Frontiers in Immunology (Jun 2022)

Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation

  • Francisco C. Ceballos,
  • Ana Virseda-Berdices,
  • Salvador Resino,
  • Salvador Resino,
  • Pablo Ryan,
  • Pablo Ryan,
  • Oscar Martínez-González,
  • Oscar Martínez-González,
  • Felipe Peréz-García,
  • Felipe Peréz-García,
  • María Martin-Vicente,
  • María Martin-Vicente,
  • Oscar Brochado-Kith,
  • Oscar Brochado-Kith,
  • Rafael Blancas,
  • Rafael Blancas,
  • Sofía Bartolome-Sánchez,
  • Erick Joan Vidal-Alcántara,
  • Oihane Elena Albóniga-Díez,
  • Juan Cuadros-González,
  • Juan Cuadros-González,
  • Natalia Blanca-López,
  • Isidoro Martínez,
  • Isidoro Martínez,
  • Ignacio Ramirez Martinez-Acitores,
  • Coral Barbas,
  • Amanda Fernández-Rodríguez,
  • Amanda Fernández-Rodríguez,
  • María Ángeles Jiménez-Sousa,
  • María Ángeles Jiménez-Sousa

DOI
https://doi.org/10.3389/fimmu.2022.925558
Journal volume & issue
Vol. 13

Abstract

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Backgroundmetabolic 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 Methodswe 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.ResultsAfter 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.ConclusionsThis technique makes it possible to identify metabolic phenoconversion that predicts disease progression and explains the pronounced pathogenesis differences between sexes.

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