Literature DB >> 6709979

A distinction must be made between the ontogeny and the phylogeny of metabolism in order to understand the mass exponent of energy metabolism.

W Wieser.   

Abstract

The discussion on the metabolism/body mass relationship in animals has been complicated, almost from the beginning, by a confusion between intra- and interspecific comparisons of energy metabolism. In this paper I argue that the ontogeny of metabolism is a complex process in which several phases can be distinguished, each with a specific metabolism/body mass relationship. In vertebrates at least the longest of these phases, encompassing the best part of adulthood, appears to follow the 'surface rule' of metabolism. According to this rule aerobic power (En) can be described by the equation En = an X M0.66 in which 'an' is the specific mass coefficient which itself depends on adult body mass according to the equation an = a X M0.09. Since, in a series of related species, the specific mass coefficient, an = En/M0.66, increases with body mass in a systematic manner, it follows that adult metabolism of these species can be described by a second function, E = a X M0.75, in which 'a' is the interspecific mass coefficient (3.34 W in mammals if M is in kg). This function represents the phylogeny of metabolism which can be interpreted only within an evolutionary context and not by introducing new parameters into Rubner's 'surface rule'.

Mesh:

Year:  1984        PMID: 6709979     DOI: 10.1016/0034-5687(84)90112-9

Source DB:  PubMed          Journal:  Respir Physiol        ISSN: 0034-5687


  14 in total

1.  Ontogenetic phase shifts in metabolism: links to development and anti-predator adaptation.

Authors:  Mitsuharu Yagi; Takeshi Kanda; Tatsusuke Takeda; Atsushi Ishimatsu; Shin Oikawa
Journal:  Proc Biol Sci       Date:  2010-05-05       Impact factor: 5.349

2.  Circulation, metabolic rate, and body size in mammals.

Authors:  H C Spatz
Journal:  J Comp Physiol B       Date:  1991       Impact factor: 2.200

3.  Relationship between metabolic rate in vitro and body mass in a marine teleost, porgy Pagrus major.

Authors:  S Oikawa; Y Itazawa
Journal:  Fish Physiol Biochem       Date:  1992-10       Impact factor: 2.794

4.  A new look at energy conversion in ectothermic and endothermic animals.

Authors:  W Wieser
Journal:  Oecologia       Date:  1985-07       Impact factor: 3.225

5.  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

Review 6.  Normalisation of anti-cancer drug dosage using body weight and surface area: is it worthwhile? A review of theoretical and practical considerations.

Authors:  J J Reilly; P Workman
Journal:  Cancer Chemother Pharmacol       Date:  1993       Impact factor: 3.333

7.  Endogenous content and release of [(3)H]-GABA and [(3)H]-glutamate in the spinal cord of chronically undernourished rat.

Authors:  Salvador Quiróz-González; Rodrigo Erick Escartín-Pérez; Francisco Paz-Bermudez; Bertha Segura-Alegría; Celia Reyes-Legorreta; José Carlos Guadarrama-Olmos; Benjamin Florán-Garduño; Ismael Jiménez-Estrada
Journal:  Neurochem Res       Date:  2012-09-15       Impact factor: 3.996

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.