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Record W2051417420 · doi:10.1159/000124760

Dual Action of Dopamine on Growth Hormone Release in vitro

2008· article· en· W2051417420 on OpenAlexaff
Omar Serri, N Deslauriers, Paul Brazea

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsEndocrinologyInternal medicineDopamineAnterior pituitaryMetoclopramideSomatropinBiologySecretionAntagonistChemistryHormoneGrowth hormoneReceptorMedicine

Abstract

fetched live from OpenAlex

The effect of dopamine (DA) on growth hormone (GH) release was studied in perifused freshly dispersed rat anterior pituitary cells. Pulses of DA (0.01-100 nmol/l), each applied for 30 min, resulted in a prompt rise in GH release. This effect was reversible, concentration-dependent and partially antagonized by metoclopramide, a DA antagonist. The effect of DA was further tested on GH-stimulated secretion by human GH-releasing factor (hGRF). Perifusion with hGRF (6.25 pmol/l) for 2 min elicited an immediate rapid increase in GH release which lasted 20 min. Pretreatment of cells with DA (100 nmol/l) for 10 min and a subsequent hGRF challenge during continuation of DA perifusion significantly reduced the effect of hGRF pulses on GH release. The present data suggest that DA has direct opposite actions at the somatotroph level, stimulating the basal GH release and inhibiting the hGRF-induced GH secretion, and may thus be an important modulator of GH release.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.040
GPT teacher head0.270
Teacher spread0.230 · 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

Citations9
Published2008
Admission routes1
Has abstractyes

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