Quetiapine attenuates recognition memory impairment and hippocampal oxidative stress in a transgenic mouse model of Alzheimer’s disease
Bibliographic record
Abstract
Quetiapine, an atypical antipsychotic drug, may have beneficial effects in Alzheimer's disease (AD), and the effect of quetiapine on object recognition memory in AD has never been measured. The aim of the present study was to evaluate the effects of quetiapine on object recognition memory and on oxidative stress that could be involved in the AD pathogenesis in an amyloid precursor protein/presenilin-1 double transgenic mouse model of AD. Nontransgenic and transgenic mice were treated with quetiapine (0 or 5 mg/kg/day) in drinking water from the age of 2 months. After 10 months of continuous quetiapine administration, object recognition memory impairment and the increased hippocampal protein expression of nitrotyrosine, a protein marker of oxidative stress, were attenuated in the AD mice. These results suggest that quetiapine can attenuate object recognition memory impairment and brain oxidative stress in an amyloid precursor protein/presenilin-1 transgenic mouse model of AD and indicate that the antioxidative effect of early quetiapine intervention may be associated with the beneficial effect of quetiapine on memory in AD.
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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 | 0.001 | 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".