Please use this identifier to cite or link to this item: https://repositorio.unifesp.br/handle/11600/32873
Title: Raman spectroscopy for differential diagnosis of endophthalmitis and uveitis in rabbit iris in vitro
Authors: Rossi, Eglas Emanuel
Silveira, Landulfo
Barbosa Pinheiro, Antonio Luiz
Zamuner, Stella Regina
Aimbire, Flavio
Maia, Mauricio [UNIFESP]
Tavares Pacheco, Marcos Tadeu
Univ Comunitaria Reg Chapeco UNOCHAPECO
Univ Camilo Castelo Branco UNICASTELO
Universidade Federal da Bahia (UFBA)
Nove Julho Univ UNINOVE
Universidade Federal de São Paulo (UNIFESP)
Keywords: Raman spectroscopy
iris
endophthalmitis
uveitis
differential diagnosis
principal components analysis
Mahalanobis distance
discriminant analysis
Issue Date: 1-Sep-2010
Publisher: Elsevier B.V.
Citation: Experimental Eye Research. London: Academic Press Ltd- Elsevier B.V., v. 91, n. 3, p. 362-368, 2010.
Abstract: We developed a diagnostic tool to differentiate between endophthalmitis and uveitis using Raman spectroscopy. Twenty-two New Zealand rabbits with endophthalmitis induced by Staphylococcus aureus (10 animals), noninfectious uveitis induced by lipopolysaccharide from Escherichia colt (10 animals) and controls (two animals) were analyzed. Twenty-four hours after the eyes were inoculated, iris tissue was dissected and subjected to dispersive Raman spectroscopy using an excitation source at 830 nm and a spectrograph/CCD camera to detect a Raman signal with an integration time of 50 s. With the collected spectra of endophthalmitis and uveitis, we developed a routine to classify spectra in each specimen using principal components analysis, using a leave-one-out cross-validation procedure. 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, proteins, and lipids. the bands at 1004, 1339, and 1555 cm(-1) differed significantly (t-test. p < 0.05) between diseases. the principal components PC3 and PC4 differed significantly (ANOVA, p < 0.05) for the two tissue types, indicating that these PCs can be used to discriminate between the two diseases using Mahalanobis distance as a discriminator. This technique is useful for differentiating the spectral bands of uveitis and endophthalmitis, and the diagnostic model showed sensitivity of 89%, specificity of 100%, and accuracy of 92% using the leave-one-out cross-validation procedure. These results may be clinically relevant for differentiating endophthalmitis from uveitis, and this approach may become a noninvasive method to optimize the diagnosis of inflammatory and infectious vitreoretinal diseases. (C) 2010 Elsevier B.V. All rights reserved.
URI: http://repositorio.unifesp.br/handle/11600/32873
ISSN: 0014-4835
Other Identifiers: http://dx.doi.org/10.1016/j.exer.2010.06.005
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