Simultaneous analysis of urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol, N'-nitrosonornicotine, and cotinine by liquid chromatography-tandem mass-spectrometry.
Simultaneous analysis of urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol, N'-nitrosonornicotine, and cotinine by liquid chromatography-tandem mass-spectrometry.
复制标题
DOI：
10.1038/s41598-021-99259-z
复制
发表时间：
2021-10-08
影响因子：
4.6
通讯作者：
Stepanov I
中科院分区：
文献类型：
--
作者：
Nikam SS;Gurjar M;Singhavi H;Patil A;Singh A;Villalta P;Chaturvedi P;Khariwala SS;Gota V;Stepanov I
暴露于有害烟草成分的生物标志物是识别风险个人和制定干预措施和烟草控制措施的关键工具。然而，烟草生物标志物研究在世界上许多烟草使用流行率高的地区很少。我们的目标是在印度孟买的癌症治疗、研究和教育高级中心（ACTREC）建立一种同时分析尿中总4-（甲基亚硝胺）-1-（3-吡啶基）-1-丁醇（NNAL）、N′-亚硝基去甲烟碱（NNN）和可替宁的稳健方法。这些生物标志物分别是暴露于致癌烟草亚硝胺4-（甲基亚硝胺）-1-（3-吡啶基）-1-丁酮（NNK）和NNN以及成瘾生物碱尼古丁的有效措施。所建立的方法具有良好的准确度，线性和精密度，并成功地应用于分析15个无烟烟草（烟草）用户和15个非烟草用户在孟买招募。这是在印度实验室建立这种程序的第一份报告，为印度烟草使用者的烟草致癌研究提供了第一个国内能力。
Biomarkers of exposure to harmful tobacco constituents are key tools for identifying individuals at risk and developing interventions and tobacco control measures. However, tobacco biomarker studies are scarce in many parts of the world with high prevalence of tobacco use. Our goal was to establish a robust method for simultaneous analysis of urinary total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), N′-nitrosonornicotine (NNN), and cotinine at the Advanced Centre for Treatment, Research and Education in Cancer (ACTREC) in Mumbai, India. These biomarkers are validated measures of exposure to the carcinogenic tobacco nitrosamines 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and NNN and the addictive alkaloid nicotine, respectively. The established method is characterized by excellent accuracy, linearity, and precision, and was successfully applied to the analysis of 15 smokeless tobacco (SLT) users and 15 non-users of tobacco recruited in Mumbai. This is the first report of establishment of such procedure in a laboratory in India, which offers the first in-country capacity for research on tobacco carcinogenesis in Indian SLT users.
登录
查看更多内容
影响因子：
4.7
作者：
Knezevich, Aleksandar;Muzic, John;Stepanov, Irina
通讯作者：
Stepanov, Irina
影响因子：
4.1
作者：
Bustamante, Gabriela;Ma, Bin;Stepanov, Irina
通讯作者：
Stepanov, Irina
影响因子：
1.8
作者：
Dai, Tianming;Jiang, Weifan;Dai, Renke
通讯作者：
Dai, Renke
影响因子：
168.9
作者：
Gilmore, Anna B.;Fooks, Gary;Drope, Jeffrey;Bialous, Stella Aguinaga;Jackson, Rachel Rose
通讯作者：
Jackson, Rachel Rose
影响因子：
6.4
作者：
Stepanov, I;Hecht, SS;Gupta, PC
通讯作者：
Gupta, PC