Swain David L, Le Thuy Duong, Lam Connie, Gong Haiyan
Department of Ophthalmology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States; Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Exp Eye Res. 2025 Oct;259:110577. doi: 10.1016/j.exer.2025.110577. Epub 2025 Aug 11.
With the introduction of automated serial block-face imaging, we can now more accurately investigate the characteristics of pores in the inner wall endothelium of Schlemm's canal (SC). Previous studies analyzing pores using two-dimensional (2D) scanning or transmission electron microscopy were limited to either en face or random cross-sectional imaging and may have overlooked some of the pores. Additionally, the pores' morphological characteristics in different segmental flow areas (i.e. high-, low-, and non-flow) have not been fully explored. This study aimed to further characterize the two types of pores in different flow areas of human eyes using serial block-face scanning electron microscopy (SBF-SEM). Two normal human eyes were perfused at 15 mmHg with fluorescent tracers to label high-, low-, and non-flow outflow areas before being dissected, sectioned serially (thickness = 0.13 μm), and imaged. A total of 10,832 serial images were examined to identify all intracellular pores (I-pores) and intercellular or border pores (B-pores). Pore densities per unit inner wall area and per inner wall cell nucleus were measured, and pore sizes were determined. The locations of I-pores on giant vacuoles (GVs), whether on the top or sides of GVs, were classified. Pores that would be potentially missed using 2D scanning electron microscopy and I-pores on the edges of inner wall cells that could be mistaken for B-pores were identified. We observed 729 pores, of which 656 (90.0 %) were GV-associated I-pores, 25 (3.4 %) were non-GV-associated I-pores, and 48 (6.6 %) were B-pores. Overall, there were significantly more I-pores (93.4 %) than B-pores (6.6 %). Of all I-pores, the majority (96.3 %) were associated with GVs. A significantly greater number of GV-associated I-pores were located on the side of GVs (413/656, 63.0 %), compared to the top of GVs (243/656, 37.0 %; P ≤ 0.01), which was observed similarly in all flow-type areas. I-pore density was higher in high-flow areas compared to low- or non-flow areas in both eyes, whereas B-pore densities did not appear to differ between flow-type areas. From an en face view via traditional SEM, 6.6 % of I-pores were on the sides of GVs and/or near the edge of cells and could have been mistaken as B-pores. Additionally, 32.0 % of all pores could have been missed by 2D-SEM due to obstruction by neighboring cells/GVs (31.4 % of I-pores and 39.6 % of B-pores). Median major and minor axes of I-pores were significantly smaller in high-flow areas, compared to non-flow areas (P = 0.024 and P = 0.048, respectively). B-pores were not significantly different in size among flow-type areas. SBF-SEM and three-dimensional (3D) reconstruction provided an improved method to identify the pores of SC inner wall, as the cells could be rotated freely to any viewpoint. This study applied a novel method to investigate the morphological characteristics of pores and found that pores in high-flow areas were more numerous and smaller than in non-flow areas, suggesting that pore morphology and density may play a role in the regulation of segmental aqueous humor outflow.
随着自动连续块面成像技术的引入,我们现在能够更准确地研究施莱姆管(SC)内壁内皮细胞中孔隙的特征。以往使用二维(2D)扫描或透射电子显微镜分析孔隙的研究仅限于正面或随机横截面成像,可能忽略了一些孔隙。此外,不同节段性流动区域(即高、低和无流动区域)中孔隙的形态特征尚未得到充分探索。本研究旨在使用连续块面扫描电子显微镜(SBF-SEM)进一步表征人眼不同流动区域中的两种孔隙类型。对两只正常人类眼睛在15 mmHg压力下灌注荧光示踪剂,以标记高、低和无流动流出区域,然后进行解剖、连续切片(厚度 = 0.13μm)并成像。共检查了10832张连续图像,以识别所有细胞内孔隙(I型孔隙)和细胞间或边界孔隙(B型孔隙)。测量了每单位内壁面积和每内壁细胞核的孔隙密度,并确定了孔隙大小。对巨型液泡(GVs)上I型孔隙的位置进行分类,无论其位于GVs的顶部还是侧面。识别出了使用2D扫描电子显微镜可能遗漏的孔隙以及内壁细胞边缘可能被误认为B型孔隙的I型孔隙。我们观察到729个孔隙,其中656个(90.0%)是与GVs相关的I型孔隙,25个(3.4%)是与GVs无关的I型孔隙,48个(6.6%)是B型孔隙。总体而言,I型孔隙(93.4%)明显多于B型孔隙(6.6%)。在所有I型孔隙中,大多数(96.3%)与GVs相关。与GVs顶部(243/656,37.0%;P≤0.01)相比,位于GVs侧面的与GVs相关的I型孔隙数量明显更多(413/656,63.0%),在所有流动类型区域均观察到类似情况。与低或无流动区域相比,两只眼睛的高流动区域中I型孔隙密度更高,而B型孔隙密度在不同流动类型区域之间似乎没有差异。通过传统扫描电子显微镜从正面观察,6.6%的I型孔隙位于GVs侧面和/或靠近细胞边缘,可能被误认为B型孔隙。此外,由于相邻细胞/GVs的阻挡,2D扫描电子显微镜可能会遗漏32.0%的所有孔隙(I型孔隙的31.4%和B型孔隙的39.6%)。与无流动区域相比,高流动区域中I型孔隙的长轴和短轴中位数明显更小(分别为P = 0.024和P = 0.048)。B型孔隙在不同流动类型区域的大小没有显著差异。SBF-SEM和三维(3D)重建提供了一种改进的方法来识别SC内壁的孔隙,因为细胞可以自由旋转到任何视角。本研究应用了一种新方法来研究孔隙的形态特征,发现高流动区域中的孔隙比无流动区域更多且更小,这表明孔隙形态和密度可能在节段性房水流出调节中起作用。