Swelling-Induced K<sup>+</sup> Fluxes in Vascular Smooth Muscle Cells are Mediated by Charybdotoxin-Sensitive K<sup>+</sup> Channels
Bibliographic record
Abstract
This study examines the relative contributions of K-Cl cotransport and K(+) channels to swelling-induced K(+) fluxes in vascular smooth muscle cells (VSMC). DIOA known as a potent inhibitor of erythrocyte K-Cl cotransport exerts diverse side-effects on VSMC and can not be used to analyze the role of this carrier in swelling-induced K(+) fluxes. Other inhibitors of K-Cl cotransport (furosemide, okadaic acid and calyculin A) did not affect K(+) fluxes in VSMC triggered by swelling. Swelling-induced K(+) fluxes in VSMC were also not affected by K(+) channel blockers such as TEA, glibenclamide and apamin, but were blocked by Ba(2+) and charybdotoxin (ChTX), a potent inhibitor of Ca(2+)- and voltage-gated K(+) channels. Swelling-induced K(+) influx in VSMC was diminished in Ca(2+)-free medium and in cells loaded with Ca(2+) chelator BAPTA, but was not accompanied by detectable elevation of [Ca(2+)](i). In contrast to Ca(2+)-induced hyperpolarization of erythrocytes triggered by activation of intermediate conductance Ca(2+)-gated K(+) channels (IK(Ca)), neither clotrimazole nor calmodulin antagonists (R24571, trifluoroperazine, fluphenazine) affected swelling-induced K(+) influx in VSMC. In conclusion, K(+) fluxes triggered in swollen VSMC are mediated by Ba(2+)- and ChTX-sensitive K(+) channels. These channels are distinct from IK(Ca) expressed in erythrocytes. Their molecular origin and systems involved in the swelling-induced Ca(2+)(i)-independent signal transduction pathway need further investigation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".