New Modalities and Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK.
Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland.
J Pharm Sci. 2021 Feb;110(2):555-566. doi: 10.1016/j.xphs.2020.04.021. Epub 2020 May 4.
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.
临床相关药品规格(CRDPS)的实施取决于在体外性能和体内暴露之间建立联系。科学界,包括监管机构,依靠生物药剂学工具来研究体外性能,而生理相关药代动力学(PBPK)模型则为实现与体内暴露的联系提供了很大的希望。然而,在支持 CRDPS 的 PBPK 应用中,也就是所谓的生理相关生物药剂学模型(PBBM)中,这些工具还没有达到理想的水平。目前,还不可能以一种能够始终如一地预测其对局部和全身药物暴露影响的方式,将化学、制造和控制(CMC)属性和参数的详细变化整合到这些模型中。具体来说,要达到理想的水平,就需要推进 PBBM 的科学和政策。本文总结了为期三天的研讨会的会议记录,其中讨论了以下主题:1)在开发和实施用于成功的机制建模的体外生物预测工具方面的挑战;2)模型开发、验证和验证的最佳实践;以及 3)适当的术语(例如,用于生物药剂学应用的 PBBM 与 PBPK 模型)和 PBBM 在支持药品质量方面的应用。