Effect of Lamotrigine on the Ca<sup>2+</sup>-Sensing Cation Current in Cultured Hippocampal Neurons
Bibliographic record
Abstract
Concentrations of extracellular calcium ([Ca(2+)](e)) in the CNS decrease substantially during seizure activity. We have demonstrated previously that decreases in [Ca(2+)](e) activate a novel calcium-sensing nonselective cation (csNSC) channel in hippocampal neurons. Activation of csNSC channels is responsible for a sustained membrane depolarization and increased neuronal excitability. Our study has suggested that the csNSC channel is likely involved in generating and maintaining seizure activities. In the present study, the effects of anti-epileptic agent lamotrigine (LTG) on csNSC channels were studied in cultured mouse hippocampal neurons using patch-clamp techniques. At a holding potential of -60 mV, a slow inward current through csNSC channels was activated by a step reduction of [Ca(2+)](e) from 1.5 to 0.2 mM. LTG decreased the amplitude of csNSC currents dose dependently with an IC(50) of 171 +/- 25.8 (SE) microM. The effect of LTG was independent of membrane potential. In the presence of 300 microM LTG, the amplitude of csNSC current was decreased by 31 +/- 3% at -60 mV and 29 +/- 2.9% at +40 mV (P > 0.05). LTG depressed csNSC current without affecting the potency of Ca(2+) block of the current (IC(50) for Ca(2+) block of csNSC currents in the absence of LTG: 145 +/- 18 microM; in the presence of 300 microM LTG: 136 +/- 10 microM. n = 5, P > 0.05). In current-clamp recordings, activation of csNSC channel by reducing the [Ca(2+)](e) caused a sustained membrane depolarization and an increase in the frequency of spontaneous firing of action potentials. LTG (300 microM) significantly inhibited csNSC channel-mediated membrane depolarization and the excitation of neurons. Fura-2 ratiometric Ca(2+) imaging experiment showed that LTG also inhibited the increase in intracellular Ca(2+) concentration induced by csNSC channel activation. The effect of LTG on csNSC channels may partially contribute to its broad spectrum of anti-epileptic actions.
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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) | 0.001 | 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".