基于生理学的药代动力学模型
生物制药
计算机科学
药物开发
术语
风险分析(工程)
生物制药分类系统
生化工程
产品(数学)
药理学
医学
管理科学
药品
药代动力学
工程类
化学
数学
体外
语言学
生药学
生物化学
几何学
哲学
生物活性
作者
Xavier Pépin,Neil Parrott,Jennifer Dressman,Poonam Delvadia,Amitava Mitra,Xinyuan Zhang,Andrew Babiskin,Vidula Kolhatkar,Sandra Suarez‐Sharp
标识
DOI:10.1016/j.xphs.2020.04.021
摘要
Abstract The implementation of clinically relevant drug product specifications (CRDPS) depends on establishing a link between in vitro performance and in vivo exposure. The scientific community, including regulatory agencies, relies on biopharmaceutics tools on the in vitro performance side, while to enable the link to in vivo exposure, physiologically based pharmacokinetic (PBPK) modeling offers much promise. However, when it comes to PBPK applications in support of CRDPS, otherwise called physiologically based biopharmaceutics models (PBBM), the tools are not yet at the desired level. Currently, it is not possible to integrate detailed variations in chemistry, manufacturing and controls (CMC) attributes and parameters into these models in a way that can consistently predict their effect on local and systemic drug exposure. Specifically, to achieve the desired level, there is a need to advance the science and policy of PBBM. This manuscript summarizes the proceedings of a three-day workshop where the following themes were discussed: 1) Challenges in the development and implementation of in vitro biopredictive tools needed for successful mechanistic modeling; 2) Best practices in model development, verification and validation; and 3) Appropriate terminology (e.g., PBBM vs. PBPK models for biopharmaceutics applications) and applications of PBBM in support of drug product quality.
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