Intracellular calcium changes and tachycardia-induced contractile dysfunction in canine atrial myocytes
Bibliographic record
Abstract
OBJECTIVES: Indirect evidence suggests a role for Ca(2+)-overload in electrical and mechanical alterations caused by atrial tachycardia. The present study assessed the alterations in cellular [Ca(2+)] and contractile function caused by rapid atrial cellular activation. METHODS: Intracellular Ca(2+) transients (CaT) and cell shortening (CS) were measured by microfluorometry (Indo-1 AM) and video edge-detection in isolated, field-stimulated canine atrial myocytes (37 degrees C). RESULTS: Abrupt increases in frequency (0.3-3 Hz) caused rapid increases in diastolic [Ca(2+)]i (DCa) that were maintained during rapid-pacing for up to 50 min. When short-term (3-min) rapid-pacing was imposed, CaT and CS increased initially upon returning to 0.3 Hz, but then declined rapidly to 64+/-5 and 49+/-7%, respectively, of pre-tachycardia values, returning to control after approximately 15 min. Post-tachycardia CaT and CS reductions were prevented by decreasing [Ca(2+)]o during tachycardia to prevent Ca(2+)-overload. CS reductions correlated with indices of Ca(2+) loading during tachycardia. Restoration of CaT to normal during post-tachycardia contractile dysfunction (by increasing [Ca(2+)]o) returned CS to normal, indicating that reduced Ca(2+) release, not reduced myofilament Ca(2+)-sensitivity, caused post-tachycardia contractile failure. Estimation of sarcoplasmic-reticulum Ca(2+)-stores (caffeine-induced Ca(2+)-release) confirmed tachycardia-induced Ca(2+)-loading and suggested that reduced Ca(2+)-stores decreased Ca(2+)-release post-tachycardia. CONCLUSIONS: Atrial tachycardia increases cellular Ca(2+)-loading, leading to post-tachycardia abnormalities in Ca(2+)-handling that produce contractile dysfunction. These findings are the first direct evidence for the frequently-postulated role of Ca(2+)-overload in tachycardia-induced abnormalities of atrial function.
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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) | 0.000 | 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 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".