Oral paratuberculosis vaccine efficacy and mucosal immunity in cattle
Bibliographic record
Abstract
Mycobacterium avium subsp. paratuberculosis (MAP) primarily invades ruminants' small intestine via the Peyer's patches in the ileum and jejunum. Despite ongoing efforts to develop effective MAP vaccines, the effects of live-attenuated vaccines on mucosal immunity remain poorly understood. Previous studies indicate that the BacA oral vaccine confers localized protection against MAP in the ileum and ileocecal valve of calves, but not in the jejunum. This protection correlates with heightened levels of peripheral blood immune cells exhibiting pro-inflammatory and memory traits. This study aimed to evaluate immune responses induced by oral BacA vaccination in the ileum and jejunum Peyer's patches, comparing protection at both sites through mucosal immune cell profiling and RNA-seq transcriptome analyses. It represents the first exploration of mucosal immune responses in Peyer's patches following oral MAP vaccination. Oral BacA immunization increased CD4 + IFNγ+ and CD4 + TNFα+ cell frequencies, along with the T effector memory to T central memory cell ratio, in the ileum and jejunum of BacA-vaccinated animals challenged with wildtype MAP, compared to the infection control group challenged solely with wildtype MAP. Immune cells isolated from the ileum of vaccinated-challenged animals exhibited significant upregulation in IFNγ, IP-10, TNFα, IL-2, IL-15, and IL-17 expression upon restimulation compared to the uninfected control group, whereas minimal differences were observed in the jejunum under similar conditions. RNA-seq data further indicated a more robust host response in the ileum across all experimental groups. Gene ontology analyses revealed genes associated with increased phagocytic and apoptotic activities in the vaccinated-challenged group. Overall, the BacA oral vaccine's effectiveness appears to vary primarily due to differences in antigen-specific gene expression between the ileum and jejunum, with the ileum showing a more robust host response. Understanding these effects on young calves' mucosal immunity and how live vaccines modulate immune responses is crucial for advancing mucosal vaccine development against MAP.
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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 | 0.001 | 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".