MSU Superfund Projects and Cores:

Project 1: Characterization of the Pathways Linking Ah Receptor Activation with Altered B Cell Differentiation Using an Integrated Experimental and Computational Modeling Approach

Project 2: Dissecting the Signaling Network for Ah Receptor-mediated Bcell Toxicity

Project 3: Non-Additive Ah Receptor Ligand Interactions

Project 4: Influence of Ah Receptor Ligands on Inflammatory Responses: Consequences for Tissue Injury and Gene Expression

Project 5: A Proteomic Analysis of the AHR signaling Network

Project 6: Molecular Insight into Polyaromatic Toxicant Degradation by Microbial Communities

Project 7: Geochemical Controls on the Adsorption, Bioavailability, and Long-term Environmental Fate of Dioxins, PCBs, and PAHs

Core A: Administration

Core B: Research Translation

Core C: Computational Modeling of Mammalian Biomolecular Response

Core D: Biomedical Informatics

Core E: Environmental Molecular Analysis

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Link to the NIEHS SBRP site

Superfund Project 3

Non-Additive Ah Receptor Ligand Interactions

Although human exposure to toxicants occurs as a complex mixture, risk assessments are typically based on single chemical studies conducted in rodent models. Limitations associated with current approaches are increasingly being questioned due to the potential for significant health, societal and economic consequences. In order to improve the quantitative risk assessment of chronic and subchronic exposure to synthetic and natural chemicals and their complex mixtures, uncertainties within the source-to-outcome continuum must be minimized in the context of the whole organisms, and its genome.

In this project, 2,3,7,8-tetrachlrodibenzo-p-dioxin (TCDD), 3,3’,4,4’,5-pentachlorobiphenyl (PCB126), and 2,2',4,4',5,5'-hexachlorobiphenyl (PCB153) as well as a reconstituted mixture that reflects environmental levels of these contaminants will be systematically examined to elucidate the mechanisms of action of additive, antagonistic and synergistic interactions that occur at molecular and physiological levels. Ray designs and modeling approaches will be used to minimize full factorial studies in order to investigate the hypothesis that a mixture of TCDD, PCB126 and PCB153 at environmentally relevant levels elicit non-additive hepatotoxic effects. Dose- and time-dependent hepatic gene expression and fatty liver effects will be assessed using a mouse cDNA array enriched with dioxin responsive genes and complementary histopathology approaches. 

Microarray data will be computationally integrated with histopathology and clinical chemistry to identify associations between changes in gene expression and physiological/toxic outcomes that facilitates the elucidation the mechanisms of action of dioxin-mediated fatty liver toxicity. The mixture will then be examined to detect and characterize the additive, synergistic and antagonistic interactions that affect the fatty liver response using response surface models for genes associated with fatty liver. 

The figure below provides an overview of proposed studies, data integration and interpretation.

This project will not only develop innovative and credible statistical strategies to rigorously assess interactions induced by mixtures containing chemicals that use a common mechanism of action, but will also further elucidate mechanisms of toxicity associated with TCDD-induced fatty.

Timothy R. Zacharewski, Ph.D.
Project Leader
Michigan State University

Christina Chan
Co-Investigator
Michigan State University

Jack R. Harkema
Co-Investigator
Michigan State University