An mRNA-based seasonal influenza vaccine in adults: Results of two phase 3 randomized clinical trials and correlate of protection analysis of hemagglutination inhibition titers
Bibliographic record
Abstract
The safety, immunogenicity, and efficacy of the original formulation of the investigational mRNA-1010 vaccine for seasonal influenza were investigated in two randomized, active-controlled, phase 3 trials in adults (NCT05415462 and NCT05566639), and the results were used to evaluate hemagglutination inhibition (HAI) titers as correlates of risk and protection against influenza-like illness. mRNA-1010 (50-µg) demonstrated an acceptable reactogenicity and safety profile among the >14,000 adult participants vaccinated in both trials. The efficacy profile of mRNA-1010 was generally reflective of immunogenicity findings, with higher immune responses against influenza A strains and lower responses against influenza B strains relative to an active comparator (licensed inactivated influenza vaccine). An analysis of HAI titers as a correlate of protection against influenza infection provided support for its use as a surrogate endpoint for mRNA-1010, similar to licensed influenza vaccines. These findings support further optimization and development of mRNA-1010 against seasonal influenza.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".