Stephen Guzikowski

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Stephen Guzikowski

Graduate Assistant

B.S., Rutgers Univesity, 2001

Tel: 732-445-7061
Email: guzikows@eden.rutgers.edu

Research Interests

Our research focuses on hepatic drug metabolism. We are exploring the mechanisms and regulation of drug metabolism and induced hepatotoxicity by employing metabolic and genomic methods. Metabolic engineering is used to further our mechanistic understanding of the detoxification of drugs, such as acetaminophen, in the liver. The objective of this project is to quantify the pathway alterations in response to drug treatment and additional environmental mediators. Comprehension of flux distributions and reaction pathway activity in liver cells during detoxification at various physiological states is of great importance as this may provide researchers targets for early predictors of liver damage.

We are also constructing a gene regulatory network to assess transcriptional control and identify metabolic and regulatory markers important for xenobiotic detoxification and hepatotoxicity. This integrated approach may serve to classify the participation of functional markers, identify drug-overdose treatment pathways, clarify drug-drug interactions, and discover how other properties of the biology reveal underlying complexities that cannot be explained by the consideration of individual pathways or the model system in isolation.

Publications

Presentations

S.A. Guzikowski, M.G. Ierapetritou, C.M. Roth, Methods for Metabolic Analysis of Xenobiotic Interactions, Environmental Bioinformatics and Computational Toxicology, April 2007

S.A. Guzikowski, M.G. Ierapetritou, C.M. Roth, Metabolic and Genomic Analysis of Acetaminophen Metabolism and Induced-hepatotoxicity, AIChE, Nov 2006

S.A. Guzikowski, M.G. Ierapetritou, C.M. Roth, Metabolic Analysis of Acetaminophen Metabolism and Induced-hepatotoxicity, ACS, Sept 2006

S.A. Guzikowski, M.G. Ierapetritou, C.M. Roth, Modeling Regulatory and Metabolic Mechanisms for Acetaminophen-Induced Hepatotoxicity, Northeast Bioengineering, April 2006

Teaching Assistant

Processing Engineering I & II. Emphasis on professional-quality data and individual contributions, particularly process evaluation, scale-up, and design criteria.

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