A Positron Emission Tomography Study of Quetiapine in Schizophrenia: A Preliminary Finding of an Antipsychotic Effect With Only Transiently High Dopamine D2 Receptor Occupancy
Bibliographic record
Abstract
BACKGROUND: Quetiapine is a new atypical antipsychotic medication. As such, relatively little has been published regarding its in vivo effects at the dopamine type 2 (D2) and serotonin type 2a (5-HT2a) receptor systems. The following study was undertaken to explore these effects across the clinical dose range and relate this information to its clinical profile. METHODS: Twelve patients with schizophrenia were randomly assigned to doses of 150 to 600 mg/d (n=3, at 150, 300, 450, and 600 mg/d) of quetiapine. After 3 weeks of treatment, D2 and 5-HT2a occupancy were measured using positron emission tomography (PET) imaging, 12 to 14 hours after the last dose. Clinical efficacy and adverse effect ratings were obtained at baseline, at the time of PET scanning, and at 12 weeks. Two additional patients were included to examine the effects of the drug 2 to 3 hours after last dose. RESULTS: Quetiapine was an effective antipsychotic and improved the extrapyramidal symptoms and prolactin level elevation noted at baseline. It achieved these results with minimal (0%-27%) D2 occupancy 12 hours after the last dose. Study of the additional subjects revealed that quetiapine does give rise to transiently high (58%-64%) D2 occupancy 2 to 3 hours after a single dose that then decreases to minimal levels in 12 hours. CONCLUSIONS: Quetiapine shows a transiently high D2 occupancy, which decreases to very low levels by the end of the dosing interval. Quetiapine's low D2 occupancy can explain its freedom from extrapyramidal symptoms and prolactin level elevation. The data suggest that transient D2 occupancy may be sufficient for its antipsychotic effect. Future studies controlling for nonpharmacological effects as well as activities on other receptors will be necessary to confirm this suggestion.
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 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) | 0.000 | 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) | 0.002 | 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".