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Record W2027768462 · doi:10.1159/000125598

Dopaminergic Regulation of Brain Gonadotropin-Releasing Hormone in Male Goldfish during Spawning Behavior

2008· article· en· W2027768462 on OpenAlexafffund
Yu Liu, Richard E. Peter

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPimozideEndocrinologyInternal medicineDopaminergicApomorphineCerebrumGonadotropin-releasing hormoneGonadotropinBiologyDopamineHormoneCentral nervous systemLuteinizing hormoneMedicineHaloperidol

Abstract

fetched live from OpenAlex

Dopaminergic regulation of gonadotropin-releasing hormone (GnRH) concentrations in discrete brain areas of male goldfish was studied using the centrally active dopaminergic agonist apomorphine and antagonist pimozide. Pimozide caused time- and dose-dependent increases in serum gonadotropin levels and accumulation of GnRH in the olfactory bulbs, telencephalon and pituitary. The effects of pimozide were partially antagonized by apomorphine, which, when given alone, did not influence basal levels of brain GnRH and serum gonadotropin, but inhibited the increases in brain GnRH and serum gonadotropin levels that normally occur in response to spawning stimuli from prostaglandin-treated females. To study the physiological significance of the accumulation of brain GnRH due to central dopaminergic receptor blockade, the influences of pimozide on the brain GnRH and serum gonadotropin responses of male goldfish to spawning stimuli were tested. Pimozide pretreatment potentiated the serum gonadotropin increases and caused a marked reduction in the GnRH levels in olfactory bulbs, telencephalon and pituitary in response to spawning stimuli. These findings demonstrate that the central dopaminergic system is an important inhibitory component in the regulatory circuitry of brain GnRH levels in normal and behaviorally stimulated male goldfish.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.605

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 head0.020
GPT teacher head0.246
Teacher spread0.226 · 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 designObservational
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

Citations49
Published2008
Admission routes2
Has abstractyes

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