Literature DB >> 22472993

Regulatory experience with physiologically based pharmacokinetic modeling for pediatric drug trials.

R Leong1, M L T Vieira, P Zhao, Y Mulugeta, C S Lee, S-M Huang, G J Burckart.   

Abstract

Physiologically based pharmacokinetic (PBPK) approaches that incorporate the developmental physiology and ontogeny of cytochrome P450 (CYP) enzymes may have value in the design of pediatric trials. Four recent submissions to the US Food and Drug Administration (FDA) incorporated different PBPK applications to pediatric drug development.Further testing of PBPK models for three drugs showed that these models generally under predicted drug clearance. PBPK modeling may have potential for improving pediatric trials through the learn-and-confirm approaches utilized in current regulatory submissions.

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Year:  2012        PMID: 22472993     DOI: 10.1038/clpt.2012.19

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


  59 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

Review 2.  Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

Authors:  Yuan Luo; William K Thompson; Timothy M Herr; Zexian Zeng; Mark A Berendsen; Siddhartha R Jonnalagadda; Matthew B Carson; Justin Starren
Journal:  Drug Saf       Date:  2017-11       Impact factor: 5.606

Review 3.  State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development.

Authors:  Venkata Yellepeddi; Joseph Rower; Xiaoxi Liu; Shaun Kumar; Jahidur Rashid; Catherine M T Sherwin
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

Review 4.  Optimizing drug development of anti-cancer drugs in children using modelling and simulation.

Authors:  Johan G C van Hasselt; Natasha K A van Eijkelenburg; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2013-07       Impact factor: 4.335

Review 5.  Pharmacokinetic studies in infants using minimal-risk study designs.

Authors:  Julie Autmizguine; Daniel K Benjamin; P Brian Smith; Mario Sampson; Philippe Ovetchkine; Michael Cohen-Wolkowiez; Kevin M Watt
Journal:  Curr Clin Pharmacol       Date:  2014

Review 6.  Development of Drug Therapies for Newborns and Children: The Scientific and Regulatory Imperatives.

Authors:  Yeruk Lily Mulugeta; Anne Zajicek; Jeff Barrett; Hari Cheryl Sachs; Susan McCune; Vikram Sinha; Lynne Yao
Journal:  Pediatr Clin North Am       Date:  2017-12       Impact factor: 3.278

7.  Predicting nonlinear pharmacokinetics of omeprazole enantiomers and racemic drug using physiologically based pharmacokinetic modeling and simulation: application to predict drug/genetic interactions.

Authors:  Fang Wu; Lu Gaohua; Ping Zhao; Masoud Jamei; Shiew-Mei Huang; Edward D Bashaw; Sue-Chih Lee
Journal:  Pharm Res       Date:  2014-03-04       Impact factor: 4.200

8.  A Physiologically Based Pharmacokinetic Model for Ganciclovir and Its Prodrug Valganciclovir in Adults and Children.

Authors:  V Lukacova; P Goelzer; M Reddy; G Greig; B Reigner; N Parrott
Journal:  AAPS J       Date:  2016-07-22       Impact factor: 4.009

Review 9.  Strategic biomarkers for drug development in treating rare diseases and diseases in neonates and infants.

Authors:  Jane P F Bai; Jeffrey S Barrett; Gibert J Burckart; Bernd Meibohm; Hari Cheryl Sachs; Lynne Yao
Journal:  AAPS J       Date:  2013-01-19       Impact factor: 4.009

10.  A workflow example of PBPK modeling to support pediatric research and development: case study with lorazepam.

Authors:  A R Maharaj; J S Barrett; A N Edginton
Journal:  AAPS J       Date:  2013-01-24       Impact factor: 4.009

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