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一种基于生物物理的皮肤药代动力学房室模型,用于量化局部应用药物的经皮渗透和吸收。I. 理论。

A biophysically based dermatopharmacokinetic compartment model for quantifying percutaneous penetration and absorption of topically applied agents. I. Theory.

作者信息

Williams P L, Riviere J E

机构信息

Cutaneous Pharmacology and Toxicology Center, North Carolina State University, Raleigh 27606, USA.

出版信息

J Pharm Sci. 1995 May;84(5):599-608. doi: 10.1002/jps.2600840515.

Abstract

We present a general comprehensive mathematical model to stimulate and predict percutaneous absorption and subsequent disposition of chemicals in vivo that is chiefly based on biophysical parameters estimated or measured with in vitro and ex vivo perfused skin preparations. Current physicochemical principles of drug diffusion and partitioning across the skin barrier, solute and solvent concentration dynamics, the influence of solute and solvent on the stratum corneum barrier, and dynamic vascular perfusion effects are integrated in this model. Such a comprehensive approach is necessary to achieve optimal biological relevance in a quantitative model of percutaneous absorption, particularly when a chemical is applied as a binary (solute and solvent) or more complex formulation or chemical mixture. The proposed model should have applications in (a) designing drugs and permeation enhancers for passive or active (e.g., electrically assisted) transdermal drug delivery, (b) assessing the systemic exposure of topical drugs used in dermatology, and (c) integration into other mathematical models being developed to assess the risk after topical exposure to mixtures of environmental pollutants. We also have included experimental data to provide a preliminary illustration of the performance of the model.

摘要

我们提出了一个通用的综合数学模型,用于模拟和预测化学物质在体内的经皮吸收及后续处置情况,该模型主要基于通过体外和离体灌注皮肤制剂估算或测量得到的生物物理参数。药物透过皮肤屏障的扩散和分配、溶质和溶剂浓度动态变化、溶质和溶剂对角质层屏障的影响以及动态血管灌注效应等当前的物理化学原理均被整合到该模型中。在经皮吸收的定量模型中,要实现最佳的生物学相关性,采用这样一种综合方法是必要的,特别是当一种化学物质以二元(溶质和溶剂)或更复杂的制剂或化学混合物形式应用时。所提出的模型应可应用于:(a)设计用于被动或主动(如电辅助)透皮给药的药物和渗透促进剂;(b)评估皮肤科使用的局部用药的全身暴露情况;(c)整合到正在开发的其他数学模型中,以评估局部暴露于环境污染物混合物后的风险。我们还纳入了实验数据,以初步说明该模型的性能。

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