Dietary fiber alleviates intestinal barrier dysfunction in post-trauma rats
Bibliographic record
Abstract
BACKGROUND: Damage to the intestinal barrier often occurs following severe trauma. It has been reported that enteral nutrition with dietary fiber (DF) could mitigate impairment of the intestinal barrier and might therefore be effective in clinical application; however, the conclusions from existing trials are controversial and the nature of the protective mechanism is far from clear. This study investigated the protective mechanism of dietary fiber on intestinal barrier in rats under bilateral closed femur fracture. METHODS: Twenty-four Sprague-Dawley rats were divided into four groups: normal control without any manipulation, trauma control with normal feeding, DF and dietary fiber-free (NF) groups fed with Nutrison Fibre and Nutrison, respectively. The later two groups were further divided into 1, 4, 7 and 10 days post-trauma groups. RESULTS: The trauma caused body weight decline, promoted bacterial translocation, and decreased immune function. The levels of portal vein endoxin in DF group was significantly lower than in NF group (p=0.013). Levers of both serum TNF-alpha and IL-6 on post-trauma day 10 showed no statistical differences between DF and NF groups. The incidence of bacterial translocation recovered to normal in DF group. Only secreted immunoglobulin a (sIgA) levels in DF group was higher than in NF group (p=0.005). CONCLUSION: Early enteral nutrition with dietary fiber could alleviate damage to intestinal barrier function and decreased the incidence of bacterial translocation caused by trauma and endotoxemia in rats under extra-abdominal trauma.
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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) | 0.000 | 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".