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Canine visceral leishmaniasis diagnosis by UV spectroscopy of blood serum and machine learning algorithms.
Coelho, Mateus Lotério; França, Thiago; Fontoura Mateus, Nathália Lopes; da Costa Lima Junior, Manoel Sebastião; Cena, Cicero; do Nascimento Ramos, Carlos Alberto.
Afiliação
  • Coelho ML; Faculty of Veterinary Medicine and Animal Husbandry (FAMEZ), Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande 79070-900, Brazil.
  • França T; SISFOTON-UFMS, Optics and Photonics Group, Institute of Physics, Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande 79070-900, Brazil.
  • Fontoura Mateus NL; Faculty of Veterinary Medicine and Animal Husbandry (FAMEZ), Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande 79070-900, Brazil.
  • da Costa Lima Junior MS; Department of Immunology, Aggeu Magalhães Institute, FIOCRUZ, Recife, PE 50740-465, Brazil.
  • Cena C; SISFOTON-UFMS, Optics and Photonics Group, Institute of Physics, Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande 79070-900, Brazil. Electronic address: cicero.cena@ufms.br.
  • do Nascimento Ramos CA; Faculty of Veterinary Medicine and Animal Husbandry (FAMEZ), Universidade Federal de Mato Grosso do Sul - UFMS, Campo Grande 79070-900, Brazil. Electronic address: carlos.nascimento@ufms.br.
Photodiagnosis Photodyn Ther ; 42: 103575, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37080349
Visceral leishmaniasis (VL) is a zoonotic disease caused by the protozoan Leishmania infantum, and dogs are considered the main urban hosts for future disease transmission. The first and most effective control against the spread of disease relies on identifying infected animals, followed by their treatment or sacrifice, to reduce the protozoan reservoirs. Despite the availability of various diagnostic tests for VL in dogs the development of a quick and accurate diagnosis is essential from a public health and ethical point of view. Here we analyze the use of UV-Vis spectroscopy as an alternative diagnostic method for VL diagnosis by using the antigen-antibody interaction in canine blood serum and machine learning algorithms. The main UV spectra in the 220 to 280 nm range exhibit nine electronic absorption bands, but no significative difference could be identified between the positive and negative group spectra. Finally, UV pre-proceed spectra by SNV (standard normal variate) were submitted to principal component analysis followed by Linear SVM algorithm, the prediction model was tested in a leave-one-out cross-validation and external validation test reaching an overall accuracy of 75%.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fotoquimioterapia / Doenças do Cão / Leishmaniose Visceral Tipo de estudo: Diagnostic_studies / Prognostic_studies Aspecto: Ethics Limite: Animals Idioma: En Revista: Photodiagnosis Photodyn Ther Assunto da revista: DIAGNOSTICO POR IMAGEM / TERAPEUTICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fotoquimioterapia / Doenças do Cão / Leishmaniose Visceral Tipo de estudo: Diagnostic_studies / Prognostic_studies Aspecto: Ethics Limite: Animals Idioma: En Revista: Photodiagnosis Photodyn Ther Assunto da revista: DIAGNOSTICO POR IMAGEM / TERAPEUTICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda