NF‐κB and AP‐1 differentially contribute to the induction of Mn‐SOD and eNOS during the development of oxidant tolerance
Bibliographic record
Abstract
Exposure of cardiac myocytes to anoxia/reoxygenation (A/R) increases myocyte oxidant stress and converts the myocytes to a proinflammatory phenotype. These oxidant-induced effects are prevented by pretreatment of the myocytes with an oxidant stress (A/R or H2O2) 24 h earlier (oxidant tolerance). Although NF-kappaB and AP-1 (nuclear signaling) and Mn-SOD and eNOS (effector enzymes) have been implicated in the development oxidant tolerance, the precise relationship between the nuclear transcription factors and the effector enzymes in the development of oxidant tolerance has not been defined. Herein, we show that an initial A/R challenge results in nuclear accumulation of both NF-kappaB and AP-1 (EMSA). In addition, blockade of nuclear translocation of NF-kappaB (SN50) or AP-1 (decoy oligonucleotide) prevents the development of oxidant tolerance, i.e., the second A/R challenge produces the same quantitative effects as the initial A/R challenge. In this model, nuclear translocation of both NF-kappaB and AP-1 is required for induction of Mn-SOD, while nuclear translocation of AP-1, but not NF-kappaB, is a prerequisite for induction of eNOS. Collectively, our findings indicate that NF-kappaB and AP-1 work in concert to ensure the induction eNOS and Mn-SOD, which in turn are important for the development of oxidant tolerance.
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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".