Back

Local B-cell immunity and durable memory following live-attenuated influenza intranasal vaccination of humans

Stacey, H. D.; Garin-Ortega, L.; Lopez, P. G.; Ramezani-Rad, P.; Ramierz, S. I.; Faraji, F.; Bhavsar, D.; Levi, G.; Krammer, F.; Crotty, S.

2025-07-18 immunology
10.1101/2025.07.14.664794 bioRxiv
Show abstract

Seasonal influenza vaccines are most frequently delivered as intramuscular inactivated vaccines which elicit systemic responses against the immunodominant hemagglutinin (HA) head domain. An intranasally administered, live-attenuated influenza vaccine designed to stimulate mucosal immunity, FluMist, is the sole intranasal vaccine approved in the United States. However, FluMist has lower systemic immunogenicity and efficacy in adults compared to intramuscular formulations. In this study, human mucosal and systemic immunity were examined following seasonal intramuscular or intranasal vaccination. Nasopharyngeal swabs of adenoid tissue were used to longitudinally sample the upper airway. Notably, FluMist induced substantial increases in upper respiratory tract IgG+ and IgA+ HA-specific memory B cells, which displayed an activated CD27+CD21- phenotype. H1, H3, and influenza B virus HA-specific memory B cells were all detected in the upper airway after intranasal immunization and remained elevated at 6-months post-vaccination. Recently activated upper airway memory B cells were not readily detected in intramuscular vaccinees, despite marked elevation of systemic antibody and memory B cells. Thus, despite minimal immune response detected in circulation, live-attenuated influenza vaccine can generate substantial local antigen-specific memory B cell responses in adults. These findings have implications for improving influenza vaccines and for mucosal vaccination against other respiratory pathogens. One Sentence SummaryLongitudinal nasopharyngeal sampling reveals local influenza-specific B cell responses following intranasal but not intramuscular vaccination.

Matching journals

The top 7 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.