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Research ArticleArticle

Mechanistic Pharmacokinetic Modeling for the Prediction of Transporter-Mediated Disposition in Humans from Sandwich Culture Human Hepatocyte Data

Hannah M. Jones, Hugh A. Barton, Yurong Lai, Yi-an Bi, Emi Kimoto, Sarah Kempshall, Sonya C. Tate, Ayman El-Kattan, J. Brian Houston, Aleksandra Galetin and Katherine S. Fenner
Drug Metabolism and Disposition May 2012, 40 (5) 1007-1017; DOI: https://doi.org/10.1124/dmd.111.042994
Hannah M. Jones
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Hugh A. Barton
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Yurong Lai
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Yi-an Bi
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Emi Kimoto
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Sarah Kempshall
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Sonya C. Tate
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Ayman El-Kattan
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J. Brian Houston
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Aleksandra Galetin
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Katherine S. Fenner
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Abstract

With efforts to reduce cytochrome P450-mediated clearance (CL) during the early stages of drug discovery, transporter-mediated CL mechanisms are becoming more prevalent. However, the prediction of plasma concentration-time profiles for such compounds using physiologically based pharmacokinetic (PBPK) modeling is far less established in comparison with that for compounds with passively mediated pharmacokinetics (PK). In this study, we have assessed the predictability of human PK for seven organic anion-transporting polypeptide (OATP) substrates (pravastatin, cerivastatin, bosentan, fluvastatin, rosuvastatin, valsartan, and repaglinide) for which clinical intravenous data were available. In vitro data generated from the sandwich culture human hepatocyte system were simultaneously fit to estimate parameters describing both uptake and biliary efflux. Use of scaled active uptake, passive distribution, and biliary efflux parameters as inputs into a PBPK model resulted in the overprediction of exposure for all seven drugs investigated, with the exception of pravastatin. Therefore, fitting of in vivo data for each individual drug in the dataset was performed to establish empirical scaling factors to accurately capture their plasma concentration-time profiles. Overall, active uptake and biliary efflux were under- and overpredicted, leading to average empirical scaling factors of 58 and 0.061, respectively; passive diffusion required no scaling factor. This study illustrates the mechanistic and model-driven application of in vitro uptake and efflux data for human PK prediction for OATP substrates. A particular advantage is the ability to capture the multiphasic plasma concentration-time profiles for such compounds using only preclinical data. A prediction strategy for novel OATP substrates is discussed.

Footnotes

  • Article, publication date, and citation information can be found at http://dmd.aspetjournals.org.

    http://dx.doi.org/10.1124/dmd.111.042994.

  • ↵Embedded Image The online version of this article (available at http://dmd.aspetjournals.org) contains supplemental material.

  • ABBREVIATIONS:

    PK
    pharmacokinetic(s)
    PBPK
    physiologically based pharmacokinetic
    CL
    clearance
    OATP
    organic anion-transporting polypeptide
    SCHH
    sandwich culture human hepatocytes
    HBSS
    Hanks' balanced salt solution
    HLM
    human liver microsomes
    B/P
    blood/plasma ratio
    Mcells
    million cells.

  • Received September 23, 2011.
  • Accepted February 16, 2012.
  • Copyright © 2012 by The American Society for Pharmacology and Experimental Therapeutics
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Drug Metabolism and Disposition: 40 (5)
Drug Metabolism and Disposition
Vol. 40, Issue 5
1 May 2012
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Research ArticleArticle

PREDICTION OF TRANSPORTER-MEDIATED DISPOSITION IN HUMANS

Hannah M. Jones, Hugh A. Barton, Yurong Lai, Yi-an Bi, Emi Kimoto, Sarah Kempshall, Sonya C. Tate, Ayman El-Kattan, J. Brian Houston, Aleksandra Galetin and Katherine S. Fenner
Drug Metabolism and Disposition May 1, 2012, 40 (5) 1007-1017; DOI: https://doi.org/10.1124/dmd.111.042994

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Research ArticleArticle

PREDICTION OF TRANSPORTER-MEDIATED DISPOSITION IN HUMANS

Hannah M. Jones, Hugh A. Barton, Yurong Lai, Yi-an Bi, Emi Kimoto, Sarah Kempshall, Sonya C. Tate, Ayman El-Kattan, J. Brian Houston, Aleksandra Galetin and Katherine S. Fenner
Drug Metabolism and Disposition May 1, 2012, 40 (5) 1007-1017; DOI: https://doi.org/10.1124/dmd.111.042994
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