Basic Science
Bibliographic record
Abstract
Introduction: Evidence indicate that cardiac arrhythmias are involved in sudden death during epilepsy (SUDEP) and Dravet Syndrome and suggest that expression of non-cardiac sodium channels (neuronal) in the heart contributes to them.We will present an overview of the latest developments on the role of these channels to arrhythmia linked to epilepsy and non-cardiac diseases.Methods: We used a rat model of temporal lobe epilepsy (the most common form) to study how expression of neuronal sodium channels in the heart may alter the cardiac adrenergic response of the sodium current (INa) during epilepsy.We used the patch clamp technique to measure INa response to isoproterenol in acutely dissociated ventricular and atrial cells.Result: Epilepsy triggered expression of neuronal sodium channels in the heart.This overexpression of non-cardiac sodium channels increased the late sodium current by more than 50% and the sensitivity of the cardiac sodium current INa to isoproterenol.As a consequence, the duration of the ventricular action potential was prolonged by 40% during epilepsy.These changes are likely to alter cardiac conduction.Moreover, prolongation of the action potential duration is likely to result in increase the QT interval on the electrocardiogram at rest but also during an epileptic ictus.Long QT interval is a well known trigger of Torsade de pointes arrhythmias. Conclusion:Our results provide a basis to explain the QT prolongation and the conduction problems observed in epileptic patients and suggest that their heart may be prone to develop arrhythmia during adrenergic modulations commonly observed during seizures.Our data provide a potential link between alterations of INa, arrhythmia during epilepsy and SUDEP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.352 | 0.297 |
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".