The Effects of Dietary Supplementation of Chestnut Tannic Acid on the Growth Performance, Gut Morphology and Microbiota of Weaned Piglets
Bibliographic record
Abstract
Background/Objectives: This study investigated the effects of chestnut tannic acid (TA) on the growth performance, the expression of tight junction proteins and the composition of the gut microbiota of weaned piglets, which could provide novel insights into the application of TA in swine production. Methods: In a 42-day trial, 180 healthy, 21-day-old Duroc × Landrace × Yorkshire piglets were randomly assigned to a Control group and four treatment groups (TA1–4), fed commercial diets supplemented with 0, 0.06%, 0.12%, 0.18% or 0.24% TA. Each group had six replicates of six pigs each. Results: The average daily gain in all TA groups, the jejunal and ileal villus height and the villus height-to-crypt depth ratio in the TA3 and TA4 groups were markedly increased (p < 0.05). The mRNA levels of MUC2 and ZO-1 were upregulated in the TA3 group, as were those of MUC4 in the jejunum and ileum and claudin in the duodenum and ileum; glutathione peroxidase and total antioxidant capacity were upregulated in the duodenum and jejunum in the TA3 group, and total superoxide dismutase was increased in all the TA2 groups (p < 0.05). Conversely, the malondialdehyde significantly decreased in all the TA groups (p < 0.05). TA supplementation improved the alpha diversity of the intestinal microflora and augmented probiotic abundance while reducing that of pathogenic bacteria. The contents of acetic, isobutyric, valeric, isovaleric, hexanoic and propionic acids, as well as total short-chain fatty acids (SCFA), were higher in the TA2 and TA3 groups (p < 0.05). Conclusions: TA inclusion in piglet diets improved the intestinal environment by upregulating the antioxidant enzymes, improving intestinal morphology and promoting probiotic growth and SCFA production while reducing pathogenic bacterial abundance, consequently enhancing the gut barrier and the growth of weaned piglets.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".