Campus Units
Biomedical Sciences, Veterinary Diagnostic and Production Animal Medicine
Document Type
Article
Publication Version
Published Version
Publication Date
2017
Journal or Book Title
Journal of Veterinary Pharmacology and Therapeutics
DOI
10.1111/jvp.12473
Abstract
A common feature of human and veterinary pharmacokinetics is the importance of identifying and quantifying the key determinants of between-patient variability in drug disposition and effects. Some of these attributes are already well known to the field of human pharmacology such as bodyweight, age, or sex, while others are more specific to veterinary medicine, such as species, breed, and social behavior. Identification of these attributes has the potential to allow a better and more tailored use of therapeutic drugs both in companion and food-producing animals. Nonlinear mixed effects (NLME) have been purposely designed to characterize the sources of variability in drug disposition and response. The NLME approach can be used to explore the impact of population-associated variables on the relationship between drug administration, systemic exposure, and the levels of drug residues in tissues. The latter, while different from the method used by the US Food and Drug Administration for setting official withdrawal times (WT) can also be beneficial for estimating WT of approved animal drug products when used in an extralabel manner. Finally, NLME can also prove useful to optimize dosing schedules, or to analyze sparse data collected in situations where intensive blood collection is technically challenging, as in small animal species presenting limited blood volume such as poultry and fish.
Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Language
en
File Format
application/pdf
Recommended Citation
Bon, C.; Toutain, P. L.; Concordet, D.; Gehring, R.; Martin-Jimenez, T.; Smith, J.; Pelligand, L.; Martinez, M.; Whittem, T.; Riviere, J. E.; and Mochel, J. P., "Mathematical modeling and simulation in animal health. Part III: Using nonlinear mixed-effects to characterize and quantify variability in drug pharmacokinetics" (2017). Biomedical Sciences Publications. 49.
https://lib.dr.iastate.edu/bms_pubs/49
Included in
Comparative and Laboratory Animal Medicine Commons, Veterinary Toxicology and Pharmacology Commons
Comments
This article is published as Bon C, Toutain PL, Concordet D, et al. Mathematical modeling and simulation in animal health. Part III: Using nonlinear mixed-effects to characterize and quantify variability in drug pharmacokinetics. J vet Pharmacol Therap. 2017;00:1–13. doi: 10.1111/jvp.12473.