biostudies-literatureGhini VRegione Toscanae1010443https://www.ebi.ac.uk/biostudies/studies/S-EPMC9022834biostudies-literatureUnknown18(4)Metabolomics and lipidomics have been used in several studies to define the biochemical alterations induced by COVID-19 in comparison with healthy controls. Those studies highlighted the presence of a strong signature, attributable to both metabolites and lipoproteins/lipids. Here, 1H NMR spectra were acquired on EDTA-plasma from three groups of subjects: i) hospitalized COVID-19 positive patients (≤21 days from the first positive nasopharyngeal swab); ii) hospitalized COVID-19 positive patients (>21 days from the first positive nasopharyngeal swab); iii) subjects after 2-6 months from SARS-CoV-2 eradication. A Random Forest model built using the EDTA-plasma spectra of COVID-19 patients ≤21 days and Post COVID-19 subjects, provided a high discrimination accuracy (93.6%), indicating both thPLoS pathogensProfiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients.PMC9022834project COMETA, Bando COVID-19Meoni GLuchinat CLandini GPelagatti LGhini VCelli TBertini LVeneziani FPetrucci FVannucchi VTurano PfalseProfiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients.Metabolomics and lipidomics have been used in several studies to define the biochemical alterations induced by COVID-19 in comparison with healthy controls. Those studies highlighted the presence of a strong signature, attributable to both metabolites and lipoproteins/lipids. Here, 1H NMR spectra were acquired on EDTA-plasma from three groups of subjects: i) hospitalized COVID-19 positive patients (≤21 days from the first positive nasopharyngeal swab); ii) hospitalized COVID-19 positive patients (>21 days from the first positive nasopharyngeal swab); iii) subjects after 2-6 months from SARS-CoV-2 eradication. A Random Forest model built using the EDTA-plasma spectra of COVID-19 patients ≤21 days and Post COVID-19 subjects, provided a high discrimination accuracy (93.6%), indicating both th2022-01-01T00:00:00Z2022 Apr2025-04-19T00:39:37.787Z2025-04-07T11:45:44.274ZS-EPMC90228343544692110.1371/journal.ppat.1010443