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An NMR-based model to investigate the metabolic phenoreversion of COVID-19 patients throughout a longitudinal study.

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Title: An NMR-based model to investigate the metabolic phenoreversion of COVID-19 patients throughout a longitudinal study.
Authors: Gil-Redondo, R
Conde, R
Bizkarguenaga, M
Bruzzone, C
Laín, A
González-Valle, B
Iriberri, M
Ramos-Acosta, C
Anguita, E
Arriaga Lariz, JI
España Yandiola, PP
Moran, MÁ
Jiménez-Mercado, ME
Egia-Mendikute, L
Seco, ML
Schäfer, H
Cannet, C
Spraul, M
Palazón, A
Embade, N
Lu, SC
Wist, J
Nicholson, JK
Mato, JM
Millet, O
Item Type: Journal Article
Abstract: After 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.
Issue Date: 1-Dec-2022
Date of Acceptance: 28-Nov-2022
URI: http://hdl.handle.net/10044/1/101230
DOI: 10.3390/metabo12121206
ISSN: 2218-1989
Publisher: MDPI
Start Page: 1
End Page: 15
Journal / Book Title: Metabolites
Volume: 12
Issue: 12
Copyright Statement: Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Publication Status: Published
Conference Place: Switzerland
Online Publication Date: 2022-12-01
Appears in Collections:Department of Metabolism, Digestion and Reproduction
Imperial College London COVID-19



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