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用于模拟吸入化合物的沉积、肺表面积和肺液测量

Measurements of Deposition, Lung Surface Area and Lung Fluid for Simulation of Inhaled Compounds.

作者信息

Fröhlich Eleonore, Mercuri Annalisa, Wu Shengqian, Salar-Behzadi Sharareh

机构信息

Center for Medical Research, Medical University of Graz Graz, Austria.

Research Center Pharmaceutical Engineering GmbH Graz, Austria.

出版信息

Front Pharmacol. 2016 Jun 24;7:181. doi: 10.3389/fphar.2016.00181. eCollection 2016.

Abstract

Modern strategies in drug development employ in silico techniques in the design of compounds as well as estimations of pharmacokinetics, pharmacodynamics and toxicity parameters. The quality of the results depends on software algorithm, data library and input data. Compared to simulations of absorption, distribution, metabolism, excretion, and toxicity of oral drug compounds, relatively few studies report predictions of pharmacokinetics and pharmacodynamics of inhaled substances. For calculation of the drug concentration at the absorption site, the pulmonary epithelium, physiological parameters such as lung surface and distribution volume (lung lining fluid) have to be known. These parameters can only be determined by invasive techniques and by postmortem studies. Very different values have been reported in the literature. This review addresses the state of software programs for simulation of orally inhaled substances and focuses on problems in the determination of particle deposition, lung surface and of lung lining fluid. The different surface areas for deposition and for drug absorption are difficult to include directly into the simulations. As drug levels are influenced by multiple parameters the role of single parameters in the simulations cannot be identified easily.

摘要

现代药物研发策略在化合物设计以及药代动力学、药效学和毒性参数估计中采用计算机模拟技术。结果的质量取决于软件算法、数据库和输入数据。与口服药物化合物的吸收、分布、代谢、排泄及毒性模拟相比,关于吸入物质药代动力学和药效学预测的研究相对较少。为计算吸收部位(肺上皮)的药物浓度,必须了解诸如肺表面积和分布容积(肺衬液)等生理参数。这些参数只能通过侵入性技术和死后研究来确定。文献中报道的数值差异很大。本综述阐述了用于模拟口服吸入物质的软件程序的现状,并重点关注颗粒沉积、肺表面积和肺衬液测定方面的问题。不同的沉积表面积和药物吸收表面积难以直接纳入模拟。由于药物水平受多个参数影响,单个参数在模拟中的作用不易确定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb38/4919356/fb5ed8df88c8/fphar-07-00181-g0001.jpg

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