Retinal biomarkers in Alzheimer’s disease and mild cognitive impairment: A systematic review and meta-analysis

视网膜 医学 脉络膜 神经纤维层 荟萃分析 眼科 生物标志物 内科学 病理 视网膜 神经科学 肿瘤科 心理学 生物 生物化学
作者
Yi‐Jun Ge,Wei Xu,Ya‐Nan Ou,Yi Qu,Ya‐Hui Ma,Yuyuan Huang,Xue‐Ning Shen,Shi-Dong Chen,Lan Tan,Qianhua Zhao,Jin‐Tai Yu
出处
期刊:Ageing Research Reviews [Elsevier BV]
卷期号:69: 101361-101361 被引量:112
标识
DOI:10.1016/j.arr.2021.101361
摘要

• Non-invasive retinal imaging is helpful for early detection of Alzheimer's disease. • Retinal structural, vascular, electrophysiological features are useful biomarkers. • These retinal imaging biomarkers cannot be applied to clinical practice yet. Retinal changes may reflect the pathophysiological processes in the central nervous system and can be assessed by imaging modalities non-invasively. We aim to localize candidate retinal biomarkers in Alzheimer’s disease (AD), mild cognitive impairment (MCI), and preclinical AD. We systematically searched PubMed, EMBASE, Scopus, and Web of Science from inception to January 2021 for observational studies that investigated retinal imaging and electrophysiological markers in AD, MCI, and preclinical AD. Between-groups standardized mean differences (SMDs) with 95 % confidence intervals were computed using random-effects models. Of 19,727 citations identified, 126 articles were eligible for inclusion. Compared with healthy controls, the thickness of peripapillary retinal nerve fiber layer (pRNFL; SMD = -0.723, p < 0.001), total macular (SMD = -0.612, p < 0.001), and subfoveal choroid (SMD = -0.888, p < 0.001) were significantly reduced in patients with AD. Compared with healthy controls, patients with MCI also had lower thickness of pRNFL (SMD = -0.324, p < 0.001), total macular (SMD = -0.302, p < 0.001), and subfoveal choroid (SMD = -0.462, p = 0.020). Other candidate biomarkers included the optic nerve head morphology, retinal amyloid deposition, microvascular morphology and densities, blood flow, and electrophysiological markers. Retinal structural, vascular, and electrophysiological biomarkers hold great potential for the diagnosis, prognosis and risk assessment of AD and MCI. These biomarkers warrant further development in the future, especially in diagnostic test accuracy and longitudinal studies.
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