Activating Cystic Fibrosis Transmembrane Conductance Regulator Channels with Pore Blocker Analogs
Bibliographic record
Abstract
Cystic fibrosis (CF) is caused by mutations that disrupt the surface localization and/or gating of the CF transmembrane conductance regulator (CFTR) chloride channel. The most common CF mutant is deltaF508-CFTR, which inefficiently traffics to the surfaces of most cells. The deltaF508 mutation may also disrupt the opening of CFTR channels once they reach the cell surface, but the extent of this gating defect is unclear. Here, we describe potent activators of wild-type and deltaF508-CFTR channels that are structurally related to 5-nitro-2-(3-phenylpropylamino)benzoate (NPPB), a negatively charged pore blocker that we show to have mixed agonistic activity (channel activation plus voltage-dependent pore block). These CFTR agonists include 1) an uncharged NPPB analog that stimulates channel opening at submicromolar concentrations without blocking the pore and 2) curcumin, a dietary compound recently reported to augment deltaF508-CFTR function in mice by an unknown mechanism. The uncharged NPPB analog enhanced the activities of wild-type and deltaF508-CFTR channels both in excised membrane patches and in intact epithelial monolayers. This compound increased the open probabilities of deltaF508-CFTR channels in excised membrane patches by 10-15-fold under conditions in which wild-type channels were already maximally active. Our results support the emerging view that CFTR channel activity is substantially reduced by the deltaF508 mutation and that effective CF therapies may require the use of channel openers to activate mutant CFTR channels at the cell surface.
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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".