SARS-CoV-2 animal vaccine with cross-protection against Wuhan strain and delta variant
Bibliographic record
Abstract
The increasing number of reverse zoonotic transmission cases, in which pathogens are transmitted from humans to companion animals, has raised substantial concerns in both veterinary and public health fields. The emergence of novel viral strains through interspecies transmission poses a potential threat to the health of animals and humans. In response to the growing incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in companion animals, a SARS-CoV-2 vaccine candidate was developed and evaluated for use in these species to mitigate the risks associated with viral transmission. The Delta variant (B.1.617.2) of SARS-CoV-2 emerged as one of the most concerning variants during the COVID-19 pandemic due to its heightened transmissibility, increased pathogenicity, and partial immune evasion. In this study, a subunit vaccine candidate composed of the spike (S) and receptor-binding domain (RBD) proteins of the Wuhan strain was developed, and its cross-protective efficacy against both the Wuhan strain and the Delta variant was assessed. To evaluate vaccine efficacy and safety, experimental infection studies were conducted in beagles, and a field clinical trial was performed in companion animals. The results demonstrated that the vaccine induced a robust immune response while maintaining an acceptable safety profile. Vaccinated animals exhibited high levels of neutralizing antibodies, significant inhibition of viral shedding and marked alleviation of clinical symptoms during experimental challenge with the Delta variant. The development of a SARS-CoV-2 vaccine candidate for companion animals represents a proactive 'One Health' strategy to limit viral transmission and ensure both animal and human health during pandemic events.
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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".