Novel Aspects of Growth Hormone (GH) Autoregulation: GH-Induced GH Gene Expression in Grass Carp Pituitary Cells through Autocrine/Paracrine Mechanisms
Bibliographic record
Abstract
GH feedback on its own secretion at the pituitary level has been previously reported, but the mechanisms involved have not been elucidated. Here we examined the autocrine/paracrine effects of GH on GH synthesis using grass carp pituitary cells as a cell model. GH receptors were identified in carp somatotrophs, and their activation by exogenous GH increased steady-state GH mRNA levels and GH production. Removal of endogenous GH by immunoneutralization using GH antiserum inhibited basal as well as stimulated GH mRNA expression induced by GH-releasing factors in fish, including GnRH, apomorphine, and pituitary adenylate cyclase-activating polypeptide-38. Cytosolic mature GH mRNA levels were elevated by GH treatment and reduced by GH antiserum, whereas nuclear GH primary transcripts were almost undetectable after GH immunoneutralization. Inhibition of Janus kinase-2 (JAK2), phosphoinositide 3-kinase, and MAPK also abolished GH-induced steady-state GH mRNA expression. GH immunoneutralization in pituitary cells pretreated with actinomycin D induced a marked decrease in the half-life of GH mRNA, indicating that the clearance of GH transcripts could be enhanced by removing endogenous GH. These results provide evidence that GH can serve as a novel intrapituitary autocrine/paracrine factor maintaining GH gene expression in somatotrophs, and this action is mediated by JAK2/MAPK and JAK2/phosphoinositide 3-kinase cascades coupled to GH receptors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".