Retinal vasculometry associations with cognition status in UK Biobank.

IF 4 Q1 CLINICAL NEUROLOGY
Royce Shakespeare, Alicja R Rudnicka, Roshan Welikala, Sarah A Barman, Anthony P Khawaja, Paul J Foster, Christopher G Owen
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引用次数: 0

Abstract

Introduction: Retinal vasculometry (RV) provides a neurovascular biomarker which may relate to cognitive status. However, the presence and form of association remains unclear and unexamined at scale.

Methods: Artificial intelligence-enabled RV measures from 66,350 UK Biobank study participants were related to combined cognition scores. Differences in RV were examined per standard deviation (SD) increase in cognitive score, using multilevel linear regression, adjusted for age, sex, measurement center, ethnicity, and within-person RV clustering.

Results: One hundred ten thousand two hundred eighty-two retinal images from 63,165 (95%) participants (mean age 56.6 years, 55.5% female) were analyzed. A one SD increase in cognition score was strongly associated with increased arteriolar width, arteriolar tortuosity, increased venular width particularly among those < 50 years and venular area among those > 50 years; also, inversely associated with venular tortuosity, and arteriolar and venular width variance.

Discussion: These easily accessible, affordable, and non-invasive RV measures should be evaluated further as an early predictor of future neurodegenerative disease.

Highlights: How cognitive status relates to retinal vasculometry (RV) measures remains uncertain and unexamined at scale.Using data from a large population-based study (UK Biobank) we show strong graded associations between cognitive status and RV, which contrast with some RV associations observed with aging. Specifically, increased arteriolar tortuosity, arteriolar and venular width (at younger ages), and area are positively associated, and venular tortuosity and arteriolar and venular width variability are inversely associated with higher cognitive status, all showing strong, graded, precise relationships. These associations appeared to be strongest for fluid intelligence and prospective memory tests.These easily accessible, non-invasive RV measures provide a neurovascular marker indicative of cognitive status, which should be evaluated as early predictors of neurodegenerative disease.

英国生物银行视网膜血管测量与认知状态的关联。
视网膜血管测量(RV)提供了一种可能与认知状态相关的神经血管生物标志物。然而,这种关联的存在和形式仍然不清楚,也没有得到大规模的检验。方法:来自66,350名英国生物银行研究参与者的人工智能激活RV测量与综合认知评分相关。使用多水平线性回归,对年龄、性别、测量中心、种族和人内RV聚类进行校正,检验认知评分每标准差(SD)增加的RV差异。结果:分析了63,165名(95%)参与者(平均年龄56.6岁,女性55.5%)的110,282张视网膜图像。认知评分每增加1 SD与小动脉宽度、小动脉扭曲度、静脉宽度增加密切相关,尤其是在50岁以上;此外,与静脉曲度、小动脉和小静脉宽度变化呈负相关。讨论:这些容易获得、负担得起且无创的RV测量方法应该作为未来神经退行性疾病的早期预测指标进行进一步评估。重点:认知状态与视网膜血管测量(RV)测量的关系仍不确定,未进行大规模研究。我们使用了一项基于人群的大型研究(UK Biobank)的数据,发现认知状态和RV之间存在很强的分级关联,这与观察到的一些RV与衰老之间的关联形成了对比。具体来说,小动脉弯曲度、小动脉和小静脉宽度(年轻时)和面积增加正相关,小动脉弯曲度、小动脉和小静脉宽度变异性与较高的认知状态呈负相关,所有这些都显示出强烈的、分级的、精确的关系。这些关联在流体智力和前瞻记忆测试中表现得最为明显。这些容易获得、无创的RV测量提供了一种指示认知状态的神经血管标志物,应作为神经退行性疾病的早期预测指标进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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