Summary of Study ST002194

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 PR001398. The data can be accessed directly via it's Project DOI: 10.21228/M8141Z 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.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST002194
Study TitleMetabolic profiling at COVID-19 onset shows disease severity and sex-specific dysregulation
Study SummaryIn this study CE-MS and GC-MS based metabolomics was used to analyze COVID-19 disease. In total, 144 individuals classified as healthy, asymptomatic/mils, moderate and severe according to the highest COVID-19 severity status, were analyzed.
Institute
CEMBIO
Last NameBarbas
First NameCoral
AddressCEU Universities, Urbanización Montepríncipe
Emailcbarbas@ceu.es
Phone+34 913724700
Submit Date2022-06-09
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailGC/LC-MS
Release Date2022-06-17
Release Version1
Coral Barbas Coral Barbas
https://dx.doi.org/10.21228/M8141Z
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Project:

Project ID:PR001398
Project DOI:doi: 10.21228/M8141Z
Project Title:Metabolic profiling at COVID-19 onset shows disease severity and sex-specific dysregulation
Project Summary:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes an acute respiratory disease, the coronavirus disease 2019 (COVID-19), which has been associated with high mortality and morbidity rates worldwide. However, the biological mechanisms of SARS-CoV-2 induced pathology are still not completely understood. This study aimed to characterize the metabolic and cytokine profile of COVID-19 patients at hospital admission and identify its association with the highest COVID-19 severity reached, as well as the differences by sex. We performed a metabolomics analysis in 129 COVID-19 patients enrolled from March to September 2020 at three hospitals in Madrid: Infanta Leonor University Hospital, del Tajo University Hospital, and Príncipe de Asturias University Hospital (although 123 fulfilled criteria and were used in statistical analysis), and a control group of 15 pre-pandemic healthy controls without any known infection. Patient samples were collected at hospital admission or within the first days after hospitalization and an untargeted plasma metabolic profiling (gas chromatography and capillary electrophoresis-mass spectrometry (GC and CE-MS)) was performed. The primary outcomes were SARS-CoV-2 infection (COVID-19 patients versus healthy controls), COVID-19 symptomatology (hospitalized symptomatic patients (moderate plus severe) versus asymptomatic), and COVID-19 severe (severe versus moderate).
Institute:CEMBIO
Last Name:Barbas
First Name:Coral
Address:CEU Universities, Urbanización Montepríncipe
Email:cbarbas@ceu.es
Phone:+34 913724700
  logo