Literature DB >> 28456729

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

Kenta Yoshida1, Ping Zhao2, Lei Zhang2, Darrell R Abernethy2, Dinko Rekić2, Kellie S Reynolds2, Aleksandra Galetin3, Shiew-Mei Huang4.   

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. Published by Elsevier Inc.

Entities:  

Keywords:  cytochrome P450s; drug interaction; guidance/guideline; membrane transport/transporters; regulatory

Mesh:

Substances:

Year:  2017        PMID: 28456729     DOI: 10.1016/j.xphs.2017.04.045

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  18 in total

1.  A Challenge for Clinical Pharmacologists: How Can We Measure Scientific Impact of Publications in Drug Development and in Regulatory Decision Making?

Authors:  Virginia D Schmith; Kellie Schoolar Reynolds; Kim L R Brouwer; Paolo Vicini
Journal:  Clin Pharmacol Ther       Date:  2018-11-11       Impact factor: 6.875

2.  Why Drugs Fail in Late Stages of Development: Case Study Analyses from the Last Decade and Recommendations.

Authors:  Dolly A Parasrampuria; Leslie Z Benet; Amarnath Sharma
Journal:  AAPS J       Date:  2018-03-13       Impact factor: 4.009

3.  Inhibition of Cytochrome P450s by Strobilanthes crispus Sub-Fraction (F3): Implication for Herb-Drug Interaction.

Authors:  Ya Fen Yong; Mervyn Wing On Liew; Nik Soriani Yaacob
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2022-02-11       Impact factor: 2.441

4.  In Vitro Assessment of Transporter Mediated Perpetrator DDIs for Several Hepatitis C Virus Direct-Acting Antiviral Drugs and Prediction of DDIs with Statins Using Static Models.

Authors:  Xiaoyan Chu; Grace Hoyee Chan; Robert Houle; Meihong Lin; Jocelyn Yabut; Christine Fandozzi
Journal:  AAPS J       Date:  2022-03-21       Impact factor: 4.009

5.  Transporters in Regulatory Science: Notable Contributions from Dr. Giacomini in the Past Two Decades.

Authors:  Lei Zhang; Qi Liu; Shiew-Mei Huang; Robert Lionberger
Journal:  Drug Metab Dispos       Date:  2022-06-29       Impact factor: 3.579

Review 6.  Multi-factorial pharmacokinetic interactions: unraveling complexities in precision drug therapy.

Authors:  Baron Bechtold; John Clarke
Journal:  Expert Opin Drug Metab Toxicol       Date:  2021-01-20       Impact factor: 4.481

7.  Population pharmacokinetic modeling and simulation to support qualification of pyridoxic acid as endogenous biomarker of OAT1/3 renal transporters.

Authors:  Amais Ahmad; Kayode Ogungbenro; Annett Kunze; Frank Jacobs; Jan Snoeys; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-05-01

8.  A Novel Physiologically Based Model of Creatinine Renal Disposition to Integrate Current Knowledge of Systems Parameters and Clinical Observations.

Authors:  Daniel Scotcher; Vikram Arya; Xinning Yang; Ping Zhao; Lei Zhang; Shiew-Mei Huang; Amin Rostami-Hodjegan; Aleksandra Galetin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-05-22

Review 9.  Emerging Role of Organ-on-a-Chip Technologies in Quantitative Clinical Pharmacology Evaluation.

Authors:  Nina Isoherranen; Rajanikanth Madabushi; Shiew-Mei Huang
Journal:  Clin Transl Sci       Date:  2019-03       Impact factor: 4.689

Review 10.  Interpretation of Drug Interaction Using Systemic and Local Tissue Exposure Changes.

Authors:  Young Hee Choi
Journal:  Pharmaceutics       Date:  2020-05-02       Impact factor: 6.321

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.