MALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorLi KaShing Faculty of Medicine of the University of Hong Kong-
Autor(es): dc.contributorUniversity of Florence-
Autor(es): dc.contributorUniversidade Federal do ABC (UFABC)-
Autor(es): dc.contributorInstitute of Infectious Diseases Emílio Ribas-
Autor(es): dc.creatorLazari, Lucas C.-
Autor(es): dc.creatorZerbinati, Rodrigo M.-
Autor(es): dc.creatorRosa-Fernandes, Livia-
Autor(es): dc.creatorSantiago, Veronica Feijoli-
Autor(es): dc.creatorRosa, Klaise F.-
Autor(es): dc.creatorAngeli, Claudia B.-
Autor(es): dc.creatorSchwab, Gabriela-
Autor(es): dc.creatorPalmieri, Michelle-
Autor(es): dc.creatorSarmento, Dmitry J. S.-
Autor(es): dc.creatorMarinho, Claudio R. F.-
Autor(es): dc.creatorAlmeida, Janete Dias-
Autor(es): dc.creatorTo, Kelvin-
Autor(es): dc.creatorGiannecchini, Simone-
Autor(es): dc.creatorWrenger, Carsten-
Autor(es): dc.creatorSabino, Ester C.-
Autor(es): dc.creatorMartinho, Herculano-
Autor(es): dc.creatorLindoso, José A. L.-
Autor(es): dc.creatorDurigon, Edison L.-
Autor(es): dc.creatorBraz-Silva, Paulo H.-
Autor(es): dc.creatorPalmisano, Giuseppe-
Data de aceite: dc.date.accessioned2025-08-21T22:14:31Z-
Data de disponibilização: dc.date.available2025-08-21T22:14:31Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1080/20002297.2022.2043651-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234241-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234241-
Descrição: dc.descriptionBackground: The SARS-CoV-2 infections are still imposing a great public health challenge despite the recent developments in vaccines and therapy. Searching for diagnostic and prognostic methods that are fast, low-cost and accurate are essential for disease control and patient recovery. The MALDI-TOF mass spectrometry technique is rapid, low cost and accurate when compared to other MS methods, thus its use is already reported in the literature for various applications, including microorganism identification, diagnosis and prognosis of diseases. Methods: Here we developed a prognostic method for COVID-19 using the proteomic profile of saliva samples submitted to MALDI-TOF and machine learning algorithms to train models for COVID-19 severity assessment. Results: We achieved an accuracy of 88.5%, specificity of 85% and sensitivity of 91.5% for classification between mild/moderate and severe conditions. When we tested the model performance in an independent dataset, we achieved an accuracy, sensitivity and specificity of 67.18, 52.17 and 75.60% respectively. Conclusion: Saliva is already reported to have high inter-sample variation; however, our results demonstrates that this approach has the potential to be a prognostic method for COVID-19. Additionally, the technology used is already available in several clinics, facilitating the implementation of the method. Further investigation using a larger dataset is necessary to consolidate the technique.-
Descrição: dc.descriptionGlycoProteomics Laboratory Department of Parasitology ICB University of São Paulo-
Descrição: dc.descriptionLaboratory of Virology Institute of Tropical Medicine of São Paulo School of Medicine University of São Paulo-
Descrição: dc.descriptionLaboratory of Experimental Immunoparasitology Department of Parasitology ICB University of São Paulo-
Descrição: dc.descriptionDepartment of Stomatology School of Dentistry University of São Paulo-
Descrição: dc.descriptionDepartment of Biosciences and Oral Diagnosis Institute of Science and Technology São Paulo State University-
Descrição: dc.descriptionState Key Laboratory for Emerging Infectious Diseases Department of Microbiology Carol Yu Centre for Infection Li KaShing Faculty of Medicine of the University of Hong Kong-
Descrição: dc.descriptionDepartment of Experimental and Clinical Medicine University of Florence-
Descrição: dc.descriptionUnit for Drug Discovery Department of Parasitology ICB University of São Paulo-
Descrição: dc.descriptionInstitute of Tropical Medicine of São Paulo School of Medicine University of São Paulo-
Descrição: dc.descriptionCentro de Ciencias Naturais e Humanas Universidade Federal do ABC-
Descrição: dc.descriptionInstitute of Infectious Diseases Emílio Ribas-
Descrição: dc.descriptionLaboratory of Protozoology Institute of Tropical Medicine of São Paulo School of Medicine University of São Paulo-
Descrição: dc.descriptionDepartment of Infectious Diseases School of Medicine University of São Paulo-
Descrição: dc.descriptionLaboratory of Clinical and Molecular Virology Department of Microbiology ICB University of São Paulo-
Descrição: dc.descriptionDepartment of Biosciences and Oral Diagnosis Institute of Science and Technology São Paulo State University-
Idioma: dc.languageen-
Relação: dc.relationJournal of Oral Microbiology-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectbiomarkers-
Palavras-chave: dc.subjectprognosis-
Palavras-chave: dc.subjectproteomics-
Palavras-chave: dc.subjectSaliva-
Palavras-chave: dc.subjectSARS-CoV-2-
Título: dc.titleMALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.