Advancing the Harmonization of Biopredictive Methodologies through the Product Quality Research Institute (PQRI) Consortium: Biopredictive Dissolution of Dipyridamole Tablets

Publication: Mol Pharm
Software: GastroPlus®
Division: PBPK

Abstract

Biorelevant dissolution and its concept have been widely accepted and further developed to meaningfully predict the bioperformance of oral drug products. Biorelevant methodologies have been applied to design and optimize oral formulations, to facilitate formulation bridging, and to predict the outcome of bioperformance by coupling the results with modeling. Yet, those methodologies have often been independently customized to align with specific aspects of the oral drug products being developed. Therefore, the evolution of biorelevant dissolution methodologies has taken slightly diverse pathways rather than being standardized like compendial quality control (QC) methodologies. This manuscript presents an effort through the Product Quality Research Institute (PQRI, https://pqri.org) consortium entitled: the standardization of “in vivo predictive dissolution methodologies and in silico bioequivalent study working group” to find the key parameters for biorelevant dissolution, to identify the best practices, and to move toward standardization of biorelevant dissolution methodologies. This working group is composed of members from 10 pharmaceutical companies and academic institutes. The consortium project will be accomplished in five phases, whereby the first two phases have already been completed and published. In this paper, the next two phases are addressed by reporting the biorelevant dissolution profiles of dipyridamole, a weak base model drug, then incorporating the dissolution results into physiologically based biopharmaceutics modeling (PBBM) to determine whether they would lead to bioequivalence (BE) or non-BE.

By Yasuhiro Tsume, Lee Ashworth, Marival Bermejo Sanz, Vincent Cicale, Jennifer Dressman, Masahiro Fushimi, Isabel Gonzalez-Alvarez, Pin-Syuan Haung, Corinne Jankovsky, Xiaohong Liu, Xujin Lu, Kazuki Matsui, Sanjaykumar Patel, Alejandro Ruiz-Picazo, Changquan Calvin Sun, Naveen Thakral, Laurin Zöller