Vascular smooth muscle cell contractile proteins as universal markers of vessels of microcirculatory bed

L. Bogdanov, E. Velikanova, A. Kanonykina, A. Frolov, D. Shishkova, A. Lazebnaya, A. Kutikhin
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引用次数: 2

Abstract

Highlights. The use of vascular smooth muscle cell markers, e.g. smooth muscle myosin heavy chain (SM-MHC) and alpha smooth muscle actin (α-SMA) for immunodetection of adventitial and perivascular microvessels (vasa vasorum) is preferrable over endothelial markers (CD31 and VE-cadherin) as it allows to define vascular geometry regardless of sectioning artifacts and provides ideal signal-to-noise ratio.Aside from elastic laminae which discriminate arterioles from venules and capillaries, we were unable to confirm any specific markers of arterial, venous, and capillary differentiation, although KLF2 and PROX1 transcription factors indicated venous specification and HEY1 suggested capillary identity in rat aortas.Aim. To develop an optimal approach to detection of microvessels and to evaluate the techniques for the differential immunostaining of arterioles, venules, and capillaries in human saphenous veins and rat aortas.Methods. Saphenous veins excised during the coronary artery bypass graft surgery were used for the study. Serial cryosections were analyzed by means of haematoxylin and eosin and Russell-Movat’s pentachrome stainings and by immunofluorescent staining for endothelial cell markers (CD31 and VE-cadherin), vascular smooth muscle cell markers (SM-MHC and α-SMA), mechanosensitive transcription factors (KLF2 and KLF4), transcription factors of arterial specification (HES1, HEY1, ERG), transcription factors and markers of venous identity (NR2F2, NRP2), and transcription factors and markers of lymphatic lineage (PROX1, LYVE1, VEGFR3). Samples were visualized by light and confocal microscopy.Results. In comparison with endothelial cell markers (CD31 and VE-cadherin), vascular smooth muscle cell markers (SM-MHC and α-SMA) permitted objective evaluation of vascular geometry and maximized signal-to-noise ratio irrespective of specific marker, microvessel specification or antibody used. Autofluorescence and specific histological  pattern  of  elastic  membranes  at  Russell-Movat’s  pentachrome staining allowed to discriminate arterioles from venules and capillaries. Albeit immunostaining of rat aortas found specific markers of venous endothelial cells (KLF2 and PROX1) and capillary endothelial cells (HEY1), these findings have not been confirmed in saphenous veins. We were unable to find specific markers of human venules and capillaries among the saphenous vein vasa vasorum despite an extensive screening of multiple markers.Conclusion. Immunodetection of microvessels (e.g., vasa vasorum) should be performed by using vascular smooth muscle cell markers (SM-MHC and α-SMA) rather than endothelial cell markers (CD31 and VE-cadherin). Lack of specific markers to discern microvessels of different lineages suggests Russell-Movat’s pentachrome staining as an optimal option for the machine learning of neural networks to analyse the microvessels including vasa vasorum.
血管平滑肌细胞收缩蛋白作为微循环床血管的通用标志物
高光。使用血管平滑肌细胞标记物,如平滑肌肌球蛋白重链(SM-MHC)和α-肌动蛋白(α-SMA)进行血管外和血管周围微血管(血管)的免疫检测,比内皮标记物(CD31和ve -钙粘蛋白)更可取,因为它允许定义血管几何形状,而不考虑切片伪像,并提供理想的信噪比。除了区分小动脉、小静脉和毛细血管的弹性膜外,我们无法确定动脉、静脉和毛细血管分化的任何特异性标志物,尽管KLF2和PROX1转录因子表明大鼠主动脉的静脉特异性,而HEY1表明毛细血管特异性。建立一种检测微血管的最佳方法,并对人隐静脉和大鼠主动脉小动脉、小静脉和毛细血管的鉴别免疫染色技术进行评价。在冠状动脉搭桥术中切除的隐静脉被用于研究。连续冷冻标本采用血红素、曙红和russel - movat五色染色,内皮细胞标志物(CD31和VE-cadherin)、血管平滑肌细胞标志物(SM-MHC和α-SMA)、机械敏感转录因子(KLF2和KLF4)、动脉特异性转录因子(HES1、HEY1、ERG)、静脉特异性转录因子和标志物(NR2F2、NRP2)的免疫荧光染色进行分析。淋巴谱系的转录因子和标记(PROX1, LYVE1, VEGFR3)。用光学显微镜和共聚焦显微镜观察样品。与内皮细胞标记物(CD31和VE-cadherin)相比,血管平滑肌细胞标记物(SM-MHC和α-SMA)可以客观评估血管几何形状,并最大化信噪比,而不考虑特定标记物、微血管规格或使用的抗体。Russell-Movat五色染色的自身荧光和弹性膜的特定组织学模式可以区分小动脉、小静脉和毛细血管。尽管大鼠主动脉的免疫染色发现了静脉内皮细胞(KLF2和PROX1)和毛细血管内皮细胞(HEY1)的特异性标记,但这些发现尚未在隐静脉中得到证实。尽管对多种标记物进行了广泛的筛选,但我们无法在大隐静脉血管中找到人类小静脉和毛细血管的特异性标记物。微血管(如血管血管)的免疫检测应使用血管平滑肌细胞标记物(SM-MHC和α-SMA)而不是内皮细胞标记物(CD31和VE-cadherin)。由于缺乏特异性标记来识别不同谱系的微血管,因此Russell-Movat的五色染色法是神经网络机器学习分析微血管(包括血管)的最佳选择。
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