Investigation of blood-brain barrier disruption in an animal model of mania induced by D-amphetamine
Bibliographic record
Abstract
High levels of inflammation and oxidative stress are observed in bipolar disorder (BD) being further associated with mood symptoms and cognitive dysfunction. Due to the crosstalk between the periphery and central nervous system, the blood-brain barrier (BBB) disruption has been considered a key mechanism of the BD pathophysiology. This study aimed to evaluate claudin-5 expression in the brain of a model of mania induced by D-amphetamine (AMPH). Wistar rats were injected with AMPH (2 mg/kg i.p.) and treated with lithium (47.5 mg/kg i.p.). Locomotor behavior was assessed, followed by euthanasia, blood collection, and brain removal. Tumor necrosis factor (TNF) α and thiobarbituric acid reactive substances (TBARS) were quantified in the serum and brain tissue, and claudin-5 was quantified in the brain. AMPH-injected animals exhibited increased locomotor activity. In the serum, TBARS levels were augmented in lithium-treated groups, while TNFα was not detected. In the brain, TBARS and TNFα did not differ between groups but were positively andstrongly correlated in the striatum of AMPH-injected rats. Contrary to our hypothesis, AMPH and lithium injections did not affect claudin-5 levels in the brain. The main limitations include the lack of a dynamic marker of BBB integrity and limited number of biomarkers analyzed. This is one of the first attempts to investigate the effects of AMPH on BBB integrity, and no disruption was observed. Still, we provide rationale for future research to elucidate the importance of BBB disruption in BD, recently proposed as a marker of illness progression.
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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) | 0.000 | 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) | 0.001 | 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".