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Record W2103406175 · doi:10.55782/ane-2009-1757

Alcohol reverses depressive and pronociceptive effects of chronic stress in mice with enhanced activity of the opioid system

2009· article· en· W2103406175 on OpenAlexfundno aff
Mariusz Sacharczuk, Grzegorz R. Juszczak, Artur H. Świergiel, K. Jaszczak, Andrzej W. Lipkowski, Bogdan Sadowski

Bibliographic record

VenueActa Neurobiologiae Experimentalis · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsnot available
FundersInstitute of Genetics
KeywordsNociceptionAlcoholTail suspension testOpioidDepression (economics)MedicineChronic stressReceptorInternal medicineEndocrinologyBehavioural despair testPharmacologyAntidepressantChemistryBiochemistry

Abstract

fetched live from OpenAlex

The role of the opioid system in mediating effects of alcoholism and stress in depression is far from clear. We studied, therefore, the effects of chronic mild stress (CMS) and alcohol drinking on depression-like behavior and nociception in lines of mice selected for high (HA) or low (LA) swim stress-induced analgesia. Compared to the LA mice, the HA animals display up-regulation of opioid receptor system function and depression-like behavior in tail suspension test (TST). We report now that alcohol reverses depressive and pronociceptive effect of CMS in HA mice. In contrast, in LA mice CMS does not affect nociception or behavior in TST and the animals are not susceptible to alcohol under CMS. The results suggest that opioid system activity may determine the effects of alcohol on behavior under stress and, therefore, link predispositions to depression and to alcoholism.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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

Citations24
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueActa Neurobiologiae ExperimentalisSame topicNeurotransmitter Receptor Influence on BehaviorFrench-language works237,207