Effects of corticosterone on corticotrophin‐releasing hormone and gastrin‐releasing peptide release in response to an aversive stimulus in two regions of the forebrain (central nucleus of the amygdala and prefrontal cortex)
Bibliographic record
Abstract
Previous research has shown that chronic corticosterone treatment increases the expression of corticotrophin-releasing hormone (CRH) mRNA at the central nucleus of the amygdala (CeA). Like CRH, gastrin-releasing peptide (GRP) appears to be involved in mediation of the stress response and is released at the CeA during exposure to an acute stressor. Using in-vivo microdialysis, this study examined the effects of corticosterone treatment on the release of CRH and GRP in response to an airpuff challenge at two forebrain regions, the CeA and medial prefrontal cortex. Adrenally intact rats were treated with corticosterone by systemic implants over a 14-day period prior to microdialysis probe insertion. We found that, at both regions, the airpuff-induced CRH and GRP release were enhanced in the corticosterone pellet-implanted rats as compared with the release observed in the vehicle-implanted control rats. These findings suggest that chronic corticosterone exposure potentiates the stressor-elicited release of CRH and GRP. As cortisol dysregulation has frequently been reported in people with psychiatric conditions, such as anxiety disorders or depression, a better understanding of the glucocorticoid-mediating regulation of CRH and GRP may provide insight into the underlying neurochemical mechanisms involved in both adaptive fear-type responses and maladaptive responses leading to pathology.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".