Nuclear Factor-κB–Mediated Cell Survival Involves Transcriptional Silencing of the Mitochondrial Death Gene BNIP3 in Ventricular Myocytes
Bibliographic record
Abstract
BACKGROUND: A survival role for the transcription factor nuclear factor-kappaB (NF-kappaB) in ventricular myocytes has been reported; however, the underlying mechanism is undefined. In this report we provide new mechanistic evidence that survival signals conferred by NF-kappaB impinge on the hypoxia-inducible death factor BNIP3. METHODS AND RESULTS: Activation of the NF-kappaB signaling pathway by IKKbeta in ventricular myocytes suppressed mitochondrial permeability transition pore (PTP) opening and cell death provoked by BNIP3. Expression of IKKbeta or p65 NF-kappaB suppressed basal and hypoxia-inducible BNIP3 gene activity. Deletion analysis of the BNIP3 promoter revealed the NF-kappaB elements to be crucial for inhibiting basal and inducible BNIP3 gene activity. Cells derived from p65(-/-)-deficient mice or ventricular myocytes rendered defective for NF-kappaB signaling with a nonphosphorylative IkappaB exhibited increased basal BNIP3 gene expression, mitochondrial PTP, and cell death. Genetic or functional ablation of the BNIP3 gene in NF-kappaB-defective myocytes rescued them from mitochondrial defects and cell death. CONCLUSIONS: The data provide new compelling evidence that NF-kappaB suppresses mitochondrial defects and cell death of ventricular myocytes through a mechanism that transcriptionally silences the death gene BNIP3. Collectively, our data provide new mechanistic insight into the mode by which NF-kappaB suppresses cell death and identify BNIP3 as a key transcriptional target for NF-kappaB-regulated expression in ventricular myocytes.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".