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Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Cell+Rep+Med 2021 ; 2 (8): 100369 Nephropedia Template TP
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Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity #MMPMID34308390
Sindelar M; Stancliffe E; Schwaiger-Haber M; Anbukumar DS; Adkins-Travis K; Goss CW; O'Halloran JA; Mudd PA; Liu WC; Albrecht RA; Garcia-Sastre A; Shriver LP; Patti GJ
Cell Rep Med 2021[Aug]; 2 (8): 100369 PMID34308390show ga
There is an urgent need to identify which COVID-19 patients will develop life-threatening illness so that medical resources can be optimally allocated and rapid treatment can be administered early in the disease course, when clinical management is most effective. To aid in the prognostic classification of disease severity, we perform untargeted metabolomics on plasma from 339 patients, with samples collected at six longitudinal time points. Using the temporal metabolic profiles and machine learning, we build a predictive model of disease severity. We discover that a panel of metabolites measured at the time of study entry successfully determines disease severity. Through analysis of longitudinal samples, we confirm that most of these markers are directly related to disease progression and that their levels return to baseline upon disease recovery. Finally, we validate that these metabolites are also altered in a hamster model of COVID-19.