Literature DB >> 3775081

Biological basis for extrapolation across mammalian species.

I W Davidson, J C Parker, R P Beliles.   

Abstract

The rationale for extrapolation or "scaling" across species is founded in the commonality of anatomic characteristics and the universality of physiologic functions and biochemical reactions. The development of the allometric equation, Y = aWn, relating species body size (W) with various morphological, physiological, biochemical, pharmacological, and toxicological characteristics, as the fundamental basis for extrapolation of biological data from laboratory animals to man is outlined. The familiar methods of extrapolation on the basis of "milligrams per kilogram body weight" and "body surface area" are simply examples, W1.0 and W0.67, respectively, of this equation. The experimental observations used to support these two, and other extrapolation bases, are reviewed. Criteria for the selection of an appropriate base for transfer of specific biologic data from laboratory animals to man, and the expected reliability of the extrapolation, are discussed with the enunciation of four guiding principles. The application of these principles to the extrapolation to man of dose-tumor incidence data from carcinogenicity bioassays of laboratory animals is discussed. The components are identified, and illustrative examples are given.

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Year:  1986        PMID: 3775081     DOI: 10.1016/0273-2300(86)90014-0

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  20 in total

Review 1.  The closed chamber technique--uptake, endogenous production, excretion, steady-state kinetics and rates of metabolism of gases and vapors.

Authors:  J G Filser
Journal:  Arch Toxicol       Date:  1992       Impact factor: 5.153

2.  Scaling toxicity data across species.

Authors:  W R Chappell
Journal:  Environ Geochem Health       Date:  1992-10       Impact factor: 4.609

3.  Instructions for producing a mouse model of glucocorticoid-induced osteoporosis.

Authors:  Sylvia Thiele; Ulrike Baschant; Alexander Rauch; Martina Rauner
Journal:  Bonekey Rep       Date:  2014-07-02

4.  Epidemiology and quantitative risk assessment: a bridge from science to policy.

Authors:  I Hertz-Picciotto
Journal:  Am J Public Health       Date:  1995-04       Impact factor: 9.308

Review 5.  5,6-dimethylxanthenone-4-acetic acid (DMXAA): a new biological response modifier for cancer therapy.

Authors:  Shufeng Zhou; Philip Kestell; Bruce C Baguley; James W Paxton
Journal:  Invest New Drugs       Date:  2002-08       Impact factor: 3.850

6.  Mercury toxicokinetics in Wistar rats exposed to elemental mercury vapour: modeling and computer simulation.

Authors:  I Falnoga; A Mrhar; R Karba; P Stegnar; M Skreblin; M Tusek-Znidaric
Journal:  Arch Toxicol       Date:  1994       Impact factor: 5.153

7.  Species-specific pharmacokinetics of styrene in rat and mouse.

Authors:  J G Filser; U Schwegler; G A Csanády; H Greim; P E Kreuzer; W Kessler
Journal:  Arch Toxicol       Date:  1993       Impact factor: 5.153

Review 8.  Psychostimulants and cognition: a continuum of behavioral and cognitive activation.

Authors:  Suzanne Wood; Jennifer R Sage; Tristan Shuman; Stephan G Anagnostaras
Journal:  Pharmacol Rev       Date:  2013-12-16       Impact factor: 25.468

9.  Contributing factors of temozolomide resistance in MCF-7 tumor xenograft models.

Authors:  Yoshinori Kato; Baasil Okollie; Venu Raman; Farhad Vesuna; Ming Zhao; Sharyn D Baker; Zaver M Bhujwalla; Dmitri Artemov
Journal:  Cancer Biol Ther       Date:  2007-03-05       Impact factor: 4.742

10.  Establishing realistic exposure estimates of solitary bee larvae via pollen for use in risk assessment.

Authors:  Tobias Pamminger; Christof Schneider; Raffael Maas; Matthias Bergtold
Journal:  Integr Environ Assess Manag       Date:  2021-09-16       Impact factor: 3.084

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