Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, Michigan, 48109-1065, USA.
Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000, Leuven, Belgium.
AAPS J. 2018 Mar 29;20(3):57. doi: 10.1208/s12248-018-0217-6.
For the last two decades, the application of physiologically based pharmacokinetic (PBPK) models has grown exponentially in the field of oral absorption and in a regulatory context. Although these models are widely used, their predictive power should be validated and optimized in order to rely on these models and to know exactly what is going on "under the hood". In this study, an automated sensitivity analysis (ASA) was performed for 11 gastrointestinal (GI) variables that are integrated into the PBPK software program Simcyp®. The model of interest was a previously validated workspace that was able to predict the intraluminal and systemic behavior of two different suspensions of posaconazole in the Simcyp® Simulator. The sensitivity of the following GI parameters was evaluated in this model: gastric and duodenal pH, gastric and duodenal bicarbonate concentrations (reflecting buffer capacity), duodenal bile salts concentration, gastric emptying, the interdigestive migrating motor complex (IMMC), small intestinal transit time (SITT), gastric and jejunal volumes, and permeability. The most sensitive parameters were gastric/duodenal pH and gastric emptying, for both suspensions. The outcome of the sensitivity analyses highlights the important GI variables that must be integrated into an in vivo predictive dissolution test to help and create a rational and scientific framework/design for product development of novel and generic drug products.
在过去的二十年中,生理药代动力学(PBPK)模型在口服吸收领域和监管环境中的应用呈指数级增长。尽管这些模型被广泛应用,但为了依赖这些模型并确切了解“幕后”情况,它们的预测能力需要得到验证和优化。在这项研究中,对 11 个纳入 PBPK 软件程序 Simcyp®的胃肠道(GI)变量进行了自动敏感性分析(ASA)。感兴趣的模型是一个经过先前验证的工作空间,该模型能够预测 Simcyp®模拟器中两种不同泊沙康唑混悬剂的管腔内和全身行为。在该模型中评估了以下 GI 参数的敏感性:胃和十二指肠 pH 值、胃和十二指肠碳酸氢盐浓度(反映缓冲能力)、十二指肠胆盐浓度、胃排空、消化间期移行性复合运动(IMMC)、小肠转运时间(SITT)、胃和空肠体积以及渗透性。对于两种混悬剂,最敏感的参数是胃/十二指肠 pH 值和胃排空。敏感性分析的结果突出了必须纳入体内预测性溶解试验的重要 GI 变量,以帮助为新型和仿制药产品的开发创建合理和科学的框架/设计。