生物标志物 生物标志物
James E Galvin1, Michael J Kleiman1, Paul W Estes2
1University of Miami Miller School of Medicine, Boca Raton, FL, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
概括
一个新的计算机认知测试,Cognivue Clarity,结合Cognivue Amyloid风险测量 (CARM),可以有效地选阿尔茨海默病 (AD) 并识别可能具有粉样蛋白阳性的个人.
科学领域:
- 神经学 神经学
- 认知科学 认知科学
- 生物标志物发现发现
背景情况:
- 早期检测粉样蛋白阳性对于及时诊断阿尔茨海默病 (AD) 和由于AD (MCI-AD) 的轻度认知障碍至关重要.
- 目前检测粉样蛋白阳性的方法通常依赖于昂贵的生物标志物,导致诊断延迟和错过治疗或临床试验机会.
研究的目的:
- 开发和验证使用认知评估进行MCI-AD和AD的快速,具有成本效益的查范式.
- 评估Cognivue Clarity和其衍生的Cognivue粉样蛋白风险测量 (CARM) 识别粉样蛋白阳性个体的能力.
主要方法:
- 来自Bio-Hermes研究的887名参与者接受了Cognivue清晰度测试,粉样蛋白PET扫描和pTau217测量.
- 使用机器学习方法从Cognivue Clarity数据中推导出4级CARM.
- 创建了一个2x2选范式,将Cognivue Clarity全球分数和CARM结合起来.
主要成果:
- 认知清晰度值和CARM水平与粉样蛋白PET SUVR和血pTau217水平显著相关 (p < .001).
- 粉样蛋白阳性度在CARM值中增加,大多数MCI-AD和AD痴呆病例属于损伤/高风险类别.
- 真正的对照主要属于不损伤/低风险类别,而非AD病例分布在所有类别中.
结论:
- 通过10分钟的计算机化测试Cognivue Clarity,可以检测认知障碍,并通过CARM预测粉样蛋白阳性.
- 使用Cognivue Clarity和CARM的分阶段查方法,可能随后是血pTau217,为早期AD检测提供了一个具有成本效益的策略.
- 这种方法提高了早期阿尔茨海默病治疗和临床试验招生个体的识别,绕过了昂贵的PET扫描的需要.
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