Evidence that Epithelial Tight Junctions are Altered during <i>Edwardsiella</i> Infections
Bibliographic record
Abstract
Bacteria from the Edwardsiella genus can kill entire fish farms within days. These infections cause an array of phenotypic alterations to fish including petechial hemorrhage in the fins and skin, rectal hernia, abscesses deep within fish musculature and most strikingly, holes within (or the liquefaction of) the fish themselves. Intercellular junctions are crucial for maintaining tissue integrity, but are also common targets of bacterial pathogens. Because Edwardsiella causes alterations to various epithelia during their infectious processes, we hypothesized that tight junctions (TJs) might be targeted by these microbes. To test this hypothesis, we localized the claudin‐3 transmembrane tight junction protein in Caco‐2 cells during Edwardsiella infections and found that it was extensively re‐arranged. This work provides the first evidence of junctional alteration during Edwardsiella infections, and suggests a possible molecular modification that could lead to the observed phenotypes in diseased fish. Support or Funding Information Funded by NSERC Discovery Grant
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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 | 0.000 |
| 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".