Dysmotility in the ileum of CFTR null swine
Bibliographic record
Abstract
BACKGROUND: Gastrointestinal (GI) complications are a common source of morbidity for people with cystic fibrosis (pwCF). The pathobiology of these clinical presentations is not fully understood, but there is evidence that gut dysmotility may be a primary contributor. METHODS: We studied gut motility in ileum samples from CF (CFTR-/-) and wild-type (WT) swine at birth (P0) and one week of post-natal life (P7) using organ bath assays. RESULTS: Ileal samples from both WT and CF swine displayed spontaneous peristalsis. CF swine presented with reduced basal amplitude of the peristaltic waves compared to WT swine. Stimulating the ileal samples with increasing concentrations of acetylcholine (ACh) resulted in four main findings: 1) ACh increased the amplitude of smooth muscle contraction in all ileal samples in a dose-dependent manner. 2) At P7, ACh stimulation caused a significant increase in the maximum smooth muscle contraction in the WT but not in the CF samples. 3) Increasing doses of ACh caused fatigue-like contracting decline in smooth muscle from WT samples at both ages, but not in samples from CF swine. 4) ACh stimulation had no effect on the frequency of smooth muscle contraction in either genotype. CONCLUSIONS: Our results show ileal dysmotility in the CF swine characterized by a decrease in basal peristalsis and weaker smooth muscle contraction. Our data suggest that GI dysmotility would impact chyme transit through the GI tract, which may predispose pwCF to intestinal manifestations associated with the disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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".