基于表面增强拉曼光谱的肾结石患者体液代谢谱特点及应用价值

Characteristics and application of body fluid metabolic profile in patients with kidney stones based on surface-enhanced Raman spectroscopy

目的分析基于表面增强拉曼光谱(SERS)的肾结石患者体液代谢谱特点,探讨其应用价值,为肾结石患者的筛查工作提供参考。方法纳入福建省立医院泌尿外科确诊的25例肾结石患者(结石组)和25例健康体检者(对照组),采集其血液、尿液样本,利用SERS测量样本光谱,再进行平均谱和差异谱绘制。采用主成分分析结合线性判别分析(PCA-LDA)对归一化数据进行处理。最后采用受试者工作特征(ROC)曲线评估PCA-LDA方法的效能。结果结石组患者的体液(血液、尿液)拉曼光谱与对照组之间存在差异。根据既往报道的拉曼峰暂定分配,推测血浆和尿液中各有11种代谢物与肾结石有关,其中结石组尿液中的磷脂酰肌醇、苯丙氨酸、棕榈酸/脂肪酸等含量高于对照组,而尿嘧啶、糖原等成分的含量低于对照组。结石组患者血浆中的甲基带含量高于对照组,而糖原、磷脂酰肌醇、蛋白质-酪氨酸、苯丙氨酸、棕榈酸/脂肪酸、羟脯氨酸/酪氨酸和脂类的含量低于对照组。结论采用SERS检测可发现肾结石患者的尿液和血液代谢成分与健康体检者存在差异,结合PCA-LDA与ROC分析法可能有助于肾结石患者的筛查。

Objective To investigate the characteristics of body fluid metabolic profile in patients with kidney stones based on surface-enhanced Raman spectroscopy,and to explore its application value and provide a reference for the screening of patients with kidney stones.Methods A total of 25 patients with kidney stones and 25 healthy controls were involved.Urine and blood samples were collected,whose spectra were measured with surface-enhanced Raman spectroscopy.The mean and difference spectra were plotted with origin software.The normalized data were processed with principal component analysis combined with linear discriminant analysis(PCA-LDA).Finally,the performance of the PCA-LDA method was evaluated with the receiver operating characteristic(ROC)curve.Results The levels of phosphatidylinositol,phenylalanine,palmitic acid/fatty acids,etc.in the urine of patients with kidney stones are higher than those in healthy controls,while the levels of components such as uracil and glycogen are lower.The content of methyl bands in the plasma of patients with kidney stones is higher than that of healthy controls,while the contents of glycogen,phosphatidylinositol,protein-tyrosine,phenylalanine,palmitic acid/fatty acid,hydroxyproline/tyrosine,and lipids are lower than those of healthy controls.Conclusion Surface-enhanced Raman spectroscopy can identify the changes in various metabolites in patients with kidney stones,and the combination of PCA-LDA and ROC analysis is helpful for the screening of patients.