Investigation of Blood-Brain Barrier Disruption in an Animal Model of Mania Induced by d-Amphetamine
Bibliographic record
Abstract
Abstract Background: Bipolar disorder (BD) is a recurrent chronic psychiatric disorder. Evidence indicates that many individuals with BD exhibit high serum levels of inflammation and oxidative stress markers, which are further associated with mood symptoms and cognitive dysfunction. Due to the crosstalk between the periphery and central nervous system in BD, the disruption of the blood-brain barrier (BBB) has been proposed as a key mechanism of the pathophysiology of the disorder. This study aimed to investigate claudin-5 expression – a major protein of the BBB – in the brain of an animal model of mania induced by d-amphetamine (AMPH) and evaluate the effects of treatment with lithium. Results: AMPH-injected animals exhibited increased overall activity in the open field test. In the serum, TBARS levels were augmented in the lithium-treated groups, regardless of AMPH injection, while TNFα was not detected. In the brain, TBARS and TNFα did not differ between groups but were positively and strongly correlated in the ST of AMPH-injected rats. Contrary to the primary hypothesis, AMPH and lithium injections did not affect brain claudin-5 protein levels.Conclusions: This is one of the first attempts to investigate the effects of AMPH on BBB integrity. Although no evidence of BBB disruption was found in the current study, our results provide evidence and rationale for future research to elucidate the importance of such alteration in BD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.002 | 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".