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Comparison between physiologically based pharmacokinetic and population pharmacokinetic modelling to select paediatric doses of gepotidacin in plague.

Authors :
Nguyen, Dung
Shaik, Jafar Sadik
Tai, Guoying
Tiffany, Courtney
Perry, Caroline
Dumont, Etienne
Gardiner, David
Barth, Aline
Singh, Rajendra
Hossain, Mohammad
Source :
British Journal of Clinical Pharmacology. Feb2022, Vol. 88 Issue 2, p416-428. 13p.
Publication Year :
2022

Abstract

Aims: To develop physiologically based pharmacokinetic (PBPK) and population pharmacokinetic (PopPK) models to predict effective doses of gepotidacin in paediatrics for the treatment of pneumonic plague (Yersinia pestis). Methods: A gepotidacin PBPK model was constructed using a population‐based absorption, distribution, metabolism and excretion simulator, Simcyp®, with physicochemical and in vitro data, optimized with clinical data from a dose‐escalation intravenous (IV) study and a human mass balance study. A PopPK model was developed with pooled PK data from phase 1 studies with IV gepotidacin in healthy adults. Results: For both the PopPK and PBPK models, body weight was found to be a key covariate affecting gepotidacin clearance. With PBPK, ~90% of the predicted PK for paediatrics fell between the 5th and 95th percentiles of adult values except for subjects weighing ≤5 kg. PopPK‐simulated paediatric means for Cmax and AUC(0‐τ) were similar to adult exposures across various weight brackets. The proposed dosing regimens were weight‐based for subjects ≤40 kg and fixed‐dose for subjects >40 kg. Comparison of observed and predicted exposures in adults indicated that both PBPK and PopPK models achieved similar AUC and Cmax for a given dose, but the Cmax predictions with PopPK were slightly higher than with PBPK. The two models differed on dose predictions in children <3 months old. The PopPK model may be suboptimal for low age groups due to the absence of maturation characterization of drug‐metabolizing enzymes involved with clearance in adults. Conclusions: Both PBPK and PopPK approaches can reasonably predict gepotidacin exposures in children. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03065251
Volume :
88
Issue :
2
Database :
Academic Search Index
Journal :
British Journal of Clinical Pharmacology
Publication Type :
Academic Journal
Accession number :
155029527
Full Text :
https://doi.org/10.1111/bcp.14996