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详细生理模型的演变,以模拟人类胃肠道转运和吸收过程,第 1 部分:口服溶液。

Evolution of a detailed physiological model to simulate the gastrointestinal transit and absorption process in humans, part 1: oral solutions.

机构信息

Institute of Pharmaceutical Technology, Johann Wolfgang Goethe University, 60438 Frankfurt am Main, Germany.

出版信息

J Pharm Sci. 2011 Dec;100(12):5324-45. doi: 10.1002/jps.22726. Epub 2011 Oct 12.

Abstract

To enable more precise prediction of oral drug absorption, an existing physiologically based absorption model was revised. The revised model reflects detailed knowledge of human gastrointestinal (GI) physiology including fluid secretion and absorption, and comprises an elaborate representation of the intestinal mucosa. The alimentary canal from the stomach to the rectum was divided into 12 compartments. A mucosal compartment was added to each luminal segment of the intestine. A training set of 111 passively absorbed drugs with reported fractions of dose absorbed was used to optimize the semiempirical equation, which calculates intestinal permeability coefficients. The model was subsequently integrated into an established physiologically based pharmacokinetic software and validated by prediction of plasma concentration-time profiles of eight test compounds with diverse physicochemical properties. A good correlation between the simulated and experimental fractions of dose absorbed was established for the 111 compounds in the training set. Subsequently, the concentration-time profiles of six out of eight test compounds were predicted with high accuracy. The detailed model for GI transit and absorption presented in this study can help to understand the complex processes of oral absorption better and will be useful during the drug development process.

摘要

为了更精确地预测口服药物的吸收,对现有的基于生理学的吸收模型进行了修订。修订后的模型反映了对人体胃肠道(GI)生理学的详细了解,包括液体分泌和吸收,并对肠黏膜进行了精细的描述。从胃到直肠的消化道被分为 12 个隔室。在每个肠腔段的黏膜中添加了一个隔室。使用 111 种具有报道吸收剂量分数的被动吸收药物的训练集来优化半经验方程,该方程计算肠通透性系数。该模型随后被整合到一个已建立的基于生理学的药代动力学软件中,并通过预测 8 种具有不同物理化学性质的测试化合物的血浆浓度-时间曲线进行验证。在训练集中,111 种化合物的模拟和实验吸收剂量分数之间建立了很好的相关性。随后,用该模型对 8 种测试化合物中的 6 种化合物的浓度-时间曲线进行了高精度预测。本研究中提出的详细的胃肠道转运和吸收模型有助于更好地理解口服吸收的复杂过程,并将在药物开发过程中发挥重要作用。

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