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Differential effects of calcineurin inhibition and protein kinase A activation on nucleus accumbens amphetamine-produced conditioned place preference in rats.

2009· article· en· W6940701751 on OpenAlexaff

Bibliographic record

VenueLeicester Research Archive (University of Leicester) · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsCalcineurinConditioned place preferenceNucleus accumbensProtein kinase AActivator (genetics)ConditioningProtein kinase CAdenosineEnzyme activatorDifferential effects

Abstract

fetched live from OpenAlex

The nucleus accumbens (NAc) plays a critical role in amphetamine-produced conditioned place preference (CPP). In previous studies inhibition or activation of cyclic adenosine monophosphate-dependent protein kinase (PKA) blocked NAc amphetamine-produced CPP. PKA activation unrelated to ongoing DA transmission may disrupt reward-related learning. Calcineurin (CN) down-regulates downstream PKA targets. Unlike PKA activation, CN inhibition may preserve and enhance reward-related learning. The PKA signalling cascade is negatively regulated by calcineurin (CN). We tested the hypothesis that post-training CN inhibition in NAc will enhance NAc amphetamine-produced CPP and that PKA activation will block CPP. Eight but not four or two 30-min conditioning sessions were sufficient to establish significant CPP. Immediate post-training, NAc injection of the calcineurin inhibitor FK506 (5.0 but not 1.0 µg in 0.5 µL per side) led to a significant amphetamine CPP in rats receiving four but not two training sessions; the 5.0-µg dose had no effect on rats trained with eight sessions. Injections of the PKA activator Sp-cAMPS (2.5 or 10.0 µg in 0.5 µL per side) failed to affect CPP following two or four training sessions and blocked CPP produced by a standard 8-day conditioning schedule. Results suggest that CN acts as a negative regulator in the establishment of NAc amphetamine-produced CPP, a form of reward-related learning.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.338

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 head0.034
GPT teacher head0.247
Teacher spread0.212 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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