Short Communication: Antioxidant capacity in the intestinal mucosa of weanling piglets fed diets containing Fusarium mycotoxins and the efficacy of commercial supplements sold as detoxifiers
Bibliographic record
Abstract
Le Thanh, B. V., Lessard, M., Chorfi, Y. and Guay, F. 2015. Short Communication: Antioxidant capacity in the intestinal mucosa of weanling piglets fed diets containing Fusarium mycotoxins and the efficacy of commercial supplements sold as detoxifiers. Can. J. Anim. Sci. 95: 569-575. The ability of commercial feed additives to prevent oxidative damage due to deoxynivalenol (DON) in piglets was studied. Sixty piglets (6.0±0.5 kg) were assigned randomly to six wheat-corn-soybean diets: control (<0.5 mg kg-1 DON), DON-rich diet (4 mg kg-1 DON), and four DON-rich diets supplemented with either glucomannan (DON+GLUC), yeast, live bacteria, enzymes and plant extract (DON+YBP), aluminosilicate (DON+ALS), or a mixture of preservatives (DON+PV). Malondialdehyde concentration (MDA), glutathione peroxidase activity (GPx), catalase activity (CAT) and superoxide dismutase activity (SOD) in the small intestine were measured after 14 d. The DON-rich diet increased MDA in the jejunum while decreasing CAT in the jejunum and SOD in the ileum and increasing GPx in the ileum (P<0.05). The DON+GLUC diet decreased GPx and SOD (P<0.05) and tended to decrease MDA in the jejunum (P<0.10). The DON+YBP, DON+PV and DON+ALS diets all decreased CAT in the jejunum, while DON+YBP and DON+PV also did so in the ileum (P<0.05). DON+GLUC decreased SOD in the jejunum, while DON+YBP increased it (P<0.05). In the ileum, DON+PV decreased SOD, while DON+ALS increased GPx (P<0.05). No significant differences in total antioxidant capacity (TAC) in intestinal tissues were found. This study demonstrates that the mycotoxin DON and anti-mycotoxin additives modify oxidative status, including the antioxidant enzyme activities (CAT, SOD or GPx) in the intestinal mucosa of piglets. However, it was not possible to identify a specific antioxidant enzyme involved in counteracting the effect of DON.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".