Norepinephrine Induction of Mitogen-Activated Protein Kinase Phosphatase-1 Expression in Rat Pinealocytes: Distinct Roles of α- and β-Adrenergic Receptors
Bibliographic record
Abstract
In this study, we investigated the mechanisms through which norepinephrine (NE) regulates MAPK phosphatase-1 (MKP-1) expression in rat pinealocytes. Stimulation with NE (a mixed alpha- and beta-adrenergic agonist) caused a rapid increase in MKP-1 mRNA and protein that peaked around 1 h post stimulation, and the response was sustained for at least 4 h. Selective activation of beta-adrenergic receptors with isoproterenol for 1 h caused a similar increase in MKP-1 mRNA and protein as observed with NE, but at 3 h, the isoproterenol response was much lower relative to NE. In contrast, selective activation of alpha-adrenergic receptors caused only small increases in MKP-1 mRNA and protein and appeared to function primarily in prolonging the beta-adrenergic-stimulated responses. In NE-stimulated pinealocytes, blockade of beta-adrenergic receptors caused a rapid reduction in MKP-1 mRNA, but it had a minimal effect on MKP-1 protein. In contrast, blockade of alpha-adrenergic receptors specifically reduced NE-induced MKP-1 protein but not mRNA. At the postreceptor level, treatment with dibutyryl cAMP caused parallel increases in MKP-1 mRNA and protein. However, treatment with a protein kinase C activator caused a significant increase in MKP-1 protein but had little effect on MKP-1 mRNA. Together, these results suggest that, in rat pinealocytes, NE activates the beta-adrenergic receptor --> protein kinase A pathway to induce transcription and translation of MKP-1 expression and the alpha-adrenergic receptor --> protein kinase C pathway to prolong the stimulated responses through increased stability of the MKP-1 protein.
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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 | 0.001 |
| 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".