Theoretical Considerations for Direct Translation of Unbound Liver-to-Plasma Partition Coefficient from In Vitro to In Vivo

There is considerable interest in developing methods to predict the asymmetric distribution of unbound drug into tissues. The liver is of particular interest due to the multitude of expressed transporters with potential implications for pharmacokinetics, pharmacodynamics, and toxicology. Empirical correlations of in vitro unbound hepatocyte-to-media partition coefficient (in vitro Kpuu) and in vivo unbound liver-to-plasma partition coefficient (in vivo Kpuu) have been reported without considering the theoretical aspects which might confound the interpretation of such observations. To understand the theoretical basis for the translation of Kpuu between in vitro and in vivo systems, we simulated in vitro hepatocyte and in vivo liver Kpuu values using mechanistic mathematical models of these systems. Theoretical comparisons of steady-state Kpuu between in vitro and in vivo systems were performed using liver models which assumed a number of segments ranging from one (i.e., a permeability-limited well-stirred model) to infinity (i.e., a permeability-limited parallel tube model). Using a five-segment model, the effect of zonal differences in metabolism was also explored in this context. The results across the range of examined models indicated that theoretical differences between in vitro and in vivo Kpuu estimates exist and are expected to increase with an increasing degree of extraction across the liver. However, differences were relatively small using what is perhaps the most physiologically relevant, permeability-limited parallel tube model, suggesting that direct correlations are reasonably valid and that the permeability-limited parallel tube model is perhaps the most appropriate physiologically based pharmacokinetic (PBPK) construct for supporting studies of this nature.

[1]  Yuan Chen,et al.  Prediction of the Pharmacokinetics of Pravastatin as an OATP Substrate Using Plateable Human Hepatocytes With Human Plasma Data and PBPK Modeling , 2018, CPT: pharmacometrics & systems pharmacology.

[2]  L. Di,et al.  Novel Method to Predict In Vivo Liver-to-Plasma Kpuu for OATP Substrates Using Suspension Hepatocytes , 2017, Drug Metabolism and Disposition.

[3]  T. Kietzmann Metabolic zonation of the liver: The oxygen gradient revisited , 2017, Redox biology.

[4]  L. Di,et al.  Determination of Unbound Partition Coefficient and in Vitro–in Vivo Extrapolation for SLC13A Transporter–Mediated Uptake , 2016, Drug Metabolism and Disposition.

[5]  W. Humphreys,et al.  Rosuvastatin Liver Partitioning in Cynomolgus Monkeys: Measurement In Vivo and Prediction Using In Vitro Monkey Hepatocyte Uptake , 2015, Drug Metabolism and Disposition.

[6]  Aleksandra Galetin,et al.  Meta-Analysis of Expression of Hepatic Organic Anion–Transporting Polypeptide (OATP) Transporters in Cellular Systems Relative to Human Liver Tissue , 2015, Drug Metabolism and Disposition.

[7]  Jörg Huwyler,et al.  The extended clearance model and its use for the interpretation of hepatobiliary elimination data , 2015 .

[8]  J. Huwyler,et al.  Prediction of Organic Anion-Transporting Polypeptide 1B1- and 1B3-Mediated Hepatic Uptake of Statins Based on Transporter Protein Expression and Activity Data , 2014, Drug Metabolism and Disposition.

[9]  Hugh A. Barton,et al.  A “middle-out” approach to human pharmacokinetic predictions for OATP substrates using physiologically-based pharmacokinetic modeling , 2014, Journal of Pharmacokinetics and Pharmacodynamics.

[10]  T. Andersson,et al.  Prediction of In Vivo Rat Biliary Drug Clearance from an In Vitro Hepatocyte Efflux Model , 2014, Drug Metabolism and Disposition.

[11]  T. Andersson,et al.  Functional ATP-Binding Cassette Drug Efflux Transporters in Isolated Human and Rat Hepatocytes Significantly Affect Assessment of Drug Disposition , 2014, Drug Metabolism and Disposition.

[12]  Per Artursson,et al.  Rapid measurement of intracellular unbound drug concentrations. , 2013, Molecular pharmaceutics.

[13]  E. van de Steeg,et al.  Murine Oatp1a/1b Uptake Transporters Control Rosuvastatin Systemic Exposure Without Affecting Its Apparent Liver Exposure , 2013, Molecular Pharmacology.

[14]  Chuang Lu,et al.  Preclinical experimental models of drug metabolism and disposition in drug discovery and development , 2012 .

[15]  Hugh A. Barton,et al.  Mechanistic Pharmacokinetic Modeling for the Prediction of Transporter-Mediated Disposition in Humans from Sandwich Culture Human Hepatocyte Data , 2012, Drug Metabolism and Disposition.

[16]  A. Galetin,et al.  Kinetic Characterization of Rat Hepatic Uptake of 16 Actively Transported Drugs , 2011, Drug Metabolism and Disposition.

[17]  Meng Li,et al.  Identification of interspecies difference in efflux transporters of hepatocytes from dog, rat, monkey and human. , 2008, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[18]  K. Brouwer,et al.  Localization of P-gp (Abcb1) and Mrp2 (Abcc2) in Freshly Isolated Rat Hepatocytes , 2008, Drug Metabolism and Disposition.

[19]  Yuichi Sugiyama,et al.  Transporters as a determinant of drug clearance and tissue distribution. , 2006, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[20]  H. Teutsch The modular microarchitecture of human liver , 2005, Hepatology.

[21]  Kiyomi Ito,et al.  Comparison of the Use of Liver Models for Predicting Drug Clearance Using in Vitro Kinetic Data from Hepatic Microsomes and Isolated Hepatocytes , 2004, Pharmaceutical Research.

[22]  Paul D. Martin,et al.  Absolute oral bioavailability of rosuvastatin in healthy white adult male volunteers. , 2003, Clinical therapeutics.

[23]  M. Yamazaki,et al.  Primary active transport of pravastatin across the liver canalicular membrane in normal and mutant Eisai hyperbilirubinemic rats. , 1996, Biopharmaceutics & drug disposition.

[24]  Malcolm Rowland,et al.  Hepatic clearance of drugs. I. Theoretical considerations of a “well-stirred” model and a “parallel tube” model. Influence of hepatic blood flow, plasma and blood cell binding, and the hepatocellular enzymatic activity on hepatic drug clearance , 1977, Journal of Pharmacokinetics and Biopharmaceutics.

[25]  Kazuya Maeda,et al.  Clinical significance of organic anion transporting polypeptides (OATPs) in drug disposition: their roles in hepatic clearance and intestinal absorption. , 2013, Biopharmaceutics & drug disposition.