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
- Center of Excellence in Regulatory Science and Innovation (CERSI) from the US Food & Drug Administration [U01FD005946]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据