Behavioral and neurochemical effects of alpha lipoic acid associated with omega-3 in tardive dyskinesia induced by chronic haloperidol in rats
Bibliographic record
Abstract
Tardive dyskinesia (TD) is characterized by involuntary movements of the lower portion of the face being related to typical antipsychotic therapy. TD is associated with the oxidative imbalance in the basal ganglia. Lipoic acid (LA) and omega-3 (ω-3) are antioxidants acting as enzyme cofactors, regenerating antioxidant enzymes. This study aimed to investigate behavioral and neurochemical effects of supplementation with LA (100 mg/kg) and ω-3 (1 g/kg) in the treatment of TD induced by chronic use of haloperidol (HAL) (1 mg/kg) in rats. Wistar male rats were used, weighing between 180-200 g. The animals were treated chronically (31 days) with LA alone or associated with HAL or ω-3. Motor behavior was assessed by open-field test, the catalepsy test, and evaluation of orofacial dyskinesia. Oxidative stress was accessed by determination of lipid peroxidation and concentration of nitrite. LA and ω-3 alone or associated caused an improvement in motor performance by increasing locomotor activity in the open-field test and decreased the permanence time on the bar in the catalepsy test and decreased the orofacial dyskinesia. LA and ω-3 showed antioxidant effects, decreasing lipid peroxidation and nitrite levels. Thus, the use of LA associated with ω-3 reduced the extrapyramidal effects produced by chronic use of HAL.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".