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Record W1971861775 · doi:10.1139/cjpp-2014-0560

Antidepressant-like effect of simvastatin in diabetic rats

2015· article· en· W1971861775 on OpenAlexvenueno aff
Maha M. ElBatsh

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2015
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsnot available
Fundersnot available
KeywordsEndocrinologyInternal medicineStreptozotocinClomipramineBehavioural despair testCorticosteroneNeurochemicalAntidepressantSerotoninSimvastatinDopamineDiabetes mellitusMedicineHippocampusHormone

Abstract

fetched live from OpenAlex

Diabetes mellitus is accompanied by hormonal and neurochemical changes that can be associated with anxiety and depression. I investigated the antidepressant effect of simvastatin (SMV) on diabetic rats. Rats were divided into control (CTR) and streptozotocin-induced diabetic (STZ) groups and were orally administered 0, 5, or 10 mg/kg of SMV daily for 14 days, then exposed to the forced swimming test (FST). Our results showed that diabetic rats had higher immobility duration than the CTR rats, and SMV decreased this depressive-like behavior in the diabetic rats. However, clomipramine lowered the immobility time in the CTR and STZ rats. STZ decreased serotonin concentration in the hippocampus, which was reversed by SMV and clomipramine. The dopamine concentration in the hippocampus decreased in the STZ groups compared with the CTR groups. However, SMV and clomipramine had no significant effect on the dopamine levels in either the CTR or STZ groups. Corticosterone levels were increased in the untreated STZ group; SMV and clomipramine significantly decreased corticosterone levels in the STZ groups, but had no effect on the CTR groups. In conclusion, SMV exerts an antidepressant-like effect on diabetic rats that are submitted to the FST. The antidepressant-like effect of SMV in the FST appears to be mediated, at least in part, by the biochemical changes to the blood levels of corticosterone and of serotonin concentration in the hippocampus.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.331

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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 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

Citations33
Published2015
Admission routes1
Has abstractyes

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