Oral Administration of <i>Lactobacillus fermentum</i> I5007 Favors Intestinal Development and Alters the Intestinal Microbiota in Formula-Fed Piglets
Bibliographic record
Abstract
The present study was conducted to evaluate the effects of early administration of Lactobacillus fermentum I5007 on intestinal development and microbial composition in the gastrointestinal tract using a neonatal piglet model. Full-term 4 day old piglets, fed with milk replacer, were divided into a control group (given placebo of 0.1% peptone water) and a L. fermentum I5007 group (dosed daily with 6 × 10(9) CFU/mL L. fermentum I5007). The experiment lasted 14 days. On day 14, a significant increase in the jejunum villous height (583 ± 33 vs 526 ± 18) and increases in the concentrations of butyrate (7.55 ± 0.55 vs 5.33 ± 0.39) and branched chain fatty acids in the colonic digesta were observed in piglets in the L. fermentum I5007 treatment (P < 0.05). mRNA expression of IL-1β (1.29 ± 0.29 vs. 0.62 ± 0.07) in the ileum were lower after 14 days of treatment with L. fermentum I5007. Denaturing gradient gel electrophoresis (DGGE) revealed that L. fermentum I5007 affected the colonic microbial communities on day 14 and, in particular, reduced numbers of Clostridium sp. L. fermentum I5007 play a positive role in gut development in neonatal piglets by modulating microbial composition, intestinal development, and immune status. L. fermentum I5007 may be useful as a probiotic for application in neonatal 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".