2022
DOI: 10.20944/preprints202211.0474.v1
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Combining Semi-targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in Serum and Urine of Hospitalized Patients with COVID-19

Abstract: Viral infections cause metabolic dysregulation in the infected organism. The present study used metabolomics techniques and machine learning algorithms to retrospectively analyze the alter-ations of a broad panel of metabolites in the serum and urine of a cohort of 126 patients hospi-talized with COVID-19. Results were compared with those of 50 healthy subjects and 45 COVID-19 negative patients but with bacterial infectious diseases. Metabolites were analyzed by gas chro-matography coupled to quadrupole time-o… Show more

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