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Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition

The objective of this study was to develop pediatric physiologically based pharmacokinetic (PBPK) models for pantoprazole and esomeprazole. Pediatric PBPK models were developed by Simcyp version 15 by incorporating cytochrome P450 (CYP)2C19 maturation and auto‐inhibition. The predicted‐to‐observed p...

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Autores principales: Duan, Peng, Wu, Fang, Moore, Jason N., Fisher, Jeffrey, Crentsil, Victor, Gonzalez, Daniel, Zhang, Lei, Burckart, Gilbert J., Wang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430158/
https://www.ncbi.nlm.nih.gov/pubmed/30520273
http://dx.doi.org/10.1002/psp4.12350
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author Duan, Peng
Wu, Fang
Moore, Jason N.
Fisher, Jeffrey
Crentsil, Victor
Gonzalez, Daniel
Zhang, Lei
Burckart, Gilbert J.
Wang, Jian
author_facet Duan, Peng
Wu, Fang
Moore, Jason N.
Fisher, Jeffrey
Crentsil, Victor
Gonzalez, Daniel
Zhang, Lei
Burckart, Gilbert J.
Wang, Jian
author_sort Duan, Peng
collection PubMed
description The objective of this study was to develop pediatric physiologically based pharmacokinetic (PBPK) models for pantoprazole and esomeprazole. Pediatric PBPK models were developed by Simcyp version 15 by incorporating cytochrome P450 (CYP)2C19 maturation and auto‐inhibition. The predicted‐to‐observed pantoprazole clearance (CL) ratio ranged from 0.96–1.35 in children 1–17 years of age and 0.43–0.70 in term infants. The predicted‐to‐observed esomeprazole CL ratio ranged from 1.08–1.50 for children 6–17 years of age, and 0.15–0.33 for infants. The prediction was markedly improved by assuming no auto‐inhibition of esomeprazole in infants in the PBPK model. Our results suggested that the CYP2C19 auto‐inhibition model was appropriate for esomeprazole in adults and older children but could not be directly extended to infants. A better understanding of the complex interplay of enzyme maturation, inhibition, and compensatory mechanisms for CYP2C19 is necessary for PBPK modeling in infants.
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spelling pubmed-64301582019-04-01 Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition Duan, Peng Wu, Fang Moore, Jason N. Fisher, Jeffrey Crentsil, Victor Gonzalez, Daniel Zhang, Lei Burckart, Gilbert J. Wang, Jian CPT Pharmacometrics Syst Pharmacol Research The objective of this study was to develop pediatric physiologically based pharmacokinetic (PBPK) models for pantoprazole and esomeprazole. Pediatric PBPK models were developed by Simcyp version 15 by incorporating cytochrome P450 (CYP)2C19 maturation and auto‐inhibition. The predicted‐to‐observed pantoprazole clearance (CL) ratio ranged from 0.96–1.35 in children 1–17 years of age and 0.43–0.70 in term infants. The predicted‐to‐observed esomeprazole CL ratio ranged from 1.08–1.50 for children 6–17 years of age, and 0.15–0.33 for infants. The prediction was markedly improved by assuming no auto‐inhibition of esomeprazole in infants in the PBPK model. Our results suggested that the CYP2C19 auto‐inhibition model was appropriate for esomeprazole in adults and older children but could not be directly extended to infants. A better understanding of the complex interplay of enzyme maturation, inhibition, and compensatory mechanisms for CYP2C19 is necessary for PBPK modeling in infants. John Wiley and Sons Inc. 2018-12-05 2019-03 /pmc/articles/PMC6430158/ /pubmed/30520273 http://dx.doi.org/10.1002/psp4.12350 Text en Published 2018. This article is a U.S. Government work and is in the public domain in the USA. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Duan, Peng
Wu, Fang
Moore, Jason N.
Fisher, Jeffrey
Crentsil, Victor
Gonzalez, Daniel
Zhang, Lei
Burckart, Gilbert J.
Wang, Jian
Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition
title Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition
title_full Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition
title_fullStr Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition
title_full_unstemmed Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition
title_short Assessing CYP2C19 Ontogeny in Neonates and Infants Using Physiologically Based Pharmacokinetic Models: Impact of Enzyme Maturation Versus Inhibition
title_sort assessing cyp2c19 ontogeny in neonates and infants using physiologically based pharmacokinetic models: impact of enzyme maturation versus inhibition
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430158/
https://www.ncbi.nlm.nih.gov/pubmed/30520273
http://dx.doi.org/10.1002/psp4.12350
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