Brain Serotonin 5-HT1A Receptor Binding in Schizophrenia Measured by Positron Emission Tomography and [11C]WAY-100635
Bibliographic record
Abstract
BACKGROUND: Results of postmortem studies show an elevation in serotonin-1A (5-hydroxytryptamine-1A [5-HT(1A)]) receptor density in the prefrontal and temporal cortices of patients with schizophrenia. This study examined 5-HT(1A) receptors in vivo in patients with schizophrenia using positron emission tomography and [carbonyl-(11)C]-N-[2-[4-(2-methoxyphenyl)-1-piperazinyl]ethyl]-N-(2-pyridinyl)cyclohexane carboxamide ([(11)C]WAY-100635). METHODS: The 5-HT(1A) binding potential of 14 antipsychotic drug-naïve patients with a DSM-IV diagnosis of schizophrenia was compared with that of 14 age-matched healthy controls. Positron emission tomography data were analyzed using 9 cortical regions of interest, which were delineated on a coregistered magnetic resonance image and transferred to the positron emission tomographic image, with the cerebellum as the reference region for a simplified reference tissue model. We also performed a voxel-wise comparison using statistical parametric mapping. RESULTS: The region of interest-based analysis revealed a significant mean +/- SD cortical 5-HT(1A) receptor binding potential increase of 7.1% +/- 6.4% in patients with schizophrenia (F = 2.975; P =.02); local differences were +20% in the left medial temporal cortex (F = 9.339;P =.005) and +13% in the right medio temporal cortex (F = 4.453; P =.045). There were no significant differences in regional tracer delivery or cerebellar [(11)C]WAY-100635 uptake. The voxel-based analysis also confirmed a group difference in the left medial temporal cortex. CONCLUSIONS: The biological significance of elevated 5-HT(1A) receptor density in schizophrenia remains unclear. Given the location of 5-HT(1A) receptors on pyramidal cells, this elevation may reflect an abnormal glutamatergic network. Our finding needs to be viewed in light of preclinical evidence supporting a role for 5-HT(1A) receptors in mediating antipsychotic action and extrapyramidal adverse effects of drugs.
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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 | 0.000 |
| 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) | 0.001 | 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".