Somatostatin Receptors in Brain and Pituitary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Somatostatin (SRIF) actions in the brain and pituitary are mediated by specific receptors. Using radioiodinated ligands it has been possible to characterize the kinetics of specific binding sites in the brain and pituitary, and to determine their cellular localization by autoradiography. At the pituitary level, the inhibition of growth hormone, prolactin and thyrotropin secretions induced by SRIF is mediated through a single binding site which is coupled to the inhibition of adenylate cyclase. In the brain, SRIF receptors are localized on neurons and glial cells and are also coupled to adenylate cyclase inhibition. Two sites are differentiated in the brain with an analogue of somatostatin, SMS 201995. In humans, SRIF-binding sites have been related to a number of pathologies. At the pituitary level, it has been shown that the number of binding sites was negatively correlated to growth hormone levels in acromegaly. Furthermore, SRIF-binding sites were undetectable in a patient which did not respond to SMS 201995 therapy. In the brain, meningiomas and gliomas are rich in SRIF binding sites. This suggests a possible role for SRIF on glia. In neurodegenerative diseases, cortical SRIF concentrations are decreased in Alzheimer's and Parkinson's disease associated with dementia while SRIF-binding sites are only affected in Alzheimer's disease. In conclusion, the physiological role of SRIF in the brain and pituitary can be evaluated by studying the receptors of the peptide. Such studies allow to question the implication of SRIF in endocrine and neuropathologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it