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10.1016/j.xcrm.2021.100369 http://scihub22266oqcxt.onion/10.1016/j.xcrm.2021.100369 34308390!8292035!34308390     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 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 {{tp|p=34308390|t=2021. Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity |pdf=|usr=}}{{34308390}} gab.com Text Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity JO: Cell Rep Med http://www.kidney.de/pget.php?&tw=1&pmid=34308390 #FOAvip 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. Twit Text FOAVip Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity ????Cell Rep Med http://www.kidney.de/pget.php?&tw=1&pmid=34308390 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34308390 #FOAvip English Wikipedia <ref>{{Cite pmid|34308390}}</ref> 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. |Adult[MESH] |Biomarkers/blood[MESH] |COVID-19/*metabolism[MESH] |Female[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |Machine Learning[MESH] |Male[MESH] |Metabolome[MESH] |Metabolomics/methods[MESH] |Middle Aged[MESH] |Patient Acuity[MESH] |Plasma/chemistry/*metabolism[MESH] |Prognosis[MESH] |SARS-CoV-2/*metabolism[MESH]Longitudinal metabolomics of human plasma reveals prognostic markers o(epmc).pdf DeepDyve Pubget Overpricing