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Record W1975512162 · doi:10.1002/syn.20401

Elevated dopamine D2<sup>High</sup> receptors in α‐1b‐adrenoceptor knockout supersensitive mice

2007· article· en· W1975512162 on OpenAlexaff
Jean‐Pol Tassin, Y. Torrens, Lucas Salomon, Christophe Lanteri, Philip Seeman

Bibliographic record

VenueSynapse · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsKnockout mouseChemistryAmphetamineDopamine receptor D2ReceptorDopaminergicDopamineDopamine receptorInternal medicineEndocrinologyAdrenergic receptorBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Although amphetamine induces hyperactivity by releasing dopamine (DA), mice that lack alpha1b-adrenoceptors do not release DA in response to amphetamine and do not, therefore, exhibit locomotor supersensitivity to amphetamine. However, such mice reveal hyperlocomotion to p-chloroamphetamine (PCA). Because these alpha1b-adrenoceptor knockout mice have no alterations in the striatal densities of DA D1 or D2 receptors, the basis for any possible dopaminergic contribution to the PCA-induced hyperlocomotion to PCA is unclear. Therefore, because supersensitive animals are generally known to have a higher proportion of DA D2 receptors in the high-affinity state for DA D2(High), we investigated whether there was any change in the alpha1b-adrenoceptor knockout striata in the proportion of DA D2(High) receptors to determine whether there could be a DA-based contribution to the PCA-induced hyperlocomotion. We found that the proportion of D2(High) in the wild type striata was 23 +/- 3.3%, whereas that in the alpha1b-adrenoceptor knockout striata was 52 +/- 2.9%, an increase of 2.3-fold. This elevation agrees with other types of DA-supersensitive animal striata and could assist in eliciting a supersensitive response in these alpha1b-adrenoceptor knockout mice.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.020
GPT teacher head0.269
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2007
Admission routes1
Has abstractyes

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