非刺激和刺激人全唾液的拉曼光谱特征

Genecy Calado , Isha Behl , Hugh J. Byrne , Fiona M. Lyng
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引用次数: 6

摘要

人的唾液是一种独特的生物液体,可以反映个体的生理病理状态。唾液中存在的广谱分子,加上唾液成分与血清代谢物的密切联系,可以通过高灵敏度的振动光谱技术(如拉曼光谱)为临床诊断应用提供有价值的信息。然而,唾液的性质,在收集和患者相关特征方面,可以被认为是可能强烈影响唾液样本拉曼光谱特征的因素,并破坏在疾病检测中寻找特定唾液生物标志物的工作。本研究的主要目的是强调与患者内部和患者间方法中收集类型相关的光谱特征。采用刺激法和非刺激法收集20名供者的唾液,离心过滤浓缩,拉曼光谱进一步分析。液体唾液所采用的方法在组的定性分析中显示一致性,证实了该拉曼光谱方法的可重复性。使用主成分分析(PCA)和偏最小二乘判别分析(PLSDA),在患者内部和患者间分析中,非刺激唾液可以与刺激唾液区分开来,分类效率分别为77%和87%。bicinchoninic acid (BCA)测定在总蛋白浓度方面显示出类似的趋势,在受刺激的唾液样品中显示出轻微的增加。这些结果在未来发展和建立拉曼光谱作为一种新的诊断工具以及控制变异性的过程中是有价值的,以便确定与多因素疾病相关的特定光谱标记物用于诊断或随访目的。
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Raman spectroscopic characterisation of non stimulated and stimulated human whole saliva

Human saliva is a unique biofluid which can reflect the physiopathological state of an individual. The wide spectrum of molecules present in saliva, compounded by the close association of salivary composition to serum metabolites, can provide valuable information for clinical diagnostic applications through highly sensitive vibrational spectroscopic techniques such as Raman spectroscopy. However, the nature of saliva, in terms of collection and patient-related characteristics, can be considered factors which may strongly affect the Raman spectral profile of salivary samples and disrupt the search for specific salivary biomarkers in the detection of diseases. The main objective of this study was to highlight spectral features associated with the type of collection in an intra- and inter-patient approach. Saliva was collected using both stimulated and non-stimulated approaches from 20 donors, concentrated by centrifugal filtration and further analysed using Raman spectroscopy. The methodology adopted for liquid saliva showed consistency in the qualitative analysis of the groups, confirming the reproducibility of this Raman spectroscopic approach. Using principal component analysis (PCA) and partial least squares – discriminant analysis (PLSDA), non stimulated saliva could be differentiated from stimulated saliva in both intra- and inter-patient analysis, with a classification efficiency of 77 and 87 %, respectively. The bicinchoninic acid (BCA) assay showed a similar trend in terms of total protein concentration, showing a slight increase in stimulated saliva samples. These results are valuable in the process of developing and establishing Raman spectroscopy as a novel diagnostic tool in the future as well as controlling variability, in order to determine specific spectroscopic markers related to a multifactorial disease for diagnostic or follow-up purposes.

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