The effects of antipsychotics on β‐catenin, glycogen synthase kinase‐3 and dishevelled in the ventral midbrain of rats
Bibliographic record
Abstract
Protein kinase B and glycogen synthase kinase-3 have been identified as susceptibility genes for schizophrenia and altered protein and mRNA levels have been detected in the brains of schizophrenics post-mortem. Recently, we reported that haloperidol, clozapine and risperidone alter glycogen synthase kinase-3 and beta-catenin protein expression and glycogen synthase kinase-3 phosphorylation levels in the rat prefrontal cortex and striatum. In the current study, beta-catenin, adenomatous polyposis coli, Wnt1, dishevelled and glycogen synthase kinase-3 were examined in the ventral midbrain and hippocampus using western blotting. In addition, beta-catenin and GSK-3 were examined in the substantia nigra and ventral tegmental area using confocal and fluorescence microscopy. The results indicate that repeated antipsychotic administration results in significant elevations in glycogen synthase kinase-3, beta-catenin and dishevelled-3 protein levels in the ventral midbrain and hippocampus. Raclopride causes similar changes in beta-catenin and GSK-3 in the ventral midbrain, suggesting that D2 dopamine receptor antagonism mediated the changes observed following antipsychotic administration. In contrast, amphetamine, a drug capable of inducing psychotic episodes, had the opposite effect on beta-catenin and GSK-3 in the ventral midbrain. Collectively, the results suggest that antipsychotics may exert their beneficial effects through modifications to proteins that are associated with the canonical Wnt pathway.
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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) | 0.001 | 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 | 0.001 |
| 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".