Efficacy of an oral recombinant attennated Salmonella vaccine encoding <i>cjaA</i> in turkeys colonized with <i>Campylobacter jejuni</i>
Bibliographic record
Abstract
Abstract Campylobacter jejuni spp. jejuni, (C. jejuni) is a commensal bacterium in the lower gastrointestinal tract of poultry (e.g., chickens and turkeys), where it causes no clinical disease. Consumption of C. jejuni-contaminated poultry products is the most likely route of transmission to humans. Strategies previously attempted in chickens to reduce intestinal C. jejuni colonization include administration of probiotics, non-antibiotic feed additives, vaccines and bacteriophages. These interventions have not been evaluated in turkeys. Recombinant attenuated Salmonella vaccines (RASV) encoding C. jejuni cjaA are reported to reduce cecal C. jejuni colonization in chickens. The goal of this study was to evaluate the efficacy of a RASV encoding cjaA in turkey poults experimentally colonized with C. jejuni. The cjaA gene from C. jejuni was cloned into RASV strain χ8133 (RASV-cjaA). A control RASV χ8133 (RASV-control) was generated lacking a cjaA insert. At different dates of age, poults received either one or two doses of RASV-cjaA. Other poults received 2 doses of RASV-control. Intestinal colonization by RASV-cjaA was evaluated and was detectable up to 6 days after oral inoculation. Poults were orally challenged with C. jejuni and euthanized at days 3, 7, 14 and 28 days post-challenge to evaluate cecal colonization (cfu/g content) and histopathological changes. Poults vaccinated with 2 doses of RASV-cjaA showed significant reduction (P<0.01) in C. jejuni cecal colonization and histopathological lesion scoring, as compared to those receiving a single dose of RASV-cjaA or RASV-control. These data demonstrate that oral RASV-cjaA significantly reduced C. jejuni colonization in turkeys, which may enhance food safety.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".