@misc{10481/97006,
year = {2024},
month = {10},
url = {https://hdl.handle.net/10481/97006},
abstract = {The COVID-19 pandemic remains a significant global health threat, with uncertainties persisting
regarding the factors determining whether individuals experience mild symptoms, severe conditions,
or succumb to the disease. This study presents an NMR metabolomics-based approach, analysing
80 serum and urine samples from COVID-19 patients (34 intensive care patients and 46 hospitalized
patients) and 32 from healthy controls. Our research identifies discriminant metabolites and clinical
variables relevant to COVID-19 diagnosis and severity. These discriminant metabolites play a role in
specific pathways, mainly “Phenylalanine, tyrosine and tryptophan biosynthesis”, “Phenylalanine
metabolism”, “Glycerolipid metabolism” and “Arginine and proline metabolism”. We propose a
three-metabolite diagnostic panel—comprising isoleucine, TMAO, and glucose—that effectively
discriminates COVID-19 patients from healthy individuals, achieving high efficiency. Furthermore,
we found an optimal biomarker panel capable of efficiently classify disease severity considering both
clinical characteristics (obesity/overweight, dyslipidemia, and lymphocyte count) together with
metabolites content (ethanol, TMAO, tyrosine and betaine).},
organization = {Junta de Andalucía (CV20-78799)},
organization = {State Research Agency of the Spanish Ministry of Science and Innovation (PID2021-126445OB-I00)},
organization = {Gobierno de España MCIN/AEI/https://doi.org/10.13039/501100011033},
organization = {Unión Europea “Next Generation EU”/PRTR (PDC2021-121248-I00, PLEC2021-007774 and CPP2022-009967)},
organization = {Junta de Andalucía predoctoral grant (PREDOC_01024)},
organization = {María Zambrano program funded by the Ministry of Universities with EU Next Generation funds},
publisher = {Springer Nature},
keywords = {COVID-19},
keywords = {Metabolomics},
keywords = {NMR},
title = {Metabolomic profiling of COVID-19 using serum and urine samples in intensive care and medical ward cohorts},
doi = {10.1038/s41598-024-74641-9},
author = {Tristán, Ana Isabel and Jiménez Luna, Cristina and Abreu, Ana Cristina and Arrabal-Campos, Francisco Manuel and Salmerón, Ana del Mar and Rodríguez, Firma Isabel and Rodriguez-Maresca, Manuel Angel and Bernardino García, Antonio and Melguizo Alonso, Consolación and Prados Salazar, José Carlos and Fernández, Ignacio},
}