Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report.
Xavier J H PepinSumit AroraLuiza BorgesMario Cano-VegaTessa CarducciParnali ChatterjeeGrace ChenRodrigo CristofolettiAndré DallmannPoonam DelvadiaJennifer DressmanNikoletta FotakiElizabeth GrayTycho HeimbachØyvind HolteShinichi KijimaEvangelos KotzagiorgisHans LennernäsAnders LindahlRaimar LoebenbergClaire MackieMaria MalamatariMark McAllisterAmitava MitraRebecca MoodyDeanna M MudieFlora Musuamba TshinanuJames E PolliBhagwant RegeXiaojun RenGregory RulloMegerle ScherholzIvy SongCordula StillhartSandra Suarez-SharpChrister TannergrenEleftheria TsakalozouShereeni VeerasinghamChristian WagnerPaul SeoPublished in: Molecular pharmaceutics (2024)
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.