Literature DB >> 31860112

Prediction of dolutegravir pharmacokinetics and dose optimization in neonates via physiologically based pharmacokinetic (PBPK) modelling.

Fazila Bunglawala1, Rajith K R Rajoli1, Mark Mirochnick2, Andrew Owen1, Marco Siccardi1.   

Abstract

BACKGROUND: Only a few antiretroviral drugs (ARVs) are recommended for use during the neonatal period and there is a need for more to be approved to increase treatment and prophylaxis strategies. Dolutegravir, a selective integrase inhibitor, has potential for treatment of HIV infection and prophylaxis of transmission in neonates.
OBJECTIVES: To model the pharmacokinetics of dolutegravir in neonates and to simulate a theoretical optimal dosing regimen.
METHODS: The physiologically based pharmacokinetic (PBPK) model was built incorporating the age-related changes observed in neonates. Virtual neonates between 0 and 28 days were simulated. The model was validated against observed clinical data for raltegravir and midazolam in neonates, prior to the prediction of dolutegravir pharmacokinetics.
RESULTS: Both raltegravir and midazolam passed the criteria for model qualification, with simulated data within 1.8-fold of clinical data. The qualified model predicted the pharmacokinetics for several multidose regimens of dolutegravir. Regimen 6 involved 5 mg doses with a 48 h interval from Day 1-20, increasing to 5 mg once daily on Week 3, yielding AUC and Ctrough values of 37.2 mg·h/L and 1.3 mg/L, respectively. These exposures are consistent with those observed in paediatric patients receiving dolutegravir.
CONCLUSIONS: Dolutegravir pharmacokinetics were successfully simulated in the neonatal PBPK model. The predictions suggest that during the first 3 weeks of life a 5 mg dose administered every 48 h may achieve plasma exposures needed for therapy and prophylaxis.
© The Author(s) 2019. 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:  2020        PMID: 31860112     DOI: 10.1093/jac/dkz506

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


  4 in total

1.  Physiologically Based Pharmacokinetic Modeling Framework to Predict Neonatal Pharmacokinetics of Transplacentally Acquired Emtricitabine, Dolutegravir, and Raltegravir.

Authors:  Xiaomei I Liu; Jeremiah D Momper; Natella Y Rakhmanina; Dionna J Green; Gilbert J Burckart; Tim R Cressey; Mark Mirochnick; Brookie M Best; John N van den Anker; André Dallmann
Journal:  Clin Pharmacokinet       Date:  2021-02-02       Impact factor: 5.577

2.  The Association for Human Pharmacology in the Pharmaceutical Industry London Meeting October 2019: Impending Change, Innovation, and Future Challenges.

Authors:  Shahzadgai Khan; Muna Albayaty; James Bush; Joseph Cheriyan; Anthea Cromie; Annelize Koch; Michael Hammond; Stuart Mair; Ulrike Lorch; Steffan Stringer; Jorg Taubel; Timothy C Hardman
Journal:  Front Pharmacol       Date:  2020-11-19       Impact factor: 5.810

3.  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

Review 4.  Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development.

Authors:  Kefei Wang; Kun Jiang; Xiaoyi Wei; Yulan Li; Tiejie Wang; Yang Song
Journal:  AAPS PharmSciTech       Date:  2021-07-26       Impact factor: 3.246

  4 in total

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