Health Sciences Center - CCS, Universidade Comunitária Regional de Chapecó - UNOCHAPECÓ, Chapecó, SC 89809-000, Brazil.
J Photochem Photobiol B. 2012 Feb 6;107:73-8. doi: 10.1016/j.jphotobiol.2011.12.001. Epub 2011 Dec 13.
Raman spectroscopy has been used for the diagnosis of various eye diseases. A diagnostic tool based on Raman spectroscopy has been developed to discriminate endophthalmitis from uveitis in vitreous tissues of rabbits' eyes in vitro. Twenty-two New Zealand rabbits suffering from endophthalmitis induced by Staphylococcus aureus (n=10), non-infectious uveitis induced by lipopolysaccharide from Escherichia coli (LPS) (n=10 animals) and control (n=2) were included in the study. After eye inoculation, vitreous tissues were dissected and a fragment was submitted to dispersive Raman spectroscopy using near-infrared laser excitation (830 nm, 100 mW) and spectrograph/CCD camera for detection of Raman signal with integration time of 50 s. A routine was developed to classify the spectra of endophthalmitis and uveitis using principal components analysis (PCA) and Mahalanobis distance. The mean Raman spectra of tissues with uveitis and endophthalmitis showed several bands in the region of 800-1800 cm(-1), which have been attributed to nucleic acids, amino acids and proteins from inflamed tissue and proliferating bacteria. The bands at 1004, 1258, 1339, 1451 and 1635 cm(-1) showed statistically significant differences between both diseases. It was observed that principal components PC1, PC3 and PC4 showed statistically significant differences for the two tissue types, indicating that these PCs can be used to discriminate between the two groups. The diagnostic model showed 94% sensitivity, 95% specificity and 95% accuracy using PC3×PC4. The Raman spectroscopy technique has been shown to be useful in differentiating uveitis and endophthalmitis in vitreous tissues in vitro, and these results may be clinically relevant for differentiating vitreous tissues to optimise the diagnosis of inflammatory and infectious vitreoretinal diseases.
拉曼光谱已被用于各种眼部疾病的诊断。已经开发出一种基于拉曼光谱的诊断工具，用于在体外区分兔眼玻璃体组织中的眼内炎和葡萄膜炎。本研究纳入了 22 只新西兰兔，其中 10 只为金黄色葡萄球菌引起的眼内炎，10 只为大肠杆菌脂多糖（LPS）引起的非感染性葡萄膜炎，2 只为对照组。眼部接种后，分离玻璃体组织，用近红外激光激发（830nm，100mW）和光谱仪/CCD 相机对组织进行分散拉曼光谱检测，检测拉曼信号的积分时间为 50s。使用主成分分析（PCA）和马氏距离开发了一种分类程序，以区分眼内炎和葡萄膜炎的光谱。葡萄膜炎和眼内炎组织的平均拉曼光谱在 800-1800cm-1 区域显示出几个谱带，这些谱带归因于炎症组织和增殖细菌中的核酸、氨基酸和蛋白质。1004、1258、1339、1451 和 1635cm-1 处的谱带在两种疾病之间存在统计学显著差异。观察到 PC1、PC3 和 PC4 这三个主成分在两种组织类型之间存在统计学显著差异，表明这些主成分可用于区分这两组。使用 PC3×PC4，诊断模型的敏感性为 94%，特异性为 95%，准确性为 95%。拉曼光谱技术已被证明可用于体外区分玻璃体组织中的葡萄膜炎和眼内炎，这些结果可能对区分玻璃体组织以优化炎症和感染性玻璃视网膜疾病的诊断具有临床意义。
