Literature DB >> 27770430

Physiologically based pharmacokinetic modeling in regulatory decision-making at the European Medicines Agency.

E Luzon1, K Blake1, S Cole2,3,4, A Nordmark4,5, C Versantvoort3,6, E Gil Berglund3,5.   

Abstract

Physiologically based pharmacokinetic (PBPK) modeling is a valuable tool in drug development and regulatory assessment, as it offers the opportunity to simulate the pharmacokinetics of a compound, with a mechanistic understanding, in a variety of populations and situations. This work reviews the use and impact of such modeling in selected regulatory procedures submitted to the European Medicines Agency (EMA) before the end of 2015, together with its subsequent reflection in public documents relating to the assessment of these procedures. It is apparent that the reference to PBPK modeling in regulatory public documents underrepresents its use. A positive trend over time of the number of PBPK models submitted is shown, and in a number of cases the results of these may impact the decision-making process or lead to recommendations in the product labeling. These results confirm the need for regulatory guidance in this field, which is currently under development by the EMA.
© 2016 American Society for Clinical Pharmacology and Therapeutics.

Mesh:

Year:  2016        PMID: 27770430     DOI: 10.1002/cpt.539

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


  39 in total

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Authors:  Weize Huang; Nina Isoherranen
Journal:  J Pharmacol Exp Ther       Date:  2019-10-11       Impact factor: 4.030

5.  Preterm Physiologically Based Pharmacokinetic Model. Part II: Applications of the Model to Predict Drug Pharmacokinetics in the Preterm Population.

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Journal:  Clin Pharmacokinet       Date:  2020-04       Impact factor: 6.447

6.  A Preterm Physiologically Based Pharmacokinetic Model. Part I: Physiological Parameters and Model Building.

Authors:  Khaled Abduljalil; Xian Pan; Amita Pansari; Masoud Jamei; Trevor N Johnson
Journal:  Clin Pharmacokinet       Date:  2020-04       Impact factor: 6.447

7.  Applications of Clinically Relevant Dissolution Testing: Workshop Summary Report.

Authors:  Sandra Suarez-Sharp; Michael Cohen; Filippos Kesisoglou; Andreas Abend; Patrick Marroum; Poonam Delvadia; Evangelos Kotzagiorgis; Min Li; Anna Nordmark; Nagesh Bandi; Erik Sjögren; Andrew Babiskin; Tycho Heimbach; Shinichi Kijima; Haritha Mandula; Kimberly Raines; Paul Seo; Xinyuan Zhang
Journal:  AAPS J       Date:  2018-08-27       Impact factor: 4.009

8.  Prediction of olanzapine exposure in individual patients using physiologically based pharmacokinetic modelling and simulation.

Authors:  Thomas M Polasek; Geoffrey T Tucker; Michael J Sorich; Michael D Wiese; Titus Mohan; Amin Rostami-Hodjegan; Porntipa Korprasertthaworn; Vidya Perera; Andrew Rowland
Journal:  Br J Clin Pharmacol       Date:  2018-01-11       Impact factor: 4.335

9.  Maximizing the impact of microphysiological systems with in vitro-in vivo translation.

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Journal:  Lab Chip       Date:  2018-06-26       Impact factor: 6.799

10.  Physiologically Based Pharmacokinetic Modeling of Oxycodone in Children to Support Pediatric Dosing Optimization.

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