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

"data availability uhplc-ms data for the quantitative study in raw format is freely available in the metabolights repository (haug et al 2020 ) with study identifier mtbls7429 ( www ebi ac uk/metabolights/ ). data availability uhplc-ms data for the quantitative study in raw format is freely available in the metabolights repository (haug et al 2020 ) with study identifier mtbls7429"

"all the packages versions and code were the same and are available in github ( https://github com/dbkgroup/covid )."

"Declarations Conflict of interestAll authors declare no conflict of interest. Ethical approvalEthical approval for the use of serum samples and associated metadata in this study was obtained from North West—Haydock research ethics committee (REC ref: 20/NW/0332). Research involving human and animal rightsAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Conflict of interest All authors declare no conflict of interest."

"Funding This research was supported by Biotechnology and Biological Sciences Research Council (Grant Number BB/V003976/1), Novo Nordisk Foundation (Grant NNF20CC0035580) and Medical Research Council (Grant reference: MR/S010483/1) provided to MAP/UK project."