Mass Spectrometry-Based Metabolomics Reveals a Salivary Signature for Low-Severity COVID-19

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dc.contributor.authorLopes de Lima I.
dc.contributor.authorAp. Rosini Silva A.
dc.contributor.authorBrites C.
dc.contributor.authorAngelo da Silva Miyaguti N.
dc.contributor.authorRaposo Passos Mansoldo F.
dc.contributor.authorVaz Nunes S.
dc.contributor.authorHenrique Godoy Sanches P.
dc.contributor.authorRegiani Cataldi T.
dc.contributor.authorPais de Carvalho C.
dc.contributor.authorReis da Silva A.
dc.contributor.authorRibeiro da Rosa J.
dc.contributor.authorMagalhaes Borges M.
dc.contributor.authorVilarindo Oliveira W.
dc.contributor.authorCanevari T.C.
dc.contributor.authorBeatriz Vermelho A.
dc.contributor.authorNogueira Eberlin M.
dc.contributor.authorM. Porcari A.
dc.date.accessioned2025-04-01T06:21:21Z
dc.date.available2025-04-01T06:21:21Z
dc.date.issued2024
dc.description.abstract© 2024 by the authors.Omics approaches were extensively applied during the coronavirus disease 2019 (COVID-19) pandemic to understand the disease, identify biomarkers with diagnostic and prognostic value, and discover new molecular targets for medications. COVID-19 continues to challenge the healthcare system as the virus mutates, becoming more transmissible or adept at evading the immune system, causing resurgent epidemic waves over the last few years. In this study, we used saliva from volunteers who were negative and positive for COVID-19 when Omicron and its variants became dominant. We applied a direct solid-phase extraction approach followed by non-target metabolomics analysis to identify potential salivary signatures of hospital-recruited volunteers to establish a model for COVID-19 screening. Our model, which aimed to differentiate COVID-19-positive individuals from controls in a hospital setting, was based on 39 compounds and achieved high sensitivity (85%/100%), specificity (82%/84%), and accuracy (84%/92%) in training and validation sets, respectively. The salivary diagnostic signatures were mainly composed of amino acids and lipids and were related to a heightened innate immune antiviral response and an attenuated inflammatory profile. The higher abundance of thyrotropin-releasing hormone in the COVID-19 positive group highlighted the endocrine imbalance in low-severity disease, as first reported here, underscoring the need for further studies in this area.
dc.description.issuenumber22
dc.description.volume25
dc.identifier.doi10.3390/ijms252211899
dc.identifier.issnNone
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/40409
dc.relation.ispartofInternational Journal of Molecular Sciences
dc.rightsAcesso Aberto
dc.subject.otherlanguageCOVID-19 screening
dc.subject.otherlanguagelow-severity
dc.subject.otherlanguagemachine learning
dc.subject.otherlanguagemass spectrometry
dc.subject.otherlanguagemetabolomics
dc.subject.otherlanguagesaliva
dc.titleMass Spectrometry-Based Metabolomics Reveals a Salivary Signature for Low-Severity COVID-19
dc.typeArtigo
local.scopus.citations0
local.scopus.eid2-s2.0-85210253071
local.scopus.subjectAdult
local.scopus.subjectAged
local.scopus.subjectBiomarkers
local.scopus.subjectCOVID-19
local.scopus.subjectFemale
local.scopus.subjectHumans
local.scopus.subjectMale
local.scopus.subjectMass Spectrometry
local.scopus.subjectMetabolomics
local.scopus.subjectMiddle Aged
local.scopus.subjectSaliva
local.scopus.subjectSARS-CoV-2
local.scopus.updated2025-04-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85210253071&origin=inward
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