Metabolic polymorphisms and urinary biomarkers in subjects with low benzene exposure

被引:66
|
作者
Verdina, A
Galati, R
Falasca, G
Ghittori, S
Imbriani, M
Tomei, F
Marcellini, L
Zijno, A
Del Vecchio, V
Crebelli, R
机构
[1] Ist Super Sanita, Comparat Toxicol & Ecotoxicol Lab, I-00161 Rome, Italy
[2] Regina Elena Inst Canc Res, I-00161 Rome, Italy
[3] IRCCS, Fdn Salvatore Maugeri, Pavia, Italy
[4] Univ Pavia, Dept Prevent Occupat & Community Med, I-27100 Pavia, Italy
[5] Univ Roma La Sapienza, Inst Occupat Med, Rome, Italy
关键词
D O I
10.1080/152873901753246214
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The effect of some common metabolic polymorphisms on the rate of trans,trans-muconic acid (TMA) and S-phenylmercapturic acid (SPMA) excretion was investigated in 169 policemen exposed to low benzene levels (<10 <mu>g/m(3)) during the work shift. End-shift urinary concentrations of TMA and SPMA, normalized to unmetabolized blood benzene concentration, were used as indicators of individual metabolic capacity. CYP2E1, NQO1, GSTM1, and GSTT1 polymorphisms were analyzed in all subjects by polymerase chain reaction (PCR)-restriction fragment length (RFL). The results obtained show significantly elevated levels of TMA and SPMA in urine of smokers compared to nonsmokers, whereas no correlation with environmental benzene was observed. TMA/blood benzene ratio was partially modulated by glutathione S-transferase (GST) genotypes, with significantly higher values in null individuals (GSTM1 and GSTT1 combined). However, a greater fraction of total variance of TMA/blood benzene in the study population was explained by other independent variables, that is, season of sampling, smoking habits, and gender. Variance in SPMA/blood benzene ratio was only associated with smoking and occupation, whereas no significant role was observed for the metabolic polymorphisms considered. These results suggest that in a population exposed to very low benzene concentrations, urinary TMA and SPMA levels are affected to a limited extent by metabolic polymorphisms, whereas other factors, such as gender, lifestyle, or other confounders, may account for a larger fraction of the interindividual variability of these biomarkers.
引用
收藏
页码:607 / 618
页数:12
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