Merck & Co., Inc., 126 E Lincoln Avenue, Rahway, New Jersey, USA.
AstraZeneca, Macclesfield, UK.
AAPS J. 2023 Apr 21;25(3):45. doi: 10.1208/s12248-023-00793-7.
Assessing in vivo performance to inform formulation selection and development decisions is an important aspect of drug development. Biopredictive dissolution methodologies for oral dosage forms have been developed to understand in vivo performance, assist in formulation development/optimization, and forecast the outcome of bioequivalence studies by combining them with simulation tools to predict plasma profiles in humans. However, unlike compendial dissolution methodologies, the various biopredictive methodologies have not yet been harmonized or standardized. This manuscript presents the initial phases of an effort to develop best practices and move toward standardization of the biopredictive methodologies through the Product Quality Research Institute (PQRI, https://pqri.org ) entitled "The standardization of in vitro predictive dissolution methodologies and in silico bioequivalence study Working Group." This Working Group (WG) is comprised of participants from 10 pharmaceutical companies and academic institutes. The project will be accomplished in a total of five phases including assessing the performance of dissolution protocols designed by the individual WG members, and then building "best practice" protocols based on the initial dissolution profiles. After refining the "best practice" protocols to produce equivalent dissolution profiles, those will be combined with physiologically based biopharmaceutics models (PBBM) to predict plasma profiles. In this manuscript, the first two of the five phases are reported, namely generating biopredictive dissolution profiles for ibuprofen and dipyridamole and using those dissolution profiles with PBBM to match the clinical plasma profiles. Key experimental parameters are identified, and this knowledge will be applied to build the "best practice" protocol in the next phase.
评估体内性能以告知制剂选择和开发决策是药物开发的一个重要方面。已经开发了用于口服剂型的生物预测溶解方法学,以通过将其与模拟工具结合使用来理解体内性能,协助制剂开发/优化,并预测生物等效性研究的结果,从而预测人体中的血浆曲线。然而,与药典溶解方法学不同,各种生物预测方法学尚未得到协调或标准化。本文介绍了通过产品质量研究学会(PQRI,https://pqri.org)开展的努力的初始阶段,该学会开展了一项名为“生物预测溶解方法学和体内生物等效性研究标准化”的最佳实践和迈向生物预测方法学标准化的努力。该工作组(WG)由来自 10 家制药公司和学术机构的参与者组成。该项目将总共分为五个阶段完成,包括评估由 WG 成员设计的溶解方案的性能,然后根据初始溶解曲线构建“最佳实践”方案。在对“最佳实践”方案进行改进以产生等效的溶解曲线后,将这些方案与基于生理学的生物药剂学模型(PBBM)结合使用以预测血浆曲线。本文报告了五个阶段中的前两个阶段,即生成布洛芬和双嘧达莫的生物预测溶解曲线,并使用这些溶解曲线与 PBBM 匹配临床血浆曲线。确定了关键实验参数,并且该知识将在下一阶段应用于构建“最佳实践”方案。