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Quetiapine prevents oligodendrocyte and myelin loss and promotes maturation of oligodendrocyte progenitors in the hippocampus of global cerebral ischemia mice

2012· article· en· W1762755251 on OpenAlexafffund
Xiaoying Bi, Yanbo Zhang, Bin Yan, Shaokuan Fang, Jue He, Dai Zhang, Zhijun Zhang, Jiming Kong, Qingrong Tan, Xinmin Li

Bibliographic record

VenueJournal of Neurochemistry · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of ManitobaUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsOligodendrocyteQuetiapineWhite matterHippocampusMyelinMedicineLithium (medication)AnesthesiaNeurosciencePharmacologyInternal medicinePsychologyCentral nervous systemSchizophrenia (object-oriented programming)PsychiatryMagnetic resonance imaging

Abstract

fetched live from OpenAlex

White matter impairment is a feature of vascular depression. The anti-psychotic quetiapine has been shown to enhance the therapeutic effects of anti-depressants on vascular depression, but the mechanism remains unknown. In this study, we found that 2 weeks of treatment with quetiapine prior to bilateral carotid artery occlusion and reperfusion, in an animal model of vascular depression, resulted in reduced myelin breakdown and oligodendrocyte loss compared to placebo-treated mice on post-operative day (POD) 7. For late stage of recovery (POD40), quetiapine treatment resulted in enhanced oligodendrocyte maturation relative to placebo. The results suggest that quetiapine is a potential intervention for oligodendrocyte damage and this may contribute to its anti-depressant effects through white matter protection in vascular depression.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.262
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations41
Published2012
Admission routes2
Has abstractyes

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