Arrhythmogenic atrial remodeling during pregnancy in mice
Bibliographic record
Abstract
Background Pregnancy is associated with greater vulnerability to supraventricular tachyarrhythmias. Objective As the underlying mechanisms remain to be elucidated, we investigated whether pregnancy induces atrial remodeling that might contribute to this. Methods Atrial electrophysiological and contractile properties were examined in nonpregnant and pregnant (P) mice. Cell shortening and Ca 2+ imaging were measured on atrial myocytes. Atrial action potential and ionic currents were recorded using the patch-clamp technique. Atrial messenger RNA and protein expression were analyzed using quantitative polymerase chain reaction and Western blot. Results The P-wave area on the electrocardiogram increased by 50% during pregnancy, suggesting atrial enlargement, confirmed by echocardiography. The atrial myocytes were longer in P mice, adding further evidence to the physiological hypertrophy associated with pregnancy. Echocardiography showed a 50% increase in atrial fractional area change during pregnancy, indicating much stronger contraction. A similar increase in cell shortening was observed in P mice and was associated with a decrease in sarcomere length and changes in myofilament protein phosphorylation. However, pregnancy did not affect L-type Ca 2+ current, Ca 2+ transients, and SR Ca 2+ load. Myocytes from P mice showed twice as many spontaneous contractions and spontaneous diastolic Ca 2+ releases. Moreover, pregnancy was associated with a 50% increase in action potential duration, linked to a reduction in the density of the Ca 2+ -independent transient outward K + current and the underlying K V 4.3 channel. Conclusion During pregnancy, atrial tissues undergo substantial remodeling, potentially contributing to the development of supraventricular tachyarrhythmias.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".