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Drug Metab Dispos ; 48(9): 804-810, 2020 09.
Article in English | MEDLINE | ID: mdl-32623369

ABSTRACT

The HepatoPac micropatterned coculture (MPCC) hepatocyte system has been shown to be an effective tool to investigate the qualitative human and preclinical species' metabolite profiles of new drug candidates. However, additional improvements to the overall study conditions and execution, layout, and human-donor count could be made. To that end, we have evaluated several ways to increase the amount of data one can generate per MPCC plate and how to more efficiently execute a MPCC study for the purpose of metabolite generation. Herein, we compare a set of compounds using single- and 10-donor pooled human MPCC hepatocytes. Intrinsic clearance and mean metabolic activities assessed by diverse enzyme markers were comparable between the single- and 10-donor pool. We have confirmed that the generated metabolite profiles were indistinguishable between the single- and 10-donor pool and also that rat MPCC can be performed at 400 µl media volume, which greatly simplifies study execution. Additional tips for successful study execution are also described. SIGNIFICANCE STATEMENT: When using the HepatoPac micropatterned coculture (MPCC) system, sometimes simple experimental condition variables or problematic plate designs can hamper productive study execution. We evaluated conditions to increase the amount of data one can generate per MPCC plate and, perhaps more importantly, execute that study more efficiently with less likelihood of error. We describe some of our key learnings, provide an examination of enzyme activity levels and clearance values, and provide some recommendations to simplify the execution of a HepatoPac experiment.


Subject(s)
Hepatobiliary Elimination , Metabolomics/methods , Primary Cell Culture/methods , Animals , Biotransformation , Chromatography, High Pressure Liquid/methods , Coculture Techniques/methods , Datasets as Topic , Drug Evaluation, Preclinical/methods , Female , Fibroblasts , Hepatocytes/metabolism , Humans , Male , Rats , Tandem Mass Spectrometry/methods
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