Lithium normalizes amphetamine-induced changes in striatal FoxO1 phosphorylation and behaviors in rats
Bibliographic record
Abstract
Administration of the psychostimulant drug amphetamine (AMPH) to animals causes hyperactivity and deficit in prepulse inhibition (PPI) of startle, behaviors that are often observed in neuropsychiatric disorders such as schizophrenia and bipolar disorder. Enhanced central dopamine (DA) transmission is believed to mediate AMPH-induced behavioral alterations. Lithium, a drug used primarily in the treatment of bipolar disorder, is reported to interact with the DA system and antagonize some DA-related behaviors. Here, we provide evidence that AMPH and lithium reciprocally regulate the activity of the transcription factor forkhead box, class O1 (FoxO1), a downstream target of Akt. Administration of d-AMPH (3 mg/kg, intraperitoneally) to Sprague-Dawley rats resulted in a concomitant decrease in levels of phosphorylated (p) Akt as well as p-FoxO1 in the striatum, whereas lithium chloride (LiCl,100 mg/kg, intraperitoneally) exerted the opposite effect, that is, it increased levels of p-Akt and p-FoxO1. Pretreatment of animals with lithium prevented an AMPH-induced decrease in striatal p-Akt and p-FoxO1 levels. Pretreatment of animals with lithium also attenuated AMPH-induced locomotor activity and decreased prepulse inhibition. These in-vivo data suggest that the Akt-FoxO1 pathway may be a common target for the action of dopaminergic and antidopaminergic drugs, and its modulation may be relevant to the treatment of neuropsychiatric disorders.
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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 | 0.000 | 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".