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Record W2086269321 · doi:10.1097/wnr.0b013e328349739b

Evidence that clozapine directly interacts on the GABAB receptor

2011· article· en· W2086269321 on OpenAlexafffund
Ying Wu, Monica Blichowski, Zafiris J. Daskalakis, Zhouyou Wu, Chun C. Liu, Miguel A. Cortez, Orlando Carter Snead

Bibliographic record

VenueNeuroreport · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsCentre for Addiction and Mental HealthHospital for Sick Children
FundersHospital for Sick Children
KeywordsClozapineGABAB receptorPharmacologyGABAergicSchizophrenia (object-oriented programming)AntagonistNeurotransmissionMetaboliteChemistryReceptorInternal medicineBiologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Neurophysiological studies suggest that clozapine may facilitate γ-aminobutyric acid (GABAergic) neurotransmission. Therefore, we studied the interaction between clozapine and the GABAB receptor (GABABR). We showed that clozapine, and not N-desmethylclozapine, which is a metabolite of clozapine, increased the binding of the GABABR antagonist, [³H]-CGP54626A, at GABABRs. Linear regression analysis showed that the correlation between the dose of clozapine and the increase of [³H]-CGP54626A binding was significant. The curve of specific [³H]-CGP54626A binding in competition with different concentrations of GABA was left shifted in the presence of clozapine. With HEK293 cells overexpressing GABABR, we showed that clozapine had a significant increase of [³H]-CGP54626A binding at GABABR1 subunit, which provided a clue of the potential therapeutic target of clozapine.

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)0.001
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.415
GPT teacher head0.388
Teacher spread0.027 · 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

Citations49
Published2011
Admission routes2
Has abstractyes

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