In Vitro–In Vivo Extrapolation of Metabolism- and Transporter-Mediated Drug–Drug Interactions—Overview of Basic Prediction Methods

Kenta Yoshida, Ping Zhao, Lei Zhang, Darrell R. Abernethy, Dinko Rekić, Kellie S. Reynolds, Aleksandra Galetin, Shiew Mei Huang

Research output: Contribution to journalComment/debatepeer-review

33 Scopus citations

Abstract

Evaluation of drug–drug interaction (DDI) risk is vital to establish benefit–risk profiles of investigational new drugs during drug development. In vitro experiments are routinely conducted as an important first step to assess metabolism- and transporter-mediated DDI potential of investigational new drugs. Results from these experiments are interpreted, often with the aid of in vitro–in vivo extrapolation methods, to determine whether and how DDI should be evaluated clinically to provide the basis for proper DDI management strategies, including dosing recommendations, alternative therapies, or contraindications under various DDI scenarios and in different patient population. This article provides an overview of currently available in vitro experimental systems and basic in vitro–in vivo extrapolation methodologies for metabolism- and transporter-mediated DDIs.

Original languageEnglish (US)
Pages (from-to)2209-2213
Number of pages5
JournalJournal of Pharmaceutical Sciences
Volume106
Issue number9
DOIs
StatePublished - Sep 2017

Keywords

  • cytochrome P450s
  • drug interaction
  • guidance/guideline
  • membrane transport/transporters
  • regulatory

ASJC Scopus subject areas

  • Pharmaceutical Science

Fingerprint

Dive into the research topics of 'In Vitro–In Vivo Extrapolation of Metabolism- and Transporter-Mediated Drug–Drug Interactions—Overview of Basic Prediction Methods'. Together they form a unique fingerprint.

Cite this