Epithelial stem cell‐related alterations in <i>Trichinella spiralis</i>‐infected small intestine
Bibliographic record
Abstract
OBJECTIVES: Infection of mice with the parasite Trichinella spiralis leads to small intestinal inflammation, characterized by changes in mucosal architecture and subpopulations of epithelial cells. This model has been used to explore changes in the epithelial proliferative cell population and expression of transforming growth factor-beta (TGF-beta). MATERIALS AND METHODS: Histochemical and immunohistochemical studies were undertaken in duodenal samples. Location and number of Ki-67-positive cells were assessed using Score and Wincrypts program. Changes in mRNA transcripts were studied by real-time RT-PCR. RESULTS: T. spiralis infection induced an increase in total number of proliferative (Ki-67-positive) cells per half crypt on day 2 post-infection. Transcription of Math1, a transcription factor required for secretory cell differentiation in the intestine, was up-regulated on days 6-18 post-infection. At these time points, numbers of Paneth cells at the crypt base were also increased and the epithelial proliferative zone was shifted up the crypt-villus axis. Transcription of TGF-beta isoforms within the small intestine was up-regulated on days 6 and 12 post-infection, but anti-TGF-beta antibody treatment had no effect on T. spiralis-induced changes in mucosal architecture or increase in Paneth/intermediate cells. CONCLUSIONS: T. spiralis infection promotes an initial increase in small intestinal epithelial proliferation and subsequent cell differentiation along the secretory cell lineage. The resulting increase in numbers of Paneth cells at the crypt base causes the proliferative zone to move up the crypt-villus axis. Further studies are required to determine the significance of an increase in the expression of TGF-beta transcripts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".