Genotoxicity of the Hydroquinone Metabolite of Ochratoxin A: Structure-Activity Relationships for Covalent DNA Adduction
Bibliographic record
Abstract
Ochratoxin A (OTA) is a mycotoxin that shows potent nephrotoxicity and renal carcinogenicity in rodents. One hypothesis for OTA-induced tumor formation is based on its genotoxic properties that are promoted by oxidative metabolism. Like other chlorinated phenols, OTA undergoes an oxidative dechlorination process to generate a quinone (OTQ)/hydroquinone (OTHQ) redox couple that may play a role in OTA-mediated genotoxicity. To determine whether the OTQ/OTHQ redox couple of OTA contributes to genotoxicity, the DNA adduction properties, as evidenced by the (32)P-postlabeling technique, of the hydroquinone analogue (OTHQ) have been compared to OTA in the absence and presence of metabolic activation (pig kidney microsomes) and within human bronchial epithelial (WI26) and human kidney (HK2) cells. Our experiments show that OTHQ generates DNA adduct spots in the absence of metabolic activation. These adducts are ascribed to covalent DNA adduction by OTQ generated through autoxidation of the hydroquinone precursor, OTHQ. Although OTA does not interact with DNA in the absence of metabolism, the OTQ-mediated DNA adduct spots noted with OTHQ are also observed with OTA following treatment with pig kidney microsomes and NADPH, suggesting that OTA undergoes oxidative activation to OTQ by cytochrome P450 or enzymes with peroxidase activity. Comparison of DNA adduction by OTHQ and OTA in human cell lines shows that OTQ-mediated adduct spots form in a dose- and time-dependent manner. The adduct spots form at a faster rate with OTHQ, which is consistent with more facile generation of OTQ from its hydroquinone precursor. These results establish structure-activity relationships for OTA-mediated DNA adduction and provide new evidence for the potential role of the OTQ/OTHQ redox couple in OTA-induced genotoxicity.
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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) | 0.002 | 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".