| Autor: |
Michael Szardenings, Nicolas Delaroque, Karolin Kern, Lisbeth Ramirez-Caballero, Marcus Puder, Eva Ehrentreich-Förster, Joachim Beige, Sebastian Zürner, Georg Popp, Johannes Wolf, Stephan Borte |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Vaccines, Vol 11, Iss 9, p 1403 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2076-393X |
| DOI: |
10.3390/vaccines11091403 |
| Popis: |
(1) Background: Coronavirus proteins are quite conserved amongst endemic strains (eCoV) and SARS-CoV-2. We aimed to evaluate whether peptide epitopes might serve as useful diagnostic biomarkers to stratify previous infections and COVID-19. (2) Methods: Peptide epitopes were identified at an amino acid resolution that applied a novel statistical approach to generate data sets of potential antibody binding peptides. (3) Results: Data sets from more than 120 COVID-19 or eCoV-infected patients, as well as vaccinated persons, have been used to generate data sets that have been used to search in silico for potential epitopes in proteins of SARS-CoV-2 and eCoV. Peptide epitopes were validated with >300 serum samples in synthetic peptide micro arrays and epitopes specific for different viruses, in addition to the identified cross reactive epitopes. (4) Conclusions: Most patients develop antibodies against non-structural proteins, which are useful general markers for recent infections. However, there are differences in the epitope patterns of COVID-19, and eCoV, and the S-protein vaccine, which can only be explained by a high degree of cross-reactivity between the viruses, a pre-existing immune response against some epitopes, and even an alternate processing of the vaccine proteins. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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