Literature DB >> 12000958

Allometric cascade as a unifying principle of body mass effects on metabolism.

Charles-A Darveau1, Raul K Suarez, Russel D Andrews, Peter W Hochachka.   

Abstract

The power function of basal metabolic rate scaling is expressed as aM(b), where a corresponds to a scaling constant (intercept), M is body mass, and b is the scaling exponent. The 3/4 power law (the best-fit b value for mammals) was developed from Kleiber's original analysis and, since then, most workers have searched for a single cause to explain the observed allometry. Here we present a multiple-causes model of allometry, where the exponent b is the sum of the influences of multiple contributors to metabolism and control. The relative strength of each contributor, with its own characteristic exponent value, is determined by the control contribution. To illustrate its use, we apply this model to maximum versus basal metabolic rates to explain the differing scaling behaviour of these two biological states in mammals. The main difference in scaling is that, for the basal metabolic rate, the O(2) delivery steps contribute almost nothing to the global b scaling exponent, whereas for the maximum metabolic rate, the O(2) delivery steps significantly increase the global b value.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12000958     DOI: 10.1038/417166a

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  88 in total

1.  Scaling laws for capillary vessels of mammals at rest and in exercise.

Authors:  Thomas H Dawson
Journal:  Proc Biol Sci       Date:  2003-04-07       Impact factor: 5.349

2.  Temperature effects on a whole metabolic reaction cannot be inferred from its components.

Authors:  José Guilherme Chaui-Berlinck; Carlos Arturo Navas; Luiz Henrique Alves Monteiro; José Eduardo Pereira Wilken Bicudo
Journal:  Proc Biol Sci       Date:  2004-07-07       Impact factor: 5.349

3.  Cell size as a link between noncoding DNA and metabolic rate scaling.

Authors:  J Kozłowski; M Konarzewski; A T Gawelczyk
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-13       Impact factor: 11.205

4.  Linking genes with exercise: where is the cut-off?

Authors:  Martin Flueck; David Vaughan; Håkan Westerblad
Journal:  Eur J Appl Physiol       Date:  2010-10-13       Impact factor: 3.078

Review 5.  A comparative meta-analysis of maximal aerobic metabolism of vertebrates: implications for respiratory and cardiovascular limits to gas exchange.

Authors:  Stanley S Hillman; Thomas V Hancock; Michael S Hedrick
Journal:  J Comp Physiol B       Date:  2012-07-10       Impact factor: 2.200

6.  Appropriate interpretation of aerobic capacity: allometric scaling in adult and young soccer players.

Authors:  K Chamari; I Moussa-Chamari; L Boussaïdi; Y Hachana; F Kaouech; U Wisløff
Journal:  Br J Sports Med       Date:  2005-02       Impact factor: 13.800

7.  Effects of voluntary wheel running and amino acid supplementation on skeletal muscle of mice.

Authors:  Maria Antonietta Pellegrino; Lorenza Brocca; Francesco Saverio Dioguardi; Roberto Bottinelli; Giuseppe D'Antona
Journal:  Eur J Appl Physiol       Date:  2004-11-25       Impact factor: 3.078

Review 8.  Plant allometry, leaf nitrogen and phosphorus stoichiometry, and interspecific trends in annual growth rates.

Authors:  Karl J Niklas
Journal:  Ann Bot       Date:  2005-11-15       Impact factor: 4.357

9.  Energetics of the smallest: Do bacteria breathe at the same rate as whales?

Authors:  Anastassia M Makarieva; Victor G Gorshkov; Bai-Lian Li
Journal:  Proc Biol Sci       Date:  2005-10-22       Impact factor: 5.349

Review 10.  [Why 37 degrees C? Evolutionary fundamentals of thermoregulation].

Authors:  D Singer
Journal:  Anaesthesist       Date:  2007-09       Impact factor: 1.041

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.