Comparison of Cryopreserved HepaRG Cells with Cryopreserved Human Hepatocytes for Prediction of Clearance for 26 Drugs

Drug Metabolism and Disposition
2012.0

Abstract

Prediction of clearance in drug discovery currently relies on human primary hepatocytes, which can vary widely in drug-metabolizing enzyme activity. Potential alternative in vitro models include the HepaRG cell (from immortalized hepatoma cells), which in culture can express drug-metabolizing enzymes to an extent comparable to that of primary hepatocytes. Utility of the HepaRG cell will depend on robust performance, relative to that of primary hepatocytes, in routine high-throughput analysis. In this study, we compared intrinsic clearance (CL(int)) in the recently developed cryopreserved HepaRG cell system with CL(int) in human cryopreserved pooled hepatocytes and with CL(int) in vivo for 26 cytochrome P450 substrate drugs. There was quantitative agreement between CL(int) in HepaRG cells and human hepatocytes, which was linear throughout the range of CL(int) (1-2000 ml · min(-1) · kg(-1)) and not dependent on particular cytochrome P450 involvement. Prediction of CL(int) in HepaRG cells was on average within 2-fold of in vivo CL(int) (using the well stirred liver model), but average fold error was clearance-dependent with greater underprediction (up to at least 5-fold) for the more highly cleared drugs. Recent reporting of this phenomenon in human hepatocytes was therefore confirmed with the hepatocytes used in this study, and hence the HepaRG cell system appears to share an apparently general tendency of clearance-limited CL(int) in cell models. This study shows the cryopreserved HepaRG cell system to be quantitatively comparable to human hepatocytes for prediction of clearance of drug cytochrome P450 substrates and to represent a promising alternative in vitro tool.

Knowledge Graph

Similar Paper

Comparison of Cryopreserved HepaRG Cells with Cryopreserved Human Hepatocytes for Prediction of Clearance for 26 Drugs
Drug Metabolism and Disposition 2012.0
Combining in Vitro and in Vivo Pharmacokinetic Data for Prediction of Hepatic Drug Clearance in Humans by Artificial Neural Networks and Multivariate Statistical Techniques
Journal of Medicinal Chemistry 1999.0
First-principle, structure-based prediction of hepatic metabolic clearance values in human
European Journal of Medicinal Chemistry 2009.0
Predicting the Human Hepatic Clearance of Acidic and Zwitterionic Drugs
Journal of Medicinal Chemistry 2020.0
In Vivo Biliary Clearance Should Be Predicted by Intrinsic Biliary Clearance in Sandwich-Cultured Hepatocytes
Drug Metabolism and Disposition 2012.0
Prediction of In Vivo Hepatic Clearance and Half-Life of Drug Candidates in Human Using Chimeric Mice with Humanized Liver
Drug Metabolism and Disposition 2012.0
Hydralazine As a Selective Probe Inactivator of Aldehyde Oxidase in Human Hepatocytes: Estimation of the Contribution of Aldehyde Oxidase to Metabolic Clearance
Drug Metabolism and Disposition 2012.0
Utility of Drug Depletion-Time Profiles in Isolated Hepatocytes for Accessing Hepatic Uptake Clearance: Identifying Rate-Limiting Steps and Role of Passive Processes
Drug Metabolism and Disposition 2012.0
Quantitative Prediction of Human Intestinal Glucuronidation Effects on Intestinal Availability of UDP-Glucuronosyltransferase Substrates Using In Vitro Data
Drug Metabolism and Disposition 2012.0
A Comprehensive Assessment of Repaglinide Metabolic Pathways: Impact of Choice of In Vitro System and Relative Enzyme Contribution to In Vitro Clearance
Drug Metabolism and Disposition 2012.0