Summary of project PR002455
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 PR002455. The data can be accessed directly via it's Project DOI: 10.21228/M89G1W This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR002455 |
| Project DOI: | doi: 10.21228/M89G1W |
| Project Title: | Time-series metabolomic profiling of SARS-CoV-2 infection |
| Project Summary: | The global impact of SARS-CoV-2, which causes COVID-19, remains significant, being intensified by the emergence of variants. Comprehensive metabolomic studies aimed to elucidate the distinctive metabolic footprint of the virus. For critically ill patients with COVID-19 in the intensive care unit (ICU), longitudinal monitoring based on their prognosis is crucial to optimize treatment outcomes. Methods: This study retrospectively investigated the temporal changes in the metabolomic profiles of patients admitted to the ICU with COVID-19, who were categorized into three prognostic groups: healthy discharged (HD), polyneuropathic syndrome (PS), and Exitus. In total, 32 serum samples collected in April 2020 at regular intervals (four samples per patient) and stored at −80°C, were analyzed using proton nuclear magnetic resonance (1H-NMR) spectroscopy. |
| Institute: | Acibadem University |
| Department: | School of Medicine- Department of Medical Biochemistry |
| Last Name: | Baykal |
| First Name: | Ahmet |
| Address: | İçerenköy, Kayışdağı Cd. No:32 Atasehir, Istanbul, NA, 34752, Turkey |
| Email: | atbaykal@gmail.com |
| Phone: | +902165004828 |
| Contributors: | Emir Matpan, Ahmet Tarık Baykal, Lütfi Telci, Türker Kundak and Mustafa Serteser |
Summary of all studies in project PR002455
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST003922 | Time-series metabolomic profiling of SARS-CoV-2 infection: Possible prognostic biomarkers in patients in the ICU by ¹H-NMR analysis | Homo sapiens | Acibadem University | NMR | 2025-06-17 | 1 | 32 | Uploaded data (42.5M)* |
