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Record W2146369276 · doi:10.1017/neu.2015.24

α<sub>2</sub>-adrenoceptor binding in Flinders-sensitive line compared with Flinders-resistant line and Sprague-Dawley rats

2015· article· en· W2146369276 on OpenAlexaff
Thea P. Lillethorup, Peter Iversen, Gregers Wegener, Doris J. Doudet, Anne M. Landau

Bibliographic record

VenueActa Neuropsychiatrica · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLine (geometry)Second lineAdrenergic receptorFirst lineMedicineInternal medicineReceptorMathematics

Abstract

fetched live from OpenAlex

OBJECTIVES: Disturbances in the noradrenergic system, including alterations in the densities of α2-adrenoceptors, are posited to be involved in the pathophysiology of depression. In this study, we investigate the binding of α2-adrenoceptors in regions relevant to depression in an animal model of depression. METHODS: Using in vitro autoradiography techniques and the selective α2-ligand, [3H]RX 821002, we investigated the density of α2-adrenoceptors in female Flinders-sensitive line (FSL) rats, a validated model of depression, and in two traditional control groups - female Flinders-resistant line (FRL) and Sprague-Dawley (SD) rats. RESULTS: The α2-adrenoceptor density was increased in most regions of the FSL rat brain when compared with SD rats (10% across regions). Moreover, the α2-adrenoceptor density was further increased in the FRL rats compared with both FSL (10% across regions) and SD rats (24% across regions). CONCLUSIONS: The increase in α2-adrenoceptor binding in cortical regions in the FSL strain compared with the SD control strain is in accord with α2-adrenoceptor post-mortem binding data in suicide victims with untreated major depression. However, the differences in binding observed in the two control groups were unexpected and suggest the need for further studies in a larger cohort of animals of both sexes.

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 categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.272
Teacher spread0.227 · 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.

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

Citations16
Published2015
Admission routes1
Has abstractyes

Explore more

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