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Elaine A. Cohen Hubal  - - - 
Top co-authors See all
Richard S. Judson

89 shared publications

US Environmental Protection Agency

Olivier Jolliet

88 shared publications

Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA

David M. Reif

81 shared publications

Bioinformatics Research Center, Center for Human Health and the Environment, Dept. of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA

John Wambaugh

51 shared publications

US Environmental Protection Agency

Matthew T. Martin

24 shared publications

National Center for Computational Toxicology and ‡National Health and Environmental Effects Research Laboratory, Office of Research and Development, U. S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States

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Publication Record
Distribution of Articles published per year 
(2000 - 2013)
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11
 
Publications See all
Article 0 Reads 12 Citations Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential Jade Mitchell, Jon A. Arnot, Olivier Jolliet, Panos G. Georg... Published: 01 August 2013
Science of The Total Environment, doi: 10.1016/j.scitotenv.2013.04.051
DOI See at publisher website PubMed View at PubMed
Article 2 Reads 5 Citations Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 ... Jane E. Gallagher, Elaine Cohen Hubal, Laura Jackson, Jeffer... Published: 22 February 2013
Sustainability, doi: 10.3390/su5020789
DOI See at publisher website ABS Show/hide abstract
Waste and materials management, land use planning, transportation and infrastructure including water and energy can have indirect or direct beneficial impacts on the environment and public health. The potential for impact, however, is rarely viewed in an integrated fashion. To facilitate such an integrated view in support of community-based policy decision making, we catalogued and evaluated associations between common, publically available, Environmental (e), Health (h), and Sustainability (s) metrics and sociodemographic measurements (n = 10) for 50 populous U.S. cities. E, H, S indices combined from two sources were derived from component (e) (h) (s) metrics for each city. A composite EHS Index was derived to reflect the integration across the E, H, and S indices. Rank order of high performing cities was highly dependent on the E, H and S indices considered. When viewed together with sociodemographic measurements, our analyses further the understanding of the interplay between these broad categories and reveal significant sociodemographic disparities (e.g., race, education, income) associated with low performing cities. Our analyses demonstrate how publically available environmental, health, sustainability and socioeconomic data sets can be used to better understand interconnections between these diverse domains for more holistic community assessments.
Article 3 Reads 4 Citations Incorporating exposure information into the toxicological prioritization index decision support framework Sumit Gangwal, David M. Reif, Shad Mosher, Peter P. Egeghy, ... Published: 01 October 2012
Science of The Total Environment, doi: 10.1016/j.scitotenv.2012.06.086
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 34 Citations Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Co... Richard S. Judson, Matthew T. Martin, Peter Egeghy, Sumit Ga... Published: 09 February 2012
International Journal of Molecular Sciences, doi: 10.3390/ijms13021805
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Computational toxicology combines data from high-throughput test methods, chemical structure analyses and other biological domains (e.g., genes, proteins, cells, tissues) with the goals of predicting and understanding the underlying mechanistic causes of chemical toxicity and for predicting toxicity of new chemicals and products. A key feature of such approaches is their reliance on knowledge extracted from large collections of data and data sets in computable formats. The U.S. Environmental Protection Agency (EPA) has developed a large data resource called ACToR (Aggregated Computational Toxicology Resource) to support these data-intensive efforts. ACToR comprises four main repositories: core ACToR (chemical identifiers and structures, and summary data on hazard, exposure, use, and other domains), ToxRefDB (Toxicity Reference Database, a compilation of detailed in vivo toxicity data from guideline studies), ExpoCastDB (detailed human exposure data from observational studies of selected chemicals), and ToxCastDB (data from high-throughput screening programs, including links to underlying biological information related to genes and pathways). The EPA DSSTox (Distributed Structure-Searchable Toxicity) program provides expert-reviewed chemical structures and associated information for these and other high-interest public inventories. Overall, the ACToR system contains information on about 400,000 chemicals from 1100 different sources. The entire system is built using open source tools and is freely available to download. This review describes the organization of the data repository and provides selected examples of use cases.
Article 0 Reads 15 Citations Review of Pesticide Urinary Biomarker Measurements from Selected US EPA Children’s Observational Exposure Studies Peter P. Egeghy, Elaine A. Cohen Hubal, Nicolle S. Tulve, Li... Published: 24 May 2011
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph8051727
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Children are exposed to a wide variety of pesticides originating from both outdoor and indoor sources. Several studies were conducted or funded by the EPA over the past decade to investigate children’s exposure to organophosphate and pyrethroid pesticides and the factors that impact their exposures. Urinary metabolite concentration measurements from these studies are consolidated here to identify trends, spatial and temporal patterns, and areas where further research is required. Namely, concentrations of the metabolites of chlorpyrifos (3,5,6-trichloro-2-pyridinol or TCPy), diazinon (2-isopropyl-6-methyl-4-pyrimidinol or IMP), and permethrin (3-phenoxybenzoic acid or 3-PBA) are presented. Information on the kinetic parameters describing absorption and elimination in humans is also presented to aid in interpretation. Metabolite concentrations varied more dramatically across studies for 3-PBA and IMP than for TCPy, with TCPy concentrations about an order of magnitude higher than the 3-PBA concentrations. Temporal variability was high for all metabolites with urinary 3-PBA concentrations slightly more consistent over time than the TCPy concentrations. Urinary biomarker levels provided only limited evidence of applications. The observed relationships between urinary metabolite levels and estimates of pesticide intake may be affected by differences in the contribution of each exposure route to total intake, which may vary with exposure intensity and across individuals.
Article 3 Reads 5 Citations Mechanistic indicators of childhood asthma (MICA) study: piloting an integrative design for evaluating environmental hea... Jane Gallagher, Edward Hudgens, Ann Williams, Jefferson Inmo... Published: 19 May 2011
BMC Public Health, doi: 10.1186/1471-2458-11-344
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Asthma is a common complex disease responsible for considerable morbidity and mortality, particularly in urban minority populations. The Mechanistic Indicators of Childhood Asthma study was designed to pilot an integrative approach in children's health research. The study incorporates exposure metrics, internal dose measures, and clinical indicators to decipher the biological complexity inherent in diseases such as asthma and cardiovascular disease with etiology related to gene-environment interactions. 205 non-asthmatic and asthmatic children, (9-12 years of age) from Detroit, Michigan were recruited. The study includes environmental measures (indoor and outdoor air, vacuum dust), biomarkers of exposure (cotinine, metals, total and allergen specific Immunoglobulin E, polycyclic aromatic hydrocarbons, volatile organic carbon metabolites) and clinical indicators of health outcome (immunological, cardiovascular and respiratory). In addition, blood gene expression and candidate SNP analyses were conducted. Based on an integrative design, the MICA study provides an opportunity to evaluate complex relationships between environmental factors, physiological biomarkers, genetic susceptibility and health outcomes. PROJECT APPROVAL: IRB Number 05-EPA-2637: The human subjects' research protocol was reviewed by the Institutional Review Board (IRB) of the University of North Carolina; the IRB of Westat, Inc., the IRB of the Henry Ford Health System; and EPA's Human Subjects' Research Review Official.
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