<i>Eimeria</i> infection-related intestinal dynamics and microbiome, growth performance, and nutrient utilization in broiler chickens fed diets supplemented with multienzyme
Bibliographic record
Abstract
Coccidiosis is an infectious parasitic disease. Increasing drug resistance and variable vaccine effectiveness have stimulated interests in developing alternate control strategies. Our research studied the effects of dietary supplementation of multienzyme (phytase, xylanase, β-glucanase, amylase, hemicellulase, and pectinase) in broiler chickens infected with coccidial pathogens by assessing ( i) nutrient utilization, immunological response, and gut health-related indicators in small intestine; and ( ii) intestinal microbiome modulations. One-day-old male Ross 708 chicks were assigned to 4 treatments in a 2 × 2 factorial arrangement comprising of 0 or 50 g·kg−1 multienzyme and oral challenge with phosphate buffer saline or mixed Eimeria spp. oocysts (250 000 E. acervulina, 50 000 E. maxima, and 50 000 E. tenella). Multienzyme reduced ( P < 0.05) Eimeria-induced loss in feed efficiency and nutrient utilization, partially explained by reduced decrease of b0,+ amino acid transporter in jejunum. Multienzyme suppressed ( P < 0.05) the overexpression of interleukin-8 in duodenum and jejunum and ameliorated ( P = 0.05) the decreased expression of antioxidant heme oxygenase 1 in ileum induced by Eimeria infection. Multienzyme facilitated ( P < 0.01) the bloom of short-chain fatty acid-producing and fiber-degrading microbes. Multienzyme supplementation partly mitigated the adverse effects of Eimeria infection through multiple mechanisms: improving nutrient utilization, reducing local inflammation, and restoring microbial homeostasis.
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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".