Characteristics and functions of infection-enhancing antibodies to the N-terminal domain of SARS-CoV-2.
bioRxiv
; 2023 Sep 20.
Article
em En
| MEDLINE
| ID: mdl-37786672
ABSTRACT
Characterization of functional antibody responses to the N-terminal domain (NTD) of the SARS-CoV-2 spike (S) protein has included identification of both potent neutralizing activity and putative enhancement of infection. Fcγ-receptor (FcγR)-independent enhancement of SARS-CoV-2 infection mediated by NTD-binding monoclonal antibodies (mAbs) has been observed in vitro , but the functional significance of these antibodies in vivo is not clear. Here we studied 1,213 S-binding mAbs derived from longitudinal sampling of B-cells collected from eight COVID-19 convalescent patients and identified 72 (5.9%) mAbs that enhanced infection in a VSV-SARS-CoV-2-S-Wuhan pseudovirus (PV) assay. The majority (68%) of these mAbs recognized the NTD, were identified in patients with mild and severe disease, and persisted for at least five months post-infection. Enhancement of PV infection by NTD-binding mAbs was not observed using intestinal (Caco-2) and respiratory (Calu-3) epithelial cells as infection targets and was diminished or lost against SARS-CoV-2 variants of concern (VOC). Proteomic deconvolution of the serum antibody repertoire from two of the convalescent subjects identified, for the first time, NTD-binding, infection-enhancing mAbs among the circulating immunoglobulins directly isolated from serum ( i.e ., functionally secreted antibody). Functional analysis of these mAbs demonstrated robust activation of FcγRIIIa associated with antibody binding to recombinant S proteins. Taken together, these findings suggest functionally active NTD-specific mAbs arise frequently during natural infection and can last as major serum clonotypes during convalescence. These antibodies display diverse attributes that include FcγR activation, and may be selected against by mutations in NTD associated with SARS-CoV-2 VOC.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
BioRxiv
Ano de publicação:
2023
Tipo de documento:
Article