NF-κB Signaling Is Increased in HD3 Cells Following Exposure to 1,4-Benzoquinone: Role of Reactive Oxygen Species and p38-MAPK a
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Bibliographic record
Abstract
In utero exposure to benzene, a known environmental contaminant, is associated with increased risk of leukemia. We have previously shown that in utero benzene exposure can alter the redox-sensitive transcription factor NF-κB, and we hypothesize that this is through benzene-induced reactive oxygen species (ROS) production interfering with the signaling pathway involving NF-κB and p38-Mitogen Activated Protein Kinase (MAPK). As benzoquinone (BQ) is one of benzene's most toxic metabolites, the objectives of this study were to determine whether ROS and p38-MAPK-mediated BQ-induced increased NF-κB activity. HD3 chicken erythroblast cells were transfected with an NF-κB luciferase-linked reporter plasmid and exposed to BQ (25 μM) for 2-24 h. NF-κB activities were determined through luciferase assays; Western blotting was conducted to assess changes in protein levels in nontransfected cells; and the presence of ROS was determined via 2',7'-dichlorodihydrofluorescein diacetate (DCFDA) flow cytometric assays. Results demonstrated that NF-κB activity was significantly increased following exposure to BQ for 16 and 24 h and DCFDA assays and pretreatment with antioxidants indicated that BQ-mediated ROS production was responsible for this increase. Furthermore, decreased inhibitor of kappaB-alpha (IκB-α) expression suggests that nuclear factor-kappaB (NF-κB) translocates into the nucleus and that p38-MAPK activation through a ROS-dependent pathway mediates BQ-mediated increases in NF-κB activity. Future studies investigating the role of p38-MAPK in this pathway are warranted. Evaluating the effects of toxicant exposure on cell signaling pathways is vital for understanding mechanisms of xenobiotic-induced toxicity.
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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 | 0.001 | 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 it