唇腺炎性病变组织的共聚焦显微拉曼光谱特征研究

摘要

目的：研究唇腺炎性病变组织的拉曼光谱指纹特征，为拉曼光谱技术临床鉴别诊断唇腺炎性病变提供理论基础。方法：收集舍格伦综合征病变唇腺30例、唇腺急性炎症组织18例及正常唇腺组织30例，应用激光共聚焦显微拉曼光谱仪对唇腺组织进行拉曼光谱检测。应用主成分分析法（Principal component analysis，PCA）及判别函数（Discrimination function analysis，DFA）对光谱数据进行分析，研究唇腺组织光谱指纹诊断价值。结果：唇腺炎症组织与正常组织光谱间存在光谱指纹差异，这些差异代表了某些蛋白、核酸及脂类物质等生物大分子发生改变。PCA-DFA 分析发现这些差异性拉曼光谱具有鉴别诊断价值，可以区分不同唇腺组织，总体诊断准确率达91．8％，经交互验证后准确率为89．4％。结论：不同唇腺炎症组织及正常组织间拉曼光谱存在差异，不仅揭示生物大分子改变，还具有临床鉴别诊断价值。拉曼光谱技术在唇腺炎性病变组织鉴别诊断具有巨大应用潜力。%Objective:Research the Raman spectra of inflammatory labial gland tissues in order to provide a research-based theoretical foundation for applying Raman spectroscopy to diagnoses the inflammatory labial gland diseases.Meth­ods:30 samples of Sjogren’s syndrome labial glands,18 samples of acute inflammatory labial glands and 30 samples of normal labial glands were collected and scanned by confocal Raman micro-spectrometer.The methods of principal com-ponent analysis (PCA)and discrimination function analysis (DFA)were employed to analyze the spectral data and dis-criminate the different tissues.Results:Differences were discovered between in the Raman spectra of various labial gland tissues,which were assigned to biomolecules such as proteins,nucleic acids and lipids.The accuracy of discrimination carried out by PCA-DFA reached 91.8% and the accuracy of cross-validaiton was 89.4%.Conclusion:The differences existing in Raman spectra of labial glands could not only reflect the biomolecular alterations but also diagnose the labial gland diseases.Raman spectroscopy had the potential to be utilized in the clinical diagnosis.