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| dc.contributor.author | Botello-Marabotto, Marina | |
| dc.contributor.author | Tarraso, Julia | |
| dc.contributor.author | Mulet, Alba | |
| dc.contributor.author | Presa-Fernández, Lucía | |
| dc.contributor.author | Fernández-Fabrellas, Estrella | |
| dc.contributor.author | Rodríguez-Portal, José-Antonio | |
| dc.contributor.author | Ros, José-A | |
| dc.contributor.author | Lozano-Vicente, Desiree | |
| dc.contributor.author | Bernardos, Andrea | |
| dc.contributor.author | Martínez-Bisbal, M-Carmen | |
| dc.contributor.author | Martínez-Mañez, Ramón | |
| dc.contributor.author | Signes-Costa, Jaime | |
| dc.date.accessioned | 2026-03-06T14:04:49Z | |
| dc.date.available | 2026-03-06T14:04:49Z | |
| dc.date.issued | 2025-03 | |
| dc.identifier.citation | Botello-Marabotto M, Tarrasó J, Mulet A, Presa-Fernández L, Fernández-Fabrellas E, Portal JAR, et al. Metabolomic Biomarkers of Pulmonary Fibrosis in COVID-19 Patients One Year After Hospital Discharge. Journal of Medical Virology. marzo de 2025;97(3):e70289. doi:10.1002/jmv.70289 | |
| dc.identifier.issn | 0146-6615 | |
| dc.identifier.uri | https://sms.carm.es/ricsmur/handle/123456789/24602 | |
| dc.description.abstract | Coronavirus disease 2019 (COVID-19) global pandemic has affected more than 600 million people up to date. The symptomatology and severity of COVID-19 are very broad, and there are still concerns about the long-term sequelae that it can have on discharged patients. The development of pulmonary fibrotic sequelae after this infection is especially worrying. Our aim was to determine if there was a metabolomic signature that could predict the development of pulmonary fibrotic sequelae. It is a multicenter prospective observation subcohort based on the COVID-FIBROTIC study. A metabolomic analysis was performed by nuclear magnetic resonance (NMR) on serum samples from patients admitted with bilateral COVID-19 pneumonia collected 2 months after hospital discharge. One year after admission, clinical, functional and radiological data were collected from these same patients. Finally, 109 patients (mean age 57.68 [DS14.03], 65.13% male) were available. Fibrotic sequelae 1 year after COVID-19 disease were found in 33% of them. Based on the NMR analysis of the serum samples, it was possible to distinguish with 80.82% of sensitivity, 72.22% of specificity and 0.83 of an area under the curve (AUC) value which patients would have radiological signs of pulmonary fibrotic pattern 1 year after sample collection. According to the metabolites participating in the discriminative model and the univariate statistics, glucose, valine, and fatty acids (?CH-CH2-CH?) were suggested as potential biomarkers of the development of pulmonary fibrotic sequelae after COVID-19. TRIAL REGISTRATION NUMBER: clinicaltrials.gov NCT04409275 (June 1, 2020). | |
| dc.language.iso | eng | |
| dc.publisher | WILEY | |
| dc.rights | Atribución/Reconocimiento-NoComercial-SinDerivados 4.0 Internacional | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | COVID-19/complications/blood | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Middle Aged | |
| dc.subject.mesh | Biomarkers/blood | |
| dc.subject.mesh | Aged | |
| dc.subject.mesh | Pulmonary Fibrosis/blood/diagnosis/metabolism/etiology/virology | |
| dc.subject.mesh | Prospective Studies | |
| dc.subject.mesh | Metabolomics/methods | |
| dc.subject.mesh | Patient Discharge | |
| dc.subject.mesh | Magnetic Resonance Spectroscopy | |
| dc.subject.mesh | Adult | |
| dc.subject.mesh | SARS-CoV-2 | |
| dc.title | Metabolomic Biomarkers of Pulmonary Fibrosis in COVID-19 Patients One Year After Hospital Discharge | |
| dc.type | info:eu-repo/semantics/article | |
| dc.identifier.pmid | 40088077 | |
| dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/10.1002/jmv.70289 | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.doi | 10.1002/jmv.70289 | |
| dc.journal.title | Journal of Medical Virology | |
| dc.identifier.essn | 1096-9071 |