A 3D Model of the Human Lung Airway for Evaluating Permeability of Inhaled Drugs

用于评估吸入药物渗透性的人体肺气道三维模型

阅读:1

Abstract

Current in vitro cell-based methods, relying on single cell types, have structural and functional limitations in determining lung drug permeability, which is a contributing factor affecting both local and systemic drug levels. To address this issue, we investigated a 3D human lung airway model generated using a cell culture insert, wherein primary human lung epithelial and endothelial cells were cocultured at an air-liquid interface (ALI). To ensure that the cell culture mimics the physiological and functional characteristics of airway tissue, the model was characterized by evaluating several parameters such as cellular confluency, ciliation, tight junctions, mucus-layer formation, transepithelial electrical resistance, and barrier function through assaying fluorescein isothiocyanate-dextran permeability. To understand how the characterized ALI quality attributes influenced the absorption of inhaled drugs through the epithelial-endothelial barrier, we measured the permeability and epithelial intracellular concentrations of albuterol sulfate (AL), formoterol fumarate (FO), and fluticasone furoate (FL). The presented characterization results overall demonstrate that this culture platform mimicked the airway-specific structure and barrier function. An apparent permeability (P (app)) of 5.7 × 10(-6) cm/s and an intracellular concentration below 1% were quantified for AL over 3 h. The P (app) of FO was 8.5 × 10(-6) cm/s, with an intracellular concentration of 3.8%. Due to its high lipophilicity, FL showed a higher intracellular concentration (17.4%) compared to AL and FO, but also a 73.1% loss of the compound over 3 h due to nonspecific binding, with a P (app) as low as 1.3 × 10(-7) cm/s. While the model exhibited physiologically relevant properties, its utility in estimating the permeability of inhaled drugs may be drug-specific, warranting further optimization and study.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。