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Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan
A combination of the antipsychotic olanzapine and the opioid receptor antagonist samidorphan (OLZ/SAM) is intended to provide the antipsychotic efficacy of olanzapine while mitigating olanzapine‐associated weight gain. As cytochrome P450 (CYP) 1A2 and CYP3A4 are the major enzymes involved in metabol...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020312/ https://www.ncbi.nlm.nih.gov/pubmed/31919994 http://dx.doi.org/10.1002/psp4.12488 |
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author | Sun, Lei von Moltke, Lisa Rowland Yeo, Karen |
author_facet | Sun, Lei von Moltke, Lisa Rowland Yeo, Karen |
author_sort | Sun, Lei |
collection | PubMed |
description | A combination of the antipsychotic olanzapine and the opioid receptor antagonist samidorphan (OLZ/SAM) is intended to provide the antipsychotic efficacy of olanzapine while mitigating olanzapine‐associated weight gain. As cytochrome P450 (CYP) 1A2 and CYP3A4 are the major enzymes involved in metabolism of olanzapine and samidorphan, respectively, physiologically‐based pharmacokinetic (PBPK) modeling was applied to predict any drug‐drug interaction (DDI) potential between olanzapine and samidorphan or between OLZ/SAM and CYP3A4/CYP1A2 inhibitors/inducers. A PBPK model for OLZ/SAM was developed and validated by comparing model‐simulated data with observed clinical study data. Based on model‐based simulations, no DDI between olanzapine and samidorphan is expected when administered as OLZ/SAM. CYP3A4 inhibition is predicted to have a weak effect on samidorphan exposure and negligible effect on olanzapine exposure. CYP3A4 induction is predicted to reduce both samidorphan and olanzapine exposure. CYP1A2 inhibition or induction is predicted to increase or decrease, respectively, olanzapine exposure only. |
format | Online Article Text |
id | pubmed-7020312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70203122020-03-06 Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan Sun, Lei von Moltke, Lisa Rowland Yeo, Karen CPT Pharmacometrics Syst Pharmacol Research A combination of the antipsychotic olanzapine and the opioid receptor antagonist samidorphan (OLZ/SAM) is intended to provide the antipsychotic efficacy of olanzapine while mitigating olanzapine‐associated weight gain. As cytochrome P450 (CYP) 1A2 and CYP3A4 are the major enzymes involved in metabolism of olanzapine and samidorphan, respectively, physiologically‐based pharmacokinetic (PBPK) modeling was applied to predict any drug‐drug interaction (DDI) potential between olanzapine and samidorphan or between OLZ/SAM and CYP3A4/CYP1A2 inhibitors/inducers. A PBPK model for OLZ/SAM was developed and validated by comparing model‐simulated data with observed clinical study data. Based on model‐based simulations, no DDI between olanzapine and samidorphan is expected when administered as OLZ/SAM. CYP3A4 inhibition is predicted to have a weak effect on samidorphan exposure and negligible effect on olanzapine exposure. CYP3A4 induction is predicted to reduce both samidorphan and olanzapine exposure. CYP1A2 inhibition or induction is predicted to increase or decrease, respectively, olanzapine exposure only. John Wiley and Sons Inc. 2020-01-31 2020-02 /pmc/articles/PMC7020312/ /pubmed/31919994 http://dx.doi.org/10.1002/psp4.12488 Text en © 2020 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 Sun, Lei von Moltke, Lisa Rowland Yeo, Karen Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan |
title | Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan |
title_full | Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan |
title_fullStr | Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan |
title_full_unstemmed | Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan |
title_short | Physiologically‐Based Pharmacokinetic Modeling for Predicting Drug Interactions of a Combination of Olanzapine and Samidorphan |
title_sort | physiologically‐based pharmacokinetic modeling for predicting drug interactions of a combination of olanzapine and samidorphan |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020312/ https://www.ncbi.nlm.nih.gov/pubmed/31919994 http://dx.doi.org/10.1002/psp4.12488 |
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