Literature DB >> 20211755

The nasty surprise of a complex drug-drug interaction.

Chris Bode1.   

Abstract

In vitro investigation of pharmacokinetic drug-drug interactions (DDIs) has officially been part of the regulatory pathway for new drugs in the USA since the publication of an FDA guidance on the subject in 1997. The field has continued to evolve, driven by preclinical and clinical experience, improved understanding of the molecular basis of DDIs, technological advances, and a continuous dialogue between the FDA and pharmaceutical industry scientists. Some striking DDIs involve multiple molecular species and targets; their mechanisms and magnitude would have been difficult or impossible to predict with available in vitro tools. This article focuses on one such example. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20211755     DOI: 10.1016/j.drudis.2010.02.013

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  6 in total

1.  Using chimeric mice with humanized livers to predict human drug metabolism and a drug-drug interaction.

Authors:  Toshihiko Nishimura; Toshiko Nishimura; Yajing Hu; Manhong Wu; Edward Pham; Hiroshi Suemizu; Menashe Elazar; Michael Liu; Ramazan Idilman; Cihan Yurdaydin; Peter Angus; Catherine Stedman; Brian Murphy; Jeffrey Glenn; Masato Nakamura; Tatsuji Nomura; Yuan Chen; Ming Zheng; William L Fitch; Gary Peltz
Journal:  J Pharmacol Exp Ther       Date:  2012-11-08       Impact factor: 4.030

2.  An S-warfarin and AZD1981 interaction: in vitro and clinical pilot data suggest the N-deacetylated amino acid metabolite as the primary perpetrator.

Authors:  Ken Grime; Rikard Pehrson; Pär Nordell; Michael Gillen; Wolfgang Kühn; Timothy Mant; Marie Brännström; Petter Svanberg; Barry Jones; Clive Brealey
Journal:  Br J Clin Pharmacol       Date:  2016-10-13       Impact factor: 4.335

3.  Probing Mechanisms of CYP3A Time-Dependent Inhibition Using a Truncated Model System.

Authors:  Xiaojing Wang; Minghua Sun; Connie New; Spencer Nam; Wesley P Blackaby; Alastair J Hodges; David Nash; Mizio Matteucci; Joseph P Lyssikatos; Peter W Fan; Suzanne Tay; Jae H Chang
Journal:  ACS Med Chem Lett       Date:  2015-07-12       Impact factor: 4.345

4.  Can 'humanized' mice improve drug development in the 21st century?

Authors:  Gary Peltz
Journal:  Trends Pharmacol Sci       Date:  2013-04-19       Impact factor: 14.819

5.  Machine learning-driven identification of drugs inhibiting cytochrome P450 2C9.

Authors:  Elodie Goldwaser; Catherine Laurent; Nathalie Lagarde; Sylvie Fabrega; Laure Nay; Bruno O Villoutreix; Christian Jelsch; Arnaud B Nicot; Marie-Anne Loriot; Maria A Miteva
Journal:  PLoS Comput Biol       Date:  2022-01-26       Impact factor: 4.475

6.  Comparing two types of macrolide antibiotics for the purpose of assessing population-based drug interactions.

Authors:  Jamie L Fleet; Salimah Z Shariff; David G Bailey; Sonja Gandhi; David N Juurlink; Danielle M Nash; Muhammad Mamdani; Tara Gomes; Amit M Patel; Amit X Garg
Journal:  BMJ Open       Date:  2013-07-11       Impact factor: 2.692

  6 in total

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