Literature DB >> 27999009

Use of a physiologically based pharmacokinetic model to simulate drug-drug interactions between antineoplastic and antiretroviral drugs.

José Moltó1,2, Rajith Rajoli3, David Back3, Marta Valle2,4, Cristina Miranda1, Andrew Owen3, Bonaventura Clotet1,2,5,6, Marco Siccardi3.   

Abstract

Background: Co-administration of antineoplastics with ART is challenging due to potential drug-drug interactions (DDIs). However, trials specifically assessing such DDIs are lacking. Our objective was to simulate DDIs between the antineoplastics erlotinib and gefitinib with key antiretroviral drugs and to predict dose adjustments using a physiologically based pharmacokinetic (PBPK) model.
Methods: In vitro data describing chemical properties and pharmacokinetic processes of each drug and their effect on cytochrome P450 isoforms were obtained from the literature. Plasma drug-concentration profiles were simulated in a virtual population of 50 individuals receiving erlotinib or gefitinib alone or with darunavir/ritonavir, efavirenz or etravirine. Simulated pharmacokinetic parameters and the magnitude of DDIs with probe drugs (midazolam, maraviroc) were compared with literature values. Erlotinib and gefitinib pharmacokinetics with and without antiretrovirals were compared and dose-adjustment strategies were evaluated.
Results: Simulated parameters of each drug and the magnitude of DDIs with probe drugs were in agreement with reference values. Darunavir/ritonavir increased erlotinib and gefitinib exposure, while efavirenz and etravirine decreased erlotinib and gefitinib concentrations. Based on our predictions, dose-adjustment strategies may consist of once-daily dosing erlotinib at 25 mg and gefitinib at 125 mg with darunavir/ritonavir; or erlotinib at 200 mg and gefitinib at 375 mg with etravirine. The interaction with efavirenz was not overcome even after doubling erlotinib or gefitinib doses. Conclusions: PBPK models predicted the in vivo pharmacokinetics of erlotinib, gefitinib and the antiretrovirals darunavir/ritonavir, efavirenz and etravirine, and the DDIs between them. The simulated dose-adjustments may represent valuable strategies to optimize antineoplastic therapy in HIV-infected patients.
© The Author 2016. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2017        PMID: 27999009     DOI: 10.1093/jac/dkw485

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  6 in total

1.  Predicting Drug-Drug Interactions Between Rifampicin and Long-Acting Cabotegravir and Rilpivirine Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Rajith K R Rajoli; Paul Curley; Justin Chiong; David Back; Charles Flexner; Andrew Owen; Marco Siccardi
Journal:  J Infect Dis       Date:  2019-05-05       Impact factor: 5.226

2.  A case of esophageal cancer with human immunodeficiency virus infection that progressed rapidly after neoadjuvant chemoradiotherapy.

Authors:  Yuka Hayakawa; Katsumasa Kobayashi; Naoya Sakamoto; Mana Matsuoka; Takahito Nozaka; Yoshitsugu Misumi; Taichi Matsumoto; Natsuki Miura; Yohei Furumoto; Toru Asano; Takao Horiuchi; Kazuhiko Fujiki
Journal:  Clin J Gastroenterol       Date:  2019-07-27

3.  Influence of Uridine Diphosphate Glucuronosyltransferase Family 1 Member A1 and Solute Carrier Organic Anion Transporter Family 1 Member B1 Polymorphisms and Efavirenz on Bilirubin Disposition in Healthy Volunteers.

Authors:  Kimberly S Collins; Ingrid F Metzger; Brandon T Gufford; Jessica B Lu; Elizabeth B Medeiros; Victoria M Pratt; Todd C Skaar; Zeruesenay Desta
Journal:  Drug Metab Dispos       Date:  2019-12-30       Impact factor: 3.922

4.  Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs.

Authors:  Perrine Courlet; Monia Guidi; Susana Alves Saldanha; Matthias Cavassini; Marcel Stoeckle; Thierry Buclin; Catia Marzolini; Laurent A Decosterd; Chantal Csajka
Journal:  Eur J Clin Pharmacol       Date:  2021-01-16       Impact factor: 2.953

5.  A comprehensive framework for physiologically based pharmacokinetic modelling in Matlab®.

Authors:  Felix Stader; Melissa A Penny; Marco Siccardi; Catia Marzolini
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-02-18

6.  Predicting Drug-Drug Interactions between Rifampicin and Ritonavir-Boosted Atazanavir Using PBPK Modelling.

Authors:  Maiara Camotti Montanha; Francesc Fabrega; Alice Howarth; Nicolas Cottura; Hannah Kinvig; Fazila Bunglawala; Andrew Lloyd; Paolo Denti; Catriona Waitt; Marco Siccardi
Journal:  Clin Pharmacokinet       Date:  2021-10-12       Impact factor: 5.577

  6 in total

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