Central and Feedback Regulation of Hypothalamic Corticotropin‐Releasing Factor Secretion
Bibliographic record
Abstract
Physical, emotional and metabolic stressors activate the hypothalamo-pituitary-adrenal (HPA) axis via multiple neural pathways. Final hypothalamic coding of stressor-induced adrenocorticotropic hormone (ACTH) secretion is mediated by differential release of ACTH secretagogues. These include, but may not be limited to, corticotropin-releasing factor (CRF), arginine vasopressin, oxytocin and, possibly, adrenaline. Among these substances, CRF serves as the predominant regulatory factor of this axis because its presence is obligatory for the action of intrinsically weaker secretagogues. Because neural input-encoding qualities of individual stressors utilize, in part, stimulus-specific pathways, the effectiveness of glucocorticoid negative feedback in modulating ongoing and subsequent activity of the HPA axis is dependent upon the type of stressor and the nature of the neural pathways mediating the initial activity. Studies suggest that responses to physical stressors (for example, haemorrhage) are resistant to classical intermediate feedback, whereas those to emotional/cognitive stressors (such as a novel environment) are strongly susceptible to feedback. Overall functional characteristics of the HPA axis in adult organisms are at least partially a result of neonatal experience. In the adult differences in hypothalamic CRF mRNA levels, median eminence peptide content and pituitary responsiveness to stressors can be correlated with aspects of neonatal experience.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".