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动物健康中的种群变异性:对剂量-暴露-反应关系的影响:第一部分:药物代谢与转运系统

Population variability in animal health: Influence on dose-exposure-response relationships: Part I: Drug metabolism and transporter systems.

作者信息

Martinez Marilyn N, Court Michael H, Fink-Gremmels Johanna, Mealey Katrina L

机构信息

Center for Veterinary Medicine, US Food and Drug Administration, Rockville, Maryland.

Program in Individualized Medicine, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, Washington.

出版信息

J Vet Pharmacol Ther. 2018 Aug;41(4):E57-E67. doi: 10.1111/jvp.12670. Epub 2018 Jun 19.

DOI:10.1111/jvp.12670
PMID:29917248
Abstract

There is an increasing effort to understand the many sources of population variability that can influence drug absorption, metabolism, disposition, and clearance in veterinary species. This growing interest reflects the recognition that this diversity can influence dose-exposure-response relationships and can affect the drug residues present in the edible tissues of food-producing animals. To appreciate the pharmacokinetic diversity that may exist across a population of potential drug product recipients, both endogenous and exogenous variables need to be considered. The American Academy of Veterinary Pharmacology and Therapeutics hosted a 1-day session during the 2017 Biennial meeting to explore the sources of population variability recognized to impact veterinary medicine. The following review highlights the information shared during that session. In Part I of this workshop report, we consider sources of population variability associated with drug metabolism and membrane transport. Part II of this report highlights the use of modeling and simulation to support an appreciation of the variability in dose-exposure-response relationships.

摘要

人们越来越努力去了解可能影响兽医物种药物吸收、代谢、处置和清除的多种种群变异性来源。这种日益增长的兴趣反映出人们认识到这种多样性会影响剂量-暴露-反应关系,并可能影响食用动物可食用组织中的药物残留。为了认识到潜在药物产品接受者群体中可能存在的药代动力学多样性,需要考虑内源性和外源性变量。美国兽医药理学与治疗学学会在2017年双年会上举办了为期1天的会议,以探讨已知会影响兽医学的种群变异性来源。以下综述突出了该会议期间分享的信息。在本研讨会报告的第一部分,我们考虑与药物代谢和膜转运相关的种群变异性来源。本报告的第二部分重点介绍了使用建模和模拟来帮助理解剂量-暴露-反应关系中的变异性。

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