Dextran sodium sulfate-induced colitis reveals nicotinic modulation of ion transport via iNOS-derived NO
Bibliographic record
Abstract
In normal colon, ACh elicits a luminally directed Cl- efflux from enterocytes via activation of muscarinic receptors. In contrast, in the murine model of dextran sodium sulfate (DSS)-induced colitis, an inhibitory cholinergic ion transport event due to nicotinic receptor activation has been identified. The absence of nicotinic receptors on enteric epithelia and the ability of nitric oxide (NO) to modulate ion transport led us to hypothesize that NO mediated the cholinergic nicotinic receptor-induced changes in ion transport. Midportions of colon from control and DSS-treated mice were examined for inducible NO synthase (iNOS) expression by RT-PCR and immunofluorescence or mounted in Ussing chambers for assessment of cholinergic-evoked changes in ion transport (i.e., short-circuit current) with or without pretreatment with pharmacological inhibitors of NO production. iNOS mRNA and protein levels were increased throughout the tissue from DSS-treated mice and, notably, in the myenteric plexus, where the majority of iNOS immunoreactivity colocalized with the enteric glial cell marker glial fibrillary acidic protein. The drop in short-circuit current evoked by the cholinomimetic carbachol in tissue from DSS-treated mice was prevented by selective inhibitors of iNOS activity [N6-(1-iminoethyl)-lysine HCl and N-[3-(aminomethyl)benzyl]acetamidine] or an NO scavenger [2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide] or by removal of the myenteric plexus. Thus, in this model of colitis, a "switch" occurs from muscarinic to nicotinic receptor-dominated control of cholinergic ion transport. The data indicate a novel pathway involving activation of nicotinic receptors on myenteric neurons, resulting in release of NO from neurons or enteric glia and, ultimately, a dampening of stimulated epithelial Cl- secretion that would reduce secretory diarrhea.
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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 | 0.001 |
| 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".