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Divalproex sodium increases plasma GABA levels in healthy volunteers

2000· article· en· W2088919847 on OpenAlexaff
I-S. Shiah, Lakshmi N. Yatham, G. B. Baker

Bibliographic record

VenueInternational Clinical Psychopharmacology · 2000
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsAnticonvulsantDerivatizationPharmacologyMedicineMoodHigh-performance liquid chromatographyInternal medicineChemistryPsychologyEndocrinologyPsychiatryEpilepsyChromatography

Abstract

fetched live from OpenAlex

The purpose of this study was to ascertain the effects of divalproex sodium (DVP), an anticonvulsant and mood stabilizer, on plasma gamma-aminobutyric acid (GABA) levels in healthy humans. Twenty healthy volunteers with no lifetime history of psychiatric illness or family history in first-degree relatives were recruited. Each subject received DVP 1000 mg per day for 1 week. Blood samples for assay of plasma levels of GABA were taken from each subject before and after the administration of DVP. GABA concentrations were analysed using high pressure liquid chromatography with fluorescence detection after derivatization with o-phthaldialdehyde. It was found that DVP administration for 1 week resulted in a small, but significant, increase in plasma levels of GABA. Our results suggest that DVP enhances GABA activity in humans. Further treatment studies of DVP on GABA function in patients with psychiatric disorders are needed to explore the significance of the enhancing effect of DVP on GABA activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.083
GPT teacher head0.484
Teacher spread0.402 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2000
Admission routes1
Has abstractyes

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