Literature DB >> 18978222

Traditional allometric analysis fails to provide a valid predictive model for mammalian metabolic rates.

Gary C Packard1, Geoffrey F Birchard.   

Abstract

The field of biological allometry was energized by the publication in 1997 of a theoretical model purporting to explain 3/4-power scaling of metabolic rate with body mass in mammals. This 3/4-power scaling exponent, which was first reported by Max Kleiber in 1932, has been derived repeatedly in empirical research by independent investigators and has come to be known as 'Kleiber's Law'. The exponent was estimated in virtually every instance, however, by fitting a straight line to logarithmic transformations of data and by then re-expressing the resulting equation in the arithmetic scale. Because this traditional method may yield inaccurate and misleading estimates for parameters in the allometric equation, we re-examined the comprehensive data set that led Savage and colleagues to reaffirm the view that the metabolic rate of mammals scales to the 3/4-power of body mass. We found that a straight line fitted to logged data for the basal metabolic rate (BMR) of mammals ranging in size from a 2.4 g shrew to a 3672 kg elephant does not satisfy assumptions underlying the analysis and that the allometric equation obtained by back-transformation underestimates BMR for the largest species in the sample. Thus, the concept of 3/4-power scaling of metabolic rate to body mass is not well supported because the underlying statistical model does not apply to mammalian species spanning the full range in body size. Our findings have important implications with respect to methods and results of other studies that used the traditional approach to allometric analysis.

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Year:  2008        PMID: 18978222     DOI: 10.1242/jeb.023317

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  23 in total

1.  Random sampling of skewed distributions implies Taylor's power law of fluctuation scaling.

Authors:  Joel E Cohen; Meng Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-07       Impact factor: 11.205

2.  Prediction of Clearance and Volume of Distribution in the Obese from Normal Weight Subjects : An Allometric Approach.

Authors:  Iftekhar Mahmood
Journal:  Clin Pharmacokinet       Date:  2012-08       Impact factor: 6.447

3.  Prediction of drug clearance in children: an evaluation of the predictive performance of several models.

Authors:  Iftekhar Mahmood; Carl-Michael Staschen; Kosalaram Goteti
Journal:  AAPS J       Date:  2014-10-02       Impact factor: 4.009

4.  Prediction of Clearance, Volume of distribution, and Half-life of Drugs in Extremely Low to Low Birth Weight Neonates: An Allometric Approach.

Authors:  Iftekhar Mahmood
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-08       Impact factor: 2.441

5.  Prediction of propofol clearance in children from an allometric model developed in rats, children and adults versus a 0.75 fixed-exponent allometric model.

Authors:  Mariska Y M Peeters; Karel Allegaert; Heleen J Blussé van Oud-Alblas; Massimo Cella; Dick Tibboel; Meindert Danhof; Catherijne A J Knibbe
Journal:  Clin Pharmacokinet       Date:  2010-04       Impact factor: 6.447

6.  Increased energy expenditure and leptin sensitivity account for low fat mass in myostatin-deficient mice.

Authors:  Sun Ju Choi; Zipora Yablonka-Reuveni; Karl J Kaiyala; Kayoko Ogimoto; Michael W Schwartz; Brent E Wisse
Journal:  Am J Physiol Endocrinol Metab       Date:  2011-03-22       Impact factor: 4.310

7.  Identification of body fat mass as a major determinant of metabolic rate in mice.

Authors:  Karl J Kaiyala; Gregory J Morton; Brian G Leroux; Kayoko Ogimoto; Brent Wisse; Michael W Schwartz
Journal:  Diabetes       Date:  2010-04-22       Impact factor: 9.461

Review 8.  Dosing in children: a critical review of the pharmacokinetic allometric scaling and modelling approaches in paediatric drug development and clinical settings.

Authors:  Iftekhar Mahmood
Journal:  Clin Pharmacokinet       Date:  2014-04       Impact factor: 6.447

9.  Prediction of glucuronidated drug clearance in pediatrics (≤5 years): An allometric approach.

Authors:  Iftekhar Mahmood
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2014-02-12       Impact factor: 2.441

10.  Prediction of Human Glomerular Filtration Rate from Preterm Neonates to Adults: Evaluation of Predictive Performance of Several Empirical Models.

Authors:  Iftekhar Mahmood; Carl-Michael Staschen
Journal:  AAPS J       Date:  2016-01-22       Impact factor: 4.009

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