Effects of short-term administration of valproate on serotonin-1A and dopamine receptor function in healthy human subjects
Bibliographic record
Abstract
OBJECTIVE: To examine the effects of short-term valproate treatment on human brain serotonin and dopamine function by means of challenge tests with ipsapirone, a partial agonist at 5-HT1A receptors, and apomorphine, a dopamine receptor agonist. DESIGN: Experimental challenge-rechallenge, within-subjects repeated measures, before and at the end of 14 days of treatment with valproate at a dosage of 625 mg/d (reached gradually over the first 5 days). PARTICIPANTS: Eight healthy male volunteers (mean age 38 years) selected for good physical and mental health who were nonsmokers. OUTCOME MEASURES: Pharmacological probes were used to evaluate the effects of valproate. In the ipsapirone challenge, changes in adrenocorticotropic hormone (ACTH), cortisol and body temperature were measured, and in the apomorphine challenge, growth hormone (GH) and prolactin were the dependent variables. RESULTS: Valproate treatment did not significantly alter the ACTH, cortisol or body temperature responses to ipsapirone (20 mg by mouth), which reached equivalent plasma levels at each challenge. Similarly, valproate treatment did not alter the GH or prolactin responses to apomorphine (5 micrograms/kg subcutaneously). CONCLUSIONS: These results suggest that short-term treatment with valproate at a dose of 625 mg/d does not alter hypothalamic or pituitary 5-HT1A or dopamine receptor responses to challenges with ipsapirone and apomorphine, respectively.
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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 | 0.001 |
| 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 | 0.000 |
| 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".