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对焦油工人中多环芳烃暴露生物标志物及早期生物学效应的路径分析。

Path analysis of biomarkers of exposure and early biological effects among coke-oven workers exposed to polycyclic aromatic hydrocarbons.

作者信息

Qiu Li, Leng Shuguang, Wang Zhongxu, Dai Yufei, Zheng Yuxin, Wang Zengzhen

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, PR China.

出版信息

Cancer Epidemiol Biomarkers Prev. 2007 Jun;16(6):1193-9. doi: 10.1158/1055-9965.EPI-07-0001.

Abstract

Many host factors or biomarkers are involved in the process of early DNA damage induced by occupational exposure to polycyclic aromatic hydrocarbons (PAH) as seen in coke-oven workers. This paper aimed to identify complicated causal interrelationship of various biomarkers using the path analysis. In this analysis, we included 235 subjects (166 coke-oven workers and 69 nonexposed controls) whose data on the comet assay (e.g., Olive tail moment) and cytogenetic analysis of peripheral blood lymphocytes as well as urinary 1-hydroxypyrene (1-OHP) were available. The path analysis showed that coke-oven exposure and tobacco smoke were both significant predictors of the concentrations of urinary 1-OHP (P < 0.05), with a coefficient of determination of 0.75. The factors having significant influence on the Olive tail moment were in the following order: urinary 1-OHP > XRCC1-exon 9 variant genotype > ERCC2-exon 10 variant genotype > XRCC1-exon 6 variant genotype, with a coefficient of determination of 0.22. The variables of relative importance in influencing on cytokinesis-block micronucleus frequencies were in the following order: coke-oven exposure > urinary 1-OHP > age > mEH3 variant genotype > ERCC2-exon 10 variant genotype > XRCC1-exon 6 variant genotype, with a coefficient of determination of 0.27. These results indicated that exogenous agents, especially the coke-oven exposure, played a more important role than the genotypes in the induction of early genetic damage. In conclusion, the path analysis seemed to be an alternative statistical approach for the ascertainment of complicated association among related biomarkers for the assessment of occupational exposure.

摘要

正如在焦炉工人中所见,许多宿主因素或生物标志物参与了职业性接触多环芳烃(PAH)诱导的早期DNA损伤过程。本文旨在通过路径分析确定各种生物标志物之间复杂的因果相互关系。在该分析中,我们纳入了235名受试者(166名焦炉工人和69名未接触者对照),他们有彗星试验(如橄榄尾矩)、外周血淋巴细胞细胞遗传学分析以及尿中1-羟基芘(1-OHP)的数据。路径分析表明,焦炉接触和烟草烟雾都是尿中1-OHP浓度的显著预测因素(P < 0.05),决定系数为0.75。对橄榄尾矩有显著影响的因素依次为:尿中1-OHP > XRCC1外显子9变异基因型 > ERCC2外显子10变异基因型 > XRCC1外显子6变异基因型,决定系数为0.22。在影响胞质分裂阻滞微核频率方面相对重要的变量依次为:焦炉接触 > 尿中1-OHP > 年龄 > mEH3变异基因型 > ERCC2外显子10变异基因型 > XRCC1外显子6变异基因型,决定系数为0.27。这些结果表明,外源性因素,尤其是焦炉接触,在早期遗传损伤诱导中比基因型起更重要的作用。总之,路径分析似乎是一种用于确定相关生物标志物之间复杂关联以评估职业接触的替代统计方法。

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