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Metabolomic Profiling of Plasma Reveals Differential Disease Severity Markers in COVID-19 Patients.

Authors :
Oliveira LB
Mwangi VI
Sartim MA
Delafiori J
Sales GM
de Oliveira AN
Busanello ENB
Val FFAE
Xavier MS
Costa FT
Baía-da-Silva DC
Sampaio VS
de Lacerda MVG
Monteiro WM
Catharino RR
de Melo GC
Source :
Frontiers in microbiology [Front Microbiol] 2022 Apr 27; Vol. 13, pp. 844283. Date of Electronic Publication: 2022 Apr 27 (Print Publication: 2022).
Publication Year :
2022

Abstract

The severity, disabilities, and lethality caused by the coronavirus 2019 (COVID-19) disease have dumbfounded the entire world on an unprecedented scale. The multifactorial aspect of the infection has generated interest in understanding the clinical history of COVID-19, particularly the classification of severity and early prediction on prognosis. Metabolomics is a powerful tool for identifying metabolite signatures when profiling parasitic, metabolic, and microbial diseases. This study undertook a metabolomic approach to identify potential metabolic signatures to discriminate severe COVID-19 from non-severe COVID-19. The secondary aim was to determine whether the clinical and laboratory data from the severe and non-severe COVID-19 patients were compatible with the metabolomic findings. Metabolomic analysis of samples revealed that 43 metabolites from 9 classes indicated COVID-19 severity: 29 metabolites for non-severe and 14 metabolites for severe disease. The metabolites from porphyrin and purine pathways were significantly elevated in the severe disease group, suggesting that they could be potential prognostic biomarkers. Elevated levels of the cholesteryl ester CE (18:3) in non-severe patients matched the significantly different blood cholesterol components (total cholesterol and HDL, both p < 0.001) that were detected. Pathway analysis identified 8 metabolomic pathways associated with the 43 discriminating metabolites. Metabolomic pathway analysis revealed that COVID-19 affected glycerophospholipid and porphyrin metabolism but significantly affected the glycerophospholipid and linoleic acid metabolism pathways ( p = 0.025 and p = 0.035, respectively). Our results indicate that these metabolomics-based markers could have prognostic and diagnostic potential when managing and understanding the evolution of COVID-19.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Oliveira, Mwangi, Sartim, Delafiori, Sales, de Oliveira, Busanello, Val, Xavier, Costa, Baía-da-Silva, Sampaio, de Lacerda, Monteiro, Catharino and de Melo.)

Details

Language :
English
ISSN :
1664-302X
Volume :
13
Database :
MEDLINE
Journal :
Frontiers in microbiology
Publication Type :
Academic Journal
Accession number :
35572676
Full Text :
https://doi.org/10.3389/fmicb.2022.844283