Gut microbiome analysis in piglet models infected with Escherchia coli K88: the role of charcoal and dietary crude protein supplemented with probiotic Escherchia coli strains UM2 and UM7.
Bibliographic record
Abstract
Entrotoxigenic Escherichia coli (ETEC) K88 is a causative agent of post-weaning diarrhea (PWD) in early-weaned pigs. This study investigated the efficacy of two alternative diets, charcoal (0.1, 0.5, 1, and 2%) and a low crude protein (CP) diet (17%) supplemented with probiotic E. coli strains (UM2 and UM7), against PWD infection in ETEC K88 challenged piglets. The present study found that charcoal had no effect on the challenged piglets’ performance, ileal and colonic microbiota or their fermentation end products. There was, however, a correlation between charcoal dosage and fecal consistency score. Charcoal reduced the ileal mucosal attached ETEC K88. Feeding a low-CP diet resulted in a lower ileal ammonia concentration. The low-CP diet reduced the E. coli populations in the ileal digesta as well as lowered mRNA expression of the IL-1ß. We concluded that the use of both 1-2% charcoal diet and a low-CP diet supplemented with probiotic E. coli strains were effective in reducing the incidence and severity of PWD infection.
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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".