Summary of Study ST002404
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 | ST002404 |
| Study Title | Profiling Metabolites and Lipoproteins in COMETA, an Italian Cohort of COVID-19 patients-part 2 |
| Study Summary | Here, we report a detailed and comprehensive characterization of the metabolomic and lipoproteomic fingerprint of plasma samples of a high number of hospitalized COVID-19 patients, with different disease severities, infected with different viral variants and with different vaccination statues. Our data deeply extend a first metabolomic/lipoproteomic characterization of the disease published at the beginning of 2022(Ghini V. et al., Plos Path 2022, 18(4):e1010443) performed on a much small number of subjects of the same cohort, infected before a significant spread of the Delta variant and before the administration of the vaccines. |
| Institute | University of Florence |
| Last Name | Ghini |
| First Name | Veronica |
| Address | via Luigi Sacconi, 6, Sesto Fiorentino, Firenze, 50019, Italy |
| ghini@cerm.unifi.it | |
| Phone | +390554574266 |
| Submit Date | 2022-11-09 |
| Num Groups | 2 |
| Total Subjects | 605 |
| Num Males | 339 |
| Num Females | 266 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | fid |
| Analysis Type Detail | NMR |
| Release Date | 2023-11-09 |
| Release Version | 1 |
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Project:
| Project ID: | PR001326 |
| Project DOI: | doi: 10.21228/M89T2Q |
| Project Title: | Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients |
| Project Type: | NMR-based metabolomics |
| Project Summary: | 1H NMR spectra of EDTA-plasma from 246 COVID-19-positive subjects in the acute phase of infection were compared to those of 95 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 6 |
| Email: | ghini@cerm.unifi.it |
| Phone: | +390554574266 |
| Funding Source: | COMETA project, funded by the Tuscany Region,Italy |
