Certara UK Limited, Simcyp Division, Level 2-Acero, Sheffield, S1 2BJ, UK.
Pharmaceutical Development, Boehringer-Ingelheim Pharma GmbH & Co. KG, Germany.
J Pharm Sci. 2019 Apr;108(4):1604-1618. doi: 10.1016/j.xphs.2018.11.034. Epub 2018 Nov 23.
The physiological relevance of single-phase (aqueous only) and 2-phase (aqueous and organic phase) in vitro dissolution experiments was compared by mechanistic modeling. For orally dosed dipyridamole, stepwise, sequential estimation/confirmation of biopharmaceutical parameters from in vitro solubility-dissolution data was followed, before applying them within a physiologically based pharmacokinetic (PBPK) model. The PBPK model predicted clinical dipyridamole luminal and plasma concentration profiles reasonably well for a range of doses only where the precipitation rate constant was derived from the 2-phase experiment. The population model predicted a distribution of maximal precipitated fractions from 0% to 45% of the 90 mg dose (mean 7.6%). Such population information cannot be obtained directly from a few in vitro experiments; however well they may represent an "average" and several extreme subjects (those with low-high luminal fluid volumes, pH, etc.) because there is no indication of outcome likelihood. For this purpose, direct input of in vitro dissolution/precipitation profiles to a PBPK model is insufficient-mechanistic modeling is required. Biopharmaceutical in vitro-in vivo extrapolation tools can also simulate the effect of key experimental parameters (dissolution volumes, pH, paddle speed, etc.) on dissolution/precipitation behavior, thereby helping to identify critical variables, which may impact the number or design of in vitro experiments.
通过机理建模比较了单相(仅水性)和两相(水性和有机相)的体外溶解实验在生理学上的相关性。对于口服给予的双嘧达莫,在应用于基于生理学的药代动力学(PBPK)模型之前,首先逐步、顺序地从体外溶解度-溶解数据中估算/确认生物制药参数。该 PBPK 模型可以合理地预测临床双嘧达莫腔内和血浆浓度曲线,适用于多种剂量,前提是沉淀速率常数是从两相实验中得出的。群体模型预测了 90mg 剂量的最大沉淀分数分布范围为 0%至 45%(平均 7.6%)。这种群体信息不能直接从少数几个体外实验中获得;无论它们代表“平均”和几个极端个体(那些腔内流体体积、pH 值等较低/较高的个体)的情况有多好,因为没有结果可能性的指示。为此,直接将体外溶解/沉淀曲线输入 PBPK 模型是不够的,需要进行机理建模。生物制药的体外-体内外推工具还可以模拟关键实验参数(溶解体积、pH 值、搅拌速度等)对溶解/沉淀行为的影响,从而有助于识别可能影响体外实验数量或设计的关键变量。