The Anticonvulsant Effects of Progesterone and 5α‐dihydroprogesterone on Amygdala‐kindled Seizures in Rats
Bibliographic record
Abstract
PURPOSE: Progesterone has been shown to be anticonvulsant in several animal seizure models. The purpose of the present study was to investigate the anticonvulsant actions of progesterone and its primary metabolite 5alpha-dihydroprogesterone in the amygdala kindling model. METHODS: Female Wistar rats were implanted in the right basolateral amygdala with a long-term, bipolar electrode. The subjects were kindled to 30 stage 5 seizures and stability tested. Multiple doses of progesterone and 5alpha-dihydroprogesterone were then tested for anticonvulsant activity against focal electrographic and generalized convulsive kindled seizures. The time course of progesterone's anticonvulsant action also was examined. RESULTS: Progesterone had a median effective dose (ED50) of 103 mg/kg against generalized convulsions at 15 min after injection. Subjects were not sedated at the time of seizure testing, although sedation developed later (40-60 min after injection). In time-course experiments, it was found that 120 mg/kg of progesterone caused complete suppression of the generalized convulsion from 20 to 160 min after injection. Suppression of the focal discharge also was seen in some animals between 20 and 160 min. 5alpha-dihydroprogesterone had an ED50 of 2.9 mg/kg against generalized kindled convulsions and an ED50 of 4.3 mg/kg against focal afterdischarge 15 min after injection. 5alpha-dihydroprogesterone did not produce sedation 15 min after injection, or at any later time interval. CONCLUSIONS: Progesterone is anticonvulsant only at high doses when tested against amygdala kindled seizures. 5alpha-dihydroprogesterone is considerably more potent than progesterone. At low, nonsedative doses, it was effective against both the kindled amygdala focal afterdischarge and the generalized convulsion.
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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) | 0.001 | 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".