Literature DB >> 27317395

Strategies for Determining Correct Cytochrome P450 Contributions in Hepatic Clearance Predictions: In Vitro-In Vivo Extrapolation as Modelling Approach and Tramadol as Proof-of Concept Compound.

Huybrecht T'jollyn1, Jan Snoeys2, Jan Van Bocxlaer3, Lies De Bock3, Pieter Annaert4, Achiel Van Peer2, Karel Allegaert5, Geert Mannens2, An Vermeulen3,2, Koen Boussery3.   

Abstract

BACKGROUND AND
OBJECTIVE: Although the measurement of cytochrome P450 (CYP) contributions in metabolism assays is straightforward, determination of actual in vivo contributions might be challenging. How representative are in vitro for in vivo CYP contributions? This article proposes an improved strategy for the determination of in vivo CYP enzyme-specific metabolic contributions, based on in vitro data, using an in vitro-in vivo extrapolation (IVIVE) approach. Approaches are exemplified using tramadol as model compound, and CYP2D6 and CYP3A4 as involved enzymes.
METHODS: Metabolism data for tramadol and for the probe substrates midazolam (CYP3A4) and dextromethorphan (CYP2D6) were gathered in human liver microsomes (HLM) and recombinant human enzyme systems (rhCYP). From these probe substrates, an activity-adjustment factor (AAF) was calculated per CYP enzyme, for the determination of correct hepatic clearance contributions. As a reference, tramadol CYP contributions were scaled-back from in vivo data (retrograde approach) and were compared with the ones derived in vitro. In this view, the AAF is an enzyme-specific factor, calculated from reference probe activity measurements in vitro and in vivo, that allows appropriate scaling of a test drug's in vitro activity to the 'healthy volunteer' population level. Calculation of an AAF, thus accounts for any 'experimental' or 'batch-specific' activity difference between in vitro HLM and in vivo derived activity.
RESULTS: In this specific HLM batch, for CYP3A4 and CYP2D6, an AAF of 0.91 and 1.97 was calculated, respectively. This implies that, in this batch, the in vitro CYP3A4 activity is 1.10-fold higher and the CYP2D6 activity 1.97-fold lower, compared to in vivo derived CYP activities.
CONCLUSION: This study shows that, in cases where the HLM pool does not represent the typical mean population CYP activities, AAF correction of in vitro metabolism data, optimizes CYP contributions in the prediction of hepatic clearance. Therefore, in vitro parameters for any test compound, obtained in a particular batch, should be corrected with the AAF for the respective enzymes. In the current study, especially the CYP2D6 contribution was found, to better reflect the average in vivo situation. It is recommended that this novel approach is further evaluated using a broader range of compounds.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 27317395     DOI: 10.1007/s13318-016-0355-0

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  17 in total

1.  Prediction of human intestinal first-pass metabolism of 25 CYP3A substrates from in vitro clearance and permeability data.

Authors:  Michael Gertz; Anthony Harrison; J Brian Houston; Aleksandra Galetin
Journal:  Drug Metab Dispos       Date:  2010-04-05       Impact factor: 3.922

2.  Utility of intersystem extrapolation factors in early reaction phenotyping and the quantitative extrapolation of human liver microsomal intrinsic clearance using recombinant cytochromes P450.

Authors:  Yuan Chen; Liling Liu; Khanh Nguyen; Adrian J Fretland
Journal:  Drug Metab Dispos       Date:  2010-12-08       Impact factor: 3.922

3.  Sigmoidal kinetics of CYP3A substrates: an approach for scaling dextromethorphan metabolism in hepatic microsomes and isolated hepatocytes to predict in vivo clearance in rat.

Authors:  L E Witherow; J B Houston
Journal:  J Pharmacol Exp Ther       Date:  1999-07       Impact factor: 4.030

4.  Estimation of the interindividual variability of cytochrome 2D6 activity from urinary metabolic ratios in the literature.

Authors:  Takashi Ito; Motohiro Kato; Koji Chiba; Osamu Okazaki; Yuichi Sugiyama
Journal:  Drug Metab Pharmacokinet       Date:  2010       Impact factor: 3.614

5.  Identification of cytochrome P-450 isoforms responsible for cis-tramadol metabolism in human liver microsomes.

Authors:  V Subrahmanyam; A B Renwick; D G Walters; P J Young; R J Price; A P Tonelli; B G Lake
Journal:  Drug Metab Dispos       Date:  2001-08       Impact factor: 3.922

6.  Resurgence in the use of physiologically based pharmacokinetic models in pediatric clinical pharmacology: parallel shift in incorporating the knowledge of biological elements and increased applicability to drug development and clinical practice.

Authors:  Trevor N Johnson; Amin Rostami-Hodjegan
Journal:  Paediatr Anaesth       Date:  2011-03       Impact factor: 2.556

7.  In silico prediction of efavirenz and rifampicin drug-drug interaction considering weight and CYP2B6 phenotype.

Authors:  Dinko Rekić; Daniel Röshammar; Jackson Mukonzo; Michael Ashton
Journal:  Br J Clin Pharmacol       Date:  2011-04       Impact factor: 4.335

8.  Rifampicin markedly decreases the exposure to oral and intravenous tramadol.

Authors:  Tuukka Saarikoski; Teijo I Saari; Nora M Hagelberg; Mikko Neuvonen; Pertti J Neuvonen; Mika Scheinin; Klaus T Olkkola; Kari Laine
Journal:  Eur J Clin Pharmacol       Date:  2012-12-15       Impact factor: 2.953

9.  The "albumin effect" and drug glucuronidation: bovine serum albumin and fatty acid-free human serum albumin enhance the glucuronidation of UDP-glucuronosyltransferase (UGT) 1A9 substrates but not UGT1A1 and UGT1A6 activities.

Authors:  Andrew Rowland; Kathleen M Knights; Peter I Mackenzie; John O Miners
Journal:  Drug Metab Dispos       Date:  2008-03-24       Impact factor: 3.922

10.  Validated assays for human cytochrome P450 activities.

Authors:  Robert L Walsky; R Scott Obach
Journal:  Drug Metab Dispos       Date:  2004-06       Impact factor: 3.922

View more
  4 in total

1.  Modeling Drug Disposition and Drug-Drug Interactions Through Hypothesis-Driven Physiologically Based Pharmacokinetics: a Reversal Translation Perspective.

Authors:  Guo-Fu Li; Qing-Shan Zheng
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-06       Impact factor: 2.441

2.  The use of PBPK modeling across the pediatric age range using propofol as a case.

Authors:  Robin Michelet; Jan Van Bocxlaer; Karel Allegaert; An Vermeulen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-10-08       Impact factor: 2.745

3.  Physiologically Based Pharmacokinetic Modeling to Assess the Impact of CYP2D6-Mediated Drug-Drug Interactions on Tramadol and O-Desmethyltramadol Exposures via Allosteric and Competitive Inhibition.

Authors:  Tao Long; Rodrigo Cristofoletti; Brian Cicali; Veronique Michaud; Pamela Dow; Jacques Turgeon; Stephan Schmidt
Journal:  J Clin Pharmacol       Date:  2021-09-20       Impact factor: 2.860

4.  Unravelling the pharmacokinetics of aflatoxin B1: In vitro determination of Michaelis-Menten constants, intrinsic clearance and the metabolic contribution of CYP1A2 and CYP3A4 in pooled human liver microsomes.

Authors:  Orphélie Lootens; Marthe De Boevre; Elke Gasthuys; Jan Van Bocxlaer; An Vermeulen; Sarah De Saeger
Journal:  Front Microbiol       Date:  2022-08-29       Impact factor: 6.064

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.