一种深度学习的视网膜衰老生物标志物,用于认知衰退和发病性痴呆症
Ming Ann Sim1,2, Yih Chung Tham3,4,5, Simon Nusinovici4
1Memory Aging and Cognition Centre, Departments of Pharmacology and Psychological Medicine, National University of Singapore, Singapore, Singapore.
概括
一种新的视网膜衰老生物标志物RetiPhenoAge有效预测认知能力下降和痴呆风险. 这种非侵入性工具与大脑衰老标志物有显著的关联,提供了一个有前途的查方法.
科学领域:
- 神经科学是一个神经科学.
- 眼科医生 眼科 眼科
- 老年学是一门学科.
背景情况:
- 从视网膜摄影中获得的关于认知衰退的衰老生物标志物的预测价值尚未得到充分理解.
- 探索用于早期检测认知障碍的新型非侵入性方法至关重要.
研究的目的:
- 调查RetiPhenoAge的实用性,一个来自深度学习的视网膜衰老生物标志物,用于预测认知衰退和痴呆症.
- 评估RetiPhenoAge与神经成像标记物和与衰老相关的血蛋白质谱的相关性.
主要方法:
- RetiPhenoAge是从新加坡记忆诊所队列 (N=510) 的视网膜照片中计算出来的,追踪了5年.
- 使用竞争性风险分析来确定与认知衰退和痴呆症的关联,英国生物库 (N=33,495) 作为复制队列.
- 评估了与大脑小血管疾病 (CSVD),神经退行以及血蛋白质组特征的关联.
主要成果:
- 在初级队列中,较高的RetiPhenoAge与发生的认知衰退 (SHR 1.34) 和痴呆症 (SHR 1.43) 有显著的关联.
- 在英国生物库的复制证实了RetiPhenoAge能够预测事件痴呆症的能力 (SHR 1.25).
- RetiPhenoAge与CSVD,大脑缩和与衰老相关的血蛋白质组形状有显著的相关性.
结论:
- RetiPhenoAge显示出作为一种非侵入性预后查工具的潜力,用于认知衰退和痴呆症.
- 这些发现支持视网膜衰老标志物与潜在的神经病理过程之间的联系.
- 建议进一步验证以确定RetiPhenoAge作为痴呆症可靠的预后生物标志物.
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