Toxicogenomic profiling of chemically exposed humans in risk assessment

被引:40
|
作者
McHale, Cliona M. [1 ]
Zhang, Luoping
Hubbard, Alan E.
Smith, Martyn T.
机构
[1] Univ Calif Berkeley, Sch Publ Hlth, Div Environm Hlth Sci, Berkeley, CA 94720 USA
关键词
Toxicogenomics; Risk assessment; Biomarkers; Chemical exposure; Systems biology; GENE-EXPRESSION PROFILES; BLOOD MONONUCLEAR-CELLS; WATER ARSENIC EXPOSURE; BENZENE EXPOSURE; DNA METHYLATION; DRINKING-WATER; MICRORNA EXPRESSION; MICROARRAY ANALYSIS; CDNA MICROARRAY; BLADDER-CANCER;
D O I
10.1016/j.mrrev.2010.04.001
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Gene-environment interactions contribute to complex disease development. The environmental contribution, in particular low-level and prevalent environmental exposures, may constitute much of the risk and contribute substantially to disease. Systematic risk evaluation of the majority of human chemical exposures, has not been conducted and is a goal of regulatory agencies in the U.S. and worldwide. With the recent recognition that toxicological approaches more predictive of effects in humans are required for risk assessment, in vitro human cell line data as well as animal data are being used to identify toxicity mechanisms that can be translated into biomarkers relevant to human exposure studies. In this review, we discuss how data from toxicogenomic studies of exposed human populations can inform risk assessment, by generating biomarkers of exposure, early effect, and/or susceptibility, elucidating mechanisms of action underlying exposure-related disease, and detecting response at low doses. Good experimental design incorporating precise, individual exposure measurements, phenotypic anchors (pre-disease or traditional toxicological markers), and a range of relevant exposure levels, is necessary. Further, toxicogenomic studies need to be designed with sufficient power to detect true effects of the exposure. As more studies are performed and incorporated into databases such as the Comparative Toxicogenomics Database (CTD) and Chemical Effects in Biological Systems (CEBS), data can be mined for classification of newly tested chemicals (hazard identification), and, for investigating the dose-response, and inter-relationship among genes, environment and disease in a systems biology approach (risk characterization). (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:172 / 183
页数:12
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