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Untargeted analysis in post-COVID-19 patients reveals dysregulated lipid pathways two years after recovery

Authors :
Yamilé López-Hernández
Juan José Oropeza-Valdez
David Alejandro García Lopez
Juan Carlos Borrego
Michel Murgu
Jorge Valdez
Jesús Adrián López
Joel Monárrez-Espino
Source :
Frontiers in Molecular Biosciences, Vol 10 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

Introduction: Similar to what it has been reported with preceding viral epidemics (such as MERS, SARS, or influenza), SARS-CoV-2 infection is also affecting the human immunometabolism with long-term consequences. Even with underreporting, an accumulated of almost 650 million people have been infected and 620 million recovered since the start of the pandemic; therefore, the impact of these long-term consequences in the world population could be significant. Recently, the World Health Organization recognized the post-COVID syndrome as a new entity, and guidelines are being established to manage and treat this new condition. However, there is still uncertainty about the molecular mechanisms behind the large number of symptoms reported worldwide.Aims and Methods: In this study we aimed to evaluate the clinical and lipidomic profiles (using non-targeted lipidomics) of recovered patients who had a mild and severe COVID-19 infection (acute phase, first epidemic wave); the assessment was made two years after the initial infection.Results: Fatigue (59%) and musculoskeletal (50%) symptoms as the most relevant and persistent. Functional analyses revealed that sterols, bile acids, isoprenoids, and fatty esters were the predicted metabolic pathways affected in both COVID-19 and post-COVID-19 patients. Principal Component Analysis showed differences between study groups. Several species of phosphatidylcholines and sphingomyelins were identified and expressed in higher levels in post-COVID-19 patients compared to controls. The paired analysis (comparing patients with an active infection and 2 years after recovery) show 170 dysregulated features. The relationship of such metabolic dysregulations with the clinical symptoms, point to the importance of developing diagnostic and therapeuthic markers based on cell signaling pathways.

Details

Language :
English
ISSN :
2296889X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Frontiers in Molecular Biosciences
Publication Type :
Academic Journal
Accession number :
edsdoj.6e6c2f6db3024205bbdecfe46b417c0c
Document Type :
article
Full Text :
https://doi.org/10.3389/fmolb.2023.1100486