Inhibition of p38 MAPK decreases myocardial TNF-alpha expression and improves myocardial function and survival in endotoxemia
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Bibliographic record
Abstract
OBJECTIVES: The role of p38 mitogen-activated protein kinase (MAPK) activation in lipopolysaccharide (LPS)-induced myocardial dysfunction has not been clearly defined. Our aim was to investigate the contribution of p38 MAPK in myocardial tumor necrosis factor-alpha (TNF-alpha) expression, cardiac function and survival during acute endotoxemia in mice. METHODS: Acute endotoxemia was induced by LPS (10 mg/kg, i.p.) in mice. Two hours after LPS treatment, left ventricular (LV) function was assessed. Phosphorylation of p38 MAPK was measured by Western blotting. TNF-alpha mRNA and protein levels were determined by semi-quantitative reverse-transcriptase polymerase chain reaction and enzyme-linked immunosorbent assay, respectively. RESULTS: LPS rapidly increased phosphorylation of p38 MAPK, followed by TNF-alpha mRNA expression and protein expression in the LV myocardium. Pre-treatment of the p38 MAPK inhibitor SB202190 (2 mg/kg, i.p.) decreased TNF-alpha mRNA and protein by 65 and 36%, respectively (P<0.05). Immunohistochemical staining confirmed that cardiomyocytes were the major source of TNF-alpha production in the myocardium and blocking p38 MAPK activation inhibited TNF-alpha expression in response to LPS. Pre-treatment of SB202190 or a TNF-alpha antagonist etanercept (2 mg/kg, i.p) significantly reversed LPS-induced LV depression (P<0.05). LPS (20 mg/kg, i.p.) induced 94% mortality in mice within 72 h and pre-treatment with SB202190 and etanercept decreased LPS-induced mortality to 65 and 40%, respectively (P<0.01). CONCLUSION: p38 MAPK activation represents an important mechanism leading to myocardial TNF-alpha production and cardiac dysfunction during acute endotoxemia in mice. Our data suggest that p38 MAPK is a potential therapeutic target of endotoxemia.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 it