Li Zhenjiang, Li Zhiwen, Zhang Jingxu, Huo Wenhua, Zhu Yibing, Xie Jing, Lu Qun, Wang Bin
Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
Department of Child, Adolescent and Women's Health, School of Public Health, Peking University, Beijing 100191, PR China.
Environ Pollut. 2017 Mar;222:276-282. doi: 10.1016/j.envpol.2016.12.044. Epub 2016 Dec 28.
Quantifying population exposure level to tobacco smoke is important for investigating its adverse effects on human health. We aimed to investigate the feasibility and application of using population hair concentrations of nicotine and cotinine to indicate their exposure level to tobacco smoke among pregnant women. Our study recruited 256 mothers who delivered healthy babies and collected their hair samples from scalp, of which 172 mothers were self-reported non-passive smokers and the other 84 mothers were self-reported passive smokers. We analyzed nicotine and cotinine concentrations of the hair section grown during the early pregnancy. The linear relationship between cotinine and nicotine was developed and validated by internal cross-validation method. Our results revealed that self-reported passive smokers had higher concentrations of nicotine [2.08 (1.00-4.46) ng/mg hair, i.e. median value (inter-quartile range)] and cotinine [0.063 (0.041-0.148) ng/mg hair] than non-passive smokers [1.35 (0.58-2.59) ng/mg hair of nicotine and 0.049 (0.022-0.087) ng/mg hair of cotinine, respectively]. There existed a linear regression model between hair cotinine and nicotine concentrations, i.e. [cotinine] = 0.024 × [nicotine]+0.0184 (R = 0.756) for this population. The internal cross-validation squared correlation coefficient slightly increased from 0.689 to 0.734 with the training subjects varying from 20% to 90%, suggesting that this regression model had high robustness and predictive accuracy. It was concluded that nicotine in maternal hair can evaluate the hair cotinine level and reflect maternal passive exposure level to ambient tobacco smoke with high sensitivity.
量化人群对烟草烟雾的暴露水平对于研究其对人类健康的不利影响至关重要。我们旨在研究利用孕妇头发中尼古丁和可替宁的浓度来指示其烟草烟雾暴露水平的可行性及应用情况。我们的研究招募了256名分娩出健康婴儿的母亲,并从她们的头皮采集头发样本,其中172名母亲自述为非被动吸烟者,另外84名母亲自述为被动吸烟者。我们分析了孕早期生长的头发段中尼古丁和可替宁的浓度。可替宁与尼古丁之间的线性关系通过内部交叉验证法得以建立和验证。我们的结果显示,自述为被动吸烟者的尼古丁浓度[2.08(1.00 - 4.46)ng/mg头发,即中位数(四分位间距)]和可替宁浓度[0.063(0.041 - 0.148)ng/mg头发]高于非被动吸烟者[尼古丁分别为1.35(0.58 - 2.59)ng/mg头发,可替宁为0.049(0.022 - 0.087)ng/mg头发]。该人群头发中可替宁与尼古丁浓度之间存在线性回归模型,即[可替宁] = 0.024×[尼古丁] + 0.0184(R = 0.756)。随着训练对象从20%变化到90%,内部交叉验证平方相关系数从0.689略微增加到0.734,表明该回归模型具有较高的稳健性和预测准确性。研究得出结论,母体头发中的尼古丁能够评估头发中的可替宁水平,并以高灵敏度反映母体对环境烟草烟雾的被动暴露水平。