Abstract 14308: Lamotrigine Inhibits the Inward Fast Sodium Current (I <sub>Na</sub> ) in Epileptic Rat Cardiomyocytes
Bibliographic record
Abstract
Introduction: Lamotrigine (LTG) is widely prescribed to treat neurological disorders such as migraine, neurophatic pain, and epilepsy. Recently, LTG has been linked to Brugada síndrome (BrS) ECG associated with a reduction in sodium current (I Na ) amplitude. Experimental studies have revealed that LTG blocks voltage gated sodium channels (VGSC). Hypothesis: Therefore, disrupting the depolarizing fast sodium inward current is a potential cause for arrhythmias. Recently our laboratory has shown that epilepsy induces molecular remodeling of the cardiac ventricle characterized by neuronal sodium channels overexpression, so it would be very plausible that LTG can cause important alterations on I Na in epileptic individuals. Methods: We used Patch-Clamp technique to test the effect of LTG on I Na in sham and epileptic rat ventricular cardiomyocytes. Results: We found that LTG inhibited I Na in a single dose-response manner with an IC 50 =326.35μM in sham rats. In epileptic rat cardiomyocytes the inhibitory effect was biphasic way with an IC 50 (1)=8.09 μM, which is close to the therapeutic range (between 12 and 50 μM), and a IC 50 (2)=333.66 μM. Moreover, LTG also altered sodium channels availability in biphasic manner with Vh(1)=-76.36 ± 0.31 mV and Vh(2)=-121.42 ± 1.38 mV, suggesting that LTG reduced the number of ion channels contributing to I Na . Conclusions: These findings may explain in part how LTG induce a Brugada pattern on the ECG of epileptic patients.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".