Suppr超能文献

利用机理模型阐明体重指数与多氯联苯浓度之间的关系。

Unravelling the Relationship between Body Mass Index and Polychlorinated Biphenyl Concentrations Using a Mechanistic Model.

机构信息

Department of Physical and Environmental Sciences, University of Toronto Scarborough , 1265 Military Trail, Toronto, Ontario, Canada M1C 1A4.

Department of Chemistry, University of Toronto Scarborough , 1265 Military Trail, Toronto, Ontario, Canada M1C 1A4.

出版信息

Environ Sci Technol. 2016 Sep 20;50(18):10055-64. doi: 10.1021/acs.est.6b01961. Epub 2016 Sep 12.

Abstract

Human biomonitoring (HBM) often reveals statistical associations between persistent organic pollutant (POP) concentrations and body mass index (BMI). Both negative and positive associations have been observed, which has been hypothesized to reflect variable toxicokinetics in lean and obese individuals during times of increasing and decreasing exposure. We examined this hypothesis and assessed the influence of the obesity epidemic on time trends in human exposure to polychlorinated biphenyls (PCB) at the population level using a mechanistic modeling approach and data from the National Health and Nutrition Examination Survey (NHANES) 1999-2004. Using model results for PCB-153, we simulated cross-sectional body burden versus BMI trends (CBBTs), as well as population level body burden versus time trends. Negative associations between PCB-153 concentrations and BMI are predicted for all birth cohorts in HBM studies conducted in the 1990s, while for future cross-sectional studies, we predict negative or positive relationships depending on the age group sampled. At the population level, demographic changes such as the obesity epidemic and population aging had only marginal influence on the simulated rate of decline in PCB-153 concentrations between 1980 and 2010. Mechanistic bioaccumulation models can help unravel relationships between age, BMI, and POP concentrations, informing efforts to understand potential obesogenic effects of POPs.

摘要

人体生物监测 (HBM) 经常揭示持久性有机污染物 (POP) 浓度与体重指数 (BMI) 之间的统计关联。已经观察到了负面和正面的关联,这被假设反映了在暴露增加和减少期间瘦人和肥胖个体的可变毒代动力学。我们使用一种基于机制的建模方法和来自国家健康和营养检查调查 (NHANES) 1999-2004 年的数据,检验了这一假设,并评估了肥胖流行对人群中多氯联苯 (PCB) 暴露的时间趋势的影响。利用 PCB-153 的模型结果,我们模拟了横断面体负荷与 BMI 趋势 (CBBT) 以及人口水平体负荷与时间趋势之间的关系。在 20 世纪 90 年代进行的 HBM 研究中,所有出生队列的 PCB-153 浓度与 BMI 之间都预测存在负相关关系,而对于未来的横断面研究,我们根据采样的年龄组预测了负相关或正相关关系。在人口水平上,肥胖流行和人口老龄化等人口结构变化对 1980 年至 2010 年间 PCB-153 浓度模拟下降率的影响只有微小的影响。基于机制的生物累积模型可以帮助揭示年龄、BMI 和 POP 浓度之间的关系,为了解 POP 的潜在肥胖效应提供信息。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验