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迈向口服药物吸收的定量预测。

Towards quantitative prediction of oral drug absorption.

作者信息

Dressman Jennifer B, Thelen Kirstin, Jantratid Ekarat

机构信息

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

出版信息

Clin Pharmacokinet. 2008;47(10):655-67. doi: 10.2165/00003088-200847100-00003.

DOI:10.2165/00003088-200847100-00003
PMID:18783296
Abstract

Although several routes of administration can be considered for new drug entities, the oral route remains the most popular. To predict the in vivo performance of a drug after oral administration from in vitro data, it is essential that the factors limiting absorption can be modelled. Factors limiting oral drug absorption are typically slow and/or incomplete dissolution, formation of insoluble complexes and/or decomposition in the gastrointestinal lumen, poor net permeability and first-pass metabolism. Although many attempts have been made to make global forecasts of oral bioavailability based on a single parameter (ranging from the partition coefficient [logP] to the polar surface area), it is clear from the diversity of properties that can influence delivery of drugs via the oral route that such an approach can at best lead to a qualitative estimation. To predict in vivo performance in a more quantitative way, it is instead necessary to identify the extent to which each of the aforementioned factors can limit absorption, and then combine the information into a comprehensive model of the absorptive processes. Much progress has been made in the last 10 years on developing methods to pin down the extent to which each of the factors actually limits the absorption of a given compound and, concomitantly, physiological models have been evolved, which show promise in terms of being able to integrate the information generated about each of the individual limiting factors. This article attempts to summarize recent progress on the various fronts as a kind of 'progress report' towards quantitative prediction of oral drug absorption.

摘要

尽管新药实体可考虑多种给药途径,但口服途径仍然是最受欢迎的。要从体外数据预测药物口服给药后的体内性能,对限制吸收的因素进行建模至关重要。限制口服药物吸收的因素通常包括溶解缓慢和/或不完全、形成不溶性复合物和/或在胃肠道腔中分解、净渗透率低以及首过代谢。尽管已经多次尝试基于单个参数(从分配系数[logP]到极性表面积)对口服生物利用度进行整体预测,但从可影响药物口服给药的多种性质来看,很明显这种方法充其量只能得到定性估计。为了更定量地预测体内性能,有必要确定上述每个因素能够限制吸收的程度,然后将这些信息整合到一个吸收过程的综合模型中。在过去10年里,在开发确定每个因素实际限制给定化合物吸收程度的方法方面取得了很大进展,同时,生理模型也在不断发展,有望整合关于每个单独限制因素产生的信息。本文试图总结各个方面的最新进展,作为迈向口服药物吸收定量预测的一种“进展报告”。

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Pyrazolylthiazole as DeltaF508-cystic fibrosis transmembrane conductance regulator correctors with improved hydrophilicity compared to bithiazoles.吡唑并噻唑作为 DeltaF508-囊性纤维化跨膜电导调节剂校正剂,与双噻唑相比,亲水性得到改善。
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