Ophthalmology Department, Amsterdam UMC, location VUmc, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands.
Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
BMC Geriatr. 2020 Apr 28;20(1):155. doi: 10.1186/s12877-020-01556-1.
Ocular imaging receives much attention as a source of potential biomarkers for dementia. In the present study, we analyze these ocular biomarkers in cognitively impaired and healthy participants in a population aged over 90 years (= nonagenarian), and elucidate the effects of age on these biomarkers.
For this prospective cross-sectional study, we included individuals from the EMIF-AD 90+ study, consisting of a cognitively healthy (N = 67) and cognitively impaired group (N = 33), and the EMIF-AD PreclinAD study, consisting of cognitively healthy controls aged ≥60 (N = 198). Participants underwent Optical Coherence Tomography (OCT) and fundus photography of both eyes. OCT was used to asses total and individual inner retinal layer thickness in the macular region (Early Treatment Diabetic Retinopathy Study circles) as well as peripapillary retinal nerve fiber layer thickness, fundus images were analyzed with Singapore I Vessel Assessment to obtain 7 retinal vascular parameters. Values for both eyes were averaged. Differences in ocular biomarkers between the 2 nonagenarian groups were analyzed using linear regression, differences between the individual nonagenarian groups and controls were analyzed using generalized estimating equations.
Ocular biomarkers did not differ between the healthy and cognitively impaired nonagenarian groups. 19 out of 22 ocular biomarkers assessed in this study differed between either nonagenarian group and the younger controls.
The ocular biomarkers assessed in this study were not associated with cognitive impairment in nonagenarians, making their use as a screening tool for dementing disorders in this group limited. However, ocular biomarkers were significantly associated with chronological age, which were very similar to those ascribed to occur in Alzheimer's Disease.
眼部成像作为痴呆症潜在生物标志物的来源受到广泛关注。在本研究中,我们分析了 90 岁以上人群(= 非 90 岁组)中认知障碍和健康参与者的这些眼部生物标志物,并阐明了年龄对这些生物标志物的影响。
这项前瞻性横断面研究纳入了 EMIF-AD 90+研究中的个体,包括认知健康组(N=67)和认知障碍组(N=33),以及 EMIF-AD PreclinAD 研究中的认知健康对照者(年龄≥60 岁,N=198)。参与者接受了双眼光学相干断层扫描(OCT)和眼底照相。OCT 用于评估黄斑区(早期治疗糖尿病视网膜病变研究圈)总视网膜和各层内视网膜厚度以及视盘周围视网膜神经纤维层厚度,眼底图像用新加坡 I 血管评估进行分析,以获得 7 个视网膜血管参数。双眼的数值进行平均。使用线性回归分析 2 个非 90 岁组之间的眼部生物标志物差异,使用广义估计方程分析各个非 90 岁组与对照组之间的差异。
健康非 90 岁组和认知障碍非 90 岁组之间的眼部生物标志物没有差异。在本研究中评估的 22 个眼部生物标志物中有 19 个在任一个非 90 岁组与年轻对照组之间存在差异。
本研究中评估的眼部生物标志物与非 90 岁组的认知障碍无关,因此在该组中作为痴呆症筛查工具的用途有限。然而,眼部生物标志物与年龄呈显著相关,这与归因于阿尔茨海默病发生的年龄非常相似。