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Record W2025878748 · doi:10.1002/syn.20498

Dopamine D2<sup>High</sup> receptors moderately elevated by sertindole

2008· article· en· W2025878748 on OpenAlexaff
Philip Seeman

Bibliographic record

VenueSynapse · 2008
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsUniversity of Toronto
FundersH. Lundbeck A/S
KeywordsSertindoleDopamine receptor D2DopamineHaloperidolDopamine receptorAntipsychoticReceptorInternal medicineEndocrinologyPopulationChemistryPharmacologySchizophrenia (object-oriented programming)MedicinePsychiatry

Abstract

fetched live from OpenAlex

Because long-term administration of antipsychotics can cause behavioral dopamine supersensitivity, this study examined whether the antipsychotic sertindole could elicit biochemical changes indicative of dopamine supersensitivity. In rats, behavioral dopamine supersensitivity is consistently associated with an increased proportion of dopamine receptors that have high affinity for dopamine, namely D2(High), in homogenized striata. Nine days of subcutaneously injected sertindole (1.25 mg/kg/day) increased the proportion of D2(High) receptors between 186% and 215%, although the total population of D2 receptors did not change. Although the findings suggest that rats or patients treated with sertindole might exhibit behavioral dopamine supersensitivity, the drug-induced increase in D2(High) receptors was less than that previously found with haloperidol.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.031
GPT teacher head0.257
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2008
Admission routes1
Has abstractyes

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