Literature DB >> 31551322

In Vitro-In Vivo Inaccuracy: The CYP3A4 Anomaly.

Christine M Bowman1, Leslie Z Benet2.   

Abstract

When predicting hepatic clearance using in vitro to in vivo extrapolation (IVIVE), microsomes or hepatocytes are commonly used. Here, we examine intrinsic clearance values and IVIVE results in human hepatocytes and microsomes for compounds metabolized by a variety of enzymes. The great majority of CYP3A4 substrates examined had higher intrinsic clearance values in microsomes compared with hepatocytes, whereas the values were more similar between the two incubations for substrates of other enzymes. We hypothesize that this may be due to interplay between CYP3A4 and the efflux transporter P-glycoprotein, as they have been shown to exhibit coordinated regulation. When examining the prediction accuracy for substrates of other enzymes between microsomes and hepatocytes, average fold errors as well as overall error were similar, demonstrating once again that IVIVE methods are not adequately defined and understood. SIGNIFICANCE STATEMENT: For CYP3A4 substrates, microsomes give markedly higher predictive in vitro to in vivo extrapolation than for other metabolic enzymes, which is not found for hepatocytes. We hypothesize that this could be a result of CYP3A4-P-glycoprotein interplay or coordinated regulation in hepatocytes that would not be observed in microsomes.
Copyright © 2019 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2019        PMID: 31551322      PMCID: PMC7042718          DOI: 10.1124/dmd.119.088427

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


  22 in total

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Authors:  Y Zhang; L Z Benet
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2.  Impact of pH on plasma protein binding in equilibrium dialysis.

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3.  Reliability of human cryopreserved hepatocytes and liver microsomes as in vitro systems to predict metabolic clearance.

Authors:  R Stringer; P L Nicklin; J B Houston
Journal:  Xenobiotica       Date:  2008-10       Impact factor: 1.908

Review 4.  Prediction of hepatic clearance in human from in vitro data for successful drug development.

Authors:  Masato Chiba; Yasuyuki Ishii; Yuichi Sugiyama
Journal:  AAPS J       Date:  2009-04-30       Impact factor: 4.009

5.  Comparison of intrinsic metabolic clearance in fresh and cryopreserved human hepatocytes.

Authors:  E Floby; J Johansson; J Hoogstraate; N J Hewitt; J Hill; A-K Sohlenius-Sternbeck
Journal:  Xenobiotica       Date:  2009-09       Impact factor: 1.908

6.  Comparison of intrinsic clearances in human liver microsomes and suspended hepatocytes from the same donor livers: clearance-dependent relationship and implications for prediction of in vivo clearance.

Authors:  Joanne A Foster; J Brian Houston; David Hallifax
Journal:  Xenobiotica       Date:  2010-11-09       Impact factor: 1.908

7.  Hepatic Clearance Predictions from In Vitro-In Vivo Extrapolation and the Biopharmaceutics Drug Disposition Classification System.

Authors:  Christine M Bowman; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2016-08-12       Impact factor: 3.922

8.  Projecting ADME Behavior and Drug-Drug Interactions in Early Discovery and Development: Application of the Extended Clearance Classification System.

Authors:  Ayman F El-Kattan; Manthena V Varma; Stefan J Steyn; Dennis O Scott; Tristan S Maurer; Arthur Bergman
Journal:  Pharm Res       Date:  2016-09-12       Impact factor: 4.200

9.  Hepatic microsome studies are insufficient to characterize in vivo hepatic metabolic clearance and metabolic drug-drug interactions: studies of digoxin metabolism in primary rat hepatocytes versus microsomes.

Authors:  Justine L Lam; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2004-11       Impact factor: 3.922

10.  Clearance Prediction Methodology Needs Fundamental Improvement: Trends Common to Rat and Human Hepatocytes/Microsomes and Implications for Experimental Methodology.

Authors:  F L Wood; J B Houston; D Hallifax
Journal:  Drug Metab Dispos       Date:  2017-09-08       Impact factor: 3.922

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  2 in total

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Authors:  Leslie Z Benet; Jasleen K Sodhi
Journal:  AAPS J       Date:  2020-09-10       Impact factor: 4.009

Review 2.  Successful and Unsuccessful Prediction of Human Hepatic Clearance for Lead Optimization.

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Journal:  J Med Chem       Date:  2021-03-25       Impact factor: 7.446

  2 in total

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