Abdelazim Hanaa, Barnes Audra, Stupin James, Hasson Ranah, Muñoz-Ballester Carmen, Young Kenneth L, Robel Stefanie, Smyth James W, Lamouille Samy, Chappell John C
Fralin Biomedical Research Institute (FBRI) at Virginia Tech-Carilion (VTC), 2 Riverside Circle, Roanoke, VA, 24016, USA.
FBRI Center for Vascular and Heart Research, Roanoke, VA, 24016, USA.
Sci Rep. 2025 May 6;15(1):15778. doi: 10.1038/s41598-025-99364-3.
Cerebrovascular networks contain a unique region of interconnected capillaries known as the blood-brain barrier (BBB). Positioned between upstream arteries and downstream veins, these microvessels have unique structural features, such as the absence of vascular smooth muscle cells (vSMCs) and a relatively thin basement membrane, to facilitate highly efficient yet selective exchange between the circulation and the brain interstitium. This vital role in neurological health and function has garnered significant attention from the scientific community and inspired methodology for enriching BBB capillaries. Extensive characterization of the isolates from such protocols is essential for framing the results of follow-on experiments and analyses, providing the most accurate interpretation and assignment of BBB properties. Seeking to aid in these efforts, here we visually screened output samples using fluorescent labels and found considerable reduction of non-vascular cells following density gradient centrifugation (DGC) and subsequent filtration. Comparatively, this protocol enriched brain capillaries, though larger diameter vessels associated with vSMCs could not be fully excluded. Protein analysis further underscored the enrichment of vascular markers following DGC, with filtration preserving BBB-associated markers and reducing - though not fully removing - arterial/venous contributions. Transcriptional profiling followed similar trends of DGC plus filtration generating isolates with less non-vascular and non-capillary material included. Considering vascular network hierarchy inspired a more comprehensive assessment of the material yielded from brain microvasculature isolation protocols. This approach is important for providing an accurate representation of the cerebrovascular segments being used for data collection and assigning BBB properties specifically to capillaries relative to other regions of the brain vasculature.
脑血管网络包含一个由相互连接的毛细血管组成的独特区域,即血脑屏障(BBB)。这些微血管位于上游动脉和下游静脉之间,具有独特的结构特征,如缺乏血管平滑肌细胞(vSMC)和相对较薄的基底膜,以促进循环与脑间质之间高效且有选择性的物质交换。其在神经健康和功能方面的这一重要作用已引起科学界的广泛关注,并激发了富集血脑屏障毛细血管的方法学研究。对此类方案所分离出的样本进行广泛表征,对于阐述后续实验和分析结果至关重要,能为血脑屏障特性提供最准确的解释和归属。为助力这些工作,我们在此使用荧光标记对输出样本进行了视觉筛选,发现密度梯度离心(DGC)及后续过滤后非血管细胞数量大幅减少。相比之下,该方案富集了脑毛细血管,不过与血管平滑肌细胞相关的较大直径血管无法被完全排除。蛋白质分析进一步强调了密度梯度离心后血管标志物的富集情况,过滤过程保留了与血脑屏障相关的标志物,并减少了(虽未完全去除)动脉/静脉成分的影响。转录谱分析呈现出类似趋势,即密度梯度离心加过滤所产生的分离物中包含的非血管和非毛细血管物质较少。考虑到血管网络层次结构,促使我们对从脑微血管分离方案中获得的材料进行更全面的评估。这种方法对于准确呈现用于数据收集的脑血管段以及相对于脑脉管系统其他区域专门将血脑屏障特性赋予毛细血管而言非常重要。