4.5 Article

In Vitro Biopredictive Methods: A Workshop Summary Report

期刊

JOURNAL OF PHARMACEUTICAL SCIENCES
卷 110, 期 2, 页码 567-583

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.xphs.2020.09.021

关键词

PBBM; PBPK; Biopredictive dissolution; Permeability; Solubility; Precipitation; Modeling; IVIVC; IVIVR; Bioequivalence; CQAs

资金

  1. Center of Excellence in Regulatory Science and Innovation (CERSI) from the US Food & Drug Administration [U01FD005946]

向作者/读者索取更多资源

This paper summarizes the discussions on Day 1 of the workshop, which mainly focused on the best practices and challenges in measuring in vitro inputs needed for modeling, such as drug solubility, dissolution rate, potential precipitation, and drug permeability.
This workshop report summarizes the proceedings of Day 1 of a three-day workshop on Current State and Future Expectations of Translational Modeling Strategies to Support Drug Product Development, Manufacturing Changes and Controls. Physiologically based biopharmaceutics models (PBBM) are tools which enable the drug product quality attributes to be linked to the in vivo performance. These tools rely on key quality inputs in order to provide reliable predictions. After introducing the objectives of the workshop and the expectations from the breakout sessions, Day 1 of the workshop focused on the best practices and challenges in measuring in vitro inputs needed for modeling, such as the drug solubility, the dissolution rate of the drug product, potential precipitation of the drug and drug permeability. This paper reports the podium presentations and summarizes breakout session discussions related to A) the best strategies for determining solubility, supersaturation and critical supersaturation; B) the best strategies for the development of biopredictive (clinically relevant) dissolution methods; C) the challenges associated with describing gastro-intestinal systems parameters such as mucus, liquid volume and motility; and D) the challenges with translating biopharmaceutical measures of drug permeability along the gastrointestinal tract to a meaningful model parameter. (c) 2020 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.

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