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Summary: An Integrative Systems Biology Approach for
Analyzing Liver Hypermetabolism
Eric Yanga
, Francois Berthiaumeb
, Martin L.Yarmusha,b
, Ioannis P.
Androulakisa
a
Biomedical Engineering Department, Rutgers University, Piscataway, NJ, USA
b
Center for Engineering in Medicine, Harvard Medical School, Boston, MA, USA
Abstract
Severe injury and other disease conditions (cancer, diabetes) lead to a hypermetabolic
state featuring increased turnover of proteins, fatty acids and carbohydrates. Prolonged
hypermetabolism is accompanied by progressive organ failure and serious
complications. Understanding the biochemical underpinnings of the hypermetabolic
response will lead to a better understanding of the changes at the systemic level and
ultimately provide clues for limiting its harmful consequences. We examine integrated
bioinformatics approaches combining novel modeling and computational techniques,
animal injury models, and gene expression measurements for analyzing hypermetabolic
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