Pseudohalide anions reveal a novel extracellular site for potentiators to increase CFTR function
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: There is great interest in the development of potentiator drugs to increase the activity of the cystic fibrosis transmembrane conductance regulator (CFTR) in cystic fibrosis. We tested the ability of several anions to potentiate CFTR activity by a novel mechanism. EXPERIMENTAL APPROACH: Patch clamp recordings were used to investigate the ability of extracellular pseudohalide anions (Co(CN)(6) (3-) , Co(NO(2) )(6) (3-) , Fe(CN)(6) (3-) , IrCl(6) (3-) , Fe(CN)(6) (4-) ) to increase the macroscopic conductance of mutant CFTR in intact cells via interactions with cytoplasmic blocking anions. Mutagenesis of CFTR was used to identify a possible molecular mechanism of action. Transepithelial short-circuit current recordings from human airway epithelial cells were used to determine effects on net anion secretion. KEY RESULTS: Extracellular pseudohalide anions were able to increase CFTR conductance in intact cells, as well as increase anion secretion in airway epithelial cells. This effect appears to reflect the interaction of these substances with a site on the extracellular face of the CFTR protein. CONCLUSIONS AND IMPLICATIONS: Our results identify pseudohalide anions as increasing CFTR function by a previously undescribed molecular mechanism that involves an interaction with an extracellular site on the CFTR protein. Future drugs could utilize this mechanism to increase CFTR activity in cystic fibrosis, possibly in conjunction with known intracellularly-active potentiators.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".