Metabolomic profiling of COVID-19 using serum and urine samples in intensive care and medical ward cohorts.

Autor: Tristán AI; Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120, Almería, Spain., Jiménez-Luna C; Biosanitary Research Institute of Granada (ibs.GRANADA), 18014, Granada, Spain.; Institute of Biopathology and Regenerative Medicine (IBIMER), Biomedical Research Center (CIBM), 18100, Granada, Spain.; Department of Anatomy and Embryology, University of Granada, 18071, Granada, Spain., Abreu AC; Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120, Almería, Spain., Arrabal-Campos FM; Department of Engineering, CeiA3, University of Almería, Ctra. Sacramento, s/n, 04120, Almería, Spain., Salmerón ADM; Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120, Almería, Spain., Rodríguez FI; Torrecárdenas University Hospital, 04009, Almería, Spain., Maresca MÁR; Torrecárdenas University Hospital, 04009, Almería, Spain., García AB; Torrecárdenas University Hospital, 04009, Almería, Spain., Melguizo C; Biosanitary Research Institute of Granada (ibs.GRANADA), 18014, Granada, Spain.; Institute of Biopathology and Regenerative Medicine (IBIMER), Biomedical Research Center (CIBM), 18100, Granada, Spain.; Department of Anatomy and Embryology, University of Granada, 18071, Granada, Spain., Prados J; Biosanitary Research Institute of Granada (ibs.GRANADA), 18014, Granada, Spain. jcprados@ugr.es.; Institute of Biopathology and Regenerative Medicine (IBIMER), Biomedical Research Center (CIBM), 18100, Granada, Spain. jcprados@ugr.es.; Department of Anatomy and Embryology, University of Granada, 18071, Granada, Spain. jcprados@ugr.es., Fernández I; Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120, Almería, Spain. ifernan@ual.es.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Oct 10; Vol. 14 (1), pp. 23713. Date of Electronic Publication: 2024 Oct 10.
DOI: 10.1038/s41598-024-74641-9
Abstrakt: 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).
(© 2024. The Author(s).)
Databáze: MEDLINE
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