Altered muscarinic receptor expression in the cerebral cortex of epileptic rats: restorative role of <i>Withania somnifera</i>
Bibliographic record
Abstract
Temporal lobe epilepsy involves a sequence of events that can lead to neurotransmitter signalling alterations. There are many herbal extracts considered to be alternative therapeutic methods to manage epilepsy. In this study, we investigated the effect of Withania somnifera (WS) root extract and withanolide A (WA) in the management of temporal lobe epilepsy. Confocal imaging of TOPRO-3-stained cortical sections showed severe damage in the epileptic brain. We also observed a reduced antioxidant potential and increased peroxide levels in the epileptic test group of rats. Oxidative stress resulted in the down-regulation of CREB, NF-κB, and TNF-α, and with up-regulation of the apoptotic factors caspases 8 and 3 and Bax in the epileptic group. Epileptic condition also resulted in increased muscarinic receptor binding and mRNA expression in the cerebral cortex. Withania somnifera and withanolide A significantly reversed the altered muscarinic receptor expression and reversed the oxidative stress and resultant derailment in cell signalling. Thus our studies suggest that Withania somnifera and withanolide A play important roles in central muscarinic receptor functional balance and activation of the antioxidant system in the cerebral cortex in temporal lobe epilepsy. These findings can be of immense therapeutic significance for managing epilepsy.
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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".