a Summit Toxicology, LLP , Falls Church , Virginia , USA.
J Toxicol Environ Health B Crit Rev. 2014;17(1):45-61. doi: 10.1080/10937404.2013.864250.
Human biomonitoring has become a primary tool for chemical exposure characterization in a wide variety of contexts: population monitoring and characterization at a national level, assessment and description of cohort exposures, and individual exposure assessments in the context of epidemiological research into potential adverse health effects of chemical exposures. The accurate use of biomonitoring as an exposure characterization tool requires understanding of factors, apart from external exposure level, that influence variation in biomarker concentrations. This review provides an overview of factors that might influence inter- and intraindividual variation in biomarker concentrations apart from external exposure magnitude. These factors include characteristics of the specific chemical of interest, characteristics of the likely route(s) and frequency of exposure, and physiological characteristics of the biomonitoring matrix (typically, blood or urine). Intraindividual variation in biomarker concentrations may be markedly affected by the relationship between the elimination half-life and the intervals between exposure events, as well as by variation in characteristics of the biomonitored media such as blood lipid content or urinary flow rate. Variation across individuals may occur due to differences in time of sampling relative to exposure events, physiological differences influencing urinary flow or creatinine excretion rates or blood characteristics, and interindividual differences in metabolic rate or other factors influencing the absorption or excretion rate of a compound. Awareness of these factors can assist researchers in improving the design and interpretation of biomonitoring studies.
在国家层面进行人群监测和特征描述、评估和描述队列暴露情况,以及在针对化学暴露潜在不良健康影响的流行病学研究中进行个体暴露评估。准确地将生物监测用作暴露特征描述工具需要了解除外部暴露水平以外影响生物标志物浓度变化的因素。本综述概述了除外部暴露程度以外可能影响生物标志物浓度个体内和个体间差异的因素。这些因素包括特定化学物质的特征、可能的暴露途径和频率的特征以及生物监测基质(通常为血液或尿液)的生理特征。生物标志物浓度的个体内变化可能会受到消除半衰期与暴露事件之间的间隔之间关系的显著影响,以及生物监测介质特征的变化(如血液脂质含量或尿液流速)的影响。个体之间的差异可能是由于相对于暴露事件的采样时间不同、影响尿液流量或肌酐排泄率或血液特征的生理差异以及影响化合物吸收或排泄率的个体间代谢率或其他因素的差异所致。了解这些因素可以帮助研究人员改进生物监测研究的设计和解释。