Accuracy of allometrically predicted pharmacokinetic parameters in humans: Role of species selection

Huadong Tang, Michael Mayersohn

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

A general equation was derived, which directly describes the mathematical relationship between the allometrically predicted pharmacokinetic (PK) parameters in humans and the body weights of animal species (along with their corresponding measured PK parameters). It was shown, with use of the derived equation, that the predicted values in humans, based on combinations of animal species commonly used in allometry, are heavily dependent on certain species, for example, the dog. In contrast, parameter values from the rat made no contribution to the predicted human values, as long as the rat was not the smallest species used. Monte Carlo simulations were further performed to examine the species or weight dependence. The cost-effective combinations of animal species, in terms of number and species type, were theoretically examined through simulations. Finally, literature data demonstrated the species or weight dependence predicted from the equation and as illustrated through the Monte Carlo simulations. Appreciation of this species or weight dependence should guide researchers in selecting animal species and designing optimal experiments in the application of allometric scaling.

Original languageEnglish (US)
Pages (from-to)1288-1293
Number of pages6
JournalDrug Metabolism and Disposition
Volume33
Issue number9
DOIs
StatePublished - Sep 1 2005

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ASJC Scopus subject areas

  • Pharmacology
  • Pharmaceutical Science

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