M<sub>3</sub> muscarinic receptor-deficient mice retain bethanechol-mediated intestinal ion transport and are more sensitive to colitis
Bibliographic record
Abstract
Acetylcholine (ACh) is an important regulator of intestinal epithelial ion transport via muscarinic or nicotinic ACh receptors. Previous studies emphasize the role of the M3 muscarinic receptor subtype in mediating the effects of cholinergic agonists on intestinal ion transport. With the prevalence of mouse models to study intestinal (patho)physiology, it is crucial that ion transport be understood in this species. Using M3 receptor-deficient (KO) mice and wild-type (WT) mice, we examined M3 receptor contributions to ion transport as well as its role in colitis induced by dextran sodium sulphate (DSS). In the Ussing chambers, ileal and colonic tissue from M3 KO and WT mice displayed similar baseline ion transport properties. Short-circuit current (ISC) responses to the muscarinic receptor agonist bethanechol were slightly decreased in ileal tissue from M3 KO mice compared with tissue from WT mice, whereas responses were not significantly different in colonic tissue. ISC responses to bethanechol were partially inhibited by pirenzepine in WT ileum, but not tetrodotoxin, suggesting involvement of a non-neuronal M1 muscarinic receptor. In the ileum, the M3 receptor may inhibit neuronally evoked ion transport, as indicated by the increased ISC responses to electrical stimulation in tissue from M3 KO mice. Furthermore, whereas all DSS-treated mice developed colitis, M3 KO mice displayed more rapid mass loss and more severe disease than DSS-treated WT mice, even following a reduction in the amount and time of DSS treatment. Thus, M3 receptor-KO mice are compensated in their ability to evoke muscarinic receptor-driven ion transport responses, but are more sensitive to DSS. This work highlights the need to dissect muscarinic receptor-mediated events in the mouse, as mice become increasingly valuable in enteric disease models.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".