Summary of Study ST003922
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
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 | ST003922 |
| Study Title | Time-series metabolomic profiling of SARS-CoV-2 infection: Possible prognostic biomarkers in patients in the ICU by ¹H-NMR analysis |
| Study 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 |
| Last Name | Baykal |
| First Name | Ahmet |
| Address | İçerenköy, Kayışdağı Cd. No:32 Atasehir, Istanbul, NA, 34752, Turkey |
| atbaykal@gmail.com | |
| Phone | +902165004828 |
| Submit Date | 2025-05-20 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | fid |
| Analysis Type Detail | NMR |
| Release Date | 2025-06-17 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| 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 |
Subject:
| Subject ID: | SU004057 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Sample collection time | Prognostic group |
|---|---|---|---|---|
| SA444301 | S8T0 | Serum | T0 | Exitus |
| SA444302 | S7T0 | Serum | T0 | Exitus |
| SA444303 | S3T0 | Serum | T0 | Healthy discharged |
| SA444304 | S4T0 | Serum | T0 | Healthy discharged |
| SA444305 | S1T0 | Serum | T0 | Healthy discharged |
| SA444306 | S2T0 | Serum | T0 | Healthy discharged |
| SA444307 | S5T0 | Serum | T0 | Polyneuropathic syndrome |
| SA444308 | S6T0 | Serum | T0 | Polyneuropathic syndrome |
| SA444309 | S8T1 | Serum | T1 | Exitus |
| SA444310 | S7T1 | Serum | T1 | Exitus |
| SA444311 | S2T1 | Serum | T1 | Healthy discharged |
| SA444312 | S3T1 | Serum | T1 | Healthy discharged |
| SA444313 | S4T1 | Serum | T1 | Healthy discharged |
| SA444314 | S1T1 | Serum | T1 | Healthy discharged |
| SA444315 | S5T1 | Serum | T1 | Polyneuropathic syndrome |
| SA444316 | S6T1 | Serum | T1 | Polyneuropathic syndrome |
| SA444317 | S8T2 | Serum | T2 | Exitus |
| SA444318 | S7T2 | Serum | T2 | Exitus |
| SA444319 | S1T2 | Serum | T2 | Healthy discharged |
| SA444320 | S2T2 | Serum | T2 | Healthy discharged |
| SA444321 | S4T2 | Serum | T2 | Healthy discharged |
| SA444322 | S3T2 | Serum | T2 | Healthy discharged |
| SA444323 | S6T2 | Serum | T2 | Polyneuropathic syndrome |
| SA444324 | S5T2 | Serum | T2 | Polyneuropathic syndrome |
| SA444325 | S7T3 | Serum | T3 | Exitus |
| SA444326 | S8T3 | Serum | T3 | Exitus |
| SA444327 | S2T3 | Serum | T3 | Healthy discharged |
| SA444328 | S1T3 | Serum | T3 | Healthy discharged |
| SA444329 | S4T3 | Serum | T3 | Healthy discharged |
| SA444330 | S3T3 | Serum | T3 | Healthy discharged |
| SA444331 | S6T3 | Serum | T3 | Polyneuropathic syndrome |
| SA444332 | S5T3 | Serum | T3 | Polyneuropathic syndrome |
| Showing results 1 to 32 of 32 |
Collection:
| Collection ID: | CO004050 |
| Collection Summary: | Serum samples (n = 32) collected retrospectively in April 2020 at regular intervals (0 (April 10, 2020), 1st (April 13, 2020), 2nd (April 17, 2020), and 3rd (April 20, 2020) time points, giving four samples per patient) and preserved at −80°C |
| Sample Type: | Blood (serum) |
Treatment:
| Treatment ID: | TR004066 |
| Treatment Summary: | All samples, previously stored at −80°C, were thawed at 4°C for 1 hour prior to analysis. The samples were briefly vortexed and then centrifuged at 14,000×g for 5 minutes at 4°C. The resulting supernatants were subsequently collected for further analysis |
Sample Preparation:
| Sampleprep ID: | SP004063 |
| Sampleprep Summary: | Each sample was prepared by adding a commercially prepared pH 7.4 sodium phosphate buffer (Bruker, Billerica, MA, USA) and serum at a 1:1 ratio, resulting in a final volume of 600 µL for each sample. Samples were then manually shaken gently for 1 min before being transferred into 5-mm SampleJet™ NMR tubes. |
Analysis:
| Analysis ID: | AN006439 |
| Laboratory Name: | Acıbadem Labmed Clinical Laboratory NMR Center |
| Analysis Type: | NMR |
| Num Factors: | 12 |
| Num Metabolites: | 40 |
| Units: | mmol/L |
NMR:
| NMR ID: | NM000314 |
| Analysis ID: | AN006439 |
| Instrument Name: | Bruker Avance IVDr |
| Instrument Type: | FT-NMR |
| NMR Experiment Type: | 1D-1H |
| Spectrometer Frequency: | 600 MHz |
| NMR Probe: | Double Resonance Broadband Probe (BBI) |
| NMR Solvent: | H2O + D2O |
| NMR Tube Size: | 5 mm x 4 in |
| Shimming Method: | Topshim_ivdr |
| Pulse Sequence: | noesygppr1d |
| Water Suppression: | NOESY |