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Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report

Authors :
Pepin, Xavier
Arora, Sumit
Borges, Luiza
Cano-Vega, Mario
Carducci, Tessa
Chatterjee, Parnali
Chen, Grace
Cristofoletti, Rodrigo
Dallmann, André
Delvadia, Poonam
Dressman, Jennifer
Fotaki, Nikoletta
Gray, Elizabeth
Heimbach, Tycho
Holte, Øyvind
Kijima, Shinichi
Kotzagiorgis, Evangelos
Lennernäs, Hans
Lindahl, Anders
Loebenberg, Raimar
Mackie, Claire
Malamatari, Maria
McAllister, Mark
Mitra, Amitava
Moody, Rebecca
Mudie, Deanna
Musuamba Tshinanu, Flora
Polli, James E.
Rege, Bhagwant
Ren, Xiaojun
Rullo, Gregory
Scherholz, Megerle
Song, Ivy
Stillhart, Cordula
Suarez-Sharp, Sandra
Tannergren, Christer
Tsakalozou, Eleftheria
Veerasingham, Shereeni
Wagner, Christian
Seo, Paul
Source :
Molecular Pharmaceutics; August 2024, Vol. 21 Issue: 8 p3697-3731, 35p
Publication Year :
2024

Abstract

This Article shares the proceedings from the August 29th, 2023 (day 1) workshop “Physiologically Based Biopharmaceutics Modeling (PBBM) Best Practices for Drug Product Quality: Regulatory and Industry Perspectives”. The focus of the day was on model parametrization; regulatory authorities from Canada, the USA, Sweden, Belgium, and Norway presented their views on PBBM case studies submitted by industry members of the IQ consortium. The presentations shared key questions raised by regulators during the mock exercise, regarding the PBBM input parameters and their justification. These presentations also shed light on the regulatory assessment processes, content, and format requirements for future PBBM regulatory submissions. In addition, the day 1 breakout presentations and discussions gave the opportunity to share best practices around key questions faced by scientists when parametrizing PBBMs. Key questions included measurement and integration of drug substance solubility for crystalline vs amorphous drugs; impact of excipients on apparent drug solubility/supersaturation; modeling of acid–base reactions at the surface of the dissolving drug; choice of dissolution methods according to the formulation and drug properties with a view to predict the in vivo performance; mechanistic modeling of in vitro product dissolution data to predict in vivo dissolution for various patient populations/species; best practices for characterization of drug precipitation from simple or complex formulations and integration of the data in PBBM; incorporation of drug permeability into PBBM for various routes of uptake and prediction of permeability along the GI tract.

Details

Language :
English
ISSN :
15438384 and 15438392
Volume :
21
Issue :
8
Database :
Supplemental Index
Journal :
Molecular Pharmaceutics
Publication Type :
Periodical
Accession number :
ejs66772612
Full Text :
https://doi.org/10.1021/acs.molpharmaceut.4c00526