Chao Yi-Sheng, Wu Chao-Jung, Wu Hsing-Chien, Hsu Hui-Ting, Tsao Lien-Cheng, Cheng Yen-Po, Lai Yi-Chun, Chen Wei-Chih
Independent Researcher, Montreal, QC, Canada.
Département d'informatique, Université du Québec à Montréal, Montreal, QC, Canada.
Front Public Health. 2020 Sep 9;8:460. doi: 10.3389/fpubh.2020.00460. eCollection 2020.
Biomonitoring can be conducted by assessing the levels of chemicals in human bodies and their surroundings, for example, as was done in the Canadian Health Measures Survey (CHMS). This study aims to report the leading increasing or decreasing biomarker trends and determine their significance. We implemented a trend analysis for all variables from CHMS biomonitoring data cycles 1-5 conducted between 2007 and 2017. The associations between time and obesity were determined with linear regressions using the CHMS cycles and body mass index (BMI) as predictors. There were 997 unique biomarkers identified and 86 biomarkers with significant trends across cycles. Nine of the 10 leading biomarkers with the largest decreases were environmental chemicals. The levels of 1,2,3-trimethyl benzene, dodecane, palmitoleic acid, and o-xylene decreased by more than 60%. All of the 10 chemicals with the largest increases were environmental chemicals, and the levels of 1,2,4-trimethylbenzene, nonanal, and 4-methyl-2-pentanone increased by more than 200%. None of the 20 biomarkers with the largest increases or decreases between cycles were associated with BMI. The CHMS provides the opportunity for researchers to determine associations between biomarkers and time or BMI. However, the unknown causes of trends with large magnitudes of increase or decrease and their unclear impact on Canadians' health present challenges. We recommend that the CHMS plan future cycles on leading trends and measure chemicals with both human and environmental samples.
生物监测可以通过评估人体及其周围环境中的化学物质水平来进行,例如加拿大健康措施调查(CHMS)所做的那样。本研究旨在报告主要的生物标志物上升或下降趋势,并确定其意义。我们对2007年至2017年期间进行的CHMS生物监测数据周期1 - 5中的所有变量进行了趋势分析。使用CHMS周期和体重指数(BMI)作为预测指标,通过线性回归确定时间与肥胖之间的关联。共识别出997种独特的生物标志物,其中86种在各周期中呈现出显著趋势。下降幅度最大的10种主要生物标志物中有9种是环境化学物质。1,2,3 - 三甲基苯、十二烷、棕榈油酸和邻二甲苯的水平下降了60%以上。上升幅度最大的10种化学物质均为环境化学物质,1,2,4 - 三甲基苯、壬醛和4 - 甲基 - 2 - 戊酮的水平上升了200%以上。各周期中上升或下降幅度最大的20种生物标志物均与BMI无关。CHMS为研究人员提供了确定生物标志物与时间或BMI之间关联的机会。然而,大幅上升或下降趋势的未知原因及其对加拿大人健康的不明影响带来了挑战。我们建议CHMS根据主要趋势规划未来周期,并对人体和环境样本中的化学物质进行测量。