Effects of alpha‐lipoic acid in an animal model of mania induced by<scp>d</scp>‐amphetamine
Bibliographic record
Abstract
OBJECTIVES: Oxidative stress and neurotrophic factors are involved in the pathophysiology of bipolar disorder (BD). Alpha-lipoic acid (ALA) is a naturally occurring compound with strong antioxidant properties. The present study investigated ALA effects in an amphetamine-induced model of mania. METHODS: In the reversal protocol, adult mice were first given d-amphetamine (AMPH) 2 mg/kg, intraperitoneally (i.p.) or saline for 14 days. Between days 8 and 14, the animals received ALA 50 or 100 mg/kg orally, lithium (Li) 47.5 mg/kg i.p., or saline. In the prevention paradigm, mice were pretreated with ALA, Li, or saline prior to AMPH. Locomotor activity was assessed in the open-field task. Superoxide dismutase (SOD) activity, reduced glutathione (GSH), and thiobarbituric acid-reactive substance (TBARS) levels were evaluated in the prefrontal cortex (PFC), hippocampus (HC), and striatum (ST). Brain-derived neurotrophic factor (BDNF) levels were measured in the HC. RESULTS: ALA and Li prevented and reversed the AMPH-induced increase in locomotor activity. PREVENTION MODEL: ALA and Li co-administration with AMPH prevented the decrease in SOD activity induced by AMPH in the HC and ST, respectively; ALA and Li prevented GSH alteration in the HC and TBARS formation in all brain areas studied. REVERSAL MODEL: ALA reversed the decrease in SOD activity in the ST. TBARS formation was reversed by ALA and Li in all brain areas. Furthermore, ALA reversed AMPH-induced decreases in BDNF and GSH in the HC. CONCLUSIONS: Our findings showed that ALA, similarly to Li, is effective in reversing and preventing AMPH-induced behavioral and neurochemical alterations, providing a rationale for the design of clinical trials investigating ALA's possible antimanic effect.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".