Correlation between cyclical epithelial barrier dysfunction and bacterial translocation in the relapses of intestinal inflammation
Bibliographic record
Abstract
BACKGROUND: Although several factors have been implicated in the pathogenesis of inflammatory bowel disease (IBD), the mechanisms underlying the recurrent relapses have not yet been clarified. We hypothesized that epithelial barrier dysfunction, associated with intestinal motor disturbances, could play a key role in exacerbation of inflammatory illness due to an increased uptake of luminal antigen and bacterial translocation. METHODS: Indomethacin administration to rats induced a long-lasting oscillation of active and quiescent phases of inflammation associated with phases of hypo and hypermotility. Rats selected at either active or quiescent phase and from 2 to 60 days after indomethacin treatment were used. Short-circuit current; conductance and HRP flux were evaluated in small intestinal segments mounted in Ussing Chambers. Enterocyte endosomes containing HRP and ultrastructural damage were assessed by electron microscopy. Bacterial translocation was determined by cultures from mesenteric lymph nodes. RESULTS: Rats with induced enteritis in both phases demonstrated a long-lasting increase of epithelial paracellular permeability. In contrast, transcellular permeability was only disturbed during the active phases, coinciding with bacterial translocation and the increase in inflammatory parameters. Furthermore, although mithochondrial damage was observed throughout the inflammatory state, alterations were worse during the active phase. CONCLUSIONS: The sustained enhancement of paracellular permeability could facilitate the constant passage of luminal antigens through the mucosa, and hence, be the basis for chronicity. By contrast, transcellular permeability only increases during the active phases, when hypomotility and bacterial translocation are also present, suggesting this factor may play a critical role in the course of acute relapses in IBD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".