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Time and Age-Based Trends of Chemical Exposure Biomarkers in the United States from 1999- 2014

机译:1999年至2014年美国基于时间和年龄的化学暴露生物标志物趋势

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Individuals are exposed to complex chemical mixtures, driven by behavioral, socioeconomic, and demographic factors. To systematically address the interactions between chemical exposure and demographic and lifestyle factors, we have developed an untargeted approach to study the 1999-2014 National Health and Nutrition Examination Survey (NHANES) data of over 300 chemical biomarkers in 82,000 study participants. The present study aims 1) to determine chemical exposure differences between young and older individuals; 2) to identify chemicals with increasing exposure in the US population by determining biomarker time trends; and 3) to evaluate key determinants that explain these patterns, particularly considering half-lives in human. We use a series of multivariate linear regression models that include age, sex, study years, ethnicity, smoking behaviors, poverty income ratio, and creatinine levels as covariates and chemical biomarker concentration as the outcome. Metabolites from chemicals in personal care products such as benzophenone-3, parabens, and triclosan along with arsenobetaine and enterodiol are higher in young individuals, while 2,5-dichlorophenol, mono-benzyl phthalate, and NNAL are elevated in the older population. Concentrations of 1-pyrene, mono-isobutyl phthalate, 2-phenanthrene, 2-napthol, and perfluorononanoic acid are significantly increasing over time. Correlation analysis between the half-lives in human and age coefficient (yearly increase in the log-transformed biomarker concentration) demonstrates a positive correlation with R~2 = 0.5 when considering over 50 chemicals with half-lives of more than 1000 hours. Systematically studying the NHANES biomarker dataset by applying an untargeted approach allows for the identification of expected and unexpected exposure trends by age and over time. These findings can be utilized to prioritize chemicals for toxicological evaluation or targeted environmental health interventions.
机译:在行为,社会经济和人口统计学因素的驱动下,个人会接触到复杂的化学混合物。为了系统地解决化学暴露与人口和生活方式因素之间的相互作用,我们开发了一种非目标方法来研究82,000名研究参与者中300多种化学生物标记物的1999-2014年国家健康与营养检查调查(NHANES)数据。本研究的目的是1)确定年轻人和老年人之间的化学暴露差异; 2)通过确定生物标志物的时间趋势来确定在美国人群中暴露量不断增加的化学品; 3)评估解释这些模式的关键决定因素,尤其是考虑到人类的半衰期。我们使用一系列多元线性回归模型,其中包括年龄,性别,研究年限,种族,吸烟行为,贫困收入比和肌酐水平作为协变量,化学生物标志物浓度作为结果。个人护理产品中化学品的代谢物,例如二苯甲酮3,对羟基苯甲酸酯和三氯生,以及砷代甜菜碱和肠二醇,在年轻人中较高,而2,5-二氯苯酚,邻苯二甲酸单苄基酯和NNAL在老年人中则较高。 1-py,邻苯二甲酸单异丁酯,2-菲,2-萘酚和全氟壬酸的浓度随时间显着增加。人类半衰期与年龄系数(对数转换的生物标志物浓度逐年增加)之间的相关性分析表明,当考虑50种半衰期超过1000小时的化学药品时,R〜2 = 0.5呈正相关。通过应用无针对性的方法系统地研究NHANES生物标志物数据集,可以根据年龄和时间确定预期和意料之外的暴露趋势。这些发现可用于为毒理学评估或针对性的环境健康干预措施对化学品进行优先级排序。

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