Influences of Catecholamines on Growth Hormone Release in Female Goldfish, Carassius auratus
Bibliographic record
Abstract
The influence of catecholamines on growth hormone (GH) release in female goldfish was investigated by monitoring serum GH levels following injections of drugs known to alter catecholamine synthesis and neural activities. Intraperitoneal (i.p.) injection of 6-hydroxydopamine, a catecholaminergic neurotoxin, or alpha-methyl-p-tyrosine, a catecholamine synthesis inhibitor, decreased serum GH levels. Intraperitoneal injection of L-beta-dihydroxyphenylalanine (L-dopa) increased serum GH concentrations in a dose-dependent manner. The L-dopa-induced increase in serum GH was potentiated by i.p. injection of carbidopa, which would increase the availability of L-dopa to brain tissues by blocking the peripheral conversion of L-dopa to dopamine (DA). These results suggest that L-dopa or one of its catecholamine metabolites acts centrally to increase GH release. Intraventricular (i.v.t.) injection of DA and i.p. injection of apomorphine, a DA agonist that crosses the blood-brain barrier, increased serum GH. Intraperitoneal injection of DA did not alter circulating GH levels in normal fish or fish bearing preoptic lesions that abolish an inhibitory hypothalamic influence on GH release; however, DA increased serum GH in fish which had their blood-brain barrier destroyed by sham operation procedures. These results indicate that DA acts centrally to stimulate GH secretion, possibly by inhibiting the release and/or synthesis of GH release-inhibitory factor. Serum GH concentrations were decreased in a dose-dependent manner by i.p. injection of norepinephrine (NE), whereas i.v.t. injection of NE did not alter serum GH levels. These results indicate that NE acts outside of the blood-brain barrier to decrease serum GH levels in the goldfish, possibly by directly influencing pituitary GH cells.(ABSTRACT TRUNCATED AT 250 WORDS)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".