DMPK, IVIVT, GlaxoSmithKline R&D, Stevenage, United Kingdom.
Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, United Kingdom.
Curr Drug Metab. 2021;22(7):523-531. doi: 10.2174/1389200221999210101233340.
Membrane transporters play an important role in intestinal absorption, distribution and clearance of drugs. Additionally transporters along with enzymes regulate tissue exposures (e.g. liver, kidney and brain), which are important for safety and efficacy considerations. Early identification of transporters involved guides generation of in vitro and in vivo data needed to gain mechanistic understanding on the role of transporters in organ clearance, tissue exposures and enables development of physiological-based pharmacokinetic (PBPK) models. A lot of progress has been made in developing several in vitro assay systems and mechanistic in silico models to determine kinetic parameters for transporters, which are incorporated into PBPK models. Although, intrinsic clearance and inhibition data from in vitro systems generally tend to underpredict in vivo clearance and magnitude of drug-drug interactions (DDIs), empirical scaling factors derived from a sizable dataset are often used to offset underpredictions. PBPK models are increasing used to predict the impact of transporters on intestinal absorption, clearance, victim and perpetrator DDIs prior to first in human clinical trials. The models are often refined when clinical data is available and are used to predict pharmacokinetics in untested scenarios such as the impact of polymorphisms, ontogeny, ethnicity, disease states and DDIs with other perpetrator drugs. The aim of this review is to provide an overview of (i) regulatory requirements around transporters, (ii) in vitro systems and their limitations in predicting transporter mediated drug disposition and DDIs, (iii) PBPK modelling tactics and case studies used for internal decision making and/or for regulatory submissions.
膜转运蛋白在药物的肠道吸收、分布和清除中起着重要作用。此外,转运体与酶一起调节组织暴露(如肝脏、肾脏和大脑),这对于安全性和疗效考虑至关重要。早期识别参与的转运体有助于生成体外和体内数据,从而获得对转运体在器官清除、组织暴露中的作用的机制理解,并能够开发基于生理学的药代动力学(PBPK)模型。在开发用于确定转运体动力学参数的几种体外测定系统和机制计算模型方面已经取得了很大进展,这些模型被纳入 PBPK 模型。尽管来自体外系统的内在清除率和抑制数据通常倾向于低估体内清除率和药物相互作用(DDI)的程度,但通常使用来自大量数据集的经验缩放因子来抵消低估。在人体临床试验之前,PBPK 模型越来越多地用于预测转运体对肠道吸收、清除、受害者和肇事者 DDI 的影响。当有临床数据时,这些模型通常会得到改进,并用于预测未经验证的情况下的药代动力学,例如多态性、个体发生、种族、疾病状态和与其他肇事者药物的 DDI 的影响。本综述的目的是概述(i)转运体的监管要求,(ii)体外系统及其在预测转运体介导的药物处置和 DDI 方面的局限性,(iii)用于内部决策和/或监管提交的 PBPK 建模策略和案例研究。