NADPH Oxidase-Mediated Superoxide Production by Intermediary Bacterial Metabolites of Dibenzofuran: A Potential Cause for Trans-Mitochondrial Membrane Potential (ΔΨm) Collapse in Human Hepatoma Cells
Bibliographic record
Abstract
Dibenzofuran is a direct precursor of extremely toxic compounds such as dioxins. It is widely distributed persistent organic pollutant in environment that potentiate oxidative stress, apoptosis, and necrosis through bioactivation in HepG2 cells. An alkalotolerent Pseudomonas strain ISTDF1 can metabolize dibenzofuran as a sole source of carbon and energy through diverse dioxygenation. However, there is a paucity of information about the potential toxic effects of the intermediary metabolites that are formed during treatment with dibenzofuran. We have assessed and discovered the potential mechanism of toxicity induced by metabolites of dibenzofuran that were formed at 18 and 36 h. Cell viability, CYP1A2 induction, ROS activity, Superoxide production, mitochondrial NADPH oxidase activity, and mitochondrial trans-membrane potential were studied using different assays such as 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), confocal laser scanning microscopy, and flow cytometry. Analysis revealed formation of 2-(1-carbonyl methylidine)-2,3-dihydrobenzofuranlidene after 18 h of bacterial treatment due to oxygenation at carbon (C3-C4). This compound induces higher mitochondrial NADPH oxidase-dependent superoxide production that makes it more toxic than the parent compound. It was evident that after 36 h of bacterial treatment, toxicity induced by dibenzofuran and its metabolites was completely removed. This study highlights the fact that despite of efficient biodegradation of toxicants, bioactive toxic intermediates can be formed. Therefore, it is necessary to assess the toxicity of each intermediary for complete mitigation of associated risk.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".