{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T06:04:07Z","timestamp":1751263447639,"version":"3.38.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:00:00Z","timestamp":1740960000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100009888","name":"Regione Toscana","doi-asserted-by":"publisher","award":["Bando COVID-19","Bando COVID-19"],"award-info":[{"award-number":["Bando COVID-19","Bando COVID-19"]}],"id":[{"id":"10.13039\/501100009888","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-91965-2","type":"journal-article","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T17:46:20Z","timestamp":1741023980000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Metabolomic and lipoproteomic differences and similarities between COVID-19 and other types of pneumonia"],"prefix":"10.1038","volume":"15","author":[{"given":"Veronica","family":"Ghini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentina","family":"Pecchioli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tommaso","family":"Celli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nunzia","family":"Boccia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Bertini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesca","family":"Veneziani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vieri","family":"Vannucchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paola","family":"Turano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,3]]},"reference":[{"key":"91965_CR1","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1002\/mco2.90","volume":"2","author":"J Yang","year":"2021","unstructured":"Yang, J., Yan, Y. & Zhong, W. Application of omics technology to combat the COVID-19 pandemic. MedComm 2, 381 (2021).","journal-title":"MedComm"},{"key":"91965_CR2","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1002\/anie.201804736","volume":"58","author":"A Vignoli","year":"2019","unstructured":"Vignoli, A. et al. High-throughput metabolomics by 1D NMR. Angew. Chem.  Int. Ed. 58, 968\u2013994 (2019).","journal-title":"Angewandte Chemie - Int. Ed."},{"key":"91965_CR3","doi-asserted-by":"publisher","first-page":"e1010443","DOI":"10.1371\/journal.ppat.1010443","volume":"18","author":"V Ghini","year":"2022","unstructured":"Ghini, V. et al. Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients. PLoS Pathog.  18, e1010443 (2022).","journal-title":"PLoS Pathog"},{"key":"91965_CR4","doi-asserted-by":"publisher","first-page":"e1011787","DOI":"10.1371\/journal.ppat.1011787","volume":"19","author":"V Ghini","year":"2023","unstructured":"Ghini, V. et al. COVID-19: A complex disease with a unique metabolic signature. PLoS Pathog.  19, e1011787 (2023).","journal-title":"PLoS Pathog"},{"key":"91965_CR5","doi-asserted-by":"crossref","unstructured":"Meoni, G. et al. Metabolomic\/lipidomic profiling of COVID-19 and individual response to Tocilizumab. PLoS Pathog. 17, (2021).","DOI":"10.1371\/journal.ppat.1009243"},{"key":"91965_CR6","doi-asserted-by":"crossref","unstructured":"Ghini, V. et al. Serum NMR profiling reveals differential alterations in the lipoproteome induced by Pfizer-BioNTech vaccine in COVID-19 recovered subjects and Na\u00efve subjects. Front. Mol. Biosci. 9, (2022).","DOI":"10.3389\/fmolb.2022.839809"},{"key":"91965_CR7","doi-asserted-by":"publisher","first-page":"101645","DOI":"10.1016\/j.isci.2020.101645","volume":"23","author":"C Bruzzone","year":"2020","unstructured":"Bruzzone, C. et al. SARS-CoV-2 infection dysregulates the metabolomic and lipidomic profiles of serum. iScience 23, 101645 (2020).","journal-title":"iScience"},{"key":"91965_CR8","doi-asserted-by":"publisher","first-page":"4442","DOI":"10.1021\/acs.jproteome.0c00519","volume":"19","author":"T Kimhofer","year":"2020","unstructured":"Kimhofer, T. et al. Integrative modeling of quantitative plasma lipoprotein, metabolic, and amino acid data reveals a multiorgan pathological signature of SARS-CoV-2 infection. J. Proteome Res. 19, 4442\u20134454 (2020).","journal-title":"J. Proteome Res."},{"key":"91965_CR9","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.0c00876","author":"S Lodge","year":"2021","unstructured":"Lodge, S. et al. NMR spectroscopic windows on the systemic effects of SARS-CoV-2 infection on plasma lipoproteins and metabolites in relation to Circulating cytokines. J. Proteome Res. 20, 1382-1396 \u00a0(2021).","journal-title":"J. Proteome Res."},{"key":"91965_CR10","doi-asserted-by":"publisher","first-page":"1090","DOI":"10.3390\/biomedicines9091090","volume":"9","author":"RA Ballout","year":"2021","unstructured":"Ballout, R. A. et al. The NIH Lipo-COVID study: A pilot NMR investigation of lipoprotein subfractions and other metabolites in patients with severe COVID-19. Biomedicines 9, 1090 (2021).","journal-title":"Biomedicines"},{"key":"91965_CR11","doi-asserted-by":"publisher","first-page":"4139","DOI":"10.1021\/acs.jproteome.1c00458","volume":"20","author":"R Masuda","year":"2021","unstructured":"Masuda, R. et al. Integrative modeling of plasma metabolic and lipoprotein biomarkers of SARS-CoV-2 infection in Spanish and Australian COVID-19 patient cohorts. J. Proteome Res. 20, 4139\u20134152 (2021).","journal-title":"J. Proteome Res."},{"key":"91965_CR12","doi-asserted-by":"crossref","unstructured":"Julkunen, H., Cicho\u0144ska, A., Slagboom, P. E. & W\u00fcrtz, P. Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population. eLife 10, e63033 (2021).","DOI":"10.7554\/eLife.63033"},{"key":"91965_CR13","doi-asserted-by":"publisher","first-page":"4231","DOI":"10.3390\/app11094231","volume":"11","author":"E Baranovicova","year":"2021","unstructured":"Baranovicova, E. et al. The ability to normalise energy metabolism in advanced COVID-19 disease seems to be one of the key factors determining the disease progression\u2014A metabolomic NMR study on blood plasma. Appl. Sci. 11, 4231 (2021).","journal-title":"Appl. Sci."},{"key":"91965_CR14","doi-asserted-by":"publisher","first-page":"1111482","DOI":"10.3389\/fmolb.2023.1111482","volume":"10","author":"C Bruzzone","year":"2023","unstructured":"Bruzzone, C., Conde, R., Embade, N., Mato, J. M. & Millet, O. Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19. Front. Mol. Biosci. 10, 1111482 (2023).","journal-title":"Front. Mol. Biosci."},{"key":"91965_CR15","doi-asserted-by":"publisher","first-page":"11614","DOI":"10.3390\/ijms241411614","volume":"24","author":"S Lodge","year":"2023","unstructured":"Lodge, S. et al. Integrative plasma metabolic and lipidomic modelling of SARS-CoV-2 infection in relation to clinical severity and early mortality prediction. Int. J. Mol. Sci. 24, 11614 (2023).","journal-title":"Int. J. Mol. Sci."},{"key":"91965_CR16","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.3390\/metabo12121206","volume":"12","author":"R Gil-Redondo","year":"2022","unstructured":"Gil-Redondo, R. et al. An NMR-based model to investigate the metabolic phenoreversion of COVID-19 patients throughout a longitudinal study. Metabolites 12, 1206 (2022).","journal-title":"Metabolites"},{"key":"91965_CR17","doi-asserted-by":"publisher","first-page":"737039","DOI":"10.3389\/fmolb.2021.737039","volume":"8","author":"F Schmelter","year":"2021","unstructured":"Schmelter, F. et al. Metabolic and lipidomic markers differentiate COVID-19 from non-hospitalized and other intensive care patients. Front. Mol. Biosci. 8, 737039 (2021).","journal-title":"Front. Mol. Biosci."},{"key":"91965_CR18","doi-asserted-by":"publisher","first-page":"23713","DOI":"10.1038\/s41598-024-74641-9","volume":"14","author":"AI Trist\u00e1n","year":"2024","unstructured":"Trist\u00e1n, A. I. et al. Metabolomic profiling of COVID-19 using serum and urine samples in intensive care and medical ward cohorts. Sci. Rep. 14, 23713 (2024).","journal-title":"Sci. Rep."},{"key":"91965_CR19","doi-asserted-by":"publisher","first-page":"100622","DOI":"10.1016\/j.jlr.2024.100622","volume":"65","author":"M Saballs","year":"2024","unstructured":"Saballs, M. et al. Lipidomic and metabolomic changes in community-acquired and COVID-19 pneumonia. J. Lipid Res. 65, 100622 (2024).","journal-title":"J. Lipid Res."},{"key":"91965_CR20","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1186\/s13054-021-03810-3","volume":"25","author":"JA Lorente","year":"2021","unstructured":"Lorente, J. A. et al. Metabolomic diferences between COVID-19 and H1N1 influenza induced ARDS. Crit. Care  25, 390 (2021).","journal-title":"Crit. Care"},{"key":"91965_CR21","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s15010-021-01689-4","volume":"50","author":"VA Zinserling","year":"2022","unstructured":"Zinserling, V. A., Swistunov, V. V., Botvinkin, A. D., Stepanenko, L. A. & Makarova, A. E. Lobar (croupous) pneumonia: old and new data. Infection 50, 235\u2013242 (2022).","journal-title":"Infection"},{"key":"91965_CR22","unstructured":"Polmonite acquisita in comunit\u00e0 - Malattie polmonari. Manuali MSD Edizione Professionisti https:\/\/www.msdmanuals.com\/it\/professionale\/malattie-polmonari\/polmonite\/polmonite-acquisita-in-comunit\u00e0"},{"key":"91965_CR23","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.jrid.2016.11.001","volume":"4","author":"SK Bajaj","year":"2017","unstructured":"Bajaj, S. K. & Tombach, B. Respiratory infections in immunocompromised patients: lung findings using chest computed tomography. Radiol. Infect. Dis. 4, 29\u201337 (2017).","journal-title":"Radiol. Infect. Dis."},{"key":"91965_CR24","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.nbt.2022.01.006","volume":"68","author":"V Ghini","year":"2022","unstructured":"Ghini, V. et al. Impact of the pre-examination phase on multicenter metabolomic studies. New Biotechnol. 68, 37\u201347 (2022).","journal-title":"New Biotechnol."},{"key":"91965_CR25","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.pnmrs.2023.10.002","volume":"138\u2013139","author":"V Ghini","year":"2023","unstructured":"Ghini, V. et al. Fingerprinting and profiling in metabolomics of biosamples. Progress Nucl. Magn. Reson. Spectrosc. 138\u2013139, 105\u2013135 (2023).","journal-title":"Progress Nucl. Magn. Reson. Spectrosc."},{"key":"91965_CR26","doi-asserted-by":"publisher","first-page":"D463","DOI":"10.1093\/nar\/gkv1042","volume":"44","author":"M Sud","year":"2016","unstructured":"Sud, M. et al. Metabolomics workbench: an international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools. Nucleic Acids Res. 44, D463\u2013470 (2016).","journal-title":"Nucleic Acids Res."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-91965-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-91965-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-91965-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T17:46:23Z","timestamp":1741023983000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-91965-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,3]]},"references-count":26,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["91965"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-91965-2","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,3]]},"assertion":[{"value":"24 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"7507"}}