Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome



Roberts, Ivayla, Muelas, Marina Wright, Taylor, Joseph, Davison, Andrew ORCID: 0000-0001-5501-4475, Winder, Catherine, Goodacre, Royston ORCID: 0000-0003-2230-645X and Kell, Douglas ORCID: 0000-0001-5838-7963
(2023) Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome. [Preprint]

[img] PDF
iva_quant_metabolomics23.pdf - Other

Download (1MB) | Preview

Abstract

<h4>INTRODUCTION</h4> Since the beginning of the SARS-CoV-2 pandemic in December 2019 multiple metabolomics studies have proposed predictive biomarkers of infection severity and outcome. Whilst some trends have emerged, the findings remain intangible and uninformative when it comes to new patients. <h4>OBJECTIVES</h4> In this study, we accurately quantitate a subset of compounds in patient serum that were found predictive of severity and outcome. <h4>METHODS</h4> A targeted LC-MS method was used in 46 control and 95 acute COVID-19 patient samples to quantitate the selected metabolites. These compounds included tryptophan and its degradation products kynurenine and kynurenic acid (reflective of immune response), butyrylcarnitine and its isomer (reflective of energy metabolism) and finally 3’,4’-didehydro-3’-deoxycytidine, a deoxycytidine analogue, (reflective of host viral defence response). We subsequently examine changes in those markers by disease severity and outcome relative to those of control patients’ levels. <h4>RESULTS & CONCLUSION</h4> Finally, we demonstrate the added value of the kynurenic acid / tryptophan ratio for severity and outcome prediction and highlight the viral detection potential of ddhC.

Item Type: Preprint
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences > School of Medicine
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 25 Oct 2023 10:00
Last Modified: 25 Oct 2023 10:00
DOI: 10.1101/2023.03.17.23287401
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3176424