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药效动力学-药代动力学整合作为药物化学的指导。

Pharmacodynamic-pharmacokinetic integration as a guide to medicinal chemistry.

机构信息

Discovery DMPK & BAC, Lead Generation and Medicinal Chemistry, AstraZeneca R&D Mölndal, S-43183 Mölndal, Sweden.

出版信息

Curr Top Med Chem. 2011;11(4):404-18. doi: 10.2174/156802611794480864.

Abstract

A primary objective of pharmacokinetic-pharmacodynamic (PKPD) reasoning is to identify key in vivo drug and system proper¬ties, enabling prediction of the magnitude and time course of drug responses under physiological and pathological conditions in animals and man. Since the pharmacological response generated by a drug is highly dependent on the actual system used to study its action, knowledge about its potency and efficacy at a given concentration or dose is insufficient to obtain a proper understanding of its pharmacodynamic profile. Hence, the output of PKPD activities extends beyond the provision of quantitative measures (models) of results, to the design of future protocols. Furthermore, because PKPD integrates DMPK (e.g. clearance) and pharmacology (e.g. potency),it provides an anchor point for compound selection, and, as such, should be viewed as an important weapon in medicinal chemistry. Here we outline key PK concepts relevant to PD, and then consider real-life experiments to illustrate the importance to the medicinal chemist of data obtained by PKPD. Useful assumptions and potential pitfalls are described, providing a holistic view of the plethora of determinants behind in vitro-in vivo correlations. By condensing complexity to simplicity, there are not only consequences for experimental design, and for the ranking and design of compounds, but it is also possible to make important predictions such as the impact of changes in drug potency and kinetics. In short, by using quantitative methods to tease apart pharmacodynamic complexities such as temporal differences and changes in plasma protein binding, it is possible to target the changes necessary for improving a compound's profile.

摘要

药代动力学-药效动力学(PKPD)推理的主要目标之一是确定关键的体内药物和系统特性,从而能够预测药物在动物和人体内生理和病理条件下的反应幅度和时间过程。由于药物产生的药理反应高度依赖于用于研究其作用的实际系统,因此仅了解给定浓度或剂量下的药物效力和效价不足以正确理解其药效学特征。因此,PKPD 活动的结果不仅提供了结果的定量衡量(模型),还扩展到了未来方案的设计。此外,由于 PKPD 整合了 DMPK(例如清除率)和药理学(例如效力),它为化合物选择提供了一个锚点,因此应被视为药物化学的重要工具。在这里,我们概述了与 PD 相关的关键 PK 概念,然后考虑实际实验来说明 PKPD 获得的数据对药物化学家的重要性。描述了有用的假设和潜在的陷阱,为体外 - 体内相关性背后的大量决定因素提供了整体观点。通过将复杂性简化为简单性,不仅对实验设计和化合物的排名和设计有影响,而且还可以进行重要的预测,例如药物效力和动力学变化的影响。简而言之,通过使用定量方法来梳理药效学的复杂性,例如时间差异和血浆蛋白结合的变化,就有可能针对改善化合物特征所需的变化进行靶向。

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