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Drug Metabolism & Disposition

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Quantitative CYP3A4 induction risk assessment using human hepatocytes complemented with pregnane X receptor (PXR)-activating profiles

Aynur Ekiciler, Wen Li Kelly Chen, Yan Bo, Alessandra Pugliano, Massimiliano Donzelli, Neil Parrott and Kenichi Umehara
Drug Metabolism and Disposition December 2, 2022, DMD-AR-2022-001132; DOI: https://doi.org/10.1124/dmd.122.001132
Aynur Ekiciler
1Pharmaceutical Sciences, F. Hoffmann-LaRoche, Switzerland
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  • For correspondence: kenichi.umehara@roche.com
Wen Li Kelly Chen
2China Innovation Center of Roche, Roche Pharmaceutical Research and Early Development, China
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Yan Bo
2China Innovation Center of Roche, Roche Pharmaceutical Research and Early Development, China
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Alessandra Pugliano
3Roche Innovation Center Basel, Roche Pharmaceutical Research and Early Development, Switzerland
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Massimiliano Donzelli
3Roche Innovation Center Basel, Roche Pharmaceutical Research and Early Development, Switzerland
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Neil Parrott
4Roche, Switzerland
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Kenichi Umehara
5Pharmaceutical Sciences, Roche Pharmaceutical Research and Early Development, Switzerland
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  • For correspondence: kenichi.umehara@roche.com
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Abstract

Reliable in vitro to in vivo translation of CYP3A4 induction potential is essential to support risk mitigation for compounds during pharmaceutical discovery and development. In this study, a linear correlation of CYP3A4 mRNA induction potential in human hepatocytes with the respective PXR activation in a reporter gene assay using DPX2 cells was successfully demonstrated for 13 clinically used drugs. Based on this correlation, using rifampicin as a positive control, the magnitude of CYP3A4 mRNA induction for 71 internal compounds at several concentrations up to 10 µM (n=90), was predicted within 2-fold error for 64% of cases with only a few false positives (19%). Furthermore, the in vivo AUC reduction of probe CYP substrates was reasonably predicted for 8 marketed drugs (carbamazepine, dexamethasone, enzalutamide, nevirapine, phenobarbital, phenytoin, rifampicin and rufinamide) using the static net effect model using both the PXR activation and CYP3A4 mRNA induction data. The liver exit concentrations were used for the model in place of the inlet concentrations to avoid false positive predictions and the concentration achieving 2-fold induction (F2) was used to compensate for the lack of full induction kinetics due to cytotoxicity and solubility limitations in vitro. These findings can complement the currently available induction risk mitigation strategy and potentially influence the drug interaction modeling work conducted at clinical stages.

Significance Statement The established correlation of CYP3A4 mRNA in human hepatocytes to PXR activation provides a clear cut-off to identify a compound showing an in vitro induction risk, complementing current regulatory guidance. Also, the demonstrated in vitro-in vivo translation of induction data strongly supports clinical development program although limitations remain for drug candidates showing complex disposition pathways such as involvement of auto-inhibition/induction, active transport and high protein binding.

  • drug-drug interactions
  • enzyme induction
  • hepatocytes
  • human CYP enzymes
  • nuclear receptors
  • Pregnane X receptor (PXR)
  • Copyright © 2020 American Society for Pharmacology and Experimental Therapeutics
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Drug Metabolism and Disposition: 51 (2)
Drug Metabolism and Disposition
Vol. 51, Issue 2
1 Feb 2023
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OtherArticle

Evaluation of CYP3A4 induction incorporating PXR activation

Aynur Ekiciler, Wen Li Kelly Chen, Yan Bo, Alessandra Pugliano, Massimiliano Donzelli, Neil Parrott and Kenichi Umehara
Drug Metabolism and Disposition December 2, 2022, DMD-AR-2022-001132; DOI: https://doi.org/10.1124/dmd.122.001132

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OtherArticle

Evaluation of CYP3A4 induction incorporating PXR activation

Aynur Ekiciler, Wen Li Kelly Chen, Yan Bo, Alessandra Pugliano, Massimiliano Donzelli, Neil Parrott and Kenichi Umehara
Drug Metabolism and Disposition December 2, 2022, DMD-AR-2022-001132; DOI: https://doi.org/10.1124/dmd.122.001132
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