Effects of foodborne Fusarium mycotoxins with and without a polymeric glucomannan mycotoxin adsorbent on food intake and nutrient digestibility, body weight, and physical and clinicopathologic variables of mature dogs
Bibliographic record
Abstract
OBJECTIVE: To investigate the effects of feeding cereal-based diets that are naturally contaminated with Fusarium mycotoxins to dogs and assess the efficacy of a polymeric glucomannan mycotoxin adsorbent (GMA) in prevention of Fusarium mycotoxicosis. ANIMALS: 12 mature female Beagles. PROCEDURES: Dogs received each of 3 cereal-based diets for 14 days. One diet was uncontaminated (control diet), and the other 2 contained contaminated grains; one of the contaminated diets also contained 0.2% GMA. Contaminants included deoxynivalenol, 15-acetyl deoxynivalenol, zearalenone, and fusaric acid. Food intake and nutrient digestibility, body weight, blood pressure, heart rate, and clinicopathologic variables of the dogs were assessed at intervals during the feeding periods. RESULTS: Food intake and body weight of dogs fed the contaminated diet without GMA were significantly decreased, compared with effects of the control diet. Reductions in blood pressure; heart rate; serum concentrations of total protein, globulin, and fibrinogen; and serum activities of alkaline phosphatase and amylase as well as increases in blood monocyte count and mean corpuscular volume were detected. Consumption of GMA did not ameliorate the effects of the Fusarium mycotoxins. For the GMA-contaminated diet, digestibility of carbohydrate, protein, and lipid was significantly higher than that associated with the control diet, possibly because of physiologic adaptation of the recipient dogs to reduced food intake. CONCLUSIONS AND CLINICAL RELEVANCE: Results indicated that consumption of grains naturally contaminated with Fusarium mycotoxins can adversely affect dogs' feeding behaviors and metabolism. As a food additive, GMA was not effective in prevention of Fusarium mycotoxicosis in dogs.
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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) | 0.000 | 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 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".