Haloperidol promotes proliferation but inhibits differentiation in rat oligodendrocyte progenitor cell culturesThis paper is one of a selection of papers published in this special issue entitled “Second International Symposium on Recent Advances in Basic, Clinical, and Social Medicine” and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Haloperidol is a commonly used, typical, antipsychotic drug (APD) that acts strongly against positive symptoms, but has fewer therapeutic effects on, or may even aggravate, negative symptoms and cognitive deficits in patients with schizophrenia. Loss of oligodendrocytes has been suggested as a factor associated with the negative symptoms of schizophrenia. Recent study shows that chronic haloperidol treatment induced down-regulation of oligodendrocyte-related genes in certain brain regions of mouse. In this study, we used primary oligodendrocyte progenitor cell cultures from 1- to 3-day-postnatal rats to investigate the direct effects of haloperidol on the proliferation and differentiation of oligodendrocyte progenitor cells. Our results showed that (i) haloperidol (0-10.0 micromol.L-1) facilitated the proliferation of oligodendrocyte progenitor cells, (ii) chronic haloperidol (0.5 micromol.L-1) treatment decreased the number of myelin basic protein positive oligodendrocytes and reduced the oligodendrocytes cells possessing myelin-like membranes, resulting in inhibition of the terminal differentiation of oligodendrocytes, and (iii) D3 receptor mRNA was detected in oligodendrocyte progenitor cells, and haloperidol treatment induced a down-regulation of D3 receptor mRNA. These results suggest that the typical antipsychotic drug haloperidol affects the development of oligodendrocyte progenitor cells, and that D3 receptor down regulation may be involved. Our observations provide new insight into possible cellular mechanisms responsible for the side effects of typical antipsychotic drugs and support the concept that abnormality of oligodendrocytes may be involved in the pathogenesis of schizophrenia.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".