Raman spectroscopy for differential diagnosis of endophthalmitis and uveitis in rabbit iris in vitro

Raman spectroscopy for differential diagnosis of endophthalmitis and uveitis in rabbit iris in vitro

Author Rossi, Eglas Emanuel Google Scholar
Silveira, Landulfo Google Scholar
Barbosa Pinheiro, Antonio Luiz Google Scholar
Zamuner, Stella Regina Google Scholar
Aimbire, Flavio Google Scholar
Maia, Mauricio Autor UNIFESP Google Scholar
Tavares Pacheco, Marcos Tadeu Google Scholar
Institution 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)
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.
Keywords Raman spectroscopy
differential diagnosis
principal components analysis
Mahalanobis distance
discriminant analysis
Language English
Sponsor Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Grant number CNPq: 305610/2008-2
CNPq: 302444/2005-0
Date 2010-09-01
Published in Experimental Eye Research. London: Academic Press Ltd- Elsevier B.V., v. 91, n. 3, p. 362-368, 2010.
ISSN 0014-4835 (Sherpa/Romeo, impact factor)
Publisher Elsevier B.V.
Extent 362-368
Origin http://dx.doi.org/10.1016/j.exer.2010.06.005
Access rights Closed access
Type Article
Web of Science ID WOS:000281500700006
URI http://repositorio.unifesp.br/handle/11600/32873

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