A direct requirement of nuclear factor-κB for suppression of apoptosis in ventricular myocytes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nuclear factor-kappa B (NF-kappa B) is a ubiquitously expressed cellular factor regulated by the cytoplasmic factor inhibitor protein kappa B alpha (I kappa B alpha). Activation of NF-kappa B by cytokines, including tumor necrosis factor-alpha (TNF-alpha), requires the phosphorylation and degradation of I kappa B alpha. An anti-apoptotic role for NF-kappa B has recently been suggested. In the present study, we ascertained whether death-promoting signals and apoptosis mediated by TNF-alpha are suppressed by NF-kappa B in postnatal ventricular myocytes. Stimulation of myocytes with TNF-alpha resulted in a 12.1-fold increase (P < 0.01) in NF-kappa B-dependent gene transcription and DNA binding compared with controls. This was accompanied by a corresponding increase in the NF-kappa B target protein A20 as determined by Western blot analysis. Vital staining revealed that TNF-alpha was not cytotoxic to myocytes and did not provoke apoptosis. Adenovirus-mediated delivery of a nonphosphorylatable form of I kappa B alpha to inactivate NF-kappa B prevented TNF-alpha-stimulated NF-kappa B-dependent gene transcription and nuclear NF-kappa B DNA binding. Importantly, myocytes stimulated with TNF-alpha and defective for NF-kappa B activation resulted in a 2.2-fold increase (P < 0.001) in apoptosis. To our knowledge, the data provide the first indication that a functional NF-kappa B signaling pathway is crucial for suppressing death-promoting signals mediated by TNF-alpha in ventricular myocytes.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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