An mRNA vaccine provides effective protection against Duck Tembusu Virus infection
Bibliographic record
Abstract
As an emerging flavivirus, Duck Tembusu virus (DTMUV) causes severe neurological disorder and acute egg drop syndrome in poultry. Herein, we report the development of a highly effective mRNA vaccine against DTMUV using lipid nanoparticle (LNP) delivery technology. We engineered an mRNA construct encoding the pre-membrane (prM) and envelope (E) proteins of DTMUV, with an upstream signal peptide to enhance secretion. Two doses of our mRNA vaccine elicited robust neutralizing antibody titers and conferred 100% protection against challenge with a prevalent virulent DTMUV strain. Notably, in a head-to-head comparison, the neutralizing antibody titers induced by our mRNA vaccine were approximately 40-fold of a commercial live-attenuated vaccine (FX2010-180P). Importantly, our mRNA vaccine demonstrated efficient maternal antibody transfer via egg yolk deposition, indicating the potential for protecting offspring through maternal immunity. These findings demonstrate the superiority of our mRNA vaccine platform, as well as the feasibility of applying mRNA vaccines in poultry.
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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".