The p38 MAPK Inhibitor SB203580 Induces Cytochrome P450 1A1 Gene Expression in Murine and Human Hepatoma Cell Lines through Ligand-Dependent Aryl Hydrocarbon Receptor Activation
Bibliographic record
Abstract
We have previously shown that the p38 MAPK inhibitor SB203580 (SB) significantly induced Cyp1a1 gene expression at the mRNA and activity levels, whereas it dramatically inhibited the induction of Cyp1a1 by TCDD in murine hepatoma Hepa 1c1c7 cells. However, the molecular mechanisms involved were not investigated yet. Therefore, the current study aims to examine the capacity of SB to induce the constitutive CYP1A1 gene expression in Hepa 1c1c7 and HepG2 cells and to explore the mechanisms involved. Our results showed that SB induced the Cyp1a1 mRNA, protein, and activity levels in a concentration-dependent manner in Hepa 1c1c7 cells. The increase in Cyp1a1 mRNA by SB was completely blocked by the transcriptional inhibitor, actinomycin D, implying that SB increased de novo RNA synthesis. In addition, the lack of Cyp1a1 induction by SB in mutant aryl hydrocarbon receptor (AhR)-deficient C12 cells and with cotreatment with the AhR antagonist, α-naphthoflavone, clearly suggests an AhR-dependent induction. This was further supported by the ability of SB to induce Cyp1a1 independent from its effect on MAPKs, and to bind to and activate AhR transformation and its subsequent binding to the xenobiotic responsive element (XRE). This is the first demonstration that the p38 MAPK inhibitor, SB can directly bind to and activate AhR-induced Cyp1a1 gene expression in an AhR-dependent manner and represents a novel mechanism by which SB induces this enzyme.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".