Raman spectroscopy of blood serum for Alzheimer's disease diagnostics: specificity relative to other types of dementia.
Raman spectroscopy of blood serum for Alzheimer's disease diagnostics: specificity relative to other types of dementia.
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DOI：
10.1002/jbio.201400060
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发表时间：
2015-07
影响因子：
2.8
通讯作者：
Lednev IK
中科院分区：
文献类型：
--
作者：
Ryzhikova E;Kazakov O;Halamkova L;Celmins D;Malone P;Molho E;Zimmerman EA;Lednev IK
有效和准确诊断痴呆症的关键时刻发生在早期阶段。这对于阿尔茨海默病（AD）尤其如此。在这项概念验证研究中，我们应用血清的近红外（NIR）拉曼显微光谱和先进的多元统计学来选择性地鉴定AD。我们分析了20例AD患者、18例其他神经退行性痴呆（OD）患者和10例健康对照（HC）受试者的数据。近红外拉曼显微光谱鉴别患者的灵敏度和特异性超过95%。我们展示了人工神经网络（ANN）分类模型的高分辨力，从而揭示了这种开发的方法用于AD鉴别诊断的高潜力。拉曼光谱、基于血液的测试可以帮助临床评估AD的有效和准确的鉴别诊断，减少诊断的劳动力、时间和成本，并且可用于筛查患者群体的AD发展和进展。
The key moment for efficiently and accurately diagnosing dementia occurs during the early stages. This is particularly true for Alzheimer's disease (AD). In this proof-of-concept study, we applied near infrared (NIR) Raman microspectroscopy of blood serum together with advanced multivariate statistics for the selective identification of AD. We analyzed data from 20 AD patients, 18 patients with other neurodegenerative dementias (OD) and 10 healthy control (HC) subjects. NIR Raman microspectroscopy differentiated patients with more than 95% sensitivity and specificity. We demonstrated the high discriminative power of artificial neural network (ANN) classification models, thus revealing the high potential of this developed methodology for the differential diagnosis of AD. Raman spectroscopic, blood-based tests may aid clinical assessments for the effective and accurate differential diagnosis of AD, decrease the labor, time and cost of diagnosis, and be useful for screening patient populations for AD development and progression.