High-affinity, neutralizing antibodies to SARS-CoV-2 can be made without T follicular helper cells.
Jennifer S ChenRyan D ChowEric SongTianyang MaoBenjamin IsraelowKathy KamathJoel BozekowskiWinston A HaynesRenata B FillerBridget L MenaschéJin WeiMia Madel AlfajaroWenzhi SongLei PengLauren CarterJason S WeinsteinUthaman GowthamanSidi ChenJoseph E CraftJohn C ShonAkiko IwasakCraig B WilenStephanie C EisenbarthPublished in: Science immunology (2022)
T follicular helper (T FH ) cells are the conventional drivers of protective, germinal center (GC)–based antiviral antibody responses. However, loss of T FH cells and GCs has been observed in patients with severe COVID-19. As T cell–B cell interactions and immunoglobulin class switching still occur in these patients, noncanonical pathways of antibody production may be operative during SARS-CoV-2 infection. We found that both T FH -dependent and -independent antibodies were induced against SARS-CoV-2 infection, SARS-CoV-2 vaccination, and influenza A virus infection. Although T FH -independent antibodies to SARS-CoV-2 had evidence of reduced somatic hypermutation, they were still high affinity, durable, and reactive against diverse spike-derived epitopes and were capable of neutralizing both homologous SARS-CoV-2 and the B.1.351 (beta) variant of concern. We found by epitope mapping and B cell receptor sequencing that T FH cells focused the B cell response, and therefore, in the absence of T FH cells, a more diverse clonal repertoire was maintained. These data support an alternative pathway for the induction of B cell responses during viral infection that enables effective, neutralizing antibody production to complement traditional GC-derived antibodies that might compensate for GCs damaged by viral inflammation.
Keyphrases
- sars cov
- induced apoptosis
- cell cycle arrest
- respiratory syndrome coronavirus
- oxidative stress
- end stage renal disease
- cell death
- chronic kidney disease
- coronavirus disease
- dna damage
- dengue virus
- signaling pathway
- dna methylation
- newly diagnosed
- early onset
- artificial intelligence
- zika virus
- genome wide
- endothelial cells
- big data
- stress induced