Rihs Hans-Peter, Pesch Beate, Kappler Martin, Rabstein Sylvia, Rossbach Bernd, Angerer Jürgen, Scherenberg Michael, Adams Ansgar, Wilhelm Michael, Seidel Albrecht, Brüning Thomas
Berufsgenossenschaftliches Forschungsinstitut für Arbeitsmedizin (BGFA), Ruhr University of Bochum, Buerkle-de-la-Camp-Platz 1, 44789 Bochum, Germany.
Toxicol Lett. 2005 Jul 4;157(3):241-55. doi: 10.1016/j.toxlet.2005.02.012. Epub 2005 Apr 8.
A cross-sectional study was conducted in 170 German workers exposed to polycyclic aromatic hydrocarbons (PAH) to investigate the role of 11 polymorphisms of CYP1A1, CYP1A2, CYP1B1, CYP3A4, EPHX1, GSTM1, GSTT1, and GSTP1 in the association between occupational exposure to PAH and urinary PAH metabolites. Polymorphisms were genotyped with real-time PCR. Exposure to 16 PAH was measured by personal air sampling. Urinary concentrations of 1-hydroxypyrene (1-OHP) and the sum of 1-, 2+9-, 3-, and 4-hydroxyphenanthrenes (OHPhe) were determined post-shift. Urinary 1-OHP and OHPhe correlated significantly with exogenous pyrene (Spearman r=0.52, p<0.0001) and phenanthrene (Spearman r=0.72, p<0.0001), respectively. ANCOVA was applied to investigate potential predictors of the metabolite levels. Current smoking and type of industry turned out to be predictors of 1-OHP but not of OHPhe. CYP1A1 3801TC carriers showed 1.6-fold higher OHPhe levels than 3801TT carriers (p=0.03). EPHX1 113HH was associated with higher and 139RR with lower metabolite levels when compared with the corresponding reference genotypes (113YY; 139HH). In comparison to GSTP1 114AA, carriers of the V allele had 1.5-fold higher 1-OHP (p=0.03) and 2-fold higher OHPhe concentrations (p=0.001). OHPhe turned out to be also a suitable biomarker of occupational PAH exposure. The association with ambient PAH exposure and the influence of polymorphisms was more pronounced for OHPhe.
对170名接触多环芳烃(PAH)的德国工人进行了一项横断面研究,以调查细胞色素P450 1A1(CYP1A1)、细胞色素P450 1A2(CYP1A2)、细胞色素P450 1B1(CYP1B1)、细胞色素P450 3A4(CYP3A4)、环氧化物水解酶1(EPHX1)、谷胱甘肽S-转移酶M1(GSTM1)、谷胱甘肽S-转移酶T1(GSTT1)和谷胱甘肽S-转移酶P1(GSTP1)的11种多态性在职业性PAH暴露与尿PAH代谢物之间关联中的作用。采用实时聚合酶链反应(PCR)对多态性进行基因分型。通过个人空气采样测量16种PAH的暴露情况。下班后测定尿中1-羟基芘(1-OHP)以及1-、2+9-、3-和4-羟基菲(OHPhe)的总和浓度。尿中1-OHP和OHPhe分别与外源性芘(Spearman相关系数r = 0.52,p < 0.0001)和菲(Spearman相关系数r = 0.72,p < 0.0001)显著相关。应用协方差分析来研究代谢物水平的潜在预测因素。当前吸烟情况和行业类型被证明是1-OHP的预测因素,但不是OHPhe的预测因素。CYP1A1 3801TC携带者的OHPhe水平比3801TT携带者高1.6倍(p = 0.03)。与相应的参考基因型(113YY;139HH)相比,EPHX1 113HH与较高的代谢物水平相关,而139RR与较低的代谢物水平相关。与GSTP1 114AA相比,V等位基因携带者的1-OHP高1.5倍(p = 0.03),OHPhe浓度高2倍(p = 0.001)。结果表明,OHPhe也是职业性PAH暴露的合适生物标志物。OHPhe与环境PAH暴露的关联以及多态性的影响更为明显。