BH<sub>4</sub> (tetrahydrobiopterin)‐dependent activation, but not the expression, of inducible NOS (nitric oxide synthase)‐2 in proinflammatory cytokine‐stimulated, cultured normal human astrocytes is mediated by MEK–ERK kinases
Bibliographic record
Abstract
Nitric oxide (NO) from astrocytes is one of the signalers used by the brain's extensive glial-neuronal-vascular network, but its excessive production by pro-inflammatory cytokine-stimulated glial cells can be cytodestructive. Here, we show how three pro-inflammatory cytokines (IL-1beta, TNF-alpha, and IFN-gamma) together stimulated the activation, but not the prior expression, of NOS-2 protein via a mechanism involving MEK-ERKs protein kinases in astrocytes from adult human cerebral temporal cortex. The cytokines triggered a transient burst of p38 MAPK activity and the production of NOS-2 mRNA which were followed by bursts of MEK-ERK activities, synthesis of the NOS-2 co-factor tetrahydrobiopterin (BH(4)), a build-up of NOS-2 protein and from it active NOS-2 enzyme. Selectively inhibiting MEK1/MEK2, but not the earlier burst of p38 MAPK activity, with a brief exposure to U0126 between 24 and 24.5 h after adding the cytokine triad affected neither NOS-2 expression nor NOS-2 protein accumulation but stopped BH(4) synthesis and the assembly of the NOS-2 protein into active NOS-2 enzyme. The complete blockage of active NOS-2 production by the brief exposure to U0126 was bypassed by simply adding BH(4) to the culture medium. Therefore, this cytokine triad triggered two completely separable, tandem operating mechanisms in normal human astrocytes, the first being NOS-2 gene expression and accumulation of NOS-2 protein and the second being the synthesis of the BH(4) factor needed to dimerize the NOS-2 protein into active, NO-making NOS-2 enzyme.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".