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Record W2321938973 · doi:10.1097/wnr.0000000000000150

Quetiapine attenuates recognition memory impairment and hippocampal oxidative stress in a transgenic mouse model of Alzheimer’s disease

2014· article· en· W2321938973 on OpenAlexaff
Gang Luo, Min Liu, Jue He, Huining Guo, Mengzhou Xue, Xinchun Wang, Xinmin Li

Bibliographic record

VenueNeuroreport · 2014
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQuetiapinePresenilinOxidative stressAlzheimer's diseaseGenetically modified mouseMemory impairmentHippocampusAtypical antipsychoticAmyloid precursor proteinNeurosciencePsychologyPharmacologyMedicineTransgeneEndocrinologyInternal medicineAntipsychoticChemistrySchizophrenia (object-oriented programming)PsychiatryDiseaseBiochemistryCognition

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.307
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2014
Admission routes1
Has abstractyes

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