Literature DB >> 20007296

Down-regulation of liver drug-metabolizing enzymes in a murine model of chronic renal failure.

Mélina Dani1, Caroline Boisvert, Josée Michaud, Judith Naud, Stéphane Lefrançois, Francois A Leblond, Vincent Pichette.   

Abstract

Drug metabolism could be altered in patients with chronic renal failure (CRF). In rats, this phenomenon is related to a decrease in liver cytochrome P450 (P450) and phase II enzymes, particularly N-acetyltransferase 2 (NAT2). This study attempted to determine the effects of CRF on liver P450 isoforms and NAT2 expressions by using a CRF mouse model. Two groups of mice were studied: CRF induced by 3/4 nephrectomy and control. Liver protein expression and mRNA levels of the major P450 isoforms involved in drug metabolism (CYP1A2, 2C29, 2D, 2E1, and 3A11) and NAT2 were measured by Western blot and real-time polymerase chain reaction (PCR), respectively. CYP3A activity was also assessed by the N-demethylation of erythromycin. Results showed a significant reduction in the protein expression of CYP1A2 (56%), 2C29 (31%), and 3A11 (37%) in CRF mice compared with control animals. Real-time PCR revealed a similar reduction in mRNA levels of CYP1A2, 2C29, and 3A11 (59, 56, and 37%, respectively), in CRF mice. There was no significant modification in protein expression and mRNA of CYP2D and 2E1. Compared with control animals, CRF mice displayed a 25% reduction in N-demethylation of erythromycin. For NAT2, protein expression decreased by 33% and mRNA levels decreased by 23%. In conclusion, this study demonstrates that protein expression of liver CYP1A2, CYP2C29, and CYP3A11 is down-regulated in CRF mice, secondary to reduced gene expression. Phase II enzymes are similarly affected by CRF. Our results will allow the use of knockout mice to determine the mechanism underlying CRF-induced down-regulation of liver drug-metabolizing enzymes.

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Year:  2009        PMID: 20007296     DOI: 10.1124/dmd.109.029991

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


  9 in total

Review 1.  Consequences of renal failure on non-renal clearance of drugs.

Authors:  Laure Lalande; Bruno Charpiat; Gilles Leboucher; Michel Tod
Journal:  Clin Pharmacokinet       Date:  2014-06       Impact factor: 6.447

Review 2.  Complex Drug-Drug-Gene-Disease Interactions Involving Cytochromes P450: Systematic Review of Published Case Reports and Clinical Perspectives.

Authors:  Flavia Storelli; Caroline Samer; Jean-Luc Reny; Jules Desmeules; Youssef Daali
Journal:  Clin Pharmacokinet       Date:  2018-10       Impact factor: 6.447

Review 3.  Microbiota-derived uremic retention solutes: perpetrators of altered nonrenal drug clearance in kidney disease.

Authors:  Alexander J Prokopienko; Thomas D Nolin
Journal:  Expert Rev Clin Pharmacol       Date:  2017-09-20       Impact factor: 5.045

4.  Disrupted hepatic pentose phosphate pathway directly participates in and indirectly promotes CYP3A reduction: A new strategy for CYP3A-mediated drug hepatotoxicity.

Authors:  Jiali Liu; Xiaoliang Jin; Fang Zhou; Hongzhu Chen; Wenjie Wang; Yan Liu; Guangji Wang; Kun Hao; Jingwei Zhang
Journal:  Br J Pharmacol       Date:  2020-01-29       Impact factor: 8.739

5.  Multiomics analysis profile acute liver injury module clusters to compare the therapeutic efficacy of bifendate and muaddil sapra.

Authors:  Ainiwaer Talifu; Refuhati Saimaiti; Yusufu Maitinuer; Geyu Liu; Miernisha Abudureyimu; Xuelei Xin
Journal:  Sci Rep       Date:  2019-03-13       Impact factor: 4.379

6.  Influence of Renal Impairment and Genetic Subtypes on Warfarin Control in Japanese Patients.

Authors:  Tomotaka Tanaka; Masafumi Ihara; Kazuki Fukuma; Haruko Yamamoto; Kazuo Washida; Shunsuke Kimura; Akiko Kada; Shigeki Miyata; Toshiyuki Miyata; Kazuyuki Nagatsuka
Journal:  Genes (Basel)       Date:  2021-09-28       Impact factor: 4.096

7.  Use of Physiologically Based Pharmacokinetic Modeling to Evaluate the Impact of Chronic Kidney Disease on CYP3A4-Mediated Metabolism of Saxagliptin.

Authors:  Morgan A Butrovich; Weifeng Tang; David W Boulton; Thomas D Nolin; Pradeep Sharma
Journal:  J Clin Pharmacol       Date:  2022-04-04       Impact factor: 2.860

8.  Top Three Pharmacogenomics and Personalized Medicine Applications at the Nexus of Renal Pathophysiology and Cardiovascular Medicine.

Authors:  Murielle Bochud; Michel Burnier; Idris Guessous
Journal:  Curr Pharmacogenomics Person Med       Date:  2011-12

Review 9.  Possible drug-drug interaction in dogs and cats resulted from alteration in drug metabolism: A mini review.

Authors:  Kazuaki Sasaki; Minoru Shimoda
Journal:  J Adv Res       Date:  2015-02-24       Impact factor: 10.479

  9 in total

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