Curcumin prevents haloperidol‐induced development of abnormal oro‐facial movements: Possible implications of Bcl‐XL in its mechanism of action
Why this work is in the frame
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Bibliographic record
Abstract
Curcumin (Curcuma Longa Linn), the active component of turmeric, has been shown to be effective in ameliorating several stress and drug-induced disorders in rats and humans. However, it is unclear whether short term curcumin administration can prevent the abnormal oro-facial movements (AOFM) which develop following blockade of dopamine D2 receptors by antagonist such as Haloperidol. The objective of this study is to determine whether short term treatment with curcumin along with Haloperidol can prevent the development of AOFM in rats. Male Sprague Dawley rats were administered curcumin at 200 mg/kg, and Haloperidol at 2 mg/kg daily for 2 weeks, and AOFMs and locomotor activity were assessed at baseline, day 7 and day 14. By day 14, rats receiving concurrent curcumin administration had a significant reduction in the incidence of Haloperidol-induced AOFMs, but no change on the Haloperidol-induced hypolocomotion. There was no spiked increase in locomotor activity in absence of challenge with dopamine D2 receptor agonist. The exact mechanism by which curcumin attenuates AOFMs remains unknown, therefore, we performed a proteomic analysis of the striatal samples obtained from control and curcumin treated groups. A number of proteins were altered by curcumin, among them an antiapoptotic protein, Bcl-XL, was significantly upregulated. These results suggest that curcumin may be a promising treatment to prevent the development of AOFMs and further suggest some therapeutic value in the treatment of movement disorders.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it