Literature DB >> 24517185

The successes and failures of physiologically based pharmacokinetic modeling: there is room for improvement.

Italo Poggesi1, Jan Snoeys, Achiel Van Peer.   

Abstract

From the year 2000 onwards, physiologically based pharmacokinetic (PBPK) models in the field of drug research and development have been increasingly used. This proliferation of applications was prompted by the availability of new data and computational approaches required for the parameterization of PBPK models, as well as the availability of commercial software platforms. PBPK approaches have been used to predict drug pharmacokinetics in humans based on nonclinical data, the potential for drug-drug interactions and the expected changes in the pharmacokinetics in case of different physiopathological conditions. In this respect, PBPK is also assuming a more important role in regulatory submissions. Although PBPK methodologies are not perfect yet, their continuous and consistent application is providing a more profound understanding of the determinants of the drug absorption and disposition of new and candidate drugs. We are confident that, with increased use, PBPK methodologies will gradually improve in their predictive capabilities.

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Year:  2014        PMID: 24517185     DOI: 10.1517/17425255.2014.888058

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  8 in total

1.  Utility of physiologically based pharmacokinetic (PBPK) modeling in oncology drug development and its accuracy: a systematic review.

Authors:  Teerachat Saeheng; Kesara Na-Bangchang; Juntra Karbwang
Journal:  Eur J Clin Pharmacol       Date:  2018-07-05       Impact factor: 2.953

Review 2.  Physiologically Based Pharmacokinetic Modelling for First-In-Human Predictions: An Updated Model Building Strategy Illustrated with Challenging Industry Case Studies.

Authors:  Neil A Miller; Micaela B Reddy; Aki T Heikkinen; Viera Lukacova; Neil Parrott
Journal:  Clin Pharmacokinet       Date:  2019-06       Impact factor: 6.447

Review 3.  Challenges Associated With Applying Physiologically Based Pharmacokinetic Modeling for Public Health Decision-Making.

Authors:  Yu-Mei Tan; Rachel R Worley; Jeremy A Leonard; Jeffrey W Fisher
Journal:  Toxicol Sci       Date:  2018-04-01       Impact factor: 4.849

4.  Development of a Novel Simplified PBPK Absorption Model to Explain the Higher Relative Bioavailability of the OROS® Formulation of Oxybutynin.

Authors:  Andrés Olivares-Morales; Avijit Ghosh; Leon Aarons; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-09-08       Impact factor: 4.009

5.  The impact of composite AUC estimates on the prediction of systemic exposure in toxicology experiments.

Authors:  Tarjinder Sahota; Meindert Danhof; Oscar Della Pasqua
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-04-14       Impact factor: 2.745

6.  Development of Guanfacine Extended-Release Dosing Strategies in Children and Adolescents with ADHD Using a Physiologically Based Pharmacokinetic Model to Predict Drug-Drug Interactions with Moderate CYP3A4 Inhibitors or Inducers.

Authors:  Aiqun Li; Karen Yeo; Devin Welty; Haojing Rong
Journal:  Paediatr Drugs       Date:  2018-04       Impact factor: 3.022

7.  Physiologically Based Pharmacokinetic Modelling of Inhaled Nemiralisib: Mechanistic Components for Pulmonary Absorption, Systemic Distribution, and Oral Absorption.

Authors:  Neil A Miller; Rebecca H Graves; Chris D Edwards; Augustin Amour; Ed Taylor; Olivia Robb; Brett O'Brien; Aarti Patel; Andrew W Harrell; Edith M Hessel
Journal:  Clin Pharmacokinet       Date:  2021-08-30       Impact factor: 6.447

Review 8.  Recent Advances in Development and Application of Physiologically-Based Pharmacokinetic (PBPK) Models: a Transition from Academic Curiosity to Regulatory Acceptance.

Authors:  Masoud Jamei
Journal:  Curr Pharmacol Rep       Date:  2016-04-14
  8 in total

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