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Research ArticleArticle

Assessing Liver-to-Plasma Partition Coefficients and In Silico Calculation Methods: When Does the Hepatic Model Matter in PBPK?

Xiaonan Li and William J. Jusko
Drug Metabolism and Disposition December 2022, 50 (12) 1501-1512; DOI: https://doi.org/10.1124/dmd.122.000994
Xiaonan Li
Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York
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William J. Jusko
Department of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, New York
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Abstract

The primary models used in pharmacokinetics to assess hepatic clearance (CLh) are the well-stirred model (WSM), the parallel tube model (PTM), and the dispersion model (DM) that differ in their internal flow patterns and assumed unbound liver concentrations. Physiologically based pharmacokinetic (PBPK) models require a hepatic intrinsic clearance (CLint) and tissue-to-plasma partition coefficient (Kp). Given measured systemic and liver concentration-time profiles, these hepatic models perform similarly but yield model-specific CLint and Kp estimates. This work provides mathematical relationships for the three basic hepatic models and assesses their corresponding PBPK-relevant Kp values with literature-reported single-dose blood and liver concentration-time data of 14 compounds. Model fittings were performed with an open-loop approach where the CLh and extraction ratio (ER) were first estimated from fitting the blood data yielding CLint values for the three hepatic models. The prefitted blood data served as forcing input functions to obtain PBPK-operative Kp estimates that were compared with those obtained by the tissue/plasma area ratio (AR), the Chen and Gross (C&G) method, and published in silico methods. The CLint and Kp values for the hepatic models increased with the ER and both showed a rank order being WSM > DM > PTM. Drugs with low ER showed no differences as expected. With model-specific CLint and Kp values, all hepatic models predict the same steady-state Kp that is comparable to those from the AR and C&G methods and reported by direct measurement. All in silico methods performed poorly for most compounds. Hepatic model selection requires cautious application and interpretation in PBPK modeling.

SIGNIFICANCE STATEMENT The three hepatic models generate different single-dose (nonsteady-state) values of hepatic intrinsic clearance (CLint) and tissue-to-plasma partition coefficient in physiologically based pharmacokinetic models especially for drugs with a high extraction ratio; however, all steady-state tissue-to-plasma partition coefficient values expected from constant rate infusion studies were the same. These findings are relevant when using these models for in vitro-to-in vivo extrapolation where a model-dependent CLint is used to correct measured drug concentrations for depletion of the tissue by metabolism. This model dependency may also have an impact when assessing pharmacokinetic/pharmacodynamic relationships when effects relate to assumed hepatic concentrations.

Footnotes

    • Received June 15, 2022.
    • Accepted September 9, 2022.
  • This work was supported by National Institutes of Health [Grant R35 GM131800].

  • No author has an actual or perceived conflict of interest with the contents of this article.

  • dx.doi.org/10.1124/dmd.122.000994.

  • ↵Embedded ImageThis article has supplemental material available at dmd.aspetjournals.org.

  • Copyright © 2022 by The American Society for Pharmacology and Experimental Therapeutics
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Drug Metabolism and Disposition: 50 (12)
Drug Metabolism and Disposition
Vol. 50, Issue 12
1 Dec 2022
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Research ArticleArticle

Model-Dependent Hepatic Partition Coefficients

Xiaonan Li and William J. Jusko
Drug Metabolism and Disposition December 1, 2022, 50 (12) 1501-1512; DOI: https://doi.org/10.1124/dmd.122.000994

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Research ArticleArticle

Model-Dependent Hepatic Partition Coefficients

Xiaonan Li and William J. Jusko
Drug Metabolism and Disposition December 1, 2022, 50 (12) 1501-1512; DOI: https://doi.org/10.1124/dmd.122.000994
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