Summary of Study ST002087
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 PR001326. The data can be accessed directly via it's Project DOI: 10.21228/M89T2Q 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 | ST002087 |
Study Title | Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients |
Study Type | NMR-based metabolomics |
Study Summary | 1H NMR spectra of EDTA-plasma from 246 COVID-19-positive subjects in the acute phase of infection were compared to those of 94 COVID-19-recovered subjects. The two cohorts are largely different (discrimination accuracy > 93%) due to a pool of 16 metabolites and 74 lipoprotein parameters significantly up- or down-regulated in the patients and within the healthy range in the recovered subjects. In 28 post-acute COVID-19-positive patients, the metabolites levels are reverted back to normality whereas the lipoprotein parameters are still altered. Therefore, the metabolite biomarkers might be used as the timeliest sign of the individual response to treatment or spontaneous healing. |
Institute | University of Florence |
Department | Department of Chemistry |
Laboratory | metabolomics |
Last Name | Ghini |
First Name | Veronica |
Address | via Luigi Sacconi |
ghini@cerm.unifi.it | |
Phone | +390554574266 |
Submit Date | 2022-02-17 |
Num Groups | 3 |
Total Subjects | 368 |
Num Males | 201 |
Num Females | 167 |
Raw Data Available | Yes |
Raw Data File Type(s) | fid |
Analysis Type Detail | NMR |
Release Date | 2022-03-16 |
Release Version | 1 |
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Subject:
Subject ID: | SU002171 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Gender: | Male and female |
Human Inclusion Criteria: | hospedalized COVID-19 patients |