Literature DB >> 33283268

Impact of Hepatic CYP3A4 Ontogeny Functions on Drug-Drug Interaction Risk in Pediatric Physiologically-Based Pharmacokinetic/Pharmacodynamic Modeling: Critical Literature Review and Ivabradine Case Study.

Jennifer Lang1, Ludwig Vincent2, Marylore Chenel3, Kayode Ogungbenro1, Aleksandra Galetin1.   

Abstract

Clinical assessment of drug-drug interactions (DDIs) in children is not a common practice in drug development. Therefore, physiologically-based pharmacokinetic (PBPK) modeling can be beneficial for informing drug labeling. Using ivabradine and its metabolite (both cytochrome P450 3A4 enzyme (CYP3A4) substrates), the objectives were (i) to scale ivabradine-metabolite adult PBPK/PD to pediatrics, (ii) to predict the DDIs with a strong CYP3A4 inhibitor, and (iii) to compare the sensitivity of children to DDIs using two CYP3A4 hepatic ontogeny functions: Salem and Upreti. A scaled parent-metabolite PBPK/PD model from adults to children satisfactorily predicted pharmacokinetics (PK) and pharmacodynamics (PD) in 74 children (0.5-18 years) regardless of CYP3A4 hepatic ontogeny function applied. However, using the Salem ontogeny, mean predicted parent and metabolite area under the concentration-time curve over 12 hours (AUC12h ) and heart rate change from baseline were 2-fold, 1.5-fold, and 1.4-fold higher in young children (0.5-3 years old) compared with Upreti ontogeny, respectively. Despite these differences, choice of appropriate hepatic CYP3A4 ontogeny was challenging due to sparse PK and PD data. Different sensitivity to ivabradine-ketoconazole DDIs was simulated in young children relative to adults depending on the choice of hepatic CYP3A4 ontogeny. Predicted ivabradine and metabolite AUCDDI /AUCcontrol were 2-fold lower in the youngest children (0.5-1 year old) compared with adults (Salem function). In contrast, the Upreti function predicted comparable ivabradine DDIs across all age groups, although predicted metabolite AUCDDI/ AUCcontrol was 1.3-fold higher between the youngest children and adults. In the case of PD, differences in predicted DDIs were minor across age groups and between both functions. Current work highlights the importance of careful consideration of hepatic CYP3A4 ontogeny function and implications on labeling recommendations in the pediatric population.
© 2020 The Authors. Clinical Pharmacology & Therapeutics © 2020 American Society for Clinical Pharmacology and Therapeutics.

Entities:  

Year:  2020        PMID: 33283268     DOI: 10.1002/cpt.2134

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  5 in total

Review 1.  Recent advances in the ontogeny of drug disposition.

Authors:  Brian D Chapron; Alenka Chapron; J Steven Leeder
Journal:  Br J Clin Pharmacol       Date:  2021-04-15       Impact factor: 3.716

2.  Physiologically based pharmacokinetic modeling of tadalafil to inform pediatric dose selection in children with pulmonary arterial hypertension.

Authors:  Jessica Rehmel; Lisa Ferguson-Sells; Bridget L Morse; Baohui Li; Gemma L Dickinson
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-12-01

3.  Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations.

Authors:  Trevor N Johnson; Ben G Small; Karen Rowland Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-17

4.  Model-Based Drug-Drug Interaction Extrapolation Strategy From Adults to Children: Risdiplam in Pediatric Patients With Spinal Muscular Atrophy.

Authors:  Yumi Cleary; Michael Gertz; Paul Grimsey; Andreas Günther; Katja Heinig; Kayode Ogungbenro; Leon Aarons; Aleksandra Galetin; Heidemarie Kletzl
Journal:  Clin Pharmacol Ther       Date:  2021-09-01       Impact factor: 6.903

Review 5.  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

  5 in total

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