The role of oxidative stress in the toxicity of pyridoxal isonicotinoyl hydrazone (PIH) analogues
Bibliographic record
Abstract
Pyridoxal isonicotinoyl hydrazone (PIH) analogues are effective iron chelators in vivo and in vitro, and may be of value for the treatment of secondary iron overload. The sensitivity of Jurkat cells to Fe-chelator complexes was enhanced several-fold by the depletion of the antioxidant glutathione, indicating the role of oxidative stress in their toxicity. K562 cells loaded with eicosapentaenoic acid, a fatty acid particularly susceptible to oxidation, were also more sensitive to the toxic effects of the Fe complexes, and toxicity was proportional to lipid peroxidation. Thus Fe-chelator complexes cause oxidative stress, which may be a major component of their toxicity. As was the case for their Fe complexes, the toxicity of PIH analogues was enhanced by glutathione depletion of Jurkat cells and eicosapentaenoic acid-loading of K562 cells. Thus the toxicity of the chelators themselves is also enhanced by compromised cellular redox status. In addition, the toxicity of the chelators was diminished by culturing Jurkat cells under hypoxic conditions, which may limit the production of the reactive oxygen species that initiate oxidative stress. A significant part of the toxicity of the chelators may be due to intracellular formation of Fe-chelator complexes, which oxidatively destroy the cell.
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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".