视网膜功能和结构神经指数：监测大脑神经退行性变的潜在生物标志物：马斯特里赫特研究。
Retinal Functional and Structural Neural Indices: Potential Biomarkers for the Monitoring of Cerebral Neurodegeneration: The Maastricht Study.
机构信息
CARIM School for Cardiovascular Diseases, Maastricht University (UM), The Netherlands.
Department of Internal Medicine, Maastricht University Medical Centre+ (MUMC+), The Netherlands.
出版信息
J Alzheimers Dis. 2023;93(4):1471-1483. doi: 10.3233/JAD-230104.
BACKGROUND
If retinal indices of neurodegeneration are to be biomarkers for the monitoring of cerebral neurodegeneration, it is important to establish whether potentially modifiable risk factors for dementia are associated with retinal neurodegenerative changes.
OBJECTIVE
To study associations of dementia risk factors with retinal sensitivity, an index of retinal neural function, and retinal nerve fiber layer (RNFL) thickness, an index of retinal neural structure.
METHODS
We used cross-sectional data from The Maastricht Study (up to 5,666 participants, 50.5% men, mean age 59.7), and investigated associations with regression analyses (adjusted for potential confounders).
RESULTS
Most risk factors under study (i.e., hyperglycemia, unhealthy diet, lower cardiorespiratory fitness, smoking, alcohol consumption, and hypertension) were significantly associated with lower retinal sensitivity and lower RNFL thickness.
CONCLUSION
Findings of this population-based study support the concept that retinal neural indices may be biomarkers for the monitoring of therapeutic strategies that aim to prevent early-stage cerebral neurodegeneration and, ultimately, dementia.
背景
如果视网膜神经退行性变指标可作为监测大脑神经退行性变的生物标志物，那么确定痴呆的潜在可改变风险因素是否与视网膜神经退行性变化相关就很重要。
目的
研究痴呆风险因素与视网膜敏感性（视网膜神经功能的指标）和视网膜神经纤维层（RNFL）厚度（视网膜神经结构的指标）之间的关联。
方法
我们使用了马斯特里赫特研究（多达 5666 名参与者，50.5%为男性，平均年龄 59.7 岁）的横断面数据，并通过回归分析（调整了潜在混杂因素）进行了研究。
结果
研究中的大多数风险因素（即高血糖、不健康饮食、较低的心肺适应能力、吸烟、饮酒和高血压）与视网膜敏感性降低和 RNFL 厚度降低显著相关。
结论
这项基于人群的研究结果支持这样一种观点，即视网膜神经指标可能是监测旨在预防早期大脑神经退行性变并最终预防痴呆的治疗策略的生物标志物。
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