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Novel COVID-19 biomarkers identified through multi-omics data analysis: N-acetyl-4-O-acetylneuraminic acid, N-acetyl-L-alanine, N-acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate

2024-08Journal article Open access
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dc.contributor.authorCobre, Alexandre de Fátima
dc.contributor.authorAlves, Alexessander Couto
dc.contributor.authorGotine, Ana Raquel
dc.contributor.authorDomingues, Karime Zeraik
dc.contributor.authorLazo, Raul Edison
dc.contributor.authorFerreira, Luana Mota
dc.contributor.authorTonin, Fernanda
dc.contributor.authorPontarolo, Roberto
dc.date.accessioned2024-04-02T10:42:54Z
dc.date.available2024-04-02T10:42:54Z
dc.date.issued2024-08
dc.description.abstractThis study aims to apply machine learning models to identify new biomarkers associated with the early diagnosis and prognosis of SARS-CoV-2 infection. Plasma and serum samples from COVID-19 patients (mild, moderate, and severe), patients with other pneumonia (but with negative COVID-19 RT-PCR), and healthy volunteers (control) from hospitals in four different countries (China, Spain, France, and Italy) were analyzed by GC-MS, LC-MS, and NMR. Machine learning models (PCA and PLS-DA) were developed to predict the diagnosis and prognosis of COVID-19 and identify biomarkers associated with these outcomes. A total of 1410 patient samples were analyzed. The PLS-DA model presented a diagnostic and prognostic accuracy of around 95% of all analyzed data. A total of 23 biomarkers (e.g., spermidine, taurine, L-aspartic, L-glutamic, L-phenylalanine and xanthine, ornithine, and ribothimidine) have been identified as being associated with the diagnosis and prognosis of COVID-19. Additionally, we also identified for the first time five new biomarkers (N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate) that are also associated with the severity and diagnosis of COVID-19. These five new biomarkers were elevated in severe COVID-19 patients compared to patients with mild disease or healthy volunteers. The PLS-DA model was able to predict the diagnosis and prognosis of COVID-19 around 95%. Additionally, our investigation pinpointed five novel potential biomarkers linked to the diagnosis and prognosis of COVID-19: N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. These biomarkers exhibited heightened levels in severe COVID-19 patients compared to those with mild COVID-19 or healthy volunteers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCobre AF, Alves AC, Gotine AR, Domingues KZ, Lazo RE, Tonin FS, et al. Novel COVID-19 biomarkers identified through multi-omics data analysis: N-acetyl-4-O-acetylneuraminic acid, N-acetyl-L-alanine, N-acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. Intern Emerg Med. 2024;19(5):1439-58.pt_PT
dc.identifier.doi10.1007/s11739-024-03547-1pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/17242
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11739-024-03547-1pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCOVID-19pt_PT
dc.subjectBiomarkerpt_PT
dc.subjectDiagnosispt_PT
dc.subjectMachine learningpt_PT
dc.subjectPrognosispt_PT
dc.titleNovel COVID-19 biomarkers identified through multi-omics data analysis: N-acetyl-4-O-acetylneuraminic acid, N-acetyl-L-alanine, N-acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristatept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1458pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage1439pt_PT
oaire.citation.titleInternal and Emergency Medicinept_PT
oaire.citation.volume19pt_PT
person.familyNameTonin
person.givenNameFernanda
person.identifier.ciencia-idD01C-C700-9411
person.identifier.orcid0000-0003-4262-8608
person.identifier.ridO-2050-2017
person.identifier.scopus-author-id56085115800
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication61ded30e-ecec-4b3e-b953-2293e080ebdd
relation.isAuthorOfPublication.latestForDiscovery61ded30e-ecec-4b3e-b953-2293e080ebdd

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