Block of cardiac delayed‐rectifier and inward‐rectifier K<sup>+</sup> currents by nisoldipine
Bibliographic record
Abstract
The objective of this study was to determine the concentration-dependent effects of nisoldipine, a dihydropyridine Ca2+ channel blocker, on K+ currents in guinea-pig ventricular myocytes. Myocytes in the conventional whole-cell configuration were bathed in normal Tyrode's solution or K+-free Tyrode's solution for the measurement of the effects of 0.01-100 microM nisoldipine on rapidly activating delayed-rectifier K+ current (I(Kr)), slowly activating delayed-rectifier K+ current (I(Ks)), inwardly rectifying K+ current (I(K1)), and reference L-type Ca2+ current (I(Ca,L)). Nisoldipine inhibited I(Kr) with an IC(50) of 23 microM, and I(Ks) with an IC(50) of 40 microM. The drug also had weak inhibitory effects on inward- and outward-directed I(K1); the IC(50) determined for outward-directed current was 80 microM. Investigation of nisoldipine action on I(Ks) showed that inhibition occurred in the absence of previous pulsing, and with little change in the time courses of activation and deactivation. However, the drug-induced inhibition was significantly weaker at >or =+30 mV than at +10 mV.5 We estimate that nisoldipine is about 30 times less selective for delayed-rectifier K+ channels than for L-type Ca2+ channels in fully polarised guinea-pig ventricular myocytes, and several orders less selective in partially depolarised myocytes.
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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".