Recombinant Lactococcus lactis-based oral vaccine expressing non-toxic alpha toxin domains of Clostridium septicum can offer protection against Clostridial dermatitis in turkeys
Bibliographic record
Abstract
Clostridial dermatitis (CD), caused by the anaerobic spore-forming Clostridium septicum bacteria, is an important emerging disease of turkeys. Despite its economic burden on the poultry industry, there are no efficacious vaccines currently available for CD control in turkeys. We recently identified two non-toxic domains of C. septicum alpha toxin (ntATX), namely ntATX-D1 and ntATX-D2, and showed that subcutaneous immunization of turkeys with purified recombinant subunit ntATX proteins can offer protection against CD. In the present study, we used the pNZ8124-NICE vector®-based Lactococcus lactis (Str. NZ9000) cloning system to express ntATX-D1 and ntATX-D2 proteins, and immunized turkeys orally at 7, 8 and 9 weeks of age followed by a virulent C. septicum challenge at one-week post-last immunization. Results showed that while both ntATX-D1 and ntATX-D2 vectored-L. lactis vaccines could effectively prevent mortality, the ntATX-D2 carrying vaccine conferred significantly stronger protective immunity, as determined by the gross and histopathological evaluations. Additionally, the immunized birds were found to have antigen-specific serum IgY antibodies. Furthermore, the L. lactis-ntATX-D2 vaccinated turkeys had significantly reduced expression of pro-inflammatory cytokine (Interleukin-1β, IL-6 or Interferon-γ) genes in the skin, muscle, spleen and cecal tonsil tissues when compared to unvaccinated and C. septicum-challenged control group. Our findings show that a L. lactis-based oral recombinant vaccine expressing ntATX-D2 of C. septicum alpha-toxin can provide protective immunity against CD in turkeys, and thus providing a novel scope for devising probiotic-based oral vaccines against important Clostridial diseases 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) | 0.001 | 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".