra; Peter E Barker; Paul D Wagner; William N Rom; Sudhir Srivastava; David Sidransky; Catherine D O'Connell
Journal:  BMC Cancer       Date:  2008-10-03       Impact factor: 4.430

10.  Genomic instability is associated with natural life span variation in Saccharomyces cerevisiae.

Authors:  Hong Qin; Meng Lu; David S Goldfarb
Journal:  PLoS One       Date:  2008-07-16       Impact factor: 3.240

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