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本文引用的文献

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Prediction of human pharmacokinetics--gastrointestinal absorption.人体药代动力学预测——胃肠道吸收
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The value meal: how to save $1,700 per month or more on lapatinib.超值套餐:如何每月节省1700美元或更多用于购买拉帕替尼。
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Effect of a high-fat meal on absorption and disposition of lipophilic compounds: the importance of degree of association with triglyceride-rich lipoproteins.高脂餐对亲脂性化合物吸收和处置的影响:与富含甘油三酯的脂蛋白结合程度的重要性。
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Expression of thirty-six drug transporter genes in human intestine, liver, kidney, and organotypic cell lines.36种药物转运蛋白基因在人肠道、肝脏、肾脏及器官型细胞系中的表达
Drug Metab Dispos. 2007 Aug;35(8):1333-40. doi: 10.1124/dmd.107.014902. Epub 2007 May 11.
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Peptide transporter substrate identification during permeability screening in drug discovery: comparison of transfected MDCK-hPepT1 cells to Caco-2 cells.药物发现中渗透性筛选期间肽转运体底物的鉴定:转染的MDCK-hPepT1细胞与Caco-2细胞的比较
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Parallel monitoring of plasma and intraluminal drug concentrations in man after oral administration of fosamprenavir in the fasted and fed state.在空腹和进食状态下口服福沙普那韦后,对人体血浆和管腔内药物浓度进行平行监测。
Pharm Res. 2007 Oct;24(10):1862-9. doi: 10.1007/s11095-007-9307-3. Epub 2007 Apr 19.
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Predicting effect of food on extent of drug absorption based on physicochemical properties.基于物理化学性质预测食物对药物吸收程度的影响。
Pharm Res. 2007 Jun;24(6):1118-30. doi: 10.1007/s11095-007-9236-1. Epub 2007 Mar 24.
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Lipids and lipid-based formulations: optimizing the oral delivery of lipophilic drugs.脂质及基于脂质的制剂:优化亲脂性药物的口服给药
Nat Rev Drug Discov. 2007 Mar;6(3):231-48. doi: 10.1038/nrd2197.
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The effect of a high-fat meal on the pharmacodynamics of a model lipophilic compound that binds extensively to triglyceride-rich lipoproteins.高脂餐对一种与富含甘油三酯的脂蛋白广泛结合的模型亲脂性化合物药效学的影响。
Int J Pharm. 2007 Mar 21;333(1-2):1-4. doi: 10.1016/j.ijpharm.2007.01.012. Epub 2007 Jan 19.
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effect of OATP1B transporter inhibition on the pharmacokinetics of atorvastatin in healthy volunteers.OATP1B转运体抑制对健康志愿者中阿托伐他汀药代动力学的影响。
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预测药物处置、吸收/消除/转运体相互作用以及食物对药物吸收的影响。

Predicting drug disposition, absorption/elimination/transporter interplay and the role of food on drug absorption.

作者信息

Custodio Joseph M, Wu Chi-Yuan, Benet Leslie Z

机构信息

Department of Biopharmaceutical Sciences, University of California, San Francisco, San Francisco, California 94143-0446, USA.

出版信息

Adv Drug Deliv Rev. 2008 Mar 17;60(6):717-33. doi: 10.1016/j.addr.2007.08.043. Epub 2007 Nov 28.

DOI:10.1016/j.addr.2007.08.043
PMID:18199522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2292816/
Abstract

The ability to predict drug disposition involves concurrent consideration of many chemical and physiological variables and the effect of food on the rate and extent of availability adds further complexity due to postprandial changes in the gastrointestinal (GI) tract. A system that allows for the assessment of the multivariate interplay occurring following administration of an oral dose, in the presence or absence of meal, would greatly benefit the early stages of drug development. This is particularly true in an era when the majority of new molecular entities are highly permeable, poorly soluble, extensively metabolized compounds (BDDCS Class 2), which present the most complicated relationship in defining the impact of transporters due to the marked effects of transporter-enzyme interplay. This review evaluates the GI luminal environment by taking into account the absorption/transport/elimination interplay and evaluates the physiochemical property issues by taking into account the importance of solubility, permeability and metabolism. We concentrate on the BDDCS and its utility in predicting drug disposition. Furthermore, we focus on the effect of food on the extent of drug availability (F), which appears to follow closely what might be expected if a significant effect of high fat meals is inhibition of transporters. That is, high fat meals and lipidic excipients would be expected to have little effect on F for Class 1 drugs; they would increase F of Class 2 drugs, while decreasing F for Class 3 drugs.

摘要

预测药物处置的能力涉及同时考虑许多化学和生理变量,而食物对药物可利用速率和程度的影响,由于胃肠道(GI)餐后变化,进一步增加了复杂性。一个能够评估口服给药后,无论有无进餐情况下发生的多变量相互作用的系统,将极大地有利于药物开发的早期阶段。在当今时代尤其如此,此时大多数新分子实体都是高渗透性、低溶解性、广泛代谢的化合物(生物药剂学分类系统[BDDCS]2类),由于转运体-酶相互作用的显著影响,在定义转运体的影响方面呈现出最复杂的关系。本综述通过考虑吸收/转运/消除相互作用来评估胃肠道管腔环境,并通过考虑溶解度、渗透性和代谢的重要性来评估物理化学性质问题。我们专注于BDDCS及其在预测药物处置方面的效用。此外,我们关注食物对药物可利用程度(F)的影响,这似乎与高脂肪餐的显著影响是抑制转运体时的预期情况密切相关。也就是说,高脂肪餐和脂质辅料预计对1类药物的F影响很小;它们会增加2类药物的F,同时降低3类药物的F。