Control of Proglucagon-Derived Peptide Synthesis and Secretion in Fetal Rat Hypothalamus
Bibliographic record
Abstract
The hypothalamus has the highest concentration of proglucagon-derived peptides (Pgdp's) in the brain, however, the control of the synthesis and secretion of these peptides is not understood. The goal of our studies was to examine in detail the regulation of synthesis and secretion of Pgdp's in the hypothalamus. Hypothalamic cultures were prepared from fetal rats on day 19-21 of gestation and Pgdp's in media and cells were determined by radioimmunoassay after treatment with test agents. Dibutyryl cyclic AMP or forskolin, activators of protein kinase A, markedly stimulated both Pgdp synthesis (by 5-fold) and secretion (by 10-fold) after 24 h of treatment (p < 0.05). The effects of protein kinase A stimulation on Pgdp's in the hypothalamus were greater than seen in our previous studies with the Pgdp-producing pancreatic A and intestinal L cells. Therefore there are tissue-specific differences with regard to the magnitude of the response of Pgdp's to protein kinase A stimulation. Consistent with an involvement of protein kinase A in hypothalamic Pgdp synthesis and secretion, somatostatin-14, an inhibitor of protein kinase A, was found to inhibit Pgdp synthesis and secretion in a dose-dependent fashion (p < 0.05). Phorbol myristate acetate (PMA), a stimulator of protein kinase C, did not significantly affect the synthesis or secretion of Pgdp's at 6 h, but significantly stimulated Pgdp secretion after 24 h (p < 0.05). The inactive phorbol ester, phorbol triacetate was without effect on Pgdp synthesis or secretion after 24 h of incubation (p > 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)
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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 | 0.001 |
| 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".