Lysosomal Oxidative Stress Cytotoxicity Induced by Dacarbazine and It’s Pyridine Derivative in Hepatocytes
Bibliographic record
Abstract
Dacarbazine (DTIC) is a synthetic chemical antitumor agent which is used to treat malignant melanoma and Hodgkin’s disease. DTIC is a prodrug which is converted to an active form undergoing demethylation by liver enzymes. The active form prevents the progress of disease via alkylation of DNA strand. In the structure of this drug, the imidazole ring, a triazen chain and carboxamide group exist. Based on the literature, the ring and carboxamide group do not have a key role in antitumor activity of the drug. On the other hand, imidazole ring has a unique tautomerization which may participate in the mechanism of action of DTIC and carboxamide group may determine the rich guanine pieces in DNA strand. In order to investigate the mechanistic role of imidazole group and its known tautomerization in DTIC cytotoxicity, derivative of DTIC with a pyridine ring (3-(3,3-dimethyl-1triazenyl)pyridine, (compound I) instead of imidazole ring was synthesized. In the following, the cellular and molecular mechanism of cytotoxicity induced by DTIC and its pyridine derivative toward the isolated rat hepatocytes were studied and compared. Hepatocyte reactive oxygen species (ROS) generation was significantly increased by both DTIC and compound B before cytotoxicity ensued. In addition, DTIC and compound I induced lysosomal damage and hepatocyte protease activation. Endocytosis inhibitors, lysosomotropic agents or lysosomal protease inhibitors also prevented both DTIC and compound B induced hepatocytes cytotoxicity. Furthermore desferoxamine (a ferric chelator), antioxidants or ROS scavengers (catalase, mannitol or dimethylsulfoxide) prevented both DTIC and compound I cytotoxicity. It is concluded that H 2 O 2 reacts with lysosomal Fe 2+ to form hydroxyl radical which (Haber-Weiss reaction) causes lysosomal membrane disruption, proteases and other digestive enzymes release and finally the cell death.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".