RECONSTRUCTING HUMAN EXPOSURES USING BIOMARKERS AND OTHER "CLUES"

被引:30
作者
Tan, Yu-Mei [1 ]
Sobus, Jon [1 ]
Chang, Daniel [1 ]
Tornero-Velez, Rogelio [1 ]
Goldsmith, Michael [1 ]
Pleil, Joachim [1 ]
Dary, Curtis [2 ]
机构
[1] US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA
[2] US EPA, Natl Exposure Res Lab, Las Vegas, NV 89193 USA
来源
JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART B-CRITICAL REVIEWS | 2012年 / 15卷 / 01期
关键词
HUMAN BIOMONITORING DATA; PHARMACOKINETIC MODEL; MONITORING-PROGRAM; ATRAZINE; PESTICIDES; AGE; METHYLMERCURY; PERCHLORATE; METABOLITES; RESIDUES;
D O I
10.1080/10937404.2012.632360
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Biomonitoring is the process by which biomarkers are measured in human tissues and specimens to evaluate exposures. Given the growing number of population-based biomonitoring surveys, there is now an escalated interest in using biomarker data to reconstruct exposures for supporting risk assessment and risk management. While detection of biomarkers is de facto evidence of exposure and absorption, biomarker data cannot be used to reconstruct exposure unless other information is available to establish the external exposure-biomarker concentration relationship. In this review, the process of using biomarker data and other information to reconstruct human exposures is examined. Information that is essential to the exposure reconstruction process includes (1) the type of biomarker based on its origin (e. g., endogenous vs. exogenous), (2) the purpose/design of the biomonitoring study (e. g., occupational monitoring), (3) exposure information (including product/chemical use scenarios and reasons for expected contact, the physicochemical properties of the chemical and nature of the residues, and likely exposure scenarios), and (4) an understanding of the biological system and mechanisms of clearance. This review also presents the use of exposure modeling, pharmacokinetic modeling, and molecular modeling to assist in integrating these various types of information.
引用
收藏
页码:22 / 38
页数:17
相关论文
共 56 条
[51]   Glossary of terms used in computational drug design [J].
VanDeWaterbeemd, H ;
Carter, RE ;
Grassy, G ;
Kubinyi, H ;
Martin, YC ;
Tute, MS ;
Willett, P ;
Haasnoot, CAG ;
Kier, LB ;
Muller, K ;
Rose, SV ;
Weber, J ;
Wibley, KS ;
Wold, S ;
Boyd, DB ;
Clark, DE ;
deHaen, C ;
Heindel, ND ;
Kratochvil, P ;
Kutscher, B ;
Lewis, RA ;
Mabilia, M ;
Metanomski, WV ;
Polymeropoulos, EE ;
Tollenaere, JP ;
Turnbull, MD ;
vanderLinden, WE ;
VanLenten, EJ .
PURE AND APPLIED CHEMISTRY, 1997, 69 (05) :1137-1152
[52]  
Wang R. G. M., 1989, BIOL MONITORING PEST
[53]   An observational study of the potential exposures of preschool children to pentachlorophenol, bisphenol-A, and nonylphenol at home and daycare [J].
Wilson, Nancy K. ;
Chuang, Jane C. ;
Morgan, Marsha K. ;
Lordo, Robert A. ;
Sheldon, Linda S. .
ENVIRONMENTAL RESEARCH, 2007, 103 (01) :9-20
[54]   Probabilistic Modeling of Dietary Arsenic Exposure and Dose and Evaluation with 2003-2004 NHANES Data [J].
Xue, Jianping ;
Zartarian, Valerie ;
Wang, Sheng-Wei ;
Liu, Shi V. ;
Georgopoulos, Panos .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2010, 118 (03) :345-350
[55]  
YOBS AR, 1971, PESTIC MONIT J, V5, P44
[56]   Promises and Pitfalls of Quantitative Structure-Activity Relationship Approaches for Predicting Metabolism and Toxicity [J].
Zvinavashe, Elton ;
Murk, Albertinka J. ;
Rietjens, Ivonne M. C. M. .
CHEMICAL RESEARCH IN TOXICOLOGY, 2008, 21 (12) :2229-2236