Abstract 14243: The Apelin Mimetic Peptide (2Nal) Partially Inhibits the Transient Outward Potassium Current (Ito) in Rat Cardiomyocytes; a Potential Pharmacological Agent Against Brugada Syndrome
Bibliographic record
Abstract
Introduction: Brugada syndrome (BrS) is an inherited disease characterized by ventricular cardiac arrhythmias leading to sudden cardiac death. One potential cause for arrhythmias is a disruption of the balance between the depolarizing fast sodium inward current (I Na ) and its opposing transient outward currents (I to ) favoring a faster repolarization during phase one of the action potential (AP). Hypothesis: BrS is mainly associated with a reduction in I Na amplitude caused by dominant mutations in the gene SCN5A encoding cardiac sodium channels. However, recent studies have shown that gain-of-function mutations in KCND3, the gene encoding Kv4.3 channels, increase I to amplitude. Therefore, targeting I to to modulate the balance of current during phase one of the AP represents a promising therapeutic approach to BrS, Methods: We used Patch-Clamp technique to test the effect of 2Nal, a newly synthesized peptide derived from apelin, on I to in rat ventricular cardiomyocytes. Apelin is an endogenous neurotransmitter with strong inotropic effects on cardiac cells. Results: We found that apelin had no effect on I to . In contrast, 2Nal maximally inhibited 46.9% ± 3.4 (n=9) of I to with an IC 50 =0.29 nM but did not change its kinetics, thus indicating that 2Nal acts as a partial blocker. The voltage dependence of potassium channels availability was not modified, suggesting that 2Nal simply reduced the conductance of each channel contributing to I to . Conclusions: Because of its partial antagonist effect on ITo, 2Nal provide a safety margin that could be potentially useful for the treatment of Brugada syndrome.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".