Summary of Study ST003039
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 PR001891. The data can be accessed directly via it's Project DOI: 10.21228/M88X46 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 | ST003039 |
Study Title | A Non-Targeted Metabolomics Comparative Study on Plasma of Pfizer and Sinopharm COVID- 19 Vaccinated individuals, Assessed by (TIMS-QTOF) Mass Spectrometry. |
Study Summary | COVID-19 is a contagious globally threatening infectious disease that accounted for an ongoing pandemic that manifested in multi-organs diseases and failures. The current study aimed to investigate the effectiveness of the Pfizer and Sinopharm vaccines in relation to metabolomic alterations and their association with immune pathways. The study employed a cross-sectional design and utilized an untargeted metabolomics-based approach. Plasma samples were collected from three groups: non- vaccinated participants, Sinopharm vaccinated participants, and Pfizer vaccinated participants. Comparative metabolomic analysis was performed using TIMS-QTOF, and a one-way ANOVA test was conducted using MetaboAnalyst Software. Out of the 105 detected metabolites, 72 showed statistically significant alterations (p<0.05) among the different groups. Several metabolites, including neopterin, pyridoxal, and syringic acid, were highly altered in individuals vaccinated with Pfizer. On the other hand, sphinganine, neopterin, and sphingosine were impacted in individuals vaccinated with Sinopharm. These metabolites could potentially serve as biomarkers for vaccine efficacy. Furthermore, both Pfizer and Sinopharm vaccinations were found to affect sphingolipid metabolism pathways and histidine metabolism pathways when compared to the control group. The Sinopharm group exhibited altered lysine degradation compared to the control group. When comparing the enriched pathways of the Pfizer and Sinopharm groups, purine metabolism was found to be affected. Additionally, perturbations in tryptophan metabolism and vitamin B6 metabolism were observed when comparing the Pfizer group with both the control and Sinopharm groups. These findings highlight the importance of metabolomics in assessing vaccine effectiveness and identifying potential biomarkers. |
Institute | Sharjah Institute for Medical Research |
Last Name | Facility |
First Name | Core |
Address | M32, SIMR, College of Pharmacy, Health Sciences, University of Sharjah, Sharjah, UAE, Sharjah, 000, United Arab Emirates |
tims-tof@sharjah.ac.ae | |
Phone | +971 6 5057656 |
Submit Date | 2024-01-02 |
Raw Data Available | Yes |
Raw Data File Type(s) | d |
Analysis Type Detail | LC-MS |
Release Date | 2024-01-31 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN004986 |
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Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Bruker Elute |
Column | Hamilton Intensity Solo 2 C18 (100 x 2.1 mm, 1.8 um) |
MS Type | ESI |
MS instrument type | QTOF |
MS instrument name | Bruker timsTOF |
Ion Mode | POSITIVE |
Units | AU |
MS:
MS ID: | MS004726 |
Analysis ID: | AN004986 |
Instrument Name: | Bruker timsTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
MS Comments: | The MS analysis was performed using a TimsTOF (Bruker, Darmstadt, Germany) with Apollo II electrospray ionization (ESI) source. The drying gas was set to flow at 10 L/min and the drying temperature to 220C and the nebulizer pressure to 2.2 bar. The capillary voltage was 4500 V and the end plate offset 500V. For metabolomics the scan range was 20-1300 m/z. The collision energy was set to 20 eV, the cycle time to 0.5 seconds with a relative minimum intensity threshold of 400 counts per thousand and target intensity of 20,000. Sodium formate was injected as an external calibrant in the first 0.3 minutes of each LC-MS/MS run. MetaboScape 4.0 software was used for metabolite processing and statistical analysis (Bruker Daltonics). The following parameters for molecular feature identification and "bucketing" were set in the T-ReX 2D/3D workflow: For peak detection, a minimum intensity threshold of 1,000 counts is required, as well as a minimum peak duration of 7 spectra, with feature quantification determine using peak area. The file masses were recalibrated based on the external calibrant injected between 0-0.3 min. |
Ion Mode: | POSITIVE |