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An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study

dc.contributor.authorGil Redondo, Rubén
dc.contributor.authorRamos Acosta, Carlos
dc.contributor.authorAnguita Mandly, Eduardo Luis
dc.contributor.authorMillet, Oscar
dc.date.accessioned2024-07-02T07:44:46Z
dc.date.available2024-07-02T07:44:46Z
dc.date.issued2022-12-01
dc.description.abstractAfter SARS-CoV-2 infection, the molecular phenoreversion of the immunological response and its associated metabolic dysregulation are required for a full recovery of the patient. This process is patient-dependent due to the manifold possibilities induced by virus severity, its phylogenic evolution and the vaccination status of the population. We have here investigated the natural history of COVID-19 disease at the molecular level, characterizing the metabolic and immunological phenoreversion over time in large cohorts of hospitalized severe patients (n = 886) and non-hospitalized recovered patients that self-reported having passed the disease (n = 513). Non-hospitalized recovered patients do not show any metabolic fingerprint associated with the disease or immune alterations. Acute patients are characterized by the metabolic and lipidomic dysregulation that accompanies the exacerbated immunological response, resulting in a slow recovery time with a maximum probability of around 62 days. As a manifestation of the heterogeneity in the metabolic phenoreversion, age and severity become factors that modulate their normalization time which, in turn, correlates with changes in the atherogenesis-associated chemokine MCP-1. Our results are consistent with a model where the slow metabolic normalization in acute patients results in enhanced atherosclerotic risk, in line with the recent observation of an elevated number of cardiovascular episodes found in post-COVID-19 cohorts.
dc.description.departmentDepto. de Medicina
dc.description.facultyFac. de Medicina
dc.description.fundingtypeAPC financiada por la UCM
dc.description.refereedTRUE
dc.description.sponsorshipGobierno Vasco
dc.description.sponsorshipBIOEF EITB Maratoia
dc.description.sponsorshipEuropean Research Council
dc.description.sponsorshipThe Spinnaker Health Research Foundation
dc.description.sponsorshipThe McCusker Foundation
dc.description.sponsorshipThe Western Australian State Government
dc.description.statuspub
dc.identifier.citationGil-Redondo, Rubén, Ricardo Conde, Maider Bizkarguenaga, Chiara Bruzzone, Ana Laín, Beatriz González-Valle, Milagros Iriberri, Carlos Ramos-Acosta, Eduardo Anguita, Juan Ignacio Arriaga Lariz, and et al. 2022. "An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study" Metabolites 12, no. 12: 1206. https://doi.org/10.3390/metabo12121206
dc.identifier.doi10.3390/metabo12121206
dc.identifier.issn2218-1989
dc.identifier.officialurlhttps://doi.org/10.3390/metabo12121206
dc.identifier.urihttps://hdl.handle.net/20.500.14352/105420
dc.issue.number12
dc.journal.titleMetabolites
dc.language.isoeng
dc.page.initial1206
dc.publisherMDPI
dc.relation.projectIDBIO21/COV/037
dc.relation.projectIDERC-2018-StG 804236-NEXTGEN-IO
dc.relation.projectIDISCiii DTS21/00094
dc.relation.projectIDRYC2018-024183-I
dc.relation.projectIDPID2019-107956RA-I00
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu616.15
dc.subject.keywordCOVID-19
dc.subject.keywordmetabolomics
dc.subject.keywordatherosclerotic risk
dc.subject.keywordlipidomics
dc.subject.keywordinflammation
dc.subject.keywordlong COVID
dc.subject.ucmHematología
dc.subject.unesco3205.04 Hematología
dc.titleAn NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number2
dspace.entity.typePublication
relation.isAuthorOfPublicationaa41c8cb-98ce-401a-99fb-32d3a2f96f00
relation.isAuthorOfPublication.latestForDiscoveryaa41c8cb-98ce-401a-99fb-32d3a2f96f00

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