Please use this identifier to cite or link to this item:http://hdl.handle.net/20.500.12105/15186
Title
Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation
Author(s)
Ceballos, Francisco C ISCIII | Virseda-Berdices, Ana ISCIII | Resino, Salvador ISCIII | Ryan, Pablo | Martínez-González, Oscar | Peréz-García, Felipe | Martin-Vicente, Maria ISCIII | Brochado-Kith, Oscar ISCIII | Blancas, Rafael | Bartolomé-Sánchez, Sofía ISCIII | Vidal-Alcántara, Erick Joan ISCIII | Albóniga-Díez, Oihane Elena | Cuadros-González, Juan | Blanca-López, Natalia | Martinez, Isidoro ISCIII | Ramirez Martinez-Acitores, Ignacio | Barbas, Coral | Fernandez-Rodriguez, Amanda ISCIII | Jimenez-Sousa, Maria Angeles ISCIII
Date issued
2022-06-30
Citation
Front Immunol. 2022 Jun 30;13:925558.
Language
Inglés
Document type
journal article
Abstract
Background: metabolic changes through SARS-CoV-2 infection has been reported but not fully comprehended. This metabolic dysregulation affects multiple organs during COVID-19 and its early detection can be used as a prognosis marker of severity. Therefore, we aimed to characterize metabolic and cytokine profile at COVID-19 onset and its relationship with disease severity to identify metabolic profiles predicting disease progression. Material and methods: we performed a retrospective cross-sectional study in 123 COVID-19 patients which were stratified as asymptomatic/mild, moderate and severe according to the highest COVID-19 severity status, and a group of healthy controls. We performed an untargeted plasma metabolic profiling (gas chromatography and capillary electrophoresis-mass spectrometry (GC and CE-MS)) and cytokine evaluation. Results: After data filtering and identification we observed 105 metabolites dysregulated (66 GC-MS and 40 CE-MS) which shown different expression patterns for each COVID-19 severity status. These metabolites belonged to different metabolic pathways including amino acid, energy, and nitrogen metabolism among others. Severity-specific metabolic dysregulation was observed, as an increased transformation of L-tryptophan into L-kynurenine. Thus, metabolic profiling at hospital admission differentiate between severe and moderate patients in the later phase of worse evolution. Several plasma pro-inflammatory biomarkers showed significant correlation with deregulated metabolites, specially with L-kynurenine and L-tryptophan. Finally, we describe a strong sex-related dysregulation of metabolites, cytokines and chemokines between severe and moderate patients. In conclusion, metabolic profiling of COVID-19 patients at disease onset is a powerful tool to unravel the SARS-CoV-2 molecular pathogenesis. Conclusions: This technique makes it possible to identify metabolic phenoconversion that predicts disease progression and explains the pronounced pathogenesis differences between sexes.
Subject
MESH
COVID-19 | Cross-Sectional Studies | Cytokines | Disease Progression | Female | Humans | Kynurenine | Male | Retrospective Studies | SARS-CoV-2 | Severity of Illness Index | Tryptophan
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DOI
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