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Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model

Regulatory agencies currently recommend itraconazole (ITZ) as a strong cytochrome P450 3A (CYP3A) inhibitor for clinical drug–drug interaction (DDI) studies. This work by an International Consortium for Innovation and Quality in Pharmaceutical Development working group (WG) is to develop and verify...

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Autores principales: Chen, Yuan, Cabalu, Tamara D., Callegari, Ernesto, Einolf, Heidi, Liu, Lichuan, Parrott, Neil, Peters, Sheila Annie, Schuck, Edgar, Sharma, Pradeep, Tracey, Helen, Upreti, Vijay V., Zheng, Ming, Zhu, Andy Z.X., Hall, Stephen D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765698/
https://www.ncbi.nlm.nih.gov/pubmed/31215774
http://dx.doi.org/10.1002/psp4.12449
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author Chen, Yuan
Cabalu, Tamara D.
Callegari, Ernesto
Einolf, Heidi
Liu, Lichuan
Parrott, Neil
Peters, Sheila Annie
Schuck, Edgar
Sharma, Pradeep
Tracey, Helen
Upreti, Vijay V.
Zheng, Ming
Zhu, Andy Z.X.
Hall, Stephen D.
author_facet Chen, Yuan
Cabalu, Tamara D.
Callegari, Ernesto
Einolf, Heidi
Liu, Lichuan
Parrott, Neil
Peters, Sheila Annie
Schuck, Edgar
Sharma, Pradeep
Tracey, Helen
Upreti, Vijay V.
Zheng, Ming
Zhu, Andy Z.X.
Hall, Stephen D.
author_sort Chen, Yuan
collection PubMed
description Regulatory agencies currently recommend itraconazole (ITZ) as a strong cytochrome P450 3A (CYP3A) inhibitor for clinical drug–drug interaction (DDI) studies. This work by an International Consortium for Innovation and Quality in Pharmaceutical Development working group (WG) is to develop and verify a mechanistic ITZ physiologically‐based pharmacokinetic model and provide recommendations for optimal DDI study design based on model simulations. To support model development and verification, in vitro and clinical PK data for ITZ and its metabolites were collected from WG member companies. The model predictions of ITZ DDIs with seven different CYP3A substrates were within the guest criteria for 92% of area under the concentration‐time curve ratios and 95% of maximum plasma concentration ratios, thus verifying the model for DDI predictions. The verified model was used to simulate various clinical DDI study scenarios considering formulation, duration of dosing, dose regimen, and food status to recommend the optimal design for maximal inhibitory effect by ITZ.
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spelling pubmed-67656982019-09-30 Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model Chen, Yuan Cabalu, Tamara D. Callegari, Ernesto Einolf, Heidi Liu, Lichuan Parrott, Neil Peters, Sheila Annie Schuck, Edgar Sharma, Pradeep Tracey, Helen Upreti, Vijay V. Zheng, Ming Zhu, Andy Z.X. Hall, Stephen D. CPT Pharmacometrics Syst Pharmacol Research Regulatory agencies currently recommend itraconazole (ITZ) as a strong cytochrome P450 3A (CYP3A) inhibitor for clinical drug–drug interaction (DDI) studies. This work by an International Consortium for Innovation and Quality in Pharmaceutical Development working group (WG) is to develop and verify a mechanistic ITZ physiologically‐based pharmacokinetic model and provide recommendations for optimal DDI study design based on model simulations. To support model development and verification, in vitro and clinical PK data for ITZ and its metabolites were collected from WG member companies. The model predictions of ITZ DDIs with seven different CYP3A substrates were within the guest criteria for 92% of area under the concentration‐time curve ratios and 95% of maximum plasma concentration ratios, thus verifying the model for DDI predictions. The verified model was used to simulate various clinical DDI study scenarios considering formulation, duration of dosing, dose regimen, and food status to recommend the optimal design for maximal inhibitory effect by ITZ. John Wiley and Sons Inc. 2019-08-07 2019-09 /pmc/articles/PMC6765698/ /pubmed/31215774 http://dx.doi.org/10.1002/psp4.12449 Text en © 2019 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Chen, Yuan
Cabalu, Tamara D.
Callegari, Ernesto
Einolf, Heidi
Liu, Lichuan
Parrott, Neil
Peters, Sheila Annie
Schuck, Edgar
Sharma, Pradeep
Tracey, Helen
Upreti, Vijay V.
Zheng, Ming
Zhu, Andy Z.X.
Hall, Stephen D.
Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model
title Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model
title_full Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model
title_fullStr Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model
title_full_unstemmed Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model
title_short Recommendations for the Design of Clinical Drug–Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically‐Based Pharmacokinetic Model
title_sort recommendations for the design of clinical drug–drug interaction studies with itraconazole using a mechanistic physiologically‐based pharmacokinetic model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765698/
https://www.ncbi.nlm.nih.gov/pubmed/31215774
http://dx.doi.org/10.1002/psp4.12449
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