Cellular electrophysiology of canine pulmonary vein cardiomyocytes: action potential and ionic current properties
Bibliographic record
Abstract
Pulmonary vein (PV) cardiomyocytes play an important role in atrial fibrillation; however, little is known about their specific cellular electrophysiological properties. We applied standard microelectrode recording and whole-cell patch-clamp to evaluate action potentials and ionic currents in canine PVs and left atrium (LA) free wall. Resting membrane potential (RMP) averaged −66 ± 1 mV in PVs and −74 ± 1 mV in LA (P < 0.0001) and action potential amplitude averaged 76 ± 2 mV in PVs vs. 95 ± 2 mV in LA (P < 0.0001). PVs had smaller maximum phase 0 upstroke velocity (V(max): 98 ± 9 vs. 259 ± 16 V s(−1), P < 0.0001) and action potential duration (APD): e.g. at 2 Hz, APD to 90 % repolarization in PVs was 84 % of LA (P < 0.05). Na(+) current density under voltage-clamp conditions was similar in PV and LA, suggesting that smaller V(max) in PVs was due to reduced RMP. Inward rectifier current density in the PV cardiomyocytes was ˜58 % that in the LA, potentially accounting for the less negative RMP in PVs. Slow and rapid delayed rectifier currents were greater in the PV (by ˜60 and ˜50 %, respectively), whereas transient outward K(+) current and L-type Ca(2+) current were significantly smaller (by ˜25 and ˜30 %, respectively). Na(+)-Ca(2+)-exchange (NCX) current and T-type Ca(2+) current were not significantly different. In conclusion, PV cardiomyocytes have a discrete distribution of transmembrane ion currents associated with specific action potential properties, with potential implications for understanding PV electrical activity in cardiac arrhythmias.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".