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

定量 LC-MS 研究发现,化合物可预测 COVID-19 的严重程度和结果

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作者:Ivayla Roberts, Marina Wright Muelas, Joseph M Taylor, Andrew S Davison, Catherine L Winder, Royston Goodacre, Douglas B Kell

Conclusion

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.

Methods

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.

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