NADPH oxidase (NOX) isoforms are inhibited by celastrol with a dual mode of action
Bibliographic record
Abstract
BACKGROUND: Celastrol is one of several bioactive compounds extracted from the medicinal plant Tripterygium wilfordii. Celastrol is used to treat inflammatory conditions, and shows benefits in models of neurodegenerative disease, cancer and arthritis, although its mechanism of action is incompletely understood. EXPERIMENTAL APPROACH: Celastrol was tested on human NADPH oxidases (NOXs) using a panel of experiments: production of reactive oxygen species and oxygen consumption by NOX enzymes, xanthine oxidase activity, cell toxicity, phagocyte oxidase subunit translocation, and binding to cytosolic subunits of NOX enzymes. The effect of celastrol was compared with diphenyleneiodonium, an established inhibitor of flavoproteins. KEY RESULTS: Low concentrations of celastrol completely inhibited NOX1, NOX2, NOX4 and NOX5 within minutes with concentration-response curves exhibiting higher Hill coefficients and lower IC₅₀ values for NOX1 and NOX2 compared with NOX4 and NOX5, suggesting differences in their mode of action. In a cell-free system, celastrol had an IC₅₀ of 1.24 and 8.4 µM for NOX2 and NOX5, respectively. Cytotoxicity, oxidant scavenging, and inhibition of p47(phox) translocation could not account for NOX inhibition. Celastrol bound to a recombinant p47(phox) and disrupted the binding of the proline rich region of p22(phox) to the tandem SH3 domain of p47(phox) and NOXO1, the cytosolic subunits of NOX2 and NOX1, respectively. CONCLUSIONS AND IMPLICATIONS: These results demonstrate that celastrol is a potent inhibitor of NOX enzymes in general with increased potency against NOX1 and NOX2. Furthermore, inhibition of NOX1 and NOX2 was mediated via a novel mode of action, namely inhibition of a functional association between cytosolic subunits and the membrane flavocytochrome.
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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 | 0.000 |
| 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) | 0.001 | 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".