Summary of Study ST001849
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001166. The data can be accessed directly via it's Project DOI: 10.21228/M80981 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST001849 |
| Study Title | Longitudinal Metabolomics of Human Plasma Reveals Robust Prognostic Markers of COVID-19 Disease Severity (part I) |
| Study Summary | 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 determine disease severity. Through analysis of longitudinal samples, we confirm that the majority of these markers are directly related to disease progression and that their levels are restored to baseline upon disease recovery. Finally, we validate that these metabolites are also altered in a hamster model of COVID-19. Our results indicate that metabolic changes associated with COVID-19 severity can be effectively used to stratify patients and inform resource allocation during the pandemic. |
| Institute | Washington University in St. Louis |
| Department | Chemistry |
| Laboratory | Patti |
| Last Name | Patti |
| First Name | Gary |
| Address | McMillen Chemistry Laboratory Washington University 1 Brookings Dr @ Throop Drive Rm 102 St. Louis, MO 63130-4899 |
| gjpattij@wustl.edu | |
| Phone | 314-935-3512 |
| Submit Date | 2021-01-29 |
| Num Groups | 3 |
| Total Subjects | 339 |
| Num Males | 184 |
| Num Females | 155 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-06-30 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR001166 |
| Project DOI: | doi: 10.21228/M80981 |
| Project Title: | Longitudinal Metabolomics of Human Plasma Reveals Robust Prognostic Markers of COVID-19 Disease Severity |
| Project Summary: | 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 determine disease severity. Through analysis of longitudinal samples, we confirm that the majority of these markers are directly related to disease progression and that their levels are restored to baseline upon disease recovery. Finally, we validate that these metabolites are also altered in a hamster model of COVID-19. Our results indicate that metabolic changes associated with COVID-19 severity can be effectively used to stratify patients and inform resource allocation during the pandemic. |
| Institute: | Washington University in St. Louis |
| Department: | Chemistry |
| Laboratory: | Patti |
| Last Name: | Patti |
| First Name: | Gary |
| Address: | McMillen Chemistry Laboratory, Washington University, 1 Brookings Dr @ Throop Drive, Rm 102, St. Louis, MO 63130-4899 |
| Email: | gjpattij@wustl.edu |
| Phone: | 314-935-3512 |
