Manara - Qatar Research Repository
Browse
10.1016_j.metop.2020.100074.pdf (219.6 kB)

Mapping of type 2 diabetes proteins to COVID-19 biomarkers: A proteomic analysis

Download (219.6 kB)
journal contribution
submitted on 2024-07-01, 11:13 and posted on 2024-07-01, 11:13 authored by Abu Saleh Md Moin, Ahmed Al-Qaissi, Thozhukat Sathyapalan, Stephen L. Atkin, Alexandra E. Butler

To the Editor

To determine predictive biomarkers for COVID-19 disease and infection severity, large scale multi-omic analyses have been undertaken in patients with respiratory disease, with and without COVID-19 disease [1]. Biomarkers involved in vessel damage, platelet degranulation, the coagulation cascade and the acute phase response were identified in COVID-19 disease and shown to differ further with increasing COVID-19 disease severity [1]. However, differences in protein expression may differ between patients with type 2 diabetes (T2D) and controls [2] and T2D patients may have altered markers of coagulation together with altered platelet function resulting in a prothrombotic propensity [3]. Biomarkers, or a combination of biomarkers, specific for COVID-19 disease in T2D would necessarily be independent of differentially expressed proteins in T2D versus controls. Therefore, this proteomic analysis was undertaken in subjects with and without T2D to compare these with the COVID-19 disease-related proteomic biomarkers that have been identified by using shotgun proteomics followed by parallel reaction monitoring [1], and to determine if any of the protein changes were dependent on glycemia.

Other Information

Published in: Metabolism Open
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.metop.2020.100074

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2021

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • Qatar Biomedical Research Institute - HBKU
  • Diabetes Research Center - QBRI

Usage metrics

    Qatar Biomedical Research Institute - HBKU

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC