Endothelial Nitric-oxide Synthase Enhances Lipopolysaccharide-stimulated Tumor Necrosis Factor-α Expression via cAMP-mediated p38 MAPK Pathway in Cardiomyocytes
Bibliographic record
Abstract
The purpose of this study was to investigate the role of endothelial nitric-oxide synthase (eNOS), cAMP, and p38 MAPK in tumor necrosis factor-alpha (TNF-alpha) expression induced by lipopolysaccharide (LPS). LPS dose- and time-dependently induced phosphorylation of p38 MAPK and TNF-alpha expression in neonatal mouse cardiomyocytes. TNF-alpha expression was preceded by p38 MAPK phosphorylation, and selective inhibition of p38 MAPK abrogated LPS-induced TNF-alpha expression. Deficiency in eNOS decreased basal and LPS-stimulated TNF-alpha expression in cardiomyocytes. NOS inhibitor l-NAME attenuated LPS-induced p38 MAPK phosphorylation and TNF-alpha production in wild-type cardiomyocytes, whereas NO donor 2,2'-(hydroxynitrosohydrazono)bis-ethanamine (DETA-NO) (2 microm) or overexpression of eNOS by adenoviral gene transfer restored the response of eNOS(-/-) cardiomyocytes to LPS. These effects of NO were mediated through cAMP-dependent pathway based on the following facts. First, deficiency in eNOS decreased basal levels of intracellular cAMP, and DETA-NO elevated intracellular cAMP levels in eNOS(-/-) cardiomyocytes. Second, a cAMP analogue 8-Br-cAMP mimicked the effect of NO in eNOS(-/-) cardiomyocytes. Third, either inhibition of cAMP or cAMP-dependent protein kinase attenuated LPS-stimulated p38 MAPK phosphorylation and TNF-alpha production in wild-type cardiomyocytes. In conclusion, eNOS enhances LPS-stimulated TNF-alpha expression in cardiomyocytes. Activation of p38 MAPK is essential in LPS-stimulated TNF-alpha expression. Moreover, the effects of NO on LPS-stimulated TNF-alpha expression are mediated through cAMP/cAMP-dependent protein kinase-dependent p38 MAPK pathway in neonatal cardiomyocytes.
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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".