Ectopic overexpression of haem oxygenase‐1 protects kidneys from carboplatin‐mediated apoptosis
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: We previously reported that the activation of the nuclear factor of activated T-lymphocyte-3 (NFAT3) by carboplatin leads to renal apoptosis as a result of oxidative stress, which is reversed by N-acetylcysteine. Herein, we extend our previous work to provide evidence of the molecular mechanisms of haem oxygenase (HO)-1 in protecting against injury. EXPERIMENTAL APPROACH: Protective mechanisms of HO-1 in carboplatin-mediated renal apoptosis were examined in C57BL/6 mice and rat renal tubular cells (RTC) with HO-1 induction or inactivation/knockdown. KEY RESULTS: The HO-1, induced by cobalt protoporphyrin, protected against carboplatin-induced renal injury in vivo. This protection was decreased by an inhibitor of HO-1 action, tin protoporphyrin. In cultures of RTC, carboplatin-induced apoptosis was similarly affected by HO-1 overexpression or knockdown. Carboplatin-mediated NFAT3 activation and apoptosis involve activation of the signalling kinases, extracellular signal regulated kinase, Jun N-terminal kinase and protein kinase C, and such activation was reversed in cells overexpressing HO-1. Both products of the HO-1 reaction, CO and bilirubin, inhibited (by 30-40%) NFAT3 activation and production of the pro-apoptotic proteins Bcl-XS/Bax. Additionally, the activation of NFκB was markedly decreased by HO-1 induction. CONCLUSION AND IMPLICATIONS: HO-1 and its reaction products show anti-apoptotic effects in carboplatin-mediated renal injury. A novel functional NFAT3 binding site identified in the rat HO-1 promoter region was involved in producing a 1.5-fold to 2.5-fold increase in HO-1 induction by carboplatin. Nevertheless, only HO-1 overexpression and activation prior to the carboplatin challenge provided protection against carboplatin-induced injury.
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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 | 0.001 |
| 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".