Literature DB >> 18832476

Prediction of drug clearance by glucuronidation from in vitro data: use of combined cytochrome P450 and UDP-glucuronosyltransferase cofactors in alamethicin-activated human liver microsomes.

Peter J Kilford1, Rowan Stringer, Bindi Sohal, J Brian Houston, Aleksandra Galetin.   

Abstract

Glucuronidation via UDP-glucuronosyltransferase (UGT) is an increasingly important clearance pathway. In this study intrinsic clearance (CL(int)) values for buprenorphine, carvedilol, codeine, diclofenac, gemfibrozil, ketoprofen, midazolam, naloxone, raloxifene, and zidovudine were determined in pooled human liver microsomes using the substrate depletion approach. The in vitro clearance data indicated a varying contribution of glucuronidation to the clearance of the compounds studied, ranging from 6 to 79% for midazolam and gemfibrozil, respectively. The CL(int) was obtained using either individual or combined cofactors for cytochrome P450 (P450) and UGT enzymes with alamethicin activation and in the presence and absence of 2% bovine serum albumin (BSA). In the presence of combined P450 and UGT cofactors, CL(int) ranged from 2.8 to 688 microl/min/mg for zidovudine and buprenorphine, respectively; the clearance was approximately equal to the sum of the CL(int) values obtained in the presence of individual cofactors. The unbound intrinsic clearance (CL(int, u)) was scaled to provide an in vivo predicted CL(int); the data obtained in the presence of combined cofactors resulted in 5-fold underprediction on average. Addition of 2% BSA to the incubation with both P450 and UGT cofactors reduced the bias in the clearance prediction, with 8 of 10 compounds predicted within 2-fold of in vivo values with the exception of raloxifene and gemfibrozil. The current study indicates the applicability of combined cofactor conditions in the assessment of clearance for compounds with a differential contribution of P450 and UGT enzymes to their elimination. In addition, improved predictability of microsomal data is observed in the presence of BSA, in particular for UGT2B7 substrates.

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Year:  2008        PMID: 18832476     DOI: 10.1124/dmd.108.023853

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


  43 in total

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Review 2.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

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Journal:  AAPS J       Date:  2012-03-10       Impact factor: 4.009

3.  Prediction of human metabolic clearance from in vitro systems: retrospective analysis and prospective view.

Authors:  David Hallifax; Joanne A Foster; J Brian Houston
Journal:  Pharm Res       Date:  2010-07-27       Impact factor: 4.200

4.  Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.

Authors:  Eleanor J Guest; Karen Rowland-Yeo; Amin Rostami-Hodjegan; Geoffrey T Tucker; J Brian Houston; Aleksandra Galetin
Journal:  Br J Clin Pharmacol       Date:  2011-01       Impact factor: 4.335

5.  Accurate prediction of glucuronidation of structurally diverse phenolics by human UGT1A9 using combined experimental and in silico approaches.

Authors:  Baojian Wu; Xiaoqiang Wang; Shuxing Zhang; Ming Hu
Journal:  Pharm Res       Date:  2012-06       Impact factor: 4.200

6.  Characterization of in vitro glucuronidation clearance of a range of drugs in human kidney microsomes: comparison with liver and intestinal glucuronidation and impact of albumin.

Authors:  Katherine L Gill; J Brian Houston; Aleksandra Galetin
Journal:  Drug Metab Dispos       Date:  2012-01-24       Impact factor: 3.922

7.  Prediction of relative in vivo metabolite exposure from in vitro data using two model drugs: dextromethorphan and omeprazole.

Authors:  Justin D Lutz; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2011-10-18       Impact factor: 3.922

8.  A semiphysiological population pharmacokinetic model for dynamic inhibition of liver and gut wall cytochrome P450 3A by voriconazole.

Authors:  Sebastian Frechen; Lisa Junge; Teijo I Saari; Ahmed Abbas Suleiman; Dennis Rokitta; Pertti J Neuvonen; Klaus T Olkkola; Uwe Fuhr
Journal:  Clin Pharmacokinet       Date:  2013-09       Impact factor: 6.447

9.  Human hepatocyte assessment of imatinib drug-drug interactions - complexities in clinical translation.

Authors:  Jan H Beumer; Venkateswaran C Pillai; Robert A Parise; Susan M Christner; Brian F Kiesel; Michelle A Rudek; Raman Venkataramanan
Journal:  Br J Clin Pharmacol       Date:  2015-09-19       Impact factor: 4.335

10.  Relative importance of intestinal and hepatic glucuronidation-impact on the prediction of drug clearance.

Authors:  Helen E Cubitt; J Brian Houston; Aleksandra Galetin
Journal:  Pharm Res       Date:  2009-01-31       Impact factor: 4.200

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