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A bioinformatic analysis: Previous allergen exposure may support anti- SARS-CoV-2 immune response.
- Source :
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Computational biology and chemistry [Comput Biol Chem] 2023 Dec; Vol. 107, pp. 107961. Date of Electronic Publication: 2023 Sep 20. - Publication Year :
- 2023
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Abstract
- COVID-19, caused by infection with the SARS-CoV-2 has become a global health problem due to significant mortality rates; the exact pathophysiological mechanism remains uncertain. Articles reporting patient data are quite heterogeneous and have several limitations. Surviving patients develop a CD4 and CD8 T-cell response to the virus SARS-CoV-2 during COVID-19. Interestingly, pre-existing virus-reactive T-cells have been found in patients that were not infected before, suggesting some form of cross-reactivity or immunological mimicry. To better understand this phenomenon, we performed a bioinformatic study, which was aimed to identify antigenic structures that may explain the presence of such "reactive" T-cells, which may support or modulate the immune response to SARS-CoV-2 infections. Seven different common environmental allergen epitopes identical to the SARS-CoV-2 S-protein were identified that share affinity to 8 MHCI-specific epitope regions. Pollen showed the greatest similarity with the S protein epitope. In the epitope similarity analysis between the S protein and MHC-II / T helper epitopes, the highest similarity was determined for mites. When S-protein that stimulates B cells and identical epitope antigens are examined, the most common allergens were hornbeam and wheat. The high epitope similarity observed for the allergens examined and S protein epitopes suggest that these allergens may be a reason for pre-existing SARS-CoV-2 - reactive T-cells in previously non-infected subjects and such a previous exposure may affect the course of the disease in COVID-19 infection. It remains to be determined whether such a previous existence of SARS-CoV-2 reactive cells can support the clearance of the virus or if they, in contrast, may even aggravate the disease course. (Table 4, Ref 54).<br />Competing Interests: Declaration of Competing Interest This manuscript has not been published and is not under consideration for publication elsewhere. We have no conflicts of interest to disclose. This study signed by all contributors, and no financial support was received for this study.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1476-928X
- Volume :
- 107
- Database :
- MEDLINE
- Journal :
- Computational biology and chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 37788543
- Full Text :
- https://doi.org/10.1016/j.compbiolchem.2023.107961