Gabrielsson Johan, Green A Richard, Van der Graaf Piet H
PKPD Section, Drug discovery DMPK & BAC, CVGI, AstraZeneca R&D Mölndal, S-43183 Mölndal, Sweden.
J Pharmacol Toxicol Methods. 2010 Mar-Apr;61(2):146-56. doi: 10.1016/j.vascn.2010.02.002. Epub 2010 Feb 11.
It has become apparent in recent years that there is a need for a substantial improvement in the processes used to clarify the inter-relationships between a compound's pharmacokinetic (PK) characteristics, its target actions and its safety profile. This is particularly challenging because most of the techniques currently used to obtain meaningful data involve low efficiency animal studies. To maximize the value of such in vivo studies, time and resources need to be better utilized. One way of making major advances is to adopt an integrative approach to designing and analysing in vivo pharmacodynamic (PD) studies. In this paper we address experimental design issues related to maximizing the information content about target engagement. Refined integration of PK and PD (known as 'quantitative pharmacology' or a PKPD approach) is advocated, enabling clarification of the interdependence of a drug's pharmacological properties on its target physiological system(s) and its systemic exposure characteristics.
Several in vivo pharmacological Case Studies are presented which are used to illustrate the discussion of issues of experimental design. The impact of rate, extent and mode of administration is discussed from a pharmacological viewpoint, and we examine the consequences of temporal differences between concentration and response from the perspective of experimental design. We also consider the importance of differences in plasma protein binding (PPB) on our ability to assess a pharmacodynamic property or safety margin, and examine the usefulness of measuring ex vivo PPB. Finally, we outline the value of implementing a clearly pre-determined, integrated work flow to generate, validate and maximize in vivo PKPD or preclinical disease model data, and summarize the key issues of experimental design.
Quantitative pharmacological reasoning focuses on concentration-response and response-time relationships with special emphasis on the impact of drugs on disease (Levy, 1993) and this perspective was written to raise awareness among in vivo scientists as to why PKPD integration is essential in their studies.
近年来,日益明显的是,用于阐明化合物的药代动力学(PK)特征、其靶标作用及其安全性概况之间相互关系的过程需要大幅改进。这尤其具有挑战性,因为目前用于获取有意义数据的大多数技术都涉及效率低下的动物研究。为了使此类体内研究的价值最大化,需要更好地利用时间和资源。取得重大进展的一种方法是采用综合方法来设计和分析体内药效学(PD)研究。在本文中,我们讨论与最大化靶标参与信息含量相关的实验设计问题。提倡对PK和PD进行精细整合(称为“定量药理学”或PKPD方法),从而能够阐明药物的药理特性对其靶标生理系统及其全身暴露特征的相互依赖性。
本文介绍了几个体内药理学案例研究,用于说明对实验设计问题的讨论。从药理学角度讨论给药速率、程度和方式的影响,并且我们从实验设计的角度研究浓度与反应之间时间差异的后果。我们还考虑血浆蛋白结合(PPB)差异对我们评估药效学特性或安全边际能力的重要性,并研究测量体外PPB的有用性。最后,我们概述实施明确预先确定的综合工作流程以生成、验证和最大化体内PKPD或临床前疾病模型数据的价值,并总结实验设计的关键问题。
定量药理学推理侧重于浓度-反应和反应-时间关系,特别强调药物对疾病的影响(Levy,1993),并且撰写此观点是为了提高体内科学家对PKPD整合在其研究中为何至关重要的认识。