Literature DB >> 19223604

Toward a systems biology framework for understanding aging and health span.

Geoffrey B West1, Aviv Bergman.   

Abstract

It is argued that aging research is at a stage where it could benefit greatly from a more intense engagement with the perspectives emphasized by systems biology and complexity science. A more integrated, systematic approach is needed if we are ever to have a fully developed, fundamental understanding of aging, longevity, and their relationship to health. A broader, deeper, more quantitative, and predictive conceptual framework can lead to theoretical approaches and realistic models that can be quantitatively confronted with data and, perhaps more importantly, stimulate novel questions and novel experiments. Integral to this is the search for underlying causal multilevel mechanisms and principles that can be quantified and developed into a serious predictive theoretical framework, providing a point of departure for framing a more integrated research agenda.

Mesh:

Year:  2009        PMID: 19223604      PMCID: PMC2655035          DOI: 10.1093/gerona/gln066

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  22 in total

1.  From molecular to modular cell biology.

Authors:  L H Hartwell; J J Hopfield; S Leibler; A W Murray
Journal:  Nature       Date:  1999-12-02       Impact factor: 49.962

Review 2.  Systems biology: a brief overview.

Authors:  Hiroaki Kitano
Journal:  Science       Date:  2002-03-01       Impact factor: 47.728

3.  Systems biology: integrating technology, biology, and computation.

Authors:  Leroy Hood
Journal:  Mech Ageing Dev       Date:  2003-01       Impact factor: 5.432

4.  The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

Authors:  M Hucka; A Finney; H M Sauro; H Bolouri; J C Doyle; H Kitano; A P Arkin; B J Bornstein; D Bray; A Cornish-Bowden; A A Cuellar; S Dronov; E D Gilles; M Ginkel; V Gor; I I Goryanin; W J Hedley; T C Hodgman; J-H Hofmeyr; P J Hunter; N S Juty; J L Kasberger; A Kremling; U Kummer; N Le Novère; L M Loew; D Lucio; P Mendes; E Minch; E D Mjolsness; Y Nakayama; M R Nelson; P F Nielsen; T Sakurada; J C Schaff; B E Shapiro; T S Shimizu; H D Spence; J Stelling; K Takahashi; M Tomita; J Wagner; J Wang
Journal:  Bioinformatics       Date:  2003-03-01       Impact factor: 6.937

5.  Evolutionary capacitance as a general feature of complex gene networks.

Authors:  Aviv Bergman; Mark L Siegal
Journal:  Nature       Date:  2003-07-31       Impact factor: 49.962

6.  Evolutionary biology: mortality and lifespan.

Authors:  Peter A Abrams
Journal:  Nature       Date:  2004-10-28       Impact factor: 49.962

Review 7.  The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization.

Authors:  Geoffrey B West; James H Brown
Journal:  J Exp Biol       Date:  2005-05       Impact factor: 3.312

8.  Allometric scaling of metabolic rate from molecules and mitochondria to cells and mammals.

Authors:  Geoffrey B West; William H Woodruff; James H Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

Review 9.  Understanding aging: revealing order out of chaos.

Authors:  Eric Dufour; Nils-Göran Larsson
Journal:  Biochim Biophys Acta       Date:  2004-07-23

10.  Towards an e-biology of ageing: integrating theory and data.

Authors:  Thomas B L Kirkwood; Richard J Boys; Colin S Gillespie; Carole J Proctor; Daryl P Shanley; Darren J Wilkinson
Journal:  Nat Rev Mol Cell Biol       Date:  2003-03       Impact factor: 94.444

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  14 in total

Review 1.  Biological approaches to mechanistically understand the healthy life span extension achieved by calorie restriction and modulation of hormones.

Authors:  Nir Barzilai; Andrzej Bartke
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-02-19       Impact factor: 6.053

Review 2.  Cell stress and aging: new emphasis on multiplex resistance mechanisms.

Authors:  Richard A Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-02-18       Impact factor: 6.053

3.  Age-Related Changes in Locomotor Performance Reveal a Similar Pattern for Caenorhabditis elegans, Mus domesticus, Canis familiaris, Equus caballus, and Homo sapiens.

Authors:  Adrien Marck; Geoffroy Berthelot; Vincent Foulonneau; Andy Marc; Juliana Antero-Jacquemin; Philippe Noirez; Anne M Bronikowski; Theodore J Morgan; Theodore Garland; Patrick A Carter; Pascal Hersen; Jean-Marc Di Meglio; Jean-François Toussaint
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-04-01       Impact factor: 6.053

4.  An Emergent Integrated Aging Process Conserved Across Primates.

Authors:  Tina W Wey; Émy Roberge; Véronique Legault; Joseph W Kemnitz; Luigi Ferrucci; Alan A Cohen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-10-04       Impact factor: 6.053

5.  Trajectories of physiological dysregulation predicts mortality and health outcomes in a consistent manner across three populations.

Authors:  Emmanuel Milot; V Morissette-Thomas; Qing Li; Linda P Fried; Luigi Ferrucci; Alan A Cohen
Journal:  Mech Ageing Dev       Date:  2014-10-20       Impact factor: 5.432

Review 6.  Methusaleh's Zoo: how nature provides us with clues for extending human health span.

Authors:  S N Austad
Journal:  J Comp Pathol       Date:  2009-12-04       Impact factor: 1.311

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

Review 8.  Protein homeostasis and aging: taking care of proteins from the cradle to the grave.

Authors:  Richard I Morimoto; Ana M Cuervo
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-02-19       Impact factor: 6.053

Review 9.  Extension of the mitochondria dysfunction hypothesis of metabolic syndrome to atherosclerosis with emphasis on the endocrine-disrupting chemicals and biophysical laws.

Authors:  Hong Kyu Lee; Eun Bo Shim
Journal:  J Diabetes Investig       Date:  2013-01-29       Impact factor: 4.232

10.  Whole blood transcriptomics and urinary metabolomics to define adaptive biochemical pathways of high-intensity exercise in 50-60 year old masters athletes.

Authors:  Kamalika Mukherjee; Brittany A Edgett; Harrison W Burrows; Cecilia Castro; Julian L Griffin; Adel Giaid Schwertani; Brendon J Gurd; Colin D Funk
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

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