1976 and 2009 H1N1 Influenza Virus Vaccines Boost Anti-Hemagglutinin Stalk Antibodies in Humans
Bibliographic record
Abstract
BACKGROUND: Infection with pandemic H1N1 influenza A viruses (IAVs) containing hemagglutinin (HA) proteins with globular heads that differ substantially from seasonal strains results in a boost in broadly cross-reactive antibodies that bind to the HA stalk. Boosting these antibodies has become an attractive strategy for creating a universal IAV vaccine. Therefore, it was essential to determine whether vaccines containing H1N1 viruses whose head domains differ substantially compared to seasonal strains could also achieve this boost. METHODS: Prospective samples of subjects who had received the A/New Jersey/1976 (NJ/76) vaccine and healthy, age-matched controls were assessed for the presence of anti-HA stalk antibodies before and after receiving the A/California/04/2009 (Cal/09) vaccine between October 2009 and January 2010. RESULTS: Individuals who received either the NJ/76 vaccine or the Cal/09 vaccine experienced a robust boost in HA stalk-reactive, neutralizing antibodies similar to what has been observed in individuals infected with Cal/09. CONCLUSIONS: These results demonstrate that vaccines containing viruses whose HA head domains that differ substantially from seasonal strains are capable of boosting titers of HA stalk antibodies. Furthermore, anti-HA stalk antibodies elicited by vaccination appear to be long-lived and therefore could be targeted for the generation of a universal IAV vaccine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".