Demonstration of an anti‐oxidative stress mechanism of quetiapine
Bibliographic record
Abstract
We have shown that quetiapine, a new antipsychotic drug, protects cultured cells against oxidative stress-related cytotoxicities induced by amyloid beta (Abeta)25-35, and that quetiapine prevents memory impairment and decreases Abeta plaques in the brains of amyloid precursor protein (APP)/presenilin-1 (PS-1) double-mutant mice. The aim of this study was to understand why quetiapine has these protective effects. Because the cytotoxicity of both Abeta(25-35) and Abeta(1-40) requires fibril formation, our first experiments determined the effect of quetiapine on Abeta(25-35) aggregation. Quetiapine inhibited Abeta(25-35) aggregation in cell-free aqueous solutions and blocked the fibrillar aggregation of Abeta(25-35), as observed under an electron microscope. We then investigated why quetiapine inhibits Abeta(25-35) aggregation. During the aggregation of Abeta(25-35), a hydroxyl radical (OH*) was released, which in turn amplified Abeta(25-35) aggregation. Quetiapine blocked OH*-induced Abeta(25-35) aggregation and scavenged the OH* produced in the Fenton system and in the Abeta(25-35) solution, as analyzed using electron paramagnetic resonance spectroscopy. Furthermore, new compounds formed by quetiapine and OH* were observed in MS analysis. Finally, we applied Abeta(25-35) to PC12 cells to observe the effect of quetiapine on living cells. Abeta(25-35) increased levels of intracellular reactive oxygen species and calcium in PC12 cells and caused cell death, but these toxic effects were prevented by quetiapine. These results demonstrate an anti-oxidative stress mechanism of quetiapine, which contributes to its protective effects observed in our previous studies and explains the effectiveness of this drug for Alzheimer's disease patients with psychiatric and behavioral complications.
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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) | 0.000 | 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".