Involvement of the Sst1 Somatostatin Receptor Subtype in the Intrahypothalamic Neuronal Network Regulating Growth Hormone Secretion: An<i>in Vitro</i>and<i>in Vivo</i>Antisense Study<sup>1</sup>
Bibliographic record
Abstract
Five somatostatin (SRIH) receptors (sst1-5) have been cloned. Recent anatomical evidence suggests that sst1 and sst2 may be involved in the central regulation of GH secretion. Given the lack of specific receptor antagonists, we used selective antisense oligodeoxynucleotides (ODNs) to test the hypothesis that one or both of these subtypes are involved in the intrahypothalamic network regulating pulsatile GH secretion. In mouse neuronal hypothalamic cultures the proportion of GHRH neurons coexpressing sst1 or sst2 messenger RNAs (mRNAs) was identical. In contrast, sst1 mRNAs were more often present than sst2 in SRIH-expressing neurons. Firstly, sst1 antisense ODN in vitro treatment abolished sst1, but not sst2, receptor modulation of glutamate sensitivity and decreased sst1, but not sst2, mRNAs. The reverse was true after treatment with sst2 antisense. Sense ODNs did not alter the effects of SRIH agonists. In a second series of experiments, nonanaesthetized adult male rats were infused for 120 h intracerebroventricularly with ODNs. Only the sst1 antisense ODN diminished the amplitude of ultradian GH pulses without modifying their frequency. In parallel, sst1 antisense ODN strongly diminished sst1 immunoreactivity in the anterior periventricular nucleus and median eminence, as well as sstl periventricular nucleus mRNA levels. The effectiveness of the sst2 antisense ODN was attested by the inhibition of hypothalamic binding of [125I]Tyr0-D-Trp8-SRIH. Scrambled ODNs had no effect on GH secretion or on sst mRNAs or SRIH binding levels. These results favor a preferential involvement of sst1 receptors in the intrahypothalamic regulation of GH secretion by SRIH.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".