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

@article{Kratochwil2016MetabolicPO,
  title={Metabolic Profiling of Human Long-Term Liver Models and Hepatic Clearance Predictions from In Vitro Data Using Nonlinear Mixed-Effects Modeling},
  author={Nicole A. Kratochwil and Christophe Meille and Stephen Fowler and Florian Klammers and Aynur Ekiciler and Birgit Molitor and Sandrine Simon and Isabelle Walter and Claudia McGinnis and Johanna Walther and Brian Leonard and Miriam Triyatni and Hassan Javanbakht and Christoph Funk and Franz Schuler and Thierry Lav{\'e} and Neil John Parrott},
  journal={The AAPS Journal},
  year={2016},
  volume={19},
  pages={534-550}
}
Early prediction of human clearance is often challenging, in particular for the growing number of low-clearance compounds. Long-term in vitro models have been developed which enable sophisticated hepatic drug disposition studies and improved clearance predictions. Here, the cell line HepG2, iPSC-derived hepatocytes (iCell®), the hepatic stem cell line HepaRG™, and human hepatocyte co-cultures (HμREL™ and HepatoPac®) were compared to primary hepatocyte suspension cultures with respect to their… CONTINUE READING