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一种用于人体皮肤吸收的计算机模拟预测策略。

A strategy for in-silico prediction of skin absorption in man.

作者信息

Selzer Dominik, Neumann Dirk, Neumann Heike, Kostka Karl-Heinz, Lehr Claus-Michael, Schaefer Ulrich F

机构信息

Biopharmaceutics and Pharmaceutical Technology, Saarland University, D-66123 Saarbruecken, Germany.

Scientific Consilience, Saarland University, D-66123 Saarbruecken, Germany.

出版信息

Eur J Pharm Biopharm. 2015 Sep;95(Pt A):68-76. doi: 10.1016/j.ejpb.2015.05.002. Epub 2015 May 29.

Abstract

For some time, in-silico models to address substance transport into and through the skin are gaining more and more importance in different fields of science and industry. In particular, the mathematical prediction of in-vivo skin absorption is of great interest to overcome ethical and economical issues. The presented work outlines a strategy to address this problem and in particular, investigates in-vitro and in-vivo skin penetration experiments of the model compound flufenamic acid solved in an ointment by means of a mathematical model. Experimental stratum corneum concentration-depth profiles (SC-CDP) for various time intervals using two different in-vitro systems (Franz diffusion cell, Saarbruecken penetration model) were examined and simulated with the help of a highly optimized three compartment numerical diffusion model and compared to the findings of SC-CDPs of the in-vivo scenario. Fitted model input parameters (diffusion coefficient and partition coefficient with respect to the stratum corneum) for the in-vitro infinite dose case could be used to predict the in-use conditions in-vitro. Despite apparent differences in calculated partition coefficients between in-vivo and in-vitro studies, prediction of in-vivo scenarios from input parameters calculated from the in-vitro case yielded reasonable results.

摘要

一段时间以来,用于研究物质进入皮肤并透过皮肤的计算机模拟模型在不同科学和工业领域正变得越来越重要。特别是,体内皮肤吸收的数学预测对于克服伦理和经济问题具有极大的吸引力。本文所呈现的工作概述了一种解决该问题的策略,尤其是借助数学模型研究了溶解在软膏中的模型化合物氟芬那酸的体外和体内皮肤渗透实验。使用两种不同的体外系统(弗兰兹扩散池、萨尔布吕肯渗透模型)对不同时间间隔的实验角质层浓度-深度分布(SC-CDP)进行了检测,并借助高度优化的三室数值扩散模型进行了模拟,同时与体内情况的SC-CDP结果进行了比较。体外无限剂量情况下拟合的模型输入参数(相对于角质层的扩散系数和分配系数)可用于预测体外实际使用条件。尽管体内和体外研究计算出的分配系数存在明显差异,但根据体外情况计算出的输入参数对体内情况进行预测仍得出了合理的结果。

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