Maturation of germinal center B cells after influenza virus vaccination in humans.

Germinal centers (GC) are microanatomical lymphoid structures where affinity-matured memory B cells and long-lived bone marrow plasma cells are primarily generated. It is unclear how the maturation of B cells within the GC impacts the breadth and durability of B cell responses to influenza vaccination in humans. We used fine needle aspiration of draining lymph nodes to longitudinally track antigen-specific GC B cell responses to seasonal influenza vaccination. Antigen-specific GC B cells persisted for at least 13 wk after vaccination in two out of seven individuals. Monoclonal antibodies (mAbs) derived from persisting GC B cell clones exhibit enhanced binding affinity and breadth to influenza hemagglutinin (HA) antigens compared with related GC clonotypes isolated earlier in the response. Structural studies of early and late GC-derived mAbs from one clonal lineage in complex with H1 and H5 HAs revealed an altered binding footprint. Our study shows that inducing sustained GC reactions after influenza vaccination in humans supports the maturation of responding B cells.

Humoral correlates of protection against influenza A H3N2 virus infection.

BACKGROUND: Influenza virus remains a threat to human health, but gaps remain in our knowledge of the humoral correlates of protection against influenza virus A/H3N2, limiting our ability to generate effective, broadly protective vaccines. The role of antibodies against the hemagglutinin (HA) stalk, a highly conserved but immunologically sub-dominant region, has not been established for influenza virus A/H3N2. METHODS: Household transmission studies were conducted in Managua, Nicaragua across three influenza seasons. Household contacts were tested for influenza virus infection using RT-PCR. We compared pre-existing antibody levels against full-length hemagglutinin (FLHA), HA stalk, and neuraminidase (NA) measured by enzyme-linked immunosorbent assay (ELISA), along with HA inhibition assay (HAI) titers, between infected and uninfected participants. RESULTS: A total of 899 individuals participated in household activation, with 329 infections occurring. A four-fold increase in initial HA stalk titers was independently associated with an 18% decrease in the risk of infection (OR=0.82, 95%CI 0.68-0.98, p=0.04). In adults, anti-HA stalk antibodies were independently associated with protection (OR=0.72, 95%CI 0.54-0.95, p=0.02). However, in 0-14-year-olds, anti-NA antibodies (OR=0.67, 95%CI 0.53-0.85, p<0.01) were associated with protection against infection, but anti-HA stalk antibodies were not. CONCLUSIONS: The HA stalk is an independent correlate of protection against A/H3N2 infection, though this association is age dependent. Our results support the continued exploration of the HA stalk as a target for broadly protective influenza vaccines but suggest that the relative benefits may depend on age and influenza virus exposure history.

Determinants of health as predictors for differential antibody responses following SARS-CoV-2 primary and booster vaccination in an at-risk, longitudinal cohort.

Post vaccine immunity following COVID-19 mRNA vaccination may be driven by extrinsic, or controllable and intrinsic, or inherent health factors. Thus, we investigated the effects of extrinsic and intrinsic on the peak antibody response following COVID-19 primary vaccination and on the trajectory of peak antibody magnitude and durability over time. Participants in a longitudinal cohort attended visits every 3 months for up to 2 years following enrollment. At baseline, participants provided information on their demographics, recreational behaviors, and comorbid health conditions which guided our model selection process. Blood samples were collected for serum processing and spike antibody testing at each visit. Cross-sectional and longitudinal models (linear-mixed effects models) were generated to assess the relationship between selected intrinsic and extrinsic health factors on peak antibody following vaccination and to determine the influence of these predictors on antibody over time. Following cross-sectional analysis, we observed higher peak antibody titers after primary vaccination in females, those who reported recreational drug use, younger age, and prior COVID-19 history. Following booster vaccination, females and Hispanics had higher peak titers after the 3rd and 4th doses, respectively. Longitudinal models demonstrated that Moderna mRNA-1273 recipients, females, and those previously vaccinated had increased peak titers over time. Moreover, drug users and half-dose Moderna mRNA-1273 recipients had higher peak antibody titers over time following the first booster, while no predictive factors significantly affected post-second booster antibody responses. Overall, both intrinsic and extrinsic health factors play a significant role in shaping humoral immunogenicity after initial vaccination and the first booster. The absence of predictive factors for second booster immunogenicity suggests a more robust and consistent immune response after the second booster vaccine administration.

SARS-CoV-2 BA.1 and BA.2 breakthrough infections boost antibody responses to early Omicron subvariants but not BQ.1.1 or XBB.1.5.

Subvariants of the Omicron lineage of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) efficiently escape neutralizing antibody responses induced by both vaccination and infection with antigenically distinct variants. Here, we describe the potency and breadth of neutralizing and binding antibody responses against a large panel of variants following an Omicron BA.1 or BA.2 breakthrough infection in a heterogeneous cohort of individuals with diverse exposure histories. Both BA.1 and BA.2 breakthrough infections significantly boost antibody levels and broaden antibody reactivity. However, this broader immunity induced by BA.1 and BA.2 breakthrough infections does not neutralize Omicron BQ and XBB subvariants efficiently. While these subvariants are not neutralized well by post-breakthrough sera, suggesting escape, binding non-neutralizing antibody responses are sustained. In summary, our data suggest that while BA.1 and BA.2 breakthrough infections broaden the immune response to SARS-CoV-2 spike, the induced neutralizing antibody response is still outpaced by viral evolution.

Immunity to Seasonal Coronavirus Spike Proteins Does Not Protect from SARS-CoV-2 Challenge in a Mouse Model but Has No Detrimental Effect on Protection Mediated by COVID-19 mRNA Vaccination.

Seasonal coronaviruses have been circulating widely in the human population for many years. With increasing age, humans are more likely to have been exposed to these viruses and to have developed immunity against them. It has been hypothesized that this immunity to seasonal coronaviruses may provide partial protection against infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and it has also been shown that coronavirus disease 2019 (COVID-19) vaccination induces a back-boosting effects against the spike proteins of seasonal betacoronaviruses. In this study, we tested if immunity to the seasonal coronavirus spikes from OC43, HKU1, 229E, or NL63 would confer protection against SARS-CoV-2 challenge in a mouse model, and whether pre-existing immunity against these spikes would weaken the protection afforded by mRNA COVID-19 vaccination. We found that mice vaccinated with the seasonal coronavirus spike proteins had no increased protection compared to the negative controls. While a negligible back-boosting effect against betacoronavirus spike proteins was observed after SARS-CoV-2 infection, there was no negative original antigenic sin-like effect on the immune response and protection induced by SARS-CoV-2 mRNA vaccination in animals with pre-existing immunity to seasonal coronavirus spike proteins. IMPORTANCE The impact that immunity against seasonal coronaviruses has on both susceptibility to SARS-CoV-2 infection as well as on COVID-19 vaccination is unclear. This study provides insights into both questions in a mouse model of SARS-CoV-2.