Back

Memory B cells dominate the early antibody-secreting cell response to SARS-CoV-2 mRNA vaccination in naive individuals independently of their antibody affinity

Li, Z.; Obraztsova, A.; Shang, F.; Oludada, O. E.; Malapit, J.; Busch, K.; van Straaten, M.; Stebbins, E.; Murugan, R.; Wardemann, H.

2023-12-03 immunology
10.1101/2023.12.01.569639 bioRxiv
Show abstract

Memory B cells (MBCs) formed over the individuals lifetime constitute nearly half of the adult peripheral blood B cell repertoire in humans. To assess their response to novel antigens, we tracked the origin and followed the differentiation paths of MBCs in the early anti-S response to mRNA vaccination in SARS-CoV-2-naive individuals on single-cell and monoclonal antibody level. Newly generated and pre-existing MBCs differed in their differentiation paths despite similar levels of SARS-CoV-2 and common corona virus S-reactivity. Pre-existing highly mutated MBCs showed no signs of germinal center re-entry and rapidly developed into mature antibody secreting cells (ASCs). In contrast, newly generated MBCs derived from naive precursors showed strong signs of antibody affinity maturation before differentiating into ASCs. Thus, although pre-existing human MBCs have an intrinsic propensity to differentiate into ASCs, the quality of the anti-S antibody and MBC response improved through the clonal selection and affinity maturation of naive precursors. HighlightsO_LImRNA vaccination of SARS-CoV-2 naive individuals recruits naive and pre-existing MBCs with similar levels of S-reactivity into the response C_LIO_LIS-reactive naive but not pre-existing MBCs undergo affinity maturation C_LIO_LIS-reactive pre-existing MBCs dominate the early ASC response independent of their antigen affinity C_LIO_LIHigh-affinity S-reactive MBCs and ASCs develop over time and originate from affinity matured naive precursors C_LI

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.