Ultrathin Silicon Membranes for in Situ Optical Analysis of Nanoparticle Translocation across a Human Blood-Brain Barrier Model

超薄硅膜用于纳米粒子跨人类血脑屏障模型的原位光学分析

阅读:5
作者:Diána Hudecz, Tejas Khire, Hung Li Chung, Laurent Adumeau, Dale Glavin, Emma Luke, Morten S Nielsen, Kenneth A Dawson, James L McGrath, Yan Yan

Abstract

Here we present a blood-brain barrier (BBB) model that enables high-resolution imaging of nanoparticle (NP) interactions with endothelial cells and the capture of rare NP translocation events. The enabling technology is an ultrathin silicon nitride (SiN) membrane (0.5 μm pore size, 20% porosity, 400 nm thickness) integrated into a dual-chamber platform that facilitates imaging at low working distances (∼50 μm). The platform, the μSiM-BBB (microfluidic silicon membrane-BBB), features human brain endothelial cells and primary astrocytes grown on opposite sides of the membrane. The human brain endothelial cells form tight junctions on the ultrathin membranes and exhibit a significantly higher resistance to FITC-dextran diffusion than commercial membranes. The enhanced optical properties of the SiN membrane allow high-resolution live-cell imaging of three types of NPs, namely, 40 nm PS-COOH, 100 nm PS-COOH, and apolipoprotein E-conjugated 100 nm SiO2, interacting with the BBB. Despite the excellent barrier properties of the endothelial layer, we are able to document rare NP translocation events of NPs localized to lysosomal compartments of astrocytes on the "brain side" of the device. Although the translocation is always low, our data suggest that size and targeting ligand are important parameters for NP translocation across the BBB. As a platform that enables the detection of rare transmission across tight BBB layers, the μSiM-BBB is an important tool for the design of nanoparticle-based delivery of drugs to the central nervous system.

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。