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Advanced Exposure Metrics For Chemical Risk Analysis: Systems Biology and 'Omic-based Biomarkers for Exposure Reconstruction
Citation:
COLLETTE, T. W., Q. TENG, D. R. EKMAN, J. M. LAZORCHAK, D. L. LATTIER, M. GOLDSMITH, M. KOSTICH, AND J. D. PLEIL. Advanced Exposure Metrics For Chemical Risk Analysis: Systems Biology and 'Omic-based Biomarkers for Exposure Reconstruction. Presented at BOSC Computational Toxicology Research Program Review, Research Triangle Park, NC, September 29 - 30, 2009.
Impact/Purpose:
Poster for the BOSC Computational Toxicology Program review.
Description:
Direct measurement of human exposure to environmental contaminants in real time (when the exposure is actually occurring) is rare and difficult to obtain. This frustrates both exposure assessments and investigations into the linkage between chemical exposure and human disease. However, it is feasible to obtain information on the levels of environmental contaminants (and their metabolites and adducts) in the biofluids of individuals that may have been exposed. Furthermore, it is feasible to obtain information on the occurrence of specific diseases and other adverse conditions in various human demographics. The Agency’s exposure and risk assessments could be greatly improved if these chemical biomarkers could be used to both reconstruct previous exposure scenarios, and to predict the future likelihood of adverse effects. While progress has, indeed, been made along these paths, biomarker methods based solely on xenobiotics and their metabolites/adducts are inherently limited. This new research program (still in the planning stages) is based on the belief that systems biology approaches and ‘omic-based biomarkers, when used in conjunction with tradition biomarkers, offer great promise for both exposure reconstruction and for elucidating the linkages between exposures and adverse outcomes.
URLs/Downloads:
COLLETTE 09 100 BOSC ABSTRACT .PDF (PDF, NA pp, 11 KB, about PDF)COLLETTE 09 100A POSTER_BOSC09 FINAL.PDF (PDF, NA pp, 196 KB, about PDF)