Mycobacterium avium subspecies paratuberculosis triggers intestinal pathophysiologic changes in beige/scid mice.
Bibliographic record
Abstract
We investigated whether infection of beige/scid mice with Mycobacterium avium subspecies paratuberculosis can induce intestinal pathophysiologic changes. Six-week-old beige/scid mice were inoculated intraperitoneally with M. paratuberculosis, then were killed 32 weeks after inoculation when the small intestine was evaluated for physiologic and morphologic abnormalities. All infected mice developed clinical disease. The lamina propria of the intestine from infected mice was mildly infiltrated with mononuclear cells containing acid-fast bacteria, and had significantly increased villus width. In vitro physiologic studies in Ussing chambers indicated that M. paratuberculosis infection caused significant abnormalities in intestinal transport parameters. Baseline short circuit current and potential difference were abnormally high in tissues from infected, compared with control mice, indicative of increased ion secretion. Baseline conductance was significantly decreased in infected mice, suggesting that intestinal tissue from infected mice was less permeable to ions. The change in short circuit current following transmural electrical and glucose stimulation was significantly reduced in intestines from infected mice, suggesting that inflamed intestine had neural and/or epithelial cell damage. We conclude that infection of beige/scid mice with M. paratuberculosis triggers significant intestinal pathophysiologic changes consistent with chronic inflammation. These functional abnormalities may contribute to the pathogenesis of the wasting syndrome seen in bovids with paratuberculosis. This animal model provides evidence that T cell-independent mechanisms are sufficient to cause mucosal pathophysiologic changes and inflammation in response to a specific pathogen, and may be of relevance to inflammatory bowel disease in humans.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".