Nitric oxide inhibits cAMP-dependent CFTR trafficking in intestinal epithelial cells
Bibliographic record
Abstract
Nitric oxide is produced during intestinal inflammation and inhibits the epithelial responsiveness to cAMP-dependent secretagogues. The effect is presumably due to inhibition of activation of the CFTR. However, because insertion of CFTR into the epithelial apical membrane is also a cAMP-dependent process, we tested the hypothesis that NO could inhibit cAMP-dependent CFTR trafficking. SCBN intestinal epithelial cells were treated with forskolin to activate adenylate cyclase activity. The cells were fixed at various times and immunostained for CFTR. Some cells were pretreated with the nitric oxide donor PAPA-NONOate, the protein kinase A inhibitor H89, or the microtubule blocker nocodazole. Cross sections of epithelial monolayers were then studied under fluorescence, and the ratio of apical to basolateral CFTR immunoreactivity was determined. Stimulation of adenylate cyclase activity caused an increase in the apical-to-basolateral ratio of CFTR within 30 s. This effect was transient and preceded changes in short-circuit current in SCBN monolayers mounted in Ussing chambers. PAPA-NONOate, H89, and nocodazole all reduced forskolin-stimulated CFTR trafficking. The inhibitory effect of the NO donor was not affected by pretreatment with the guanylate cyclase inhibitor 1H-[1,2,4]oxadiazolo[4,3-a]quinoxalin-1-one. PAPA-NONOate reduced forskolin-stimulated increases in intracellular cAMP. The data suggest that a portion of the inhibitory effect of nitric oxide donors on cAMP-dependent chloride secretion is through the inhibition of cAMP-dependent insertion of CFTR into the apical plasma membrane. These data provide insight into the mechanism of secretory dysfunction in inflammatory diseases of the gut where mucosal nitric oxide is elevated.
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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".