3.8 Article

The effect of relevant genotypes on PAH exposure-related biomarkers

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NATURE PUBLISHING GROUP
DOI: 10.1038/sj.jea.7500204

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aromatic DNA adducts; coke oven workers; genetic polymorphism; 1-hydroxpyrene; urine mutagenicity

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Polycyclic aromatic hydrocarbons (PAHs) in coke oven emissions cause a cancer risk to humans. In a comprehensive biomonitoring study among Estonian coke oven workers, we looked at the effect of genetic polymorphisms in metabolic enzymes on urinary mutagenicity, 1-hydroxypyrene (1-OHP) concentration in urine, and aromatic DNA adducts in white blood cells (WBCs). Coke oven workers were sampled twice (samplings 1 and 11), and controls only once at the time of sampling 1. Urinary mutagenicity was measured using the Ames test. CYP1A1, microsomal epoxide hydrolase (mEH), and glutathione S-transferase (GST) genotypes were analyzed by polymerase chain reaction (PCR). Urinary mutagenicity did not differ between exposed and controls, but those coke oven workers who were smokers had significantly higher (P=0.0002) mutagenic activity in urine than nonsmokers. Urinary mutagenicity was moderately correlated to levels of 1-OHP and aromatic DNA adducts, the P values ranging from 0.0005 to 0.002. Carriers of a variant allele in exon 4 of mEH (Arg(139)) had elevated urinary mutagenicity (sampling 1). In addition, urine mutagenicity of persons with predicted high mEH activity was significantly higher. Smoking habit did not explain the differences observed in urinary mutagenicity between mEH phenotype or genotype subgroups. Variation in exon 3 of mEH (His(113)) was related to a significantly (P=0.01) higher 1-OHP concentration in exposed workers (sampling 11). Workers from sampling I who had an Arg(139) variation in mEH had lower levels of adducts in lymphocytes (P=0.01) than others, while airborne benzo[a]pyrene (B[a]P) and His(113) variation affected interactively on adduct levels. Our study shows that a comprehensive assessment of exposure is essential for elucidation of PAH exposure at a workplace. Even at high exposures metabolic polymorphisms seem to have some effect on biomarker levels, and should be assessed in biomonitoring studies.

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