Expression of <i>sstr1</i> and <i>sstr2</i> in Rat Hypothalamus: Correlation with Receptor Binding and Distribution of Growth Hormone Regulatory Peptides
Bibliographic record
Abstract
With the aim of elucidating the role of individual somatostatin receptors in the central control of growth hormone secretion, we have examined the distribution of sstr1 and sstr2 mRNAs in the hypothalamus of the adult rat by in situ hybridization using 35S-labelled antisense riboprobes. Both receptors were expressed strongly in the preoptic area, suprachiasmatic nucleus and arcuate nucleus. High sstr1, but low sstr2, expression was evident in the paraventricular and periventricular nuclei as well as in the ventral premammillary nucleus. Conversely, moderate to high sstr2, but low sstr1, mRNA levels were detected in the anterior hypothalamic nucleus, ventromedial and dorsomedial nuclei and medial tuberal nucleus. Within the arcuate nucleus, the distribution of cells expressing sstr1 and sstr2 was comparable to that of neurons which bind somatostatin-14 selectively, one third of which have been documented to contain growth hormone-releasing hormone. Within the periventricular nucleus, the distribution of cells expressing sstr1 and, to a lesser extent, sstr2 was reminiscent of that of both [125I]somatostatin-labelled and somatostatin-immunoreactive cells. Taken together, these results imply a role for both sstr1 and sstr2 receptors in the central regulation of growth hormone-releasing hormone and somatostatin secretion, and hence of growth hormone release, by somatostatin.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".