Nitric oxide signaling via cGMP‐stimulated phosphodiesterase in striatal neurons
Bibliographic record
Abstract
Nitric oxide (NO) acts in the nervous system to activate guanylyl cyclase and increase cGMP. One target for cGMP appears to be the cGMP-stimulated phosphodiesterase (PDE2A), which is widely expressed in the brain and provides a molecular mechanism for NO to regulate cAMP levels. We have found that PDE2A is highly expressed in the medium spiny neurons of the striatum, which project to the pallidum and substantia nigra. These cells express dopamine-stimulated adenylyl cyclase, and we have found that increases in cAMP in these neurons, produced by activation of the D1-type dopamine receptor, are dramatically enhanced by the general phosphodiesterase inhibitor 3-isobutyl-1-methylxanthine and the PDE2A-selective inhibitor erythro-p-(2-hydroxyl-3-nonyl)adenine (EHNA). These results indicate that PDE2A plays a major role in regulating dopamine-stimulated cAMP production in striatal neurons. EHNA also enhances NO-induced increases in striatal cGMP. In addition, dopamine appears to act via another receptor, activated by the agonist SKF83959, to increase striatal cGMP in a NO-dependent manner. Together, these observations indicate that striatal NO producing interneurons can act via the PDE2A in the medium spiny neurons to regulate the cAMP response to dopamine stimulation.
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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) | 0.000 | 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 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".