Ⅱ型糖尿病人与大鼠红细胞拉曼光谱学比较

使用激光共聚焦拉曼光谱仪测量正常大鼠红细胞、正常人红细胞、糖尿病STZ造模大鼠红细胞、糖尿病四氧嘧啶造模大鼠红细胞和人Ⅱ型糖尿病红细胞的拉曼光谱，应用主成分分析(principal component analysis，PCA)结合支持向量机(support vector machines，SVM)分类器对数据进行判别分析，然后采用类间距离判断两种造模方法与人Ⅱ型糖尿病的接近程度。结果发现糖尿病红细胞与正常红细胞的拉曼光谱存在明显差异，糖尿病在酰胺 ⅥCO变形振动谱带处峰高显著，并在酰胺ⅤN—H变形振动谱带处谱线出现偏移，属于磷脂的脂酰基C—C骨架1 130 cm-1谱线增强，1 088 cm-1谱线强度减弱，说明糖尿病红细胞膜的通透性增强。PCA结合SVM可以很好地区分以上5类红细胞的拉曼光谱，分类器测试结果表明分类准确度达100%。通过分别计算两种造模方法与人Ⅱ型糖尿病的类间距离，发现STZ造模法更接近人Ⅱ型糖尿病。由此得出结论：拉曼光谱法可以用于糖尿病诊断，大鼠糖尿病STZ造模法更接近人类Ⅱ型糖尿病。

Red Blood Cells Raman Spectroscopy Comparison of Type Two Diabetes Patients and Rats

By using confocal Raman spectroscopy, Raman spectra were measured in normal rat red blood cells, normal human red blood cells, STZ induced diabetetic rats red blood cells, Alloxan induced diabetetic rats red blood cells and human type 2 diabetes red blood cells. Then principal component analysis (PCA) with support vector machine (SVM) classifier was used for data analysis, and then the distance between classes was used to judge the degree of close to two kinds of rat model with type 2 diabetes. The results found significant differences in the Raman spectra of red blood cell in diabetic and normal red blood cells. To diabetic red blood cells, the peak in the amide ⅥCO deformation vibration band is obvious, and amide ⅤN—H deformation vibration band spectral lines appear deviation. Belong to phospholipid fatty acyl C—C skeleton, the 1 130 cm-1 spectral line is enhanced and the 1 088 cm-1 spectral line is abated, which show diabetes red cell membrane permeability increased. Raman spectra of PCA combined with SVM can well separate 5 types of red blood cells. Classifier test results show that the classification accuracy is up to 100%. Through the class distance between the two induced method and human type 2 diabetes, it is found that STZ induced model is more close to human type 2 diabetes. In conclusion, Raman spectroscopy can be used for diagnosis of diabetes and rats STZ induced diabetes method is closer to human type 2 diabetes.