Blood-Brain Barrier Laboratory, Department of Cell Biology, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030, USA.
Microvasc Res. 2013 Mar;86:1-10. doi: 10.1016/j.mvr.2012.12.001. Epub 2012 Dec 20.
Tight junctions (TJs) feature critically in maintaining the integrity of the blood-brain barrier (BBB), and undergo significant disruption during neuroinflammatory diseases. Accordingly, the expression and distribution of CLN-5, a prominent TJ protein in central nervous system (CNS) microvessels and BBB determinant, has been shown to parallel physiological and pathophysiological changes in microvascular function. However, efforts to quantify CLN-5 within the CNS microvasculature in situ, by using conventional two-dimensional immunohistochemical analysis of thin sections, are encumbered by the tortuosity of capillaries and distorted diameters of inflamed venules. Herein, we describe a novel contour-based 3D image visualization and quantification method, employing high-resolution confocal z-stacks from thick immunofluorescently-stained thoraco-lumbar spinal cord cryosections, to analyze CLN-5 along the junctional regions of different-sized CNS microvascular segments. Analysis was performed on spinal cords of both healthy mice, and mice experiencing experimental autoimmune encephalomyelitis (EAE), an animal model of the neuroinflammatory disease multiple sclerosis. Results indicated that, under normal conditions, the density of CLN-5 staining (CLN-5 intensity/ endothelial surface area) was greatest in the capillaries and smaller venules, and least in the larger venules. This heterogeneity in junctional CLN-5 staining was exacerbated during EAE, as spinal venules revealed a significant loss of junctional CLN-5 staining that was associated with focal leukocyte extravasation, while adjacent capillaries exhibited neither CLN-5 loss nor infiltrating leukocytes. However, despite only venules displaying these behaviors, both capillaries and venules evidenced leakage of IgG during disease, further underscoring the heterogeneity of the inflammatory response in CNS microvessels. This method should be readily adaptable to analyzing other junctional proteins of the CNS and peripheral microvasculature, and serve to highlight their role(s) in health and disease.
紧密连接 (TJ) 在维持血脑屏障 (BBB) 的完整性方面起着至关重要的作用,并且在神经炎症性疾病期间会发生明显的破坏。因此,CLN-5 的表达和分布,作为中枢神经系统 (CNS) 微血管和 BBB 决定因素中的主要 TJ 蛋白,已经被证明与微血管功能的生理和病理生理变化平行。然而,通过对薄切片进行传统的二维免疫组织化学分析来定量 CNS 微血管内的 CLN-5,受到毛细血管的弯曲和炎症性小静脉直径扭曲的阻碍。在此,我们描述了一种新颖的基于轮廓的 3D 图像可视化和定量方法,该方法使用来自厚免疫荧光染色的胸腰椎脊髓冷冻切片的高分辨率共聚焦 z 堆叠,来分析不同大小的 CNS 微血管段的交界处的 CLN-5。该分析在健康小鼠和经历实验性自身免疫性脑脊髓炎 (EAE) 的小鼠的脊髓上进行,EAE 是神经炎症性疾病多发性硬化症的动物模型。结果表明,在正常情况下,CLN-5 染色的密度(CLN-5 强度/内皮表面积)在毛细血管和较小的小静脉中最大,在较大的小静脉中最小。这种在连接 CLN-5 染色中的异质性在 EAE 期间加剧,因为脊髓小静脉显示出连接 CLN-5 染色的显著丢失,这与局灶性白细胞渗出有关,而相邻的毛细血管既没有 CLN-5 丢失也没有浸润的白细胞。然而,尽管只有小静脉表现出这些行为,但在疾病期间,毛细血管和小静脉都显示 IgG 渗漏,这进一步强调了 CNS 微血管中炎症反应的异质性。该方法应该很容易适应分析 CNS 和外周微血管的其他连接蛋白,并突出它们在健康和疾病中的作用。