Adherent-invasive<i>Escherichia coli</i>target the epithelial barrier
Bibliographic record
Abstract
Involvement of intestinal microbes in the pathogenesis of chronic inflammatory bowel diseases (IBD, including Crohn disease and ulcerative colitis) is well established. However, the mechanisms by which bacteria lead to intestinal injury in IBD remain unclear and are the focus of current research. Using adherent-invasive Escherichia coli (AIEC) strain LF82, which is linked to Crohn disease, we recently demonstrated the ability of these intestinal microbes to disrupt the integrity of epithelial cells in an in vitro cell model. This disruption provides the bacteria a capacity to penetrate into and beyond the epithelial monolayer, replicate in cells, disseminate within the host, and induce a chronic immune response. These findings provide a link between microbes related to IBD, disruption of the intestinal epithelial cell barrier, and disease pathogenesis.In this addendum, we provide a synopsis on current data concerning the role of AIEC in the pathogenesis of intestinal inflammation, summarise our recent findings, and highlight the central role of the epithelium in mucosal defence. We also discuss, in more detail, the potential implications of our findings and present ideas for future studies and targets for intervention.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".