Literature DB >> 26886317

Physiologically Based Absorption Modeling to Impact Biopharmaceutics and Formulation Strategies in Drug Development-Industry Case Studies.

Filippos Kesisoglou1, John Chung2, Judith van Asperen3, Tycho Heimbach4.   

Abstract

In recent years, there has been a significant increase in use of physiologically based pharmacokinetic models in drug development and regulatory applications. Although most of the published examples have focused on aspects such as first-in-human (FIH) dose predictions or drug-drug interactions, several publications have highlighted the application of these models in the biopharmaceutics field and their use to inform formulation development. In this report, we present 5 case studies of use of such models in this biopharmaceutics/formulation space across different pharmaceutical companies. The case studies cover different aspects of biopharmaceutics or formulation questions including (1) prediction of absorption prior to FIH studies; (2) optimization of formulation and dissolution method post-FIH data; (3) early exploration of a modified-release formulation; (4) addressing bridging questions for late-stage formulation changes; and (5) prediction of pharmacokinetics in the fed state for a Biopharmaceutics Classification System class I drug with fasted state data. The discussion of the case studies focuses on how such models can facilitate decisions and biopharmaceutic understanding of drug candidates and the opportunities for increased use and acceptance of such models in drug development and regulatory interactions.
Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  absorption; food effects; oral absorption; particle size; pharmacokinetics; physiologically based pharmacokinetic modeling

Mesh:

Year:  2016        PMID: 26886317     DOI: 10.1016/j.xphs.2015.11.034

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  11 in total

1.  Integrated Multi-stakeholder Systems Thinking Strategy: Decision-making with Biopharmaceutics Risk Assessment Roadmap (BioRAM) to Optimize Clinical Performance of Drug Products.

Authors:  Arzu Selen; Anette Müllertz; Filippos Kesisoglou; Rodney J Y Ho; Jack A Cook; Paul A Dickinson; Talia Flanagan
Journal:  AAPS J       Date:  2020-07-27       Impact factor: 4.009

Review 2.  Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine.

Authors:  Clara Hartmanshenn; Megerle Scherholz; Ioannis P Androulakis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

3.  Approaches for Establishing Clinically Relevant Dissolution Specifications for Immediate Release Solid Oral Dosage Forms.

Authors:  Andre Hermans; Andreas M Abend; Filippos Kesisoglou; Talia Flanagan; Michael J Cohen; Dorys A Diaz; Y Mao; Limin Zhang; Gregory K Webster; Yiqing Lin; David A Hahn; Carrie A Coutant; Haiyan Grady
Journal:  AAPS J       Date:  2017-08-22       Impact factor: 4.009

4.  Physiologically Based Biopharmaceutics Model for Selumetinib Food Effect Investigation and Capsule Dissolution Safe Space - Part I: Adults.

Authors:  Xavier J H Pepin; Maria Hammarberg; Alexandra Mattinson; Andrea Moir
Journal:  Pharm Res       Date:  2022-08-24       Impact factor: 4.580

Review 5.  Current State and Challenges of Physiologically Based Biopharmaceutics Modeling (PBBM) in Oral Drug Product Development.

Authors:  Di Wu; Min Li
Journal:  Pharm Res       Date:  2022-09-08       Impact factor: 4.580

Review 6.  The Use of Physiologically Based Pharmacokinetic Analyses-in Biopharmaceutics Applications -Regulatory and Industry Perspectives.

Authors:  Om Anand; Xavier J H Pepin; Vidula Kolhatkar; Paul Seo
Journal:  Pharm Res       Date:  2022-05-18       Impact factor: 4.580

Review 7.  Predictive Performance of Physiologically Based Pharmacokinetic Models for the Effect of Food on Oral Drug Absorption: Current Status.

Authors:  Mengyao Li; Ping Zhao; Yuzhuo Pan; Christian Wagner
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-11-23

8.  In Silico Prediction of Plasma Concentrations of Fluconazole Capsules with Different Dissolution Profiles and Bioequivalence Study Using Population Simulation.

Authors:  Marcelo Dutra Duque; Daniela Amaral Silva; Michele Georges Issa; Valentina Porta; Raimar Löbenberg; Humberto Gomes Ferraz
Journal:  Pharmaceutics       Date:  2019-05-05       Impact factor: 6.321

9.  The growing role of precision and personalized medicine for cancer treatment.

Authors:  Paulina Krzyszczyk; Alison Acevedo; Erika J Davidoff; Lauren M Timmins; Ileana Marrero-Berrios; Misaal Patel; Corina White; Christopher Lowe; Joseph J Sherba; Clara Hartmanshenn; Kate M O'Neill; Max L Balter; Zachary R Fritz; Ioannis P Androulakis; Rene S Schloss; Martin L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2019-01-11

10.  Performance Evaluation of Montelukast Pediatric Formulations: Part II - a PBPK Modelling Approach.

Authors:  Mariana Guimarães; Maria Vertzoni; Nikoletta Fotaki
Journal:  AAPS J       Date:  2022-01-10       Impact factor: 4.009

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.