Attaching and effacing pathogen-induced tight junction disruption in vivo
Bibliographic record
Abstract
Diarrhoea is a hallmark of infections by the human attaching and effacing (A/E) pathogens, enterohaemorrhagic Escherichia coli (EHEC) and enteropathogenic E. coli (EPEC). Although the mechanisms underlying diarrhoea induced by these pathogens remain unknown, cell culture results have suggested that these pathogens may target tight junctions. Tight junctions in the colon function as physical intercellular barriers that separate and prevent mixing of the luminal contents with adlumenal regions of the epithelium. Consequently, it is thought that the disruption of intestinal epithelial tight junctions by A/E pathogens could result in a loss of barrier function in the alimentary tract; however, this remains unexamined. Here we demonstrate for the first time that A/E pathogen infection results in the morphological alteration of tight junctions during natural disease. Tight junction alteration, characterized by relocalization of the transmembrane tight junction proteins claudin 1, 3 and 5, is a functional disruption; molecular tracers, which do not normally penetrate uninfected epithelia, pass across pathogen-infected epithelia. Functional junction disruption occurs with a concomitant increase in colon luminal water content. The effects on tissue are dependent upon the bacterial type III effector EspF (E. coli secreted protein F), because bacteria lacking EspF, while able to colonize, are defective for junction disruption and result in decreased proportions of water in the colon compared with wild-type infection. These results suggest that the diarrhoea induced by A/E pathogens occurs as part of functional tight junction disruption.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".