The MSU Superfund Research Center (SRC) has had continuous funding from the National Institute of Environmental Health Sciences Superfund Research Program since 1988. The overall goal of this program is to conduct human health-oriented research on risks from exposure to chemicals commonly found in Superfund sites and on remediation technologies to eliminate the potential for exposure to chemicals from those sites.
The pollutants under investigation belong to the halogenated aromatic hydrocarbon family that bind and activate the aryl hydrocarbon receptor (AhR). These chemicals, which include polychlorinated dibenzo-p-dioxins, dibenzofurans, biphenyls and polyaromatic hydrocarbons, are environmentally persistent, lipid soluble contaminants that bioaccumulate in the food chain leading to human and wildlife exposure.
A highly integrated, multidisciplinary research program is proposed consisting of five research projects and five supporting cores. The research team includes 25 investigators from Michigan State University (20), Emory University (1), Purdue University (1), Rutgers University (2) and the Michigan Department of Health and Human Services (1).
The central overarching theme of the MSU SRC is to define specific aspects of environmental, microbial and mammalian biomolecular responses to environmental contaminants that act as agonists for the AhR. The major research thrusts will provide new mechanistic information in three areas:
The Computational Modeling Core (CMC) will develop dynamic computational models of biological responses induced by AhR ligands. An Administrative Core will support research, training, community engagement, data management, and information and technology transfer in this Superfund Research Center (SRC). Within the Administrative Core, research translation will disseminate research findings to target audiences in government, industry and academia. A Community Engagement Core (CEC) will communicate with community stakeholders through engagement with county and city health officials in three new Michigan communities that continue to experience dioxin exposure. A Data Management and Analysis Core will provide the technology, expertise, infrastructure and training necessary to curate datasets, metadata, processing and analyses needed to properly manage and share high quality reproducible data. Lastly, a Research Experience and Training Coordination Core (RETCC) will ensure cross-disciplinary training to pre- and postdoctoral trainees.
Follow the links to the right to learn more about each of the MSU Superfund Projects and Support Cores.