Literature DB >> 26265742

Defining Human Pathways of Drug Metabolism In Vivo through the Development of a Multiple Humanized Mouse Model.

Nico Scheer1, Yury Kapelyukh1, Anja Rode1, Stefan Oswald1, Diana Busch1, Lesley A McLaughlin1, De Lin1, Colin J Henderson1, C Roland Wolf2.   

Abstract

Variability in drug pharmacokinetics is a major factor in defining drug efficacy and side effects. There remains an urgent need, particularly with the growing use of polypharmacy, to obtain more informative experimental data predicting clinical outcomes. Major species differences in multiplicity, substrate specificity, and regulation of enzymes from the cytochrome P450-dependent mono-oxygenase system play a critical role in drug metabolism. To develop an in vivo model for predicting human responses to drugs, we generated a mouse, where 31 P450 genes from the Cyp2c, Cyp2d, and Cyp3a gene families were exchanged for their relevant human counterparts. The model has been improved through additional humanization for the nuclear receptors constitutive androgen receptor and pregnane X receptor that control the expression of key drug metabolizing enzymes and transporters. In this most complex humanized mouse model reported to date, the cytochromes P450 function as predicted and we illustrate how these mice can be applied to predict drug-drug interactions in humans.
Copyright © 2015 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2015        PMID: 26265742     DOI: 10.1124/dmd.115.065656

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  6 in total

Review 1.  P450-Humanized and Human Liver Chimeric Mouse Models for Studying Xenobiotic Metabolism and Toxicity.

Authors:  Karl-Dimiter Bissig; Weiguo Han; Mercedes Barzi; Nataliia Kovalchuk; Liang Ding; Xiaoyu Fan; Francis P Pankowicz; Qing-Yu Zhang; Xinxin Ding
Journal:  Drug Metab Dispos       Date:  2018-08-09       Impact factor: 3.922

Review 2.  Preclinical models of idiosyncratic drug-induced liver injury (iDILI): Moving towards prediction.

Authors:  Antonio Segovia-Zafra; Daniel E Di Zeo-Sánchez; Carlos López-Gómez; Zeus Pérez-Valdés; Eduardo García-Fuentes; Raúl J Andrade; M Isabel Lucena; Marina Villanueva-Paz
Journal:  Acta Pharm Sin B       Date:  2021-11-18       Impact factor: 11.413

Review 3.  Combining Chimeric Mice with Humanized Liver, Mass Spectrometry, and Physiologically-Based Pharmacokinetic Modeling in Toxicology.

Authors:  Hiroshi Yamazaki; Hiroshi Suemizu; Marina Mitsui; Makiko Shimizu; F Peter Guengerich
Journal:  Chem Res Toxicol       Date:  2016-07-05       Impact factor: 3.739

Review 4.  PXR-mediated idiosyncratic drug-induced liver injury: mechanistic insights and targeting approaches.

Authors:  Jingheng Wang; Monicah Bwayi; Rebecca R Florke Gee; Taosheng Chen
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-06-16       Impact factor: 4.481

5.  Identifying Rodent Resting-State Brain Networks with Independent Component Analysis.

Authors:  Dusica Bajic; Michael M Craig; Chandler R L Mongerson; David Borsook; Lino Becerra
Journal:  Front Neurosci       Date:  2017-12-12       Impact factor: 4.677

6.  An Extensively Humanized Mouse Model to Predict Pathways of Drug Disposition and Drug/Drug Interactions, and to Facilitate Design of Clinical Trials.

Authors:  C J Henderson; Y Kapelyukh; N Scheer; A Rode; A W McLaren; A K MacLeod; D Lin; J Wright; L A Stanley; C R Wolf
Journal:  Drug Metab Dispos       Date:  2019-03-25       Impact factor: 3.922

  6 in total

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