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晶型和无定形 BCS Ⅱ类药物在仿制药开发中口服食物效应和生物等效性的 PBPK 吸收模型。

PBPK Absorption Modeling of Food Effect and Bioequivalence in Fed State for Two Formulations with Crystalline and Amorphous Forms of BCS 2 Class Drug in Generic Drug Development.

机构信息

Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000, Ljubljana, Slovenia.

IVIVC Group, Sandoz Development Center, Ljubljana, Slovenia.

出版信息

AAPS PharmSciTech. 2019 Jan 8;20(2):59. doi: 10.1208/s12249-018-1285-8.

Abstract

Prediction of the effect of food on drug's pharmacokinetics using modeling and simulation could cause difficulties due to complex in vivo processes. A generic formulation with amorphous form of BCS 2 class drug substance was developed and compared in vitro and in vivo to the reference drug product with drug substance in crystalline form. In order to approve generic formulation, some regulatory agencies are requesting to perform bioequivalence (BE) studies also in fed state. Food can have various effects on drug dissolution and absorption, depending also on drug's properties. A physiologically based pharmacokinetic (PBPK) absorption model was built in GastroPlus™ to predict the food effect on generic and reference formulation and to predict the fed BE study outcome. During model development, we were searching for model inputs that impact and describe in vivo behavior of amorphous and crystalline forms of active pharmaceutical ingredient (API) in fast and fed conditions. The developed model was able to predict the food effect with up to 10% prediction error (PE). Performed virtual BE trials confirmed the BE of drug products in fed state. Our model was able to capture the difference between the two drug products containing different forms of API (amorphous and crystalline) and predict the food effect on both formulations.

摘要

由于体内过程复杂,使用建模和模拟预测食物对药物药代动力学的影响可能会带来困难。开发了一种具有 BCS 2 类药物无定形形式的通用配方,并将其与具有结晶形式药物的参比药物产品进行了体外和体内比较。为了批准仿制药,一些监管机构要求在进食状态下也进行生物等效性 (BE) 研究。食物对药物溶解和吸收的影响各不相同,也取决于药物的性质。在 GastroPlus™ 中建立了基于生理学的药代动力学 (PBPK) 吸收模型,以预测食物对通用和参比配方的影响,并预测进食 BE 研究结果。在模型开发过程中,我们一直在寻找影响和描述活性药物成分 (API) 的无定形和结晶形式在快速和进食条件下体内行为的模型输入。开发的模型能够以高达 10%的预测误差 (PE) 预测食物的影响。进行的虚拟 BE 试验证实了药物产品在进食状态下的 BE。我们的模型能够捕捉到含有不同 API 形式(无定形和结晶)的两种药物产品之间的差异,并预测两种配方的食物影响。

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