Summary of Study ST002291
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 PR001469. The data can be accessed directly via it's Project DOI: 10.21228/M8V134 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 | ST002291 |
| Study Title | Integrated metabolic and inflammatory signatures associated with severity, fatality, and recovery of COVID-19 |
| Study Type | Research |
| Study Summary | Severe manifestations of coronavirus disease 2019 (COVID-19) and mortality have been associated with physiological alterations that provide insights into the pathogenesis of the disease. Moreover, factors that drive recovery from COVID-19 can be explored to identify correlates of protection. The cellular metabolism represents a potential target to improve survival upon severe disease, but the associations between the metabolism and the inflammatory response during COVID-19 are not well defined. We analyzed blood laboratorial parameters, cytokines, and metabolomes of 150 individuals with mild to severe disease, of which 33 progressed to a fatal outcome. A subset of 20 individuals was followed-up after hospital discharge and recovery of acute disease. We used hierarchical community networks to integrate metabolomics profiles with cytokines and markers of inflammation, coagulation, and tissue damage. Infection by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) promotes significant alterations in the plasma metabolome, whose activity varies according to disease severity and correlates with oxygen saturation. Differential metabolism underlying death was marked by amino acids and related metabolites, such as glutamate, tryptophan and oxoproline; and lipids, including progesterone, phosphocholine and lysophosphatidylcholines (lysoPCs). Individuals that recovered from severe disease displayed persistent alterations enriched for metabolism of purines, phosphatidylinositol phosphate and glycolysis. Recovery of mild disease was associated with vitamin E metabolism. Data integration shows that the metabolic response is a hub connecting other biological features during disease and recovery. Infection by SARS-CoV-2 induces concerted activity of metabolic and inflammatory responses that depend on disease severity and collectively predict clinical outcomes of COVID-19. |
| Institute | Federal University of Goiás |
| Department | Institute of Tropical Pathology and Public Health |
| Last Name | Gardinassi |
| First Name | Luiz Gustavo |
| Address | R. 235 s/n - Institute of Tropical Pathology and Public Health - Federal University of Goiás |
| luizgardinassi@ufg.br | |
| Phone | +55 62 3209-6530 |
| Submit Date | 2022-09-08 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML, raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-10-19 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003743 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Agilent 1220 Infinity |
| Column | Agilent Zorbax Eclipse Plus C18 (150 x 4.6mm,3.5um) |
| MS Type | ESI |
| MS instrument type | Orbitrap |
| MS instrument name | Thermo Q Exactive Orbitrap |
| Ion Mode | POSITIVE |
| Units | peak area |
MS:
| MS ID: | MS003490 |
| Analysis ID: | AN003743 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | The electrospray ionization was operating with the following settings: spray voltage 3.5 kV; capillary temperature: 269 °C; S-lens RF level 50 V; sheath gas flow rate at 53 L min-1; aux gas flow rate at 14 L min-1; sweep gas flow rate 3 L min-1. The high-resolution mass-spectrometry was obtained under full MS/dd-MS2 mode. The mass range in the full MS scanning experiments was m/z 80-1200. The max IT was set at 200 ms, and AGC target was set at 1 x 106. For fragmentation acquisition, the top 5 (TopN, 5, loop count 5) most abundant precursors were sequentially transferred into the C-Trap (AGC target 1 x 105; max IT 50 ms) for collision. The collision energy for target analytes was 20, 30 and 35 eV. Resolving power was set at 140,000 and 70,000 for full MS and dd-MS2 acquisitions, respectively. Proteowizard software was used to convert .raw files into mzXML format and apLCMS software was used to perform peak deconvolution and detection, to filter noise, to align mass-to-charge ratio (m/z) and retention time and to quantify metabolite features, which are defined by a specific m/z, retention time and intensity values for each sample. |
| Ion Mode: | POSITIVE |
