The impact of epidermal growth factor supernatant on pig performance and ileal microbiota1
Bibliographic record
Abstract
Abstract Weaning of pigs can lead to low-feed intake resulting in a lag in growth performance, reduced gut health, and diarrheal diseases. Epidermal growth factor (EGF), the most abundant growth factor in milk, increased weaned pig BW gain and feed efficiency in our previous work. It is believed that intestinal microbiota plays an important role in gut health and pig growth, but limited data are available on the impact of feed additives, such as EGF, on the microbial communities of the intestines. The objective of the study was to investigate if the positive influence of EGF supplementation on weight gain and gut health was related to differences in intestinal microbiota. To examine the efficacy of EGF, a 21-d animal trial was performed using 72 pigs (two equal blocks of 36 pigs with three barrows and three gilts/pen). Pigs were assigned to one of two dietary treatments at weaning (20 ± 2 d of age; n = 6 pens/treatment) balancing across treatment for litter, gender, and initial BW. Recombinant yeast supernatant containing EGF at 120 μg/kg BW/d and without EGF (control) was added to the feed for 21 d, followed by a common diet for 7 d. Pig performance was measured weekly and ileal digesta was collected at day 21 from six pigs/treatment for microbiome analysis. Pigs fed diets containing EGF fermentation supernatant had greater (P = 0.01) daily gain in week 3 and overall resulting in heavier (P = 0.029) BW at day 28, which was consistent to our previous finding. No difference in alpha-diversity (Chao1, Shanon, and Simpson indices) and beta-diversity (weighted and unweighted UniFrac distances) of ileal digesta microbiota between EGF supplemented and control pigs were observed. The relative abundances of bacterial taxa did not differ among treatment groups at the phylum level. The relative abundances of Corynebacterium (0.0 vs. 0.9%), Blautia (0.003 vs. 0.26%), and Coprococcus (0.0 vs. 0.05%) genera, and Rumminococcaceae family (0.001 vs. 0.08%) were decreased (P < 0.05) in EGF group compared to control and were negatively correlated (P < 0.05, r > 0.60) with growth performance. Pathways related to detoxification and carbohydrate metabolism were differentially represented in the luminal bacterial populations. The improved growth of pigs supplemented with EGF supernatant produced by Pichia pastoris may be related to changes in functional capacity of the gut microbial populations. However, the impact on mucosa-associated or large intestinal communities is still unknown.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".