Department of Pathology & Cell Biology; Vagelos College of Physicians and Surgeons, Columbia University.
Department of Molecular Pharmacology and Therapeutics; Vagelos College of Physicians and Surgeons, Columbia University.
J Vis Exp. 2022 Apr 21(182). doi: 10.3791/63782.
Advancements in ophthalmic imaging tools offer an unprecedented level of access to researchers working with animal models of neurovascular injury. To properly leverage this greater translatability, there is a need to devise reproducible methods of drawing quantitative data from these images. Optical coherence tomography (OCT) imaging can resolve retinal histology at micrometer resolution and reveal functional differences in vascular blood flow. Here, we delineate noninvasive vascular readouts that we use to characterize pathological damage post vascular insult in an optimized mouse model of retinal vein occlusion (RVO). These readouts include live imaging analysis of retinal morphology, disorganization of retinal inner layers (DRIL) measure of capillary ischemia, and fluorescein angiography measures of retinal edema and vascular density. These techniques correspond directly to those used to examine patients with retinal disease in the clinic. Standardizing these methods enables direct and reproducible comparison of animal models with clinical phenotypes of ophthalmic disease, increasing the translational power of vascular injury models.
眼科成像工具的进步为研究神经血管损伤动物模型的研究人员提供了前所未有的机会。为了充分利用这种更高的可翻译性,需要设计出从这些图像中提取定量数据的可重复方法。光学相干断层扫描(OCT)成像可以以微米分辨率解析视网膜组织学,并揭示血管血流的功能差异。在这里,我们描述了非侵入性血管读数,我们用于在优化的视网膜静脉阻塞(RVO)小鼠模型中表征血管损伤后的病理损伤。这些读数包括视网膜形态的活体成像分析、毛细血管缺血的视网膜内层紊乱(DRIL)测量以及视网膜水肿和血管密度的荧光素血管造影测量。这些技术与用于在临床中检查视网膜疾病患者的技术直接对应。使这些方法标准化可以实现动物模型与眼科疾病的临床表型的直接和可重复比较,从而增强血管损伤模型的转化能力。