Comparison of ion channel distribution and expression in cardiomyocytes of canine pulmonary veins versus left atrium
Bibliographic record
Abstract
BACKGROUND: Cardiomyocytes in pulmonary vein (PV) sleeves are important in atrial fibrillation (AF), but underlying mechanisms are poorly understood. Pulmonary veins have different ionic current properties compared to left atrium, with pulmonary vein inward-rectifier currents being smaller and delayed-rectifier currents larger than in left atrium. METHODS: Expression and distribution of the inward-rectifier subunits Kir2.1 and Kir2.3, the rapid delayed-rectifier alpha-subunit ERG, the slow delayed-rectifier alpha-subunit KvLQT1, the beta-subunit minK, the L-type Ca(2+)-subunit Ca(v)1.2, and the Na(+),Ca(2+)-exchanger were quantified by Western blot on isolated cardiomyocytes and localized by immunohistochemistry in tissue sections obtained from canine hearts. RESULTS: Western blotting indicated significantly greater expression of ERG (by 28%, P<0.05) and KvLQT1 (by 34%, P<0.05) in pulmonary vein versus left atrial (LA) cardiomyocytes, but smaller Kir2.3 and similar Kir2.1, Ca(v)1.2 and Na(+),Ca(2+)-exchanger expression in PV. Kir2.1 exhibited weak transverse tubular distribution in both regions. Kir2.3 localized to intercalated disks in both regions, and to transverse tubules in left atrium but not pulmonary vein. ERG staining was more intense in pulmonary vein than left atrium, localizing to transverse tubules in both regions and intercalated disks in pulmonary veins. KvLQT1 was more intensely expressed in pulmonary veins, with a transverse tubular and intercalated disk localization, versus a more diffuse signal in left atrium. The Na(+),Ca(2+)-exchanger localized to transverse tubules, plasma membranes and intercalated disks with similar intensity in each region. CONCLUSIONS: Greater ERG and KvLQT1 abundance in pulmonary vein cardiomyocytes, lower abundance of Kir2.3 in pulmonary veins and differential pulmonary vein subcellular distribution of Kir2.3, ERG and KvLQT1 subunits may contribute to ionic current differences between pulmonary vein and left atrial cardiomyocytes.
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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".