Literature DB >> 32246949

Physiologically-based pharmacokinetic models for children: Starting to reach maturation?

Laurens F M Verscheijden1, Jan B Koenderink1, Trevor N Johnson2, Saskia N de Wildt3, Frans G M Russel4.   

Abstract

Developmental changes in children can affect the disposition and clinical effects of a drug, indicating that scaling an adult dose simply down per linear weight can potentially lead to overdosing, especially in very young children. Physiologically-based pharmacokinetic (PBPK) models are compartmental, mathematical models that can be used to predict plasma drug concentrations in pediatric populations and acquire insight into the influence of age-dependent physiological differences on drug disposition. Pediatric PBPK models have generated attention in the last decade, because physiological parameters for model building are increasingly available and regulatory guidelines demand pediatric studies during drug development. Due to efforts from academia, PBPK model developers, pharmaceutical companies and regulatory authorities, examples are now available where clinical studies in children have been replaced or informed by PBPK models. However, the number of pediatric PBPK models and their predictive performance still lags behind that of adult models. In this review we discuss the general pediatric PBPK model principles, indicate the challenges that can arise when developing models, and highlight new applications, to give an overview of the current status and future perspective of pediatric PBPK modeling.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Children; Model-informed drug dosing; Ontogeny; PBPK; Pediatrics; Physiologically-based pharmacokinetic modeling

Mesh:

Substances:

Year:  2020        PMID: 32246949     DOI: 10.1016/j.pharmthera.2020.107541

Source DB:  PubMed          Journal:  Pharmacol Ther        ISSN: 0163-7258            Impact factor:   12.310


  20 in total

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Review 8.  The Combination of Cell Cultured Technology and In Silico Model to Inform the Drug Development.

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Review 9.  Pediatric Drug-Drug Interaction Evaluation: Drug, Patient Population, and Methodological Considerations.

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Journal:  J Clin Pharmacol       Date:  2021-06       Impact factor: 2.860

10.  Differences in P-glycoprotein activity in human and rodent blood-brain barrier assessed by mechanistic modelling.

Authors:  Laurens F M Verscheijden; Jan B Koenderink; Saskia N de Wildt; Frans G M Russel
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