Contribution of Na+/Ca2+ Exchange Current to the Formation of Delayed Afterdepolarizations in Intact Rat Ventricular Muscle
Bibliographic record
Abstract
AIM: To evaluate the role of the Na+-Ca2+ exchange current in the induction of arrhythmias during Ca2+ waves, we investigated the relationship between Ca2+ waves and delayed afterdepolarizations (DADs) and further investigated the effect of KB-R7943, an Na+-Ca2+ exchange inhibitor, on such relationship in multicellular muscle. METHODS: Force, sarcomere length, membrane potential, and [Ca2+]i dynamics were measured in 32 ventricular trabeculae from rat hearts. After the induction of Ca2+ waves by trains of electrical stimuli (400, 500, or 600 ms intervals) for 7.5 seconds, 23 Ca2+ waves in the absence of KB-R7943 and cilnidipine ([Ca2+]o = 2.3 +/- 0.2 mmol/L), 11 Ca2+ waves in the presence of 10 micromol/L KB-R7943 ([Ca2+]o = 2.5 +/- 0.5 mmol/L), and 8 Ca2+ waves in the presence of 1 micromol/L cilnidipine ([Ca]o = 4.1 +/- 0.3 mmol/L) were measured at a sarcomere length of 2.1 microm (23.9 +/- 0.8 degrees C). RESULTS: The amplitude of DADs correlated with the velocity (r = 0.90) and the amplitude (r = 0.90) of Ca2+ waves. The amplitude of DADs was significantly decreased to approximately 40% of the initial value by 10 micromol/L KB-R7943. CONCLUSIONS: These results suggest that the velocity and the amplitude of Ca2+ waves determine the formation of DADs principally through the activation of the Na+-Ca2+ exchange current, thereby inducing triggered arrhythmias in multicellular ventricular muscle.
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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 | 0.000 |
| 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".