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健康和患病血脑屏障体外模型的组成与特性的荟萃分析。

Meta-analysis of the make-up and properties of in vitro models of the healthy and diseased blood-brain barrier.

作者信息

Shamul James G, Wang Zhiyuan, Gong Hyeyeon, Ou Wenquan, White Alisa M, Moniz-Garcia Diogo P, Gu Shuo, Clyne Alisa Morss, Quiñones-Hinojosa Alfredo, He Xiaoming

机构信息

Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.

RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA.

出版信息

Nat Biomed Eng. 2025 Apr;9(4):566-598. doi: 10.1038/s41551-024-01250-2. Epub 2024 Sep 20.

Abstract

In vitro models of the human blood-brain barrier (BBB) are increasingly used to develop therapeutics that can cross the BBB for treating diseases of the central nervous system. Here we report a meta-analysis of the make-up and properties of transwell and microfluidic models of the healthy BBB and of BBBs in glioblastoma, Alzheimer's disease, Parkinson's disease and inflammatory diseases. We found that the type of model, the culture method (static or dynamic), the cell types and cell ratios, and the biomaterials employed as extracellular matrix are all crucial to recapitulate the low permeability and high expression of tight-junction proteins of the BBB, and to obtain high trans-endothelial electrical resistance. Specifically, for models of the healthy BBB, the inclusion of endothelial cells and pericytes as well as physiological shear stresses (~10-20 dyne cm) are necessary, and when astrocytes are added, astrocytes or pericytes should outnumber endothelial cells. We expect this meta-analysis to facilitate the design of increasingly physiological models of the BBB.

摘要

人体血脑屏障(BBB)的体外模型越来越多地用于开发能够穿越血脑屏障以治疗中枢神经系统疾病的疗法。在此,我们报告了一项关于健康血脑屏障以及胶质母细胞瘤、阿尔茨海默病、帕金森病和炎症性疾病中血脑屏障的Transwell和微流控模型的组成和特性的荟萃分析。我们发现模型类型、培养方法(静态或动态)、细胞类型和细胞比例以及用作细胞外基质的生物材料对于重现血脑屏障的低通透性和紧密连接蛋白的高表达以及获得高跨内皮电阻至关重要。具体而言,对于健康血脑屏障模型,加入内皮细胞和周细胞以及生理剪切应力(约10 - 20达因/厘米)是必要的,并且当添加星形胶质细胞时,星形胶质细胞或周细胞的数量应超过内皮细胞。我们期望这项荟萃分析有助于设计越来越符合生理状态的血脑屏障模型。

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