Balendra S I, Normando E M, Bloom P A, Cordeiro M F
Glaucoma and Retinal Neurodegeneration Group, Department of Visual Neuroscience, UCL Institute of Ophthalmology, London, UK.
Imperial College Ophthalmology Research Group (ICORG), Western Eye Hospital, Imperial College Healthcare Trust, London, UK.
Eye (Lond). 2015 Oct;29(10):1260-9. doi: 10.1038/eye.2015.154. Epub 2015 Aug 21.
Glaucoma is one of the leading causes of blindness worldwide and will affect 79.6 million people worldwide by 2020. It is caused by the progressive loss of retinal ganglion cells (RGCs), predominantly via apoptosis, within the retinal nerve fibre layer and the corresponding loss of axons of the optic nerve head. One of its most devastating features is its late diagnosis and the resulting irreversible visual loss that is often predictable. Current diagnostic tools require significant RGC or functional visual field loss before the threshold for detection of glaucoma may be reached. To propel the efficacy of therapeutics in glaucoma, an earlier diagnostic tool is required. Recent advances in retinal imaging, including optical coherence tomography, confocal scanning laser ophthalmoscopy, and adaptive optics, have propelled both glaucoma research and clinical diagnostics and therapeutics. However, an ideal imaging technique to diagnose and monitor glaucoma would image RGCs non-invasively with high specificity and sensitivity in vivo. It may confirm the presence of healthy RGCs, such as in transgenic models or retrograde labelling, or detect subtle changes in the number of unhealthy or apoptotic RGCs, such as detection of apoptosing retinal cells (DARC). Although many of these advances have not yet been introduced to the clinical arena, their successes in animal studies are enthralling. This review will illustrate the challenges of imaging RGCs, the main retinal imaging modalities, the in vivo techniques to augment these as specific RGC-imaging tools and their potential for translation to the glaucoma clinic.
青光眼是全球失明的主要原因之一,到2020年将影响全球7960万人。它是由视网膜神经纤维层内视网膜神经节细胞(RGCs)逐渐丧失引起的,主要通过凋亡,以及视神经乳头轴突的相应丧失。其最具破坏性的特征之一是诊断较晚,以及由此导致的通常可预测的不可逆视力丧失。目前的诊断工具在达到青光眼检测阈值之前需要RGCs有显著丧失或功能性视野缺损。为提高青光眼治疗的疗效,需要一种更早的诊断工具。视网膜成像的最新进展,包括光学相干断层扫描、共焦扫描激光眼底镜检查和自适应光学,推动了青光眼的研究以及临床诊断和治疗。然而,一种理想的用于诊断和监测青光眼的成像技术应能在体内以高特异性和敏感性对RGCs进行无创成像。它可以确认健康RGCs的存在,如在转基因模型或逆行标记中,或检测不健康或凋亡RGCs数量的细微变化,如检测凋亡视网膜细胞(DARC)。尽管这些进展中的许多尚未引入临床领域,但它们在动物研究中的成功令人着迷。本综述将阐述RGCs成像的挑战、主要的视网膜成像方式、作为特定RGC成像工具增强这些方式的体内技术及其转化到青光眼临床的潜力。