Literature DB >> 26139104

Meta-analysis of hepatic cytochrome P450 ontogeny to underwrite the prediction of pediatric pharmacokinetics using physiologically based pharmacokinetic modeling.

Vijay V Upreti1, Jan L Wahlstrom2.   

Abstract

The accurate prediction of pharmacokinetics (PK) is fundamental to underwriting safety and efficacy in pediatric clinical trials; age-dependent PK may be observed with pediatrics because of the growth and maturation processes that occur during development. Understanding the ontogeny of drug-metabolizing enzymes is a critical enabler for pediatric PK prediction, as enzyme expression or activity may change with age. Although ontogeny functions for the cytochrome P450s (CYPs) have been developed, disconnects between ontogeny functions for the same CYP may exist, depending on whether the functions were derived from in vitro or in vivo data. This report describes the development of ontogeny functions for all the major hepatic CYPs based on in vitro or in vivo data; these ontogeny functions were subsequently incorporated into a physiologically based pharmacokinetic model and evaluated. Pediatric PK predictions based on in vivo-derived ontogeny functions performed markedly better than those developed from in vitro data for intravenous (100% versus 51% within 2-fold, respectively) and oral (98% versus 67%, respectively) dosing. The verified models were then applied to complex pediatric scenarios involving active metabolites, CYP polymorphisms and physiological changes because of critical illness; the models reasonably explained the observed age-dependent changes in pediatric PK.
© 2015, The American College of Clinical Pharmacology.

Entities:  

Keywords:  cytochrome P450; ontogeny; pediatrics; pharmacokinetics; physiologically based pharmacokinetic modeling

Mesh:

Substances:

Year:  2015        PMID: 26139104     DOI: 10.1002/jcph.585

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  40 in total

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Review 4.  Pediatric Clinical Pharmacology of Voriconazole: Role of Pharmacokinetic/Pharmacodynamic Modeling in Pharmacotherapy.

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5.  Impact of Obesity on Voriconazole Pharmacokinetics among Pediatric Hematopoietic Cell Transplant Recipients.

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Review 6.  Voriconazole: A Review of Population Pharmacokinetic Analyses.

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7.  Investigating Oral Absorption of Carbamazepine in Pediatric Populations.

Authors:  Philip Kohlmann; Cordula Stillhart; Martin Kuentz; Neil Parrott
Journal:  AAPS J       Date:  2017-10-02       Impact factor: 4.009

8.  The use of PBPK modeling across the pediatric age range using propofol as a case.

Authors:  Robin Michelet; Jan Van Bocxlaer; Karel Allegaert; An Vermeulen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-10-08       Impact factor: 2.745

Review 9.  The Ontogeny of UDP-glucuronosyltransferase Enzymes, Recommendations for Future Profiling Studies and Application Through Physiologically Based Pharmacokinetic Modelling.

Authors:  Justine Badée; Stephen Fowler; Saskia N de Wildt; Abby C Collier; Stephan Schmidt; Neil Parrott
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

10.  Utilizing Pediatric Physiologically Based Pharmacokinetic Models to Examine Factors That Contribute to Methadone Pharmacokinetic Variability in Neonatal Abstinence Syndrome Patients.

Authors:  Brooks T McPhail; Chie Emoto; Tsuyoshi Fukuda; Dawn Butler; Jason R Wiles; Henry Akinbi; Alexander A Vinks
Journal:  J Clin Pharmacol       Date:  2019-12-09       Impact factor: 3.126

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