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利用表面增强拉曼光谱技术,通过尿液对冠心病进行无创、前瞻性诊断。

Noninvasive and prospective diagnosis of coronary heart disease with urine using surface-enhanced Raman spectroscopy.

机构信息

School of Energy and Power Engineering, University of Shanghai for Science and Technology, 200093 Shanghai, China.

出版信息

Analyst. 2018 May 15;143(10):2235-2242. doi: 10.1039/c7an02022h.

DOI:10.1039/c7an02022h
PMID:29577154
Abstract

A prospective diagnosis method for coronary heart disease (CHD) using human urine based on surface-enhanced Raman spectroscopy (SERS) is proposed, and could provide valuable information for judging whether to perform percutaneous coronary intervention (PCI) in clinics. Here, urine samples from 87 patients with CHD, including patients with PCI before operation (degree of cardiovascular congestion above 70%) and without PCI (degree of cardiovascular congestion under 70%), and 20 healthy humans were measured using SERS. Principal component analysis (PCA) combined with linear discriminant analysis (LDA) was employed to analyze the SERS spectra, revealing that the classification sensitivity and specificity were 90% and 78.9%, respectively, and the absolute value for loading of PC1 at 1509 cm-1 was the largest. Since platelet-derived growth factor-BB (PDGF-BB) is closely related to CHD, PDGF-BB aqueous solutions with various concentrations (1, 0.5, 0.1, 0.05 and 0.01 ppm) and a mixture of healthy human urine and PDGF-BB aqueous solutions were then investigated in this work, and it was found that the Raman peak at 1509 cm-1 may be attributed to PDGF-BB. Moreover, the measured SERS spectra of all the urine samples from the 87 patients with CHD were compared with the clinical data provided by a hospital, and it was revealed that the appearance of a peak at 1509 cm-1 in the SERS spectra was in good agreement with the results of coronary angiography tests when cardiovascular congestion was above 70%. This indicated that the classification sensitivity and specificity were 87.9% and 87.0%, respectively, through identification of the Raman peak at 1509 cm-1.

摘要

提出了一种基于表面增强拉曼光谱(SERS)的冠心病(CHD)前瞻性诊断方法,可为临床判断是否进行经皮冠状动脉介入治疗(PCI)提供有价值的信息。在此,使用 SERS 测量了 87 例 CHD 患者(包括手术前进行 PCI(心血管充血程度大于 70%)和未进行 PCI(心血管充血程度小于 70%)的患者)和 20 名健康人的尿液样本。采用主成分分析(PCA)结合线性判别分析(LDA)对 SERS 光谱进行分析,结果表明分类的灵敏度和特异性分别为 90%和 78.9%,PC1 在 1509cm-1 处的载荷绝对值最大。由于血小板衍生生长因子-BB(PDGF-BB)与 CHD 密切相关,因此研究了不同浓度(1、0.5、0.1、0.05 和 0.01ppm)的 PDGF-BB 水溶液以及健康人尿液与 PDGF-BB 水溶液的混合物。结果发现,1509cm-1 处的 Raman 峰可能归因于 PDGF-BB。此外,还将 87 例 CHD 患者的所有尿液样本的测量 SERS 光谱与医院提供的临床数据进行了比较,结果表明当心血管充血程度大于 70%时,SERS 光谱中 1509cm-1 处峰的出现与冠状动脉造影检查结果吻合良好。这表明通过识别 1509cm-1 处的 Raman 峰,分类的灵敏度和特异性分别为 87.9%和 87.0%。

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