biostudies-literatureLazari LCConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São PauloPró-Reitoria de Pesquisa da Universidade de São Paulo2043651https://www.ebi.ac.uk/biostudies/studies/S-EPMC8890567biostudies-literatureUnknown14(1)<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>We achievedJournal of oral microbiologyMALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19.PMC88905672021.1.10424.1.9Santiago VFSarmento DJSTo KMarinho CRFBraz-Silva PHAlmeida JDMartinho HGiannecchini SDurigon ELRosa-Fernandes LAngeli CBPalmieri MPalmisano GZerbinati RMLazari LCLindoso JALRosa KFSabino ECSchwab GWrenger CfalseMALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19.<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>We achieved2022-01-01T00:00:00Z20222025-04-04T19:58:12.476Z2025-04-04T19:58:12.476ZS-EPMC88905673525152210.1080/20002297.2022.2043651