Literature DB >> 24060672

PBPK models for the prediction of in vivo performance of oral dosage forms.

Edmund S Kostewicz1, Leon Aarons2, Martin Bergstrand3, Michael B Bolger4, Aleksandra Galetin2, Oliver Hatley2, Masoud Jamei5, Richard Lloyd6, Xavier Pepin7, Amin Rostami-Hodjegan8, Erik Sjögren9, Christer Tannergren10, David B Turner5, Christian Wagner11, Werner Weitschies12, Jennifer Dressman11.   

Abstract

Drug absorption from the gastrointestinal (GI) tract is a highly complex process dependent upon numerous factors including the physicochemical properties of the drug, characteristics of the formulation and interplay with the underlying physiological properties of the GI tract. The ability to accurately predict oral drug absorption during drug product development is becoming more relevant given the current challenges facing the pharmaceutical industry. Physiologically-based pharmacokinetic (PBPK) modeling provides an approach that enables the plasma concentration-time profiles to be predicted from preclinical in vitro and in vivo data and can thus provide a valuable resource to support decisions at various stages of the drug development process. Whilst there have been quite a few successes with PBPK models identifying key issues in the development of new drugs in vivo, there are still many aspects that need to be addressed in order to maximize the utility of the PBPK models to predict drug absorption, including improving our understanding of conditions in the lower small intestine and colon, taking the influence of disease on GI physiology into account and further exploring the reasons behind population variability. Importantly, there is also a need to create more appropriate in vitro models for testing dosage form performance and to streamline data input from these into the PBPK models. As part of the Oral Biopharmaceutical Tools (OrBiTo) project, this review provides a summary of the current status of PBPK models available. The current challenges in PBPK set-ups for oral drug absorption including the composition of GI luminal contents, transit and hydrodynamics, permeability and intestinal wall metabolism are discussed in detail. Further, the challenges regarding the appropriate integration of results from in vitro models, such as consideration of appropriate integration/estimation of solubility and the complexity of the in vitro release and precipitation data, are also highlighted as important steps to advancing the application of PBPK models in drug development. It is expected that the "innovative" integration of in vitro data from more appropriate in vitro models and the enhancement of the GI physiology component of PBPK models, arising from the OrBiTo project, will lead to a significant enhancement in the ability of PBPK models to successfully predict oral drug absorption and advance their role in preclinical and clinical development, as well as for regulatory applications.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gastrointestinal physiology; In vitro biopharmaceutical tools; Innovative Medicines Initiative (IMI); Oral Biopharmaceutical Tools (OrBiTo); Physiologically-based pharmacokinetic (PBPK) models; Predicting drug absorption

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Substances:

Year:  2013        PMID: 24060672     DOI: 10.1016/j.ejps.2013.09.008

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  63 in total

1.  Comparison of Deconvolution-Based and Absorption Modeling IVIVC for Extended Release Formulations of a BCS III Drug Development Candidate.

Authors:  Filippos Kesisoglou; Binfeng Xia; Nancy G B Agrawal
Journal:  AAPS J       Date:  2015-08-20       Impact factor: 4.009

2.  Meta-analysis of Magnetic Marker Monitoring Data to Characterize the Movement of Single Unit Dosage Forms Though the Gastrointestinal Tract Under Fed and Fasting Conditions.

Authors:  Emilie Hénin; Martin Bergstrand; Werner Weitschies; Mats O Karlsson
Journal:  Pharm Res       Date:  2015-11-09       Impact factor: 4.200

3.  Food Effect in Humans: Predicting the Risk Through In Vitro Dissolution and In Vivo Pharmacokinetic Models.

Authors:  Neil Mathias; Yan Xu; Balvinder Vig; Umesh Kestur; Amy Saari; John Crison; Divyakant Desai; Aditya Vanarase; Munir Hussain
Journal:  AAPS J       Date:  2015-05-02       Impact factor: 4.009

4.  Application of Absorption Modeling in Rational Design of Drug Product Under Quality-by-Design Paradigm.

Authors:  Filippos Kesisoglou; Amitava Mitra
Journal:  AAPS J       Date:  2015-05-22       Impact factor: 4.009

5.  Assessment of In Vivo Clinical Product Performance of a Weak Basic Drug by Integration of In Vitro Dissolution Tests and Physiologically Based Absorption Modeling.

Authors:  Xuan Ding; Ivelina Gueorguieva; James A Wesley; Lee J Burns; Carrie A Coutant
Journal:  AAPS J       Date:  2015-07-01       Impact factor: 4.009

6.  Characterising Drug Release from Immediate-Release Formulations of a Poorly Soluble Compound, Basmisanil, Through Absorption Modelling and Dissolution Testing.

Authors:  Cordula Stillhart; Neil J Parrott; Marc Lindenberg; Pascal Chalus; Darren Bentley; Anikó Szepes
Journal:  AAPS J       Date:  2017-02-24       Impact factor: 4.009

7.  Application of absorption modeling to predict bioequivalence outcome of two batches of etoricoxib tablets.

Authors:  Amitava Mitra; Filippos Kesisoglou; Peter Dogterom
Journal:  AAPS PharmSciTech       Date:  2014-09-03       Impact factor: 3.246

8.  Biorelevant in vitro performance testing of orally administered dosage forms-workshop report.

Authors:  Christos Reppas; Horst-Dieter Friedel; Amy R Barker; Lucinda F Buhse; Todd L Cecil; Susanne Keitel; Johannes Kraemer; J Michael Morris; Vinod P Shah; Mary P Stickelmeyer; Chikako Yomota; Cynthia K Brown
Journal:  Pharm Res       Date:  2014-03-19       Impact factor: 4.200

9.  Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug.

Authors:  Xuan Ding; Jeffrey S Day; David C Sperry
Journal:  AAPS J       Date:  2016-07-12       Impact factor: 4.009

10.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08
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