A Bivalent Live Attenuated Influenza Virus Vaccine Protects against Drifted H1N2 and H3N2 Clinical Isolates in Swine
Bibliographic record
Abstract
Influenza A viruses (IAVs) can cause a highly contagious respiratory disease for many mammalian species. In pigs, IAVs cause high morbidity and low mortality disease in susceptible populations that can have significant financial and production impacts. They can also present opportunities for mutations and gene reassortment, producing influenza strains with pandemic potential. Therefore, it is very important to prevent and control influenza infection in pigs, and the chief way to do so is through vaccination. The subtypes of IAV most prevalent in swine across the world are H1N1, H1N2, and H3N2; however, genetic diversity of these viruses can vary greatly by region. We previously developed an elastase-dependent bivalent live attenuated vaccine using two Canadian swine influenza A virus (swIAV) isolates, A/Swine/Alberta/SD0191/2016 (H1N2) [SD191] and A/Swine/Saskatchewan/SD0069/2015 (H3N2) [SD69], which provided protection against homologous strains. In this study, we demonstrate that this vaccine extends protection in pigs to more current, drifted non-homologous H1N2 and H3N2 strains, A/Swine/MB/SD0467/2019 (H1N2) [SD467] and A/Swine/AB/SD0435/2019 (H3N2) [SD435]. The vaccine elicited a robust immune response in the serum and the lung and reduced viral replication as well as lung pathology associated with these strains. Therefore, this bivalent vaccine remains a strong candidate that would be beneficial to the swine influenza vaccine market in North America.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".