Literature DB >> 21998403

Comparison of cryopreserved HepaRG cells with cryopreserved human hepatocytes for prediction of clearance for 26 drugs.

Ugo Zanelli1, Nicola Pasquale Caradonna, David Hallifax, Elisa Turlizzi, J Brian Houston.   

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.

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Year:  2011        PMID: 21998403     DOI: 10.1124/dmd.111.042309

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


  15 in total

1.  Prediction of Metabolic Clearance for Low-Turnover Compounds Using Plated Hepatocytes with Enzyme Activity Correction.

Authors:  Bennett Ma; Roy Eisenhandler; Yuhsin Kuo; Paul Rearden; Ying Li; Peter J Manley; Sheri Smith; Karsten Menzel
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-04       Impact factor: 2.441

2.  Metabolic Profiling of Human Long-Term Liver Models and Hepatic Clearance Predictions from In Vitro Data Using Nonlinear Mixed-Effects Modeling.

Authors:  Nicole A Kratochwil; Christophe Meille; Stephen Fowler; Florian Klammers; Aynur Ekiciler; Birgit Molitor; Sandrine Simon; Isabelle Walter; Claudia McGinnis; Johanna Walther; Brian Leonard; Miriam Triyatni; Hassan Javanbakht; Christoph Funk; Franz Schuler; Thierry Lavé; Neil J Parrott
Journal:  AAPS J       Date:  2017-01-03       Impact factor: 4.009

Review 3.  Candidate Proficiency Test Chemicals to Address Industrial Chemical Applicability Domains for in vitro Human Cytochrome P450 Enzyme Induction.

Authors:  Miriam Naomi Jacobs; Barbara Kubickova; Eugene Boshoff
Journal:  Front Toxicol       Date:  2022-06-20

4.  Variability in Human In Vitro Enzyme Kinetics.

Authors:  Christopher R Gibson; Ying-Hong Wang; Ninad Varkhede; Bennett Ma
Journal:  Methods Mol Biol       Date:  2021

Review 5.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

6.  High Content Imaging and Analysis Enable Quantitative In Situ Assessment of CYP3A4 Using Cryopreserved Differentiated HepaRG Cells.

Authors:  Aarati R Ranade; Melinda S Wilson; Amy M McClanahan; Andrew J Ball
Journal:  J Toxicol       Date:  2014-09-08

7.  Evaluation of a novel PXR-knockout in HepaRG cells.

Authors:  Beth Williamson; Mathias Lorbeer; Michael D Mitchell; Timothy G Brayman; Robert J Riley
Journal:  Pharmacol Res Perspect       Date:  2016-09-21

8.  From in vitro to in vivo: Integration of the virtual cell based assay with physiologically based kinetic modelling.

Authors:  Alicia Paini; Jose Vicente Sala Benito; Jos Bessems; Andrew P Worth
Journal:  Toxicol In Vitro       Date:  2017-06-27       Impact factor: 3.500

9.  Fluorometric evaluation of CYP3A4 expression using improved transgenic HepaRG cells carrying a dual-colour reporter for CYP3A4 and CYP3A7.

Authors:  Takafumi Ueyama; Saori Tsuji; Takemi Sugiyama; Masako Tada
Journal:  Sci Rep       Date:  2017-06-06       Impact factor: 4.379

10.  How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective.

Authors:  Lei Wang; ChienWei Chiang; Hong Liang; Hengyi Wu; Weixing Feng; Sara K Quinney; Jin Li; Lang Li
Journal:  Biomed Res Int       Date:  2015-10-11       Impact factor: 3.411

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