Lining the small intestine with mycobacteriophages protects from <i>Mycobacterium avium</i> subsp. <i>paratuberculosis</i> and eliminates fecal shedding
Bibliographic record
Abstract
(MAP), affects wild and domestic ruminants. There is no cure or effective prevention, and current vaccines have substantial limitations, leaving this disease widespread in all substantial dairy industries causing economic, and animal welfare implications. Mycobacteriophages (MPs) have been gaining interest in recent years and are proposed as a promising solution to curtailing MAP infection. Using a well-validated infection model, we have demonstrated the preventative potential of MPs to protect dairy calves against MAP infection. Calves were supplemented daily with a phage cocktail from birth till weaning at 2 m of age and inoculated with MAP at 2 wk of age. Infection status was measured for 4.5 mo through blood, fecal, and postmortem tissue samples. Our findings highlight the remarkable efficacy of orally administered MPs. Notably, fecal shedding of MAP was entirely eliminated within 10 wk, in contrast to the infected control group where shedding continued for the entirety of the trial period. Postmortem tissue culture analysis further supported the effectiveness of MPs, with only 1 out of 6 animals in the phage-treated group testing positive for MAP colonized tissues compared to 6 out of 6 animals in the infected control group. Additionally, plaque assay results demonstrated the ability of phages to persist within the intestinal tract. Collectively, these results underscore the potential of orally administered MP cocktails as a highly effective intervention strategy to combat JD in dairy calves and by extension in the dairy industry.
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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".