{"doi":"10.1371/journal.ppat.1010443","title":"Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients","abstract":"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 the presence of a strong fingerprint of the acute infection and the substantial metabolic healing of Post COVID-19 subjects. The differences originate from significant alterations in the concentrations of 16 metabolites and 74 lipoprotein components. The model was then used to predict the spectra of COVID-19>21 days subjects. In this group, the metabolite levels are closer to those of the Post COVID-19 subjects than to those of the COVID-19≤21 days; the opposite occurs for the lipoproteins. Within the acute phase patients, characteristic trends in metabolite levels are observed as a function of the disease severity. The metabolites found altered in COVID-19≤21 days patients with respect to Post COVID-19 individuals overlap with acute infection biomarkers identified previously in comparison with healthy subjects. Along the trajectory towards healing, the metabolome reverts back to the \"healthy\" state faster than the lipoproteome.","journal":"PLoS Pathogens","year":2022,"id":239468,"datarank":1.5858526617413247,"base_score":3.912023005428146,"endowment":3.912023005428146,"self_citation_contribution":0.586803450814222,"citation_network_contribution":0.9990492109271026,"self_endowment_contribution":0.586803450814222,"citer_contribution":0.9990492109271026,"corpus_percentile":86.91885201516206,"corpus_rank":1692,"citation_count":49,"citer_count":43,"citers_with_citation_signal":37,"citers_with_endowment":37,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5871,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":865095,"name":"Gaia Meoni","orcid":"0000-0002-8608-4641","position":1,"is_corresponding":false},{"id":865096,"name":"Lorenzo Pelagatti","orcid":"0000-0003-1849-8372","position":2,"is_corresponding":false},{"id":865097,"name":"Tommaso Celli","orcid":"0000-0002-7944-0070","position":3,"is_corresponding":false},{"id":865519,"name":"Francesca Veneziani","orcid":null,"position":4,"is_corresponding":false},{"id":865520,"name":"Fabrizia Petrucci","orcid":null,"position":5,"is_corresponding":false},{"id":865098,"name":"Vieri Vannucchi","orcid":"0000-0002-1546-2377","position":6,"is_corresponding":false},{"id":865099,"name":"Laura Bertini","orcid":"0000-0001-6335-3880","position":7,"is_corresponding":false},{"id":72950,"name":"Claudio Luchinat","orcid":"0000-0003-2271-8921","position":8,"is_corresponding":false},{"id":865521,"name":"Giancarlo Landini","orcid":null,"position":9,"is_corresponding":false},{"id":72937,"name":"Paola Turano","orcid":"0000-0002-7683-8614","position":10,"is_corresponding":false},{"id":865094,"name":"Veronica Ghini","orcid":"0000-0003-3759-6701","position":0,"is_corresponding":true}],"reference_count":44,"raw_metadata":null,"created_at":"2026-07-19T00:22:36.865157Z","pmid":"35446921","pmcid":"PMC9022834","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}