Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/45971
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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP-
dc.contributor.authorLAZARI, Lucas C.-
dc.contributor.authorZERBINATI, Rodrigo M.-
dc.contributor.authorROSA-FERNANDES, Livia-
dc.contributor.authorSANTIAGO, Veronica Feijoli-
dc.contributor.authorROSA, Klaise F.-
dc.contributor.authorANGELI, Claudia B.-
dc.contributor.authorSCHWAB, Gabriela-
dc.contributor.authorPALMIERI, Michelle-
dc.contributor.authorSARMENTO, Dmity J. S.-
dc.contributor.authorMARINHO, Claudio R. F.-
dc.contributor.authorALMEIDA, Janete Dias-
dc.contributor.authorTO, Kelvin-
dc.contributor.authorGIANNECCHINI, Simone-
dc.contributor.authorWRENGER, Carsten-
dc.contributor.authorSABINO, Ester C.-
dc.contributor.authorMARTINHO, Herculano-
dc.contributor.authorLINDOSO, Jose A. L.-
dc.contributor.authorDURIGON, Edison L.-
dc.contributor.authorBRAZ-SILVA, Paulo H.-
dc.contributor.authorPALMISANO, Giuseppe-
dc.date.accessioned2022-04-19T12:59:37Z-
dc.date.available2022-04-19T12:59:37Z-
dc.date.issued2022-
dc.identifier.citationJOURNAL OF ORAL MICROBIOLOGY, v.14, n.1, article ID 2043651, 12p, 2022-
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/45971-
dc.description.abstractBackground 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.eng
dc.description.sponsorshipFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2018/18257-1, 2018/15549-1, 2020/04923-0, 2015/26722-8, 2017/03966-4, 2018/20468-0, 2021/07490-0, 2020/06409-1]-
dc.description.sponsorshipPro-Reitoria de Pesquisa da Universidade de Sao Paulo [2021.1.10424.1.9]-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) [307854/2018-3, 302917/2019-5]-
dc.description.sponsorshipCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [001]-
dc.language.isoeng-
dc.publisherTAYLOR & FRANCIS LTDeng
dc.relation.ispartofJournal of Oral Microbiology-
dc.rightsopenAccesseng
dc.subjectSalivaeng
dc.subjectSARS-CoV-2eng
dc.subjectbiomarkerseng
dc.subjectproteomicseng
dc.subjectprognosiseng
dc.subject.otherdiagnosiseng
dc.titleMALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19eng
dc.typearticleeng
dc.rights.holderCopyright TAYLOR & FRANCIS LTDeng
dc.identifier.doi10.1080/20002297.2022.2043651-
dc.identifier.pmid35251522-
dc.subject.wosMicrobiologyeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
hcfmusp.author.externalLAZARI, Lucas C.:Univ Sao Paulo, Dept Parasitol, GlycoProte Lab, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalROSA-FERNANDES, Livia:Univ Sao Paulo, Dept Parasitol, GlycoProte Lab, ICB, Sao Paulo, Brazil; Univ Sao Paulo, Dept Parasitol, Lab Expt Immunoparasitol, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalSANTIAGO, Veronica Feijoli:Univ Sao Paulo, Dept Parasitol, GlycoProte Lab, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalROSA, Klaise F.:Univ Sao Paulo, Dept Parasitol, GlycoProte Lab, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalANGELI, Claudia B.:Univ Sao Paulo, Dept Parasitol, GlycoProte Lab, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalPALMIERI, Michelle:Univ Sao Paulo, Sch Dent, Dept Stomatol, Sao Paulo, Brazil-
hcfmusp.author.externalSARMENTO, Dmity J. S.:Univ Sao Paulo, Sch Dent, Dept Stomatol, Sao Paulo, Brazil-
hcfmusp.author.externalMARINHO, Claudio R. F.:Univ Sao Paulo, Dept Parasitol, Lab Expt Immunoparasitol, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalALMEIDA, Janete Dias:Sao Paulo State Univ, Inst Sci & Technol, Dept Biosci & Oral Diag, Sao Jose Dos Campos, Brazil-
hcfmusp.author.externalTO, Kelvin:Univ Hong Kong, Carol Yu Ctr Infect, Dept Microbiol, State Key Lab Emerging Infect Dis,Li KaShing Fac, Hong Kong, Peoples R China-
hcfmusp.author.externalGIANNECCHINI, Simone:Univ Florence, Dept Expt & Clin Med, Florence, Italy-
hcfmusp.author.externalWRENGER, Carsten:Univ Sao Paulo, Dept Parasitol, Unit Drug Discovery, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalMARTINHO, Herculano:Univ Fed ABC, Ctr Ciencias Nat & Humanas, Santo Andre, SP, Brazil-
hcfmusp.author.externalDURIGON, Edison L.:Univ Sao Paulo, Dept Microbiol, Lab Clin & Mol Virol, ICB, Sao Paulo, Brazil-
hcfmusp.author.externalPALMISANO, Giuseppe:Univ Sao Paulo, Dept Parasitol, GlycoProte Lab, ICB, Sao Paulo, Brazil-
hcfmusp.description.articlenumber2043651-
hcfmusp.description.issue1-
hcfmusp.description.volume14-
hcfmusp.origemWOS-
hcfmusp.origem.idWOS:000761614100001-
hcfmusp.origem.id2-s2.0-85125922328-
hcfmusp.publisher.cityABINGDONeng
hcfmusp.publisher.countryENGLANDeng
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dc.description.indexPubMedeng
dc.identifier.eissn2000-2297-
hcfmusp.citation.scopus4-
hcfmusp.scopus.lastupdate2024-03-08-
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Artigos e Materiais de Revistas Científicas - COVID-19
COVID-19

Artigos e Materiais de Revistas Científicas - FM/MIP
Departamento de Moléstias Infecciosas e Parasitárias - FM/MIP

Artigos e Materiais de Revistas Científicas - LIM/39
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