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Metabolic networks in a porcine model of trauma and hemorrhagic shock demonstrate different control mechanism with carbohydrate pre-feed

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Lusczek, Elizabeth R., Vincente, Tyrone, Lexcen, Daniel, Kulkarni, Vishwesh V., Mulier, Kristine and Beilman, Greg (2015) Metabolic networks in a porcine model of trauma and hemorrhagic shock demonstrate different control mechanism with carbohydrate pre-feed. BMC Emergency Medicine, 15 (13). pp. 1-7. doi:10.1186/s12873-015-0038-1 ISSN 1471-227X.

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Official URL: https://doi.org/10.1186/s12873-015-0038-1

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Abstract

Background:
Treatment with oral carbohydrate prior to trauma and hemorrhage confers a survival benefit in small animal models. The impact of fed states on survival in traumatically injured humans is unknown. This work uses regulatory networks to examine the effect of carbohydrate pre-feeding on metabolic response to polytrauma and hemorrhagic shock in a clinically-relevant large animal model.

Methods:
Male Yorkshire pigs were fasted overnight (n = 64). Pre-fed animals (n = 32) received an oral bolus of Karo\textregistered\syrup before sedation. All animals underwent a standardized trauma, hemorrhage, and resuscitation protocol. Serum samples were obtained at set timepoints. Proton NMR was used to identify and quantify serum metabolites. Metabolic regulatory networks were constructed from metabolite concentrations and rates of change in those concentrations to identify controlled nodes and controlling nodes of the network.

Results:
Oral carbohydrate pre-treatment was not associated with survival benefit. Six metabolites were identified as controlled nodes in both groups: adenosine, cytidine, glycerol, hypoxanthine, lactate, and uridine. Distinct groups of controlling nodes were associated with controlled nodes; however, the composition of these groups depended on feeding status.

Conclusions:
A common metabolic output, typically associated with injury and hypoxia, results from trauma and hemorrhagic shock. However, this output is directed by different metabolic inputs depending upon the feeding status of the subject. Nodes of the network that are related to mortality can potentially be manipulated for therapeutic effect; however, these nodes differ depending upon feeding status.

Item Type: Journal Article
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 (Please use QA76 Electronic Computers. Computer Science)
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > R Medicine (General)
R Medicine > RB Pathology
R Medicine > RM Therapeutics. Pharmacology
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Research Centres > Centre for Complexity Science
Faculty of Science, Engineering and Medicine > Science > Computer Science
Faculty of Science, Engineering and Medicine > Engineering > Engineering
Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Faculty of Science, Engineering and Medicine > Science > Centre for Scientific Computing
Faculty of Science, Engineering and Medicine > Science > Statistics
Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences > Translational & Experimental Medicine
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH): Metabolism, Biological systems, Systems biology, Hemorrhage , Metabolism--Regulation
Journal or Publication Title: BMC Emergency Medicine
Publisher: BioMed Central Ltd.
ISSN: 1471-227X
Official Date: 1 July 2015
Dates:
DateEvent
1 July 2015Published
5 February 2015Accepted
24 September 2014Submitted
Volume: 15
Number: 13
Page Range: pp. 1-7
DOI: 10.1186/s12873-015-0038-1
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 31 March 2017
Date of first compliant Open Access: 31 March 2017
Funder: National Science Foundation (U.S.) (NSF), United States. Office of Naval Research, National Institutes of Health (U.S.) (NIH), University of Minnesota

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