Research Abstracts Online
2008 - March 2009
University of Minnesota Twin Cities
Department of Surgery
PI: Gregory J. Beilman
Identification of Biomarkers Using Metabolomics in Porcine Hemorrhagic Shock
Hemorrhagic shock, a result of acute blood loss, accounts for about half of the 150,000 deaths in the U.S. attributed to traumatic injury annually and is often a priming event for the development of multiple organ failure. The ability to identify patients at risk for developing complications is imperfect and is due in part to a lack of robust and reliable specific markers of injury (e.g. biomarkers). Metabolomics is the study of the metabolome, that is, the entire repertoire of small molecules present in cells and/or tissues. Numerous reports have shown that studies of the metabolome can elucidate the cellular mechanisms that are operational at any given time point and has the potential to identify specific biomarkers.
The goal of this project is to identify the changes occurring in the metabolome during the course of traumatic shock and resuscitation with the objective to identify biomarkers in clinically relevant biofluids (urine, plasma) that are most associated with risk of multiple organ failure and death. The researchers are using a modification of their well-established porcine model of hemorrhagic shock/resuscitation and recovery period to study the muscle, liver, urine, and plasma metabolome during the course of this traumatic injury and to correlate changes seen in liver and muscle tissue with those of clinically relevant biofluids such as plasma and urine.
This research will allow a significant overview of metabolomic changes during the course of hemorrhagic shock and recovery in an animal model that is clinically relevant. The statistical methods allow correlation of these metabolomic changes to the physiologic changes present in animals during this protocol. This information will be useful in the human condition for a variety of reasons, potentially yielding new therapeutic strategies and allowing early identification of patients at risk for multiple organ failure.
Dan Lexcen, Graduate Student
Beth Lusczek, Graduate Student
Kristine Mulier, Research Associate
Nancy Witowski, Research Associate