Dairy cows develop protective immunity against reinfection with bovine H5N1 influenza virus
Bibliographic record
Abstract
Infection of highly pathogenic avian influenza (HPAI) H5N1 clade 2.3.4.4b in dairy cows causes severe mastitis and milk production losses. Whether cows can develop protective immunity is unclear. Here we infected three lactating cows with HPAI H5N1 genotype B3.13 via the hindquarters of the udder to mimic intra-mammary infection. Inoculated cows displayed clinical responses consistent with affected dairy herds in the United States including virus shedding almost exclusively in inoculated hindquarters that peaked between Days 2-4 post inoculation and gradually declined by Day 21. Histologically, peak virus shedding in milk corresponded with severe acute necrotic mastitis in the inoculated hindquarters but not in the uninoculated forequarters. Two cows were reinfected with HPAI H5N1 virus at unaffected forequarters following resolution of infection. Secondary inoculation did not result in clinical manifestations or virus shedding in milk. Virus-neutralizing antibodies were detected at Day 14 post inoculation in milk with higher titres observed in the inoculated hindquarters relative to the forequarters. We also detected HPAI H5N1 viral RNA in air samples from animal rooms during routine husbandry activity. These data indicate that primary infection via intra-mammary inoculation can generate protective immunity against bovine HPAI H5N1 virus in dairy cows.
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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 | 0.000 |
| 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".