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结合体外和计算机模拟方法以更好地预测表面活性剂对难溶性药物吸收的影响——非诺贝特案例分析

Combining in vitro and in silico methods for better prediction of surfactant effects on the absorption of poorly water soluble drugs-a fenofibrate case example.

作者信息

Berthelsen Ragna, Sjögren Erik, Jacobsen Jette, Kristensen Jakob, Holm René, Abrahamsson Bertil, Müllertz Anette

机构信息

Department of Pharmacy, University of Copenhagen, Denmark.

Department of Pharmacy, Uppsala University, Sweden.

出版信息

Int J Pharm. 2014 Oct 1;473(1-2):356-65. doi: 10.1016/j.ijpharm.2014.06.060. Epub 2014 Jul 2.

DOI:10.1016/j.ijpharm.2014.06.060
PMID:24997410
Abstract

The aim of this study was to develop a sensitive and discriminative in vitro-in silico model able to simulate the in vivo performance of three fenofibrate immediate release formulations containing different surfactants. In addition, the study was designed to investigate the effect of dissolution volume when predicting the oral bioavailability of the formulations. In vitro dissolution studies were carried out using the USP apparatus 2 or a mini paddle assembly, containing 1000 mL or 100mL fasted state biorelevant medium, respectively. In silico simulations of small intestinal absorption were performed using the GI-Sim absorption model. All simulation runs were performed twice adopting either a total small intestinal volume of 533 mL or 105 mL, in order to examine the implication of free luminal water volumes for the in silico predictions. For the tested formulations, the use of a small biorelevant dissolution volume was critical for in vitro-in silico prediction of drug absorption. Good predictions, demonstrating rank order in vivo-in vitro-in silico correlations for Cmax, were obtained with in silico predictions utilizing a 105 mL estimate for the human intestinal water content combined with solubility and dissolution data performed in a mini paddle apparatus with 100mL fasted state simulated media.

摘要

本研究的目的是开发一种灵敏且具有区分性的体外-计算机模拟模型,该模型能够模拟三种含有不同表面活性剂的非诺贝特速释制剂的体内性能。此外,该研究旨在探讨在预测制剂口服生物利用度时溶出体积的影响。体外溶出研究分别使用美国药典装置2或小型桨板装置进行,其中分别含有1000 mL或100 mL空腹状态生物相关介质。使用胃肠道模拟吸收模型对小肠吸收进行计算机模拟。所有模拟运行均采用533 mL或105 mL的小肠总体积进行两次,以检查游离管腔水体积对计算机模拟预测的影响。对于所测试的制剂,使用小体积生物相关溶出介质对于药物吸收的体外-计算机模拟预测至关重要。利用105 mL估计的人体肠道水含量结合在含有100 mL空腹状态模拟介质的小型桨板装置中进行的溶解度和溶出数据进行计算机模拟预测,获得了良好的预测结果,证明了体内-体外-计算机模拟在Cmax方面的排序相关性。

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