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Organ-Tissue Level Model of Resting Energy Expenditure Across Mammals: New Insights into Kleiber's Law
Author(s) -
ZiMian Wang,
Junyi Zhang,
Zhiliang Ying,
Steven B. Heymsfield
Publication year - 2012
Publication title -
isrn zoology
Language(s) - English
Resource type - Journals
eISSN - 2090-5238
pISSN - 2090-522X
DOI - 10.5402/2012/673050
Subject(s) - algorithm , artificial intelligence , computer science , chemistry
Background. Kleiber’s law describes the quantitative association between whole-body resting energy expenditure (REE, in kcal/d) and body mass ( M , in kg) across mature mammals as REE = 70.0 × M 0.75 . The basis of this empirical function is uncertain. Objectives. The study objective was to establish an organ-tissue level REE model across mammals and to explore the body composition and physiologic basis of Kleiber’s law. Design. We evaluated the hypothesis that REE in mature mammals can be predicted by a combination of two variables: the mass of individual organs/tissues and their corresponding specific resting metabolic rates. Data on the mass of organs with high metabolic rate (i.e., liver, brain, heart, and kidneys) for 111 species ranging in body mass from 0.0075 (shrew) to 6650 kg (elephant) were obtained from a literature review. Results.REE ppredicted by the organ-tissue level model was correlated with body mass (correlation r = 0.9975 ) and resulted in the functionREE p = 66.33 × M 0.754 , with a coefficient and scaling exponent, respectively, close to 70.0 and 0.75 ( P > 0.05 ) as observed by Kleiber. There were no differences betweenREE pandREE kcalculated by Kleiber’s law;REE pwas correlated ( r = 0.9994 ) withREE k. The mass-specificREE p, that is,( REE / M ) p, was correlated with body mass ( r = 0.9779 ) with a scaling exponent −0.246, close to −0.25 as observed with Kleiber’s law. Conclusion. Our findings provide new insights into the organ/tissue energetic components of Kleiber’s law. The observed large rise in REE and lowering of REE/ M from shrew to elephant can be explained by corresponding changes in organ/tissue mass and associated specific metabolic rate.

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