Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand.
Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand.
J Fluoresc. 2021 May;31(3):747-754. doi: 10.1007/s10895-021-02707-2. Epub 2021 Feb 27.
Oral cancer disease is among the most common cancers in the world and are associated with mortality and morbidity. The characterization of saliva samples may help to distinguish patients with oral cancer disease from normal subjects. To characterize spectra of saliva samples from normal subjects and oral cancer patients by use of fluorescence, absorption, and H-NMR spectroscopy. Whole unstimulated saliva samples were collected from patients with oral cancer disease and normal subjects. The saliva samples were analyzed by absorption, fluorescence and H-NMR spectroscopic techniques. The characteristic spectra of saliva samples from patients with oral cancer disease and normal subjects were compared. For fluorescence spectroscopic studies, six fluorophores were found in saliva samples. Autofluorescence emission spectra and synchronous spectra of saliva were different between normal subjects and oral cancer patients. For absorption spectroscopic studies, the typical absorption spectra of saliva samples from normal subjects and oral cancer patients were also different in absorption intensity, 1st and 2nd derivative of absorption spectra values. For H-NMR studies, nine metabolites and four metabolites were found in saliva samples taken from normal subjects and oral cancer patients, respectively. The metabolic profiles of saliva samples from normal subjects and oral cancer patients were not similar. The characteristic spectra of saliva samples from normal subjects and oral cancer patients were found. These results showed differences in the spectra of saliva samples between both that groups. The spectra from each spectroscopic techniques could determine a candidate saliva biomarkers for distinguishing patients with oral cancer disease from normal subjects.
口腔癌是世界上最常见的癌症之一,与死亡率和发病率有关。唾液样本的特征分析可能有助于区分口腔癌患者和正常个体。本研究旨在通过荧光、吸收和 H-NMR 光谱学来描述正常个体和口腔癌患者的唾液样本光谱。收集口腔癌患者和正常个体的全唾液样本。通过吸收、荧光和 H-NMR 光谱技术对唾液样本进行分析。比较口腔癌患者和正常个体的唾液样本的特征光谱。荧光光谱研究发现,唾液样本中有六种荧光物质。正常个体和口腔癌患者的唾液自发荧光发射光谱和同步荧光光谱不同。吸收光谱研究发现,正常个体和口腔癌患者的唾液样本的典型吸收光谱在吸收强度、吸收光谱值的一阶和二阶导数方面也存在差异。H-NMR 研究发现,正常个体和口腔癌患者的唾液样本中分别存在 9 种代谢物和 4 种代谢物。正常个体和口腔癌患者的唾液样本代谢谱并不相似。发现了正常个体和口腔癌患者唾液样本的特征光谱。这些结果表明两组之间的唾液样本光谱存在差异。每种光谱技术的光谱都可以确定候选的唾液生物标志物,用于区分口腔癌患者和正常个体。