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Details

Autor(en) / Beteiligte
Titel
Immunodominant antibody responses directed to SARS-CoV-2 hotspot mutation sites and risk of immune escape
Ist Teil von
  • Frontiers in immunology, 2023-01, Vol.13, p.1010105-1010105
Ort / Verlag
Switzerland: Frontiers Media S.A
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
Beschreibungen/Notizen
  • Considering the likely need for the development of novel effective vaccines adapted to emerging relevant CoV-2 variants, the increasing knowledge of epitope recognition profile among convalescents and afterwards vaccinated with identification of immunodominant regions may provide important information. We used an RBD peptide microarray to identify IgG and IgA binding regions in serum of 71 COVID-19 convalescents and 18 vaccinated individuals. We found a set of immunodominant RBD antibody epitopes, each recognized by more than 30% of the tested cohort, that differ among the two different groups and are within conserved regions among betacoronavirus. Of those, only one peptide, P44 (S415-429), recognized by 68% of convalescents, presented IgG and IgA antibody reactivity that positively correlated with nAb titers, suggesting that this is a relevant RBD region and a potential target of IgG/IgA neutralizing activity. This peptide is localized within the area of contact with ACE-2 and harbors the mutation hotspot site K417 present in gamma (K417T), beta (K417N), and omicron (K417N) variants of concern. The epitope profile of vaccinated individuals differed from convalescents, with a more diverse repertoire of immunodominant peptides, recognized by more than 30% of the cohort. Noteworthy, immunodominant regions of recognition by vaccinated coincide with mutation sites at Omicron BA.1, an important variant emerging after massive vaccination. Together, our data show that immune pressure induced by dominant antibody responses may favor hotspot mutation sites and the selection of variants capable of evading humoral response.
Sprache
Englisch
Identifikatoren
ISSN: 1664-3224
eISSN: 1664-3224
DOI: 10.3389/fimmu.2022.1010105
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_bf2597243b4c4685ba65b69e3a5b0a1c

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