Resveratrol, a natural aryl hydrocarbon receptor antagonist, protects lung from DNA damage and apoptosis caused by benzo[<i>a</i>]pyrene
Bibliographic record
Abstract
Benzo[a]pyrene (BaP) is an agonistic ligand for the aryl hydrocarbon receptor (AhR) and a major environmental carcinogen implicated in the aetiology of lung cancer through the induction of benzo[a]pyrene diol epoxidation (BPDE) and BPDE-DNA adducts. Because BaP metabolization requires cytochrome P-450 1A1 (CYP1A1) induction through activation of the AhR, we hypothesized that resveratrol, a natural competitive inhibitor of AhR, could prevent these adverse effects of BaP on the lung. Balb-C mice were injected for 5 weeks with corn oil, BaP (5 mg kg(-1) week(-1)), resveratrol (50 mg kg(-1) week(-1)) or BaP + resveratrol. Immunohistochemistry was performed on lung sections for the determination of CYP1A1 protein, BPDE-DNA adducts and apoptosis. A semi-quantitative immunohistochemistry score (H score) was used for data analysis. Mice exposed to BaP had a significant induction of lung BPDE-DNA adducts when compared with controls (H scores: control, 26, interquartile range 18-33; BaP, 276, interquartile range 269-288; P < 0.01). The BPDE-DNA adduct induction by BaP was abrogated significantly by resveratrol (H score: BaP + resveratrol, 103, interquartile range 96-113). A similar pattern was found by immunohistochemistry for apoptosis (H scores: control, 121, interquartile range 102-137; BaP, 288, interquartile range 282-292, P < 0.05; BaP + resveratrol, 132, interquartile range 121-141, P = NS) and CYP1A1 (H scores: control, 170.3, interquartile range 164-175; BaP, 302.3, interquartile range 291-315, P < 0.05; BaP + resveratrol, 200.7, interquartile range 174-215, P = NS). Western blotting confirmed that resveratrol prevented BaP-induced CYP1A1 expression. This increase in CYP1A1 expression in response to BaP administration most likely causes BaP metabolism, BPDE-DNA adduct formation and subsequent apoptosis. All BaP-induced effects could be prevented by resveratrol, suggesting a possible chemopreventive role for this natural phytoalexin against the development of lung cancer.
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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) | 0.001 | 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 | 0.001 |
| 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 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".