Arginine-Vasopressin in Anterior Pituitary Cells: In situ Hybridization of mRNA and Ultrastructural Localization of Immunoreactivity
Bibliographic record
Abstract
The hypothalamic nonapeptide arginine-vasopressin (AVP) exerts several distinct receptor-mediated actions on pituitary cells. Although hypothalamic AVP reaches the anterior pituitary via well-defined pathways, there is now accumulating evidence that AVP may also be produced endogenously in anterior pituitary cells. Using in situ hybridization, we demonstrate here the presence of AVP mRNA in the anterior pituitary of the rat. The observed grain density over pituitary cells was, however, greater than 10-fold lower than the one observed over AVP producing neurons present in the supraoptic and paraventricular nuclei of the hypothalamus. Immunoelectron microscopic analysis using two different AVP-specific antibodies revealed that the distribution of AVP-like immunoreactivity (AVP-LI) in the anterior pituitary is cell-specific. AVP-LI is most abundant in corticotrophs, followed by lactotrophs, gonadotrophs and thyrotrophs. On the other hand, there is complete absence of AVP-LI from somatotrophs. Interestingly, all pituitary cells in which AVP-LI is detected also represent potential target sites for AVP action. A minor fraction of AVP-LI was found to be membrane-associated and may originate, at least in part, from extrapituitary sources. This fraction likely represents receptor-bound peptide. The bulk of AVP-LI, however, was present in the cellular cytoplasm, not associated with any specific ultracellular structure. Specifically in corticotrophs, AVP-LI was excluded from secretory granules. However, our finding of AVP mRNA in anterior pituitary cells indicates that intracellular AVP-LI includes endogenously produced peptide, suggesting a paracrine and/or autocrine action.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".