Metabolic profiling during COVID-19 infection in humans: Identification of potential biomarkers for occurrence, severity and outcomes using machine learning

After its emergence in China, the coronavirus SARS-CoV-2 has swept the world, leading to global health crises with millions of deaths. COVID-19 clinical manifestations differ in severity, ranging from mild symptoms to severe disease. Although perturbation of metabolism has been reported as a part of...

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Bibliographic Details
Published in:	PloS one Vol. 19; no. 5; p. e0302977
Main Authors:	Elgedawy, Gamalat A, Samir, Mohamed, Elabd, Naglaa S, Elsaid, Hala H, Enar, Mohamed, Salem, Radwa H, Montaser, Belal A, AboShabaan, Hind S, Seddik, Randa M, El-Askaeri, Shimaa M, Omar, Marwa M, Helal, Marwa L
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 30-05-2024 Public Library of Science (PLoS)
Subjects:	Adult Aged Amino acids Analysis Biological markers Biology and Life Sciences Biomarkers Biomarkers - blood Biometry Blood Chromatography Coronaviruses COVID-19 COVID-19 - blood COVID-19 - diagnosis COVID-19 - metabolism Disease transmission Ethylenediaminetetraacetic acid Female Genomes Global health Health aspects Health care Humans Infections Learning algorithms Machine Learning Male Mass spectrometry Medicine and Health Sciences Metabolism Metabolites Metabolome Metabolomics Metabolomics - methods Middle Aged NMR Nuclear magnetic resonance Parameters Patients Physiological aspects Prediction models Public health Research and Analysis Methods Respiratory distress syndrome SARS-CoV-2 - isolation & purification Scientific imaging Severe acute respiratory syndrome coronavirus 2 Severity of Illness Index Signs and symptoms Tauroursodeoxycholic acid Ventilation Ventilators Viral diseases World health China Taiwan United States > US Egypt
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