Lysosomal Oxidative Stress Cytotoxicity Induced By Para-phenylenediamine Redox Cycling In Hepatocytes
Bibliographic record
Abstract
It has already been reported that muscle necrosis induced by various phenylenediamine derivatives are correlated with their autoxidation rate. Now in a more detailed investigation of the cytotoxic mechanism using a model system of isolated hepatocytes and ring-methylated structural isomer durenediamine (DD) we have shown that under aerobic conditions, phenylenediamine induced cytotoxicity and ROS formation were markedly increased by inactivating DT-diaphorase but were prevented by a subtoxic concentration of the mitochondrial respiratory inhibitor cyanide. This suggests that the H 2 O 2 generation could be attributed to a futile two electron redox cycle involving oxidation of phenylenediamine to the corresponding diimine by the mitochondrial electron transfer chain and re-reduction by the DT- diaphorase. The subcellular organelle oxidative stress effects leading to cytotoxicity has not yet been identified. Hepatocyte mitochondrial membrane potential was only slightly decreased by phenylenediamine before cytotoxicity ensued. However phenylenediamine induced lysosomal damage and hepatocyte protease activation. Endocytosis inhibitors, lysosomotropic agents or lysosomal protease inhibitors also prevented phenylenediamine induced cytotoxicity. Furthermore desferoxamine (a ferric chelator), antioxidants or ROS scavengers (catalase, mannitol, tempol or dimethylsulfoxide) prevented phenylenediamine cytotoxicity. It is concluded that H 2 O 2 reacts with lysosomal Fe 2+ to form “ROS” which causes lysosomal lipid peroxidation, membrane disruption, protease release and cell death.
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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".