Histone Deacetylase-3 Activation Promotes Tumor Necrosis Factor-α (TNF-α) Expression in Cardiomyocytes during Lipopolysaccharide Stimulation
Bibliographic record
Abstract
Lipopolysaccharides (LPS) induce tumor necrosis factor-alpha (TNF-alpha) production in cardiomyocytes, which contributes to myocardial depression during sepsis. However, the underlying mechanisms remain not fully understood. This study was undertaken to investigate the contribution of histone deacetylase (HDAC) to TNF-alpha expression in cardiomyocytes and the signaling mechanism of LPS-induced HDAC activation. Here, we show for the first time that LPS increases HDAC activity and that inhibition of HDAC decreases LPS-stimulated TNF-alpha expression via the accumulation of NF-kappaB/p65 at the TNF-alpha promoter in cardiomyocytes. Using a positive screen, we have further identified HDAC3 as a specific member of the HDAC family able to regulate TNF-alpha production. Furthermore, our data reveal that LPS-induced HDAC activity is mediated through reactive oxygen species from mitochondria and c-Src signaling. In summary, this study demonstrates a novel signaling mechanism by which LPS via mitochondrial reactive oxygen species/c-Src/HDAC3 pathways mediate TNF-alpha expression in 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 | 0.001 |
| 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) | 0.002 | 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".