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Elaine A. Cohen Hubal  - - - 
Top co-authors See all
Gary W. Evans

341 shared publications

Department of Design & Environmental Analysis, Cornell University

J.L. Gardea-Torresdey

211 shared publications

Environmental Science and Engineering PhD Program, The University of Texas at El Paso, 500 West University Avenue, El Paso, Texas 79968, United States

Mark R. Wiesner

168 shared publications

Duke University, 121 Hudson Hall, Durham North Carolina 27708, United States

E Wong

166 shared publications

Department of Oncology

Thomas E. McKone

160 shared publications

School of Public Health, University of California, Berkeley, USA

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Publication Record
Distribution of Articles published per year 
(2000 - 2017)
Total number of journals
published in
 
14
 
Publications See all
Article 0 Reads 2 Citations A comprehensive framework for evaluating the environmental health and safety implications of engineered nanomaterials William K. Boyes, Brittany Lila M. Thornton, Souhail R. Al-A... Published: 29 June 2017
Critical Reviews in Toxicology, doi: 10.1080/10408444.2017.1328400
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Article 0 Reads 27 Citations Considerations of Environmentally Relevant Test Conditions for Improved Evaluation of Ecological Hazards of Engineered N... Patricia A. Holden, Jorge L. Gardea-Torresdey, Fred Klaessig... Published: 03 June 2016
Environmental Science & Technology, doi: 10.1021/acs.est.6b00608
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Article 0 Reads 5 Citations Data-Driven Asthma Endotypes Defined from Blood Biomarker and Gene Expression Data Barbara Jane George, Jane E. Gallagher, ClarLynda R. William... Published: 02 February 2015
PLOS ONE, doi: 10.1371/journal.pone.0117445
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The diagnosis and treatment of childhood asthma is complicated by its mechanistically distinct subtypes (endotypes) driven by genetic susceptibility and modulating environmental factors. Clinical biomarkers and blood gene expression were collected from a stratified, cross-sectional study of asthmatic and non-asthmatic children from Detroit, MI. This study describes four distinct asthma endotypes identified via a purely data-driven method. Our method was specifically designed to integrate blood gene expression and clinical biomarkers in a way that provides new mechanistic insights regarding the different asthma endotypes. For example, we describe metabolic syndrome-induced systemic inflammation as an associated factor in three of the four asthma endotypes. Context provided by the clinical biomarker data was essential in interpreting gene expression patterns and identifying putative endotypes, which emphasizes the importance of integrated approaches when studying complex disease etiologies. These synthesized patterns of gene expression and clinical markers from our research may lead to development of novel serum-based biomarker panels.
Article 0 Reads 11 Citations Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential Jade Mitchell, Jon A. Arnot, Sastry Isukapalli, Muhilan Pand... Published: 01 August 2013
Science of The Total Environment, doi: 10.1016/j.scitotenv.2013.04.051
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Article 2 Reads 3 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
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Article 0 Reads 21 Citations Providing the missing link: the exposure science ontology ExO. Carolyn J. Mattingly, Thomas E. McKone, Michael A. Callahan,... Published: 12 March 2012
Environmental Science & Technology, doi: 10.1021/es2033857
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Environmental health information resources lack exposure data required to translate molecular insights, elucidate environmental contributions to diseases, and assess human health and ecological risks. We report development of an Exposure Ontology, ExO, designed to address this information gap by facilitating centralization and integration of exposure data. Major concepts were defined and the ontology drafted and evaluated by a working group of exposure scientists and other ontology and database experts. The resulting major concepts forming the basis for the ontology are "exposure stressor", "exposure receptor", "exposure event", and "exposure outcome". Although design of the first version of ExO focused on human exposure to chemicals, we anticipate expansion by the scientific community to address exposures of human and ecological receptors to the full suite of environmental stressors. Like other widely used ontologies, ExO is intended to link exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.
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