Literature DB >> 23845026

Genetically humanized mouse models of drug metabolizing enzymes and transporters and their applications.

Nico Scheer1, C Roland Wolf.   

Abstract

1. Drug metabolizing enzymes and transporters play important roles in the absorption, metabolism, tissue distribution and excretion of various compounds and their metabolites and thus can significantly affect their efficacy and safety. Furthermore, they can be involved in drug-drug interactions which can result in adverse responses, life-threatening toxicity or impaired efficacy. Significant species differences in the interaction of compounds with drug metabolizing enzymes and transporters have been described. 2. In order to overcome the limitation of animal models in accurately predicting human responses, a large variety of mouse models humanized for drug metabolizing enzymes and to a lesser extent drug transporters have been created. 3. This review summarizes the literature describing these mouse models and their key applications in studying the role of drug metabolizing enzymes and transporters in drug bioavailability, tissue distribution, clearance and drug-drug interactions as well as in human metabolite testing and risk assessment. 4. Though such humanized mouse models have certain limitations, there is great potential for their use in basic research and for testing and development of new medicines. These limitations and future potentials will be discussed.

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Year:  2013        PMID: 23845026     DOI: 10.3109/00498254.2013.815831

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  17 in total

Review 1.  Validation of ion channel targets.

Authors:  Aaron C Gerlach; Brett M Antonio
Journal:  Channels (Austin)       Date:  2015-11-10       Impact factor: 2.581

Review 2.  Transgenic mice and metabolomics for study of hepatic xenobiotic metabolism and toxicity.

Authors:  Frank J Gonzalez; Zhong-Ze Fang; Xiaochao Ma
Journal:  Expert Opin Drug Metab Toxicol       Date:  2015-04-02       Impact factor: 4.481

Review 3.  Preclinical mouse cancer models: a maze of opportunities and challenges.

Authors:  Chi-Ping Day; Glenn Merlino; Terry Van Dyke
Journal:  Cell       Date:  2015-09-24       Impact factor: 41.582

Review 4.  Predicting drug metabolism: experiment and/or computation?

Authors:  Johannes Kirchmair; Andreas H Göller; Dieter Lang; Jens Kunze; Bernard Testa; Ian D Wilson; Robert C Glen; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2015-04-24       Impact factor: 84.694

5.  Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR Database.

Authors:  Angelica Mazzolari; Avid M Afzal; Alessandro Pedretti; Bernard Testa; Giulio Vistoli; Andreas Bender
Journal:  ACS Med Chem Lett       Date:  2019-02-12       Impact factor: 4.345

Review 6.  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 7.  Animal models to study bile acid metabolism.

Authors:  Jianing Li; Paul A Dawson
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2018-05-18       Impact factor: 5.187

8.  Species Differences in Human and Rodent PEPT2-Mediated Transport of Glycylsarcosine and Cefadroxil in Pichia Pastoris Transformants.

Authors:  Feifeng Song; Yongjun Hu; Huidi Jiang; David E Smith
Journal:  Drug Metab Dispos       Date:  2016-11-11       Impact factor: 3.922

Review 9.  Aryl hydrocarbon receptor (AHR): "pioneer member" of the basic-helix/loop/helix per-Arnt-sim (bHLH/PAS) family of "sensors" of foreign and endogenous signals.

Authors:  Daniel W Nebert
Journal:  Prog Lipid Res       Date:  2017-06-09       Impact factor: 16.195

10.  In Vivo Imaging of Human MDR1 Transcription in the Brain and Spine of MDR1-Luciferase Reporter Mice.

Authors:  Kazuto Yasuda; Cynthia Cline; Yvonne S Lin; Rachel Scheib; Samit Ganguly; Ranjit K Thirumaran; Amarjit Chaudhry; Richard B Kim; Erin G Schuetz
Journal:  Drug Metab Dispos       Date:  2015-08-17       Impact factor: 3.922

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