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Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling

Tuberculosis remains the leading cause of death among people living with HIV. Rifapentine is increasingly used to treat active disease or prevent reactivation, in both cases given either as weekly or daily therapy. However, rifapentine is an inducer of CYP3A4, potentially interacting with antiretrov...

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Autores principales: Grañana-Castillo, Sandra, Montanha, Maiara Camotti, Bearon, Rachel, Khoo, Saye, Siccardi, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797969/
https://www.ncbi.nlm.nih.gov/pubmed/36588698
http://dx.doi.org/10.3389/fphar.2022.1076266
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author Grañana-Castillo, Sandra
Montanha, Maiara Camotti
Bearon, Rachel
Khoo, Saye
Siccardi, Marco
author_facet Grañana-Castillo, Sandra
Montanha, Maiara Camotti
Bearon, Rachel
Khoo, Saye
Siccardi, Marco
author_sort Grañana-Castillo, Sandra
collection PubMed
description Tuberculosis remains the leading cause of death among people living with HIV. Rifapentine is increasingly used to treat active disease or prevent reactivation, in both cases given either as weekly or daily therapy. However, rifapentine is an inducer of CYP3A4, potentially interacting with antiretrovirals like rilpivirine. This in silico study investigates the drug-drug interaction (DDI) magnitude between daily oral rilpivirine 25 mg with either daily 600 mg or weekly 900 mg rifapentine. A physiologically based pharmacokinetic (PBPK) model was built in Simbiology (Matlab R2018a) to simulate the drug-drug interaction. The simulated PK parameters from the PBPK model were verified against reported clinical data for rilpivirine and rifapentine separately, daily rifapentine with midazolam, and weekly rifapentine with doravirine. The simulations of concomitant administration of rifapentine with rilpivirine at steady-state lead to a maximum decrease on AUC(0-24) and C(trough) by 83% and 92% on day 5 for the daily rifapentine regimen and 68% and 92% for the weekly regimen on day 3. In the weekly regimen, prior to the following dose, AUC(0-24) and C(trough) were still reduced by 47% and 53%. In both simulations, the induction effect ceased 2 weeks after the interruption of rifapentine’s treatment. A daily double dose of rilpivirine after initiating rifapentine 900 mg weekly was simulated but failed to compensate the drug-drug interaction. The drug-drug interaction model suggested a significant decrease on rilpivirine exposure which is unlikely to be corrected by dose increment, thus coadministration should be avoided.
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spelling pubmed-97979692022-12-30 Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling Grañana-Castillo, Sandra Montanha, Maiara Camotti Bearon, Rachel Khoo, Saye Siccardi, Marco Front Pharmacol Pharmacology Tuberculosis remains the leading cause of death among people living with HIV. Rifapentine is increasingly used to treat active disease or prevent reactivation, in both cases given either as weekly or daily therapy. However, rifapentine is an inducer of CYP3A4, potentially interacting with antiretrovirals like rilpivirine. This in silico study investigates the drug-drug interaction (DDI) magnitude between daily oral rilpivirine 25 mg with either daily 600 mg or weekly 900 mg rifapentine. A physiologically based pharmacokinetic (PBPK) model was built in Simbiology (Matlab R2018a) to simulate the drug-drug interaction. The simulated PK parameters from the PBPK model were verified against reported clinical data for rilpivirine and rifapentine separately, daily rifapentine with midazolam, and weekly rifapentine with doravirine. The simulations of concomitant administration of rifapentine with rilpivirine at steady-state lead to a maximum decrease on AUC(0-24) and C(trough) by 83% and 92% on day 5 for the daily rifapentine regimen and 68% and 92% for the weekly regimen on day 3. In the weekly regimen, prior to the following dose, AUC(0-24) and C(trough) were still reduced by 47% and 53%. In both simulations, the induction effect ceased 2 weeks after the interruption of rifapentine’s treatment. A daily double dose of rilpivirine after initiating rifapentine 900 mg weekly was simulated but failed to compensate the drug-drug interaction. The drug-drug interaction model suggested a significant decrease on rilpivirine exposure which is unlikely to be corrected by dose increment, thus coadministration should be avoided. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9797969/ /pubmed/36588698 http://dx.doi.org/10.3389/fphar.2022.1076266 Text en Copyright © 2022 Grañana-Castillo, Montanha, Bearon, Khoo and Siccardi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Grañana-Castillo, Sandra
Montanha, Maiara Camotti
Bearon, Rachel
Khoo, Saye
Siccardi, Marco
Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling
title Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling
title_full Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling
title_fullStr Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling
title_full_unstemmed Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling
title_short Evaluation of drug-drug interaction between rilpivirine and rifapentine using PBPK modelling
title_sort evaluation of drug-drug interaction between rilpivirine and rifapentine using pbpk modelling
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797969/
https://www.ncbi.nlm.nih.gov/pubmed/36588698
http://dx.doi.org/10.3389/fphar.2022.1076266
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