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INTEGRATION OF ANIMAL AND HUMAN GENE EXPRESSION DATA TO IMPROVE THE PREDICTIVE VALUE OF EXPOUSRE, EFFECTS AND SUSCEPTIBILITY BIOMARKERS IN ASTHMATIC CHILDREN
Citation:
HEIDENFELDER, B., E. E. HUDGENS, A. H. WILLIAMS, L. M. NEAS, J. E. GALLAGHER, D. REIF, E. HUBAL, S. W. EDWARDS, S. D. HESTER, AND J. HARKEMA. INTEGRATION OF ANIMAL AND HUMAN GENE EXPRESSION DATA TO IMPROVE THE PREDICTIVE VALUE OF EXPOUSRE, EFFECTS AND SUSCEPTIBILITY BIOMARKERS IN ASTHMATIC CHILDREN. Presented at Toxicogenomics Integrated with Environmental Sciences 2007 Intl Meeting, Raleigh, NC, October 25 - 26, 2007.
Impact/Purpose:
research results
Description:
Advances in biomarker development have improved our ability to detect early changes at the molecular, cellular and pre-clinical level that are often predictive of adverse health outcomes. Integration of human and animal studies addresses key concerns about animal-human extrapolation and provides critical support for quantitative risk assessment. The overall objective of the Mechanistic Indicators of Childhood Asthma study (MICA) is to increase our understanding of asthma by examining the complex interplay between environmental and genetic factors that work to impact asthma outcome. This project integrates rodent and human research across the source-to-outcome continuum through the linkage of gene expression data and biomarkers of exposure, early effect, and susceptibility. In the animal component of MICA, short-term controlled exposures of rodents to concentrated particulate matter were conducted and gene expression data was collected from rodent blood and respiratory tissue RNA. MICA builds on the Detroit Children’s Health Study (DCHS), aimed at assessing the impact of chronic and/or early-life contact with area and mobile source emissions on the initiation of allergic asthma in school-aged children. Through our partnership with Henry Ford Health System in Detroit Michigan, we have collected clinical measures and biological samples (urine, blood, and fingernails) from 200 (9-12 year old) children (healthy and asthmatic). The biological samples will provide an opportunity to evaluate fundamental interactions between genetic variability and gene expression within the context of more established biomarkers of exposure and effect. This abstract does not necessarily reflect EPA policy.