Physiologically Based Pharmacokinetic (PBPK) Modeling in Children

descriptionPublicationkeyboard_double_arrow_right Article 06 Jun 2012Publisher:WileyJournal:Clinical Pharmacology & Therapeutics, volume 92, pages 40-49 (issn: 0009-9236, eissn: 1532-6535,

Copyright policy )

Authors: J S, Barrett; O, Della Casa Alberighi; S, Läer; B, Meibohm;

doi: 10.1038/clpt.2012.64

pmid: 22669290

Physiologically Based Pharmacokinetic (PBPK) Modeling in Children

- Summary
- Subjects
- Metrics

Abstract

This review summarizes the present status of physiologically based pharmacokinetic (PBPK) modeling and simulation (M&S) and its application in support of pediatric drug research. We address the reasons that PBPK is suited to the current needs of pediatric drug development and pharmacotherapy in light of the evolution in pediatric PBPK methodologies and approaches, which were originally developed for the purpose of toxicologic evaluation. Also discussed is the current degree of confidence in using PBPK to support pediatric drug development and registration and the key factors essential for robust results and broader adoption of pediatric PBPK M&S.

Related Organizations

University of Duesseldorf
Germany
Boston Children's Hospital
United States
Heinrich Heine University Düsseldorf
Germany
University of Tennessee Health Science Center
United States
Children's Hospital of Philadelphia
United States

Keywords

Clinical Trials as Topic, Biomedical Research, Models, Biological, Pediatrics, Risk Assessment, Pharmaceutical Preparations, Pharmacology, Clinical, Humans, Computer Simulation, Pharmacokinetics, Child, Drug Approval, Pharmacological Phenomena

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	170
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%