Using infrared spectroscopy of serum and chemometrics for diagnosis of paracoccidioidomycosis

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dc.contributor.authorKoehler, Alessandra
dc.contributor.authorScroferneker, Maria Lúcia
dc.contributor.authorPereira, Beatriz Aparecida Soares [UNESP]
dc.contributor.authorPereira de Souza, Nikolas Mateus
dc.contributor.authorde Souza Cavalcante, Ricardo [UNESP]
dc.contributor.authorMendes, Rinaldo Pôncio [UNESP]
dc.contributor.authorCorbellini, Valeriano Antonio
dc.contributor.institutionUniversidade Federal do Rio Grande do Sul - UFRGS
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de Santa Cruz do Sul - UNISC
dc.date.accessioned2023-07-29T14:03:32Z
dc.date.available2023-07-29T14:03:32Z
dc.date.issued2022-11-30
dc.description.abstractParacoccidioidomycosis (PCM) is a systemic granulomatous mycosis endemic to Latin America, whose etiologic agents are fungi of the genus Paracoccidioides. PCM is usually diagnosed by microscopic observation of the fungus in biological samples, combined or not with other techniques such as serological methods. However, all currently used diagnostic methods have limitations. The objective of this study was to develop a method based on Fourier transform infrared spectroscopy (FTIR) and chemometric analysis for PCM diagnosis. We included 224 serum samples: 132 PCM sera, 24 aspergillosis sera, 10 cryptococcosis sera, 8 histoplasmosis sera, and 50 sera from healthy blood donors. Samples were analyzed by attenuated total reflection (ATR), and chemometric analyses including exploratory analysis through principal component analysis (PCA) and a classification method (PCM and non-PCM) through orthogonal partial least squares discriminant analysis (OPLS-DA). The spectra were similar, with the main bands up to approximately 1652 cm–1 and 1543 cm–1 (amide I and amide II bands). This same region was mainly responsible for the partial separation of the samples in PCA. The OPLS-DA model correctly classified all serum samples with only one latent variable, with a determination coefficient (R²) higher than 0.999 for both the calibration set and prediction set. Sensitivity and specificity were 100% for both sets, showing better performance than the reference diagnostic methods. Therefore, the use of FTIR/ATR together with OPLS-DA modeling proved to be a promising method for PCM diagnosis.en
dc.description.affiliationPostgraduate Program of Medicine: Medical Sciences Universidade Federal do Rio Grande do Sul - UFRGS
dc.description.affiliationDepartment of Microbiology Immunology and Parasitology ICBS Universidade Federal do Rio Grande do Sul - UFRGS
dc.description.affiliationTropical Diseases Area School of Medicine Universidade Estadual Paulista - UNESP
dc.description.affiliationDepartment of Life Sciences Universidade de Santa Cruz do Sul - UNISC
dc.description.affiliationDepartment of Sciences Humanities and Education Postgraduate Program in Health Promotion Postgraduate Program in Environmental Technology Universidade de Santa Cruz do Sul - UNISC
dc.description.affiliationUnespTropical Diseases Area School of Medicine Universidade Estadual Paulista - UNESP
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 442448/2019-8
dc.identifierhttp://dx.doi.org/10.1016/j.jpba.2022.115021
dc.identifier.citationJournal of Pharmaceutical and Biomedical Analysis, v. 221.
dc.identifier.doi10.1016/j.jpba.2022.115021
dc.identifier.issn1873-264X
dc.identifier.issn0731-7085
dc.identifier.scopus2-s2.0-85137756793
dc.identifier.urihttp://hdl.handle.net/11449/249140
dc.language.isoeng
dc.relation.ispartofJournal of Pharmaceutical and Biomedical Analysis
dc.sourceScopus
dc.subjectFourier transform infrared spectroscopy
dc.subjectMultivariate analysis
dc.subjectOrthogonal partial least squares discriminant analysis
dc.subjectParacoccidioidomycosis
dc.subjectPhotodiagnosis
dc.subjectSystemic mycosis
dc.titleUsing infrared spectroscopy of serum and chemometrics for diagnosis of paracoccidioidomycosisen
dc.typeArtigo
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Medicina, Botucatupt
unesp.departmentDoenças Tropicais e Diagnósticos por Imagem - FMBpt

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Botucatu - FMB - Faculdade de Medicina