IL-10 attenuates TNF- -induced NF B pathway activation and cardiomyocyte apoptosis
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Bibliographic record
Abstract
AIMS: We have recently reported that tumour necrosis factor-alpha (TNF-alpha) increases oxidative stress and apoptosis in cardiomyocytes by upregulating p38 mitogen-activated protein (MAP) kinase (MAPK) phosphorylation. Interleukin-10 (IL-10) blocked these effects of TNF-alpha by upregulating extracellular signal-regulated kinase 1/2 (ERK 1/2) MAPK phosphorylation. However, the precise site of this IL-10 action is still unknown, and this is investigated in the present study. METHODS AND RESULTS: Cardiomyocytes isolated from adult Sprague-Dawley rats were exposed to TNF-alpha (10 ng/mL), IL-10 (10 ng/mL), and IL-10+TNF-alpha (ratio 1) for 4 h. Hydrogen peroxide and antioxidant trolox were used as positive controls. Exposure to TNF-alpha resulted in an increase in the production of reactive oxygen species, the number of apoptotic cells, caspase-3 activation, and poly-ADP ribose polymerase (PARP) cleavage. Increased oxidative stress by using hydrogen peroxide also caused apoptosis. The changes due to TNF-alpha were associated with an increase in the inhibitor of kappaB kinase (IKK) and nuclear factor kappa-B (NF kappaB) phosphorylation. IL-10 by itself had no effect, but it prevented the above mentioned TNF-alpha-induced changes. Trolox also mitigated TNF-alpha induced changes. Pre-exposure of cells to an IKK inhibitor (PS-1145) prevented TNF-alpha-induced caspase-3 and PARP cleavage. Inhibition of ERK 1/2 MAPK with PD98059 attenuated the protective role of IL-10 against TNF-alpha-induced activation of IKK and NF kappaB as well as cardiomyocyte apoptosis. CONCLUSION: The present study shows that TNF-alpha-induced activation of the NF kappaB pathway plays a critical role in cardiomyocyte apoptosis. IL-10 prevents TNF-alpha-induced NF kappaB activation and pro-apoptotic changes in cardiomyocytes by inhibiting IKK phosphorylation through the activation of ERK 1/2 MAPK.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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