دورية أكاديمية
أعرض في EDS

Canine visceral leishmaniasis diagnosis by UV spectroscopy of blood serum and machine learning algorithms.

التفاصيل البيبلوغرافية
العنوان: Canine visceral leishmaniasis diagnosis by UV spectroscopy of blood serum and machine learning algorithms.
المؤلفون: 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.
المصدر: Photodiagnosis and photodynamic therapy [Photodiagnosis Photodyn Ther] 2023 Jun; Vol. 42, pp. 103575. Date of Electronic Publication: 2023 Apr 18.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101226123 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-1597 (Electronic) Linking ISSN: 15721000 NLM ISO Abbreviation: Photodiagnosis Photodyn Ther Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Amsterdam ; Boston : Elsevier, c2004-
مواضيع طبية MeSH: Leishmaniasis, Visceral*/diagnosis , Leishmaniasis, Visceral*/veterinary , Photochemotherapy*/methods , Dog Diseases*/diagnosis, Animals ; Dogs ; Serum ; Photosensitizing Agents ; Spectrum Analysis
مستخلص: 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%.
Competing Interests: Declaration of Competing Interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
فهرسة مساهمة: Keywords: Canine visceral leishmaniasis; Diagnosis; Machine learning; UV spectroscopy
المشرفين على المادة: 0 (Photosensitizing Agents)
تواريخ الأحداث: Date Created: 20230420 Date Completed: 20230703 Latest Revision: 20230703
رمز التحديث: 20231215
DOI: 10.1016/j.pdpdt.2023.103575
PMID: 37080349
قاعدة البيانات: MEDLINE
الوصف
تدمد:1873-1597
DOI:10.1016/j.pdpdt.2023.103575