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PAHs多途径暴露的健康风险评估和生物标志物的研究

发布时间:2018-08-15 14:11
【摘要】:目的 1、通过对研究对象呼吸和饮食途径摄入PAHs的水平进行分析,分析季节对呼吸和饮食摄入PAHs的影响及两种途径摄入PAHs的相对比例并评估两种途径摄入PAHs对研究对象所致的健康风险,确定两种途径对人体健康危害的程度,以采取相应的措施保护人群健康。 2、通过对尿中OH-PAHs和8-OHdG的测定,寻找全面而准确地评价PAHs内暴露生物标志物,并探讨在一般人群中用8-OHdG反映PAHs暴露所致早期遗传损伤的可行性。 方法 用GC-MS分析颗粒物和食物中PAHs的水平及尿中OH-PAHs的水平,用ELISA分析尿中8-OHdG的水平;用两独立样本Mann-Whitney U检验分析季节对颗粒物和食物中PAHs含量的影响,用蒙特卡洛模拟评估呼吸和饮食途径摄入PAHs的致癌风险。用Spearman函数分析OH-PAHs间及和8-OHdG间的相关性,用欧氏距离法分析OH-PAHs与颗粒物及食物中其原型化合物间的相关性,用多元线性回归分析PAHs对8-OHdG的影响。 结果 1.季节对颗粒物中16种PAHs的影响差异均具有统计学意义(P0.05),且低环PAHs夏季高于冬季,高环PAHs冬季高于夏季;季节对食物PAHs中Aci、Flu、 BbFlu、Ant、Chr和BkFlu的影响差异具有统计学意义(P0.05),且除了Aci外均为夏季高于冬季。夏季呼吸途径PAHs暴露所占比例为2%,饮食途径所占比例为98%;冬季呼吸途径所占比例为5%,饮食途径所占比例为95%。 2.尿中OH-PAHs的浓度按照1-OHNap2-OHNap9-OHFlu2-OHFlu3-OHPhe2-OHPhe3-OHFlu4-OHPhe1-OHPyr2-OHBcPhe6-OHChr的顺序递减,尿中OH-PAHs以低环的Nap、Flu和Phe为主。1-OHPyr与其它OH-PAHs间显著相关,rs为0.454-0.902(P0.01)。各种OH-PAHs与颗粒物载带的其原型化合物之间的相关性按照1-OHPyr6-OHChr2-OHNap2-OHFlu2-OHBcPhe的顺序递减;与食物中其原型化合物之间的相关性按照1-OHPyrΣ OHNap6-OHChr2-OHBcPhe2-OHFlu的顺序递减。除1-OHNap和2-OHBcPhe外,其余9种OH-PAHs与8-OHdG间的相关性均具有统计学意义(P0.05)。 3.单因素分析PAHs、1-OHNap、2-OHBcPhe、年龄、性别、吸烟、饮酒和锻炼对8-OHdG水平的影响无统计学意义,BMI及其他9种OH-PAHs对8-OHdG水平的影响有统计学意义(P0.05),且8-OHdG随BMI的减少及OH-PAHs的增加而增加;经多元线性回归分析未发现OH-PAHs和BMI对尿中8-OHdG水平有影响。 4.呼吸PAHs暴露研究对象ILCR夏季和冬季分别为-2.37×10"8~2.53×10-6和-1.81×10-6_1.78×10-,夏季和冬季呼吸PAHs暴露的ILCR均值分别为1.70×10-7和2.16x10-6;饮食PAHs暴露夏季和冬季的ILCR分别为2.27×10"8-7.48×10-5和4.87×10-1~1.42x10-5,夏季和冬季ILCR的均值分别为2.60×10-6和1.34×10-6。 结论 1.夏季饮食PAHs暴露的致癌风险略高于呼吸PAHs暴露的致癌风险,而冬季呼吸PAHs暴露的致癌风险略高于饮食PAHs暴露的风险,但都在可接受的风险水平内。 2.可以将尿中的2-OHNap、2-OHFlu和2-OHBcPhe结合1-OHPyr更为准确和全面的反映呼吸和饮食途径PAHs总体内暴露水平;可将8-OHdG作为一般人群PAHs暴露早期遗传毒性效应的敏感生物标志物。
[Abstract]:objective
1. By analyzing the level of PAHs intake by respiratory and dietary pathways, the influence of season on PAHs intake by respiration and diet and the relative proportion of PAHs intake by two pathways were analyzed, and the health risk of PAHs intake by two pathways was assessed to determine the degree of harm of two pathways to human health, so as to adopt corresponding measures. Measures to protect people's health.
2. Through the determination of urinary OH-PAHs and 8-OHdG, to find a comprehensive and accurate assessment of PAHs exposure biomarkers, and to explore the feasibility of using 8-OHdG in the general population to reflect the early genetic damage caused by PAHs exposure.
Method
The levels of PAHs in particulate matter and food were analyzed by GC-MS, and the levels of OH-PAHs in urine were analyzed by ELISA. The effects of seasons on the contents of PAHs in particulate matter and food were analyzed by Mann-Whitney U test with two independent samples, and the carcinogenic risk of PAHs intake by respiratory and dietary pathways was assessed by Monte Carlo simulation. The correlation between OH-PAHs and 8-OHdG was analyzed. The correlation between OH-PAHs and particulate matter and their prototype compounds in food was analyzed by Euclidean distance method. The effect of PAHs on 8-OHdG was analyzed by multiple linear regression.
Result
1. Seasonal effects on 16 PAHs in particulate matter were statistically significant (P 0.05), and low-ring PAHs were higher in summer than in winter, and high-ring PAHs were higher in winter than in summer. Seasonal effects on Aci, Flu, BbFlu, Ant, Chr and BkFlu in food PAHs were statistically significant (P 0.05), and they were higher in summer than in winter except Aci. S exposure accounted for 2%, dietary pathway accounted for 98%, winter respiratory pathway accounted for 5%, dietary pathway accounted for 95%.
2. The concentration of OH-PAHs in urine decreases according to the sequence of 1-OHNap2-OHNap9-OHFlu2-OHFlu3-OHPhe2-OHPhe3-OHFlu4-OHPhe1-OHPyr2-OHBcPhe6-OHChr. OH-PAHs in urine are mainly low-ring Nap, Flu and Phe. 1-OHPyr are significantly correlated with other OH-PAHs, and the correlation between OH-PAHs and their prototype compounds is 0.454-0.902 (P.01). The correlation decreases in the order of 1-OHPyr 6-OHChr 2-OHNap 2-OHFlu 2-OHBcPhe, and decreases in the order of 1-OHPyr_OHNap 6-OHChr 2-OHBcPhe 2-OHFlu. Except for 1-OHNap and 2-OHBcPhe, the correlation between the other nine OH-PAHs and 8-OHdG is statistically significant (P 0.05).
3. Univariate analysis showed that PAHs, 1-OHNap, 2-OHBcPhe, age, sex, smoking, drinking and exercise had no significant effect on the level of 8-OHdG, BMI and other nine kinds of OH-PAHs had significant effect on the level of 8-OHdG (P 0.05), and 8-OHdG increased with the decrease of BMI and the increase of OH-PAHs; Multiple linear regression analysis showed that OH-PAHs and BMI had no effect on the level of 8-OHdG. Urinary 8-OHdG levels were affected.
4. ILCR in summer and winter were - 2.37 *10"8-2.53 *10-6 and - 1.81 *10-6 1.78 10 -, respectively, and the mean ILCR in summer and winter were 1.70 10-7 and 2.16 10-6, respectively. ILCR in summer and winter were 2.27 10" 8-7.48 10-5 and 4.87 10-1.42 10-5, respectively, and ILCR in summer and winter were 2.27 10 10 10 5 and 4.87 The mean values were 2.60 x 10-6 and 1.34 x 10-6., respectively.
conclusion
1. The carcinogenic risk of dietary PAHs exposure in summer was slightly higher than that of respiratory PAHs exposure, while the carcinogenic risk of winter respiratory PAHs exposure was slightly higher than that of dietary PAHs exposure, but both were within acceptable risk levels.
2. Urinary 2-OHNap, 2-OHFlu and 2-OHBcPhe can be combined with 1-OHPyr to more accurately and comprehensively reflect the overall level of PAHs exposure in the respiratory and dietary pathways; 8-OHdG can be used as a sensitive biomarker for the early genetic toxicity of PAHs exposure in the general population.
【学位授予单位】:天津医科大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:R114

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