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在正确的时间研究正确的转运体:一种在药物发现和开发期间评估药物-药物相互作用风险的策略。

Studying the right transporter at the right time: an strategy for assessing drug-drug interaction risk during drug discovery and development.

机构信息

Drug Transporter Sciences, Cyprotex Discovery Ltd (an Evotec company), Alderley Park, Macclesfield, UK.

ADME Sciences, Cyprotex Discovery Ltd (an Evotec company), Alderley Park, Macclesfield, UK.

出版信息

Expert Opin Drug Metab Toxicol. 2022 Oct;18(10):619-655. doi: 10.1080/17425255.2022.2132932. Epub 2022 Nov 1.

DOI:10.1080/17425255.2022.2132932
PMID:36205497
Abstract

INTRODUCTION

Transporters are significant in dictating drug pharmacokinetics, thus inhibition of transporter function can alter drug concentrations resulting in drug-drug interactions (DDIs). Because they can impact drug toxicity, transporter DDIs are a regulatory concern for which prediction of clinical effect from data is critical to understanding risk.

AREA COVERED

The authors propose strategies to assist mitigating/removing transporter DDI risk during development by frontloading specific studies, or managing patient risk in the clinic. An overview of clinically relevant drug transporters and observed DDIs is provided, alongside presentation of key considerations/recommendations for study design evaluating drugs as inhibitors or substrates. Guidance on identifying critical co-medications, clinically relevant disposition pathways, and using mechanistic static equations for quantitative prediction of DDI is compiled.

EXPERT OPINION

The strategies provided will facilitate project teams to study the right transporter at the right time to minimize development risks associated with DDIs. To truly alleviate or manage clinical risk, the industry will benefit from moving away from current basic static equation approaches to transporter DDI hazard assessment towards adopting the use of mechanistic models to enable DDI prediction, thereby contextualizing risk to ascertain whether a transporter DDI is simply pharmacokinetic or clinically significant requiring intervention.

摘要

简介

转运蛋白在决定药物药代动力学方面具有重要意义,因此转运蛋白功能的抑制可能会改变药物浓度,从而导致药物-药物相互作用(DDI)。由于它们可能会影响药物毒性,因此转运体 DDI 是监管关注的问题,从数据预测临床效果对于了解风险至关重要。

涵盖领域

作者提出了一些策略,通过前置特定研究来减轻/消除药物开发过程中的转运体 DDI 风险,或在临床中管理患者的风险。本文概述了临床相关的药物转运体和观察到的 DDI,并介绍了评估作为抑制剂或底物的药物的研究设计的关键注意事项/建议。还编译了关于识别关键伴随药物、临床相关处置途径以及使用机械静态方程进行 DDI 定量预测的指南。

专家意见

提供的策略将有助于项目团队在正确的时间研究正确的转运体,以最大程度地降低与 DDI 相关的开发风险。为了真正减轻或管理临床风险,行业将受益于从当前基本的静态方程方法向采用机械模型来进行 DDI 预测的方法转变,从而使风险背景化,以确定转运体 DDI 是否仅是药代动力学的,还是需要干预的临床显著的。

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Mechanistic in vitro studies indicate that the clinical drug-drug interactions between protease inhibitors and rosuvastatin are driven by inhibition of intestinal BCRP and hepatic OATP1B1 with minimal contribution from OATP1B3, NTCP and OAT3.机制体外研究表明,蛋白酶抑制剂与瑞舒伐他汀之间的临床药物相互作用是由肠道 BCRP 和肝脏 OATP1B1 的抑制驱动的,而 OATP1B3、NTCP 和 OAT3 的贡献很小。
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