Regulation of acute cortisol synthesis by cAMP-dependent protein kinase and protein kinase C in a teleost species, the rainbow trout (Oncorhynchus mykiss)
Bibliographic record
Abstract
The effects of cAMP-dependent protein kinase (PKA) and protein kinase C (PKC) on acute ACTH-stimulated cortisol secretion were assessed using a specific PKA inhibitor (H-89) and a PKC activator (phorbol 12-myristate 13-acetate, PMA) in dispersed head kidney cells of rainbow trout (Oncorhynchus mykiss). To investigate the sites of action of both PKA and PKC, pregnenolone (a cortisol precursor stemmed from the rate limiting step in cortisol synthesis) and 25-OH-cholesterol (an exogenous substrate that bypasses the rate limiting step) were used as substrates, with and without ACTH stimulation. Inhibition of PKA decreased ACTH-stimulated cortisol secretion while activation of PKC had the same effect, demonstrating that PKA stimulates and PKC inhibits cortisol synthesis. Inhibition of PKA and activation of PKC had no significant effect on pregnenolone-stimulated cortisol synthesis, indicating that both PKA and PKC act upstream from the pregnenolone step. Inhibition of PKA and activation of PKC had no significant effect on basal cortisol secretion in the presence of 25-OH-cholesterol, suggesting that PKA and PKC exert their effects on the mitochondrial cholesterol translocation step. This study provided evidence for the stimulatory role of PKA and the inhibitory role of PKC in the signalling pathways leading to cortisol synthesis in teleosts.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".