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呼出的呼吸是可行的轻度认知障碍检测:一个诊断研究,便携式微气色谱

Wanlin Lai¹, Debo Li¹, Junqi Wang^2,3

¹Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, P. R. China.

Journal of Alzheimer's disease : JAD

|February 17, 2025

概括

通过便携式设备检测到的呼出的气息挥发性有机化合物 (VOC) 对社区中轻度认知障碍 (MCI) 的查有希望. 这种方法比血液生物标志物表现更好,有助于早期发现阿尔茨海默病风险.

科学领域:

神经科学是一个神经科学.
生物标志物发现发现
医学诊断医学诊断医学诊断

背景情况:

轻度认知障碍 (MCI) 是阿尔茨海默病 (AD) 的前体,影响全球数百万人.
目前的MCI查工具缺乏社区适用性.
呼出的挥发性有机化合物 (VOC) 显示出MCI检测的潜力,但需要与血液生物标志物进行比较.

研究的目的:

评估在社区环境中使用便携式微气色谱 (μGC) 检测呼气中的VOC用于MCI查的可行性.
将呼吸中的VOC与血生物标志物的诊断疗效进行比较,以区分MCI和认知正常 (CN) 个体.

主要方法:

开发并优化了一个检测模型,使用五种基于240名MCI和241名CN参与者的差异性VOC的机器学习算法.
在397名参与者 (166名MCI,231名CN) 中测量了5个血生物标志物.
在共481个个体中验证了VOC检测模型.

主要成果:

使用八种差异性VOC的优化VOC模型实现了0.84的AUC (95%CI:0.83-0.85).
与血生物标志物模型 (AUC: 0.77) 相比,呼吸中的VOC模型显示出更高的性能 (AUC: 0.80).
便携式μGC装置在区分MCI和CN个体方面被证明是有效的.

结论:

便携式μGC检测呼气中的VOC是一种可行的方法,用于社区人口中MCI查.
这种方法提供了一个潜在的非侵入性工具,用于早期检测和干预患有AD风险的个体.
呼吸VOC分析为MCI的传统生物标志物查提供了一个有希望的替代方案或补充.

关键词:

阿尔茨海默病的疾病阿尔茨海默病的疾病.诊断诊断诊断诊断诊断诊断气相色谱是一种气相色谱.机器学习是机器学习.轻度的认知障碍轻度的认知障碍挥发性有机化合物挥发性有机化合物

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