GABA receptor proteins within lipid rafts in the AY‐9944 model of atypical absence seizures
Bibliographic record
Abstract
PURPOSE: The inhibition of cholesterol synthesis with AY-9944 (AY) results in chronic recurrent atypical absence seizures in rodents. We hypothesized that cholesterol inhibition during the course of creating the AY model of atypical absence seizures results in an alteration of the entry of gamma-aminobutyric acid (GABA)(A) and GABA(B) receptors into lipid rafts that contributes to epileptogenesis in this model. METHODS: The cholesterol synthesis inhibitor AY (7.5 mg/kg) was administered on postnatal day (P) 2, P8, P14, and P20 in Long-Evans hooded rats. The incorporation of GABA(A) and GABA(B) receptor proteins into lipid rafts of the brain was then determined. RESULTS: AY produced a shift of both GABA(A) and GABA(B) receptors in the examined detergent-resistant membranes (DRMs) and the soluble fractions. The percentage of the GABA(A) and GABA(B) receptors that shifted out of the DRMs varied between 17% and 50%, but the proportion of receptors in DRMs were decreased to levels around that of P5 animals or even lower. The shift observed in the AY-treated versus control animals was statistically significant (p < 0.01) for both GABA(A) and GABA(B) receptors. CONCLUSION: Cholesterol synthesis inhibition during rat brain development that is induced by AY leads to chronic atypical absence seizures and is associated with an alteration of GABA(A) and GABA(B) receptor proteins within lipid rafts. These data suggest a novel avenue of investigation into the epileptogenesis of experimental chronic atypical absence seizures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".