Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats

Metabolites

Maria-Louisa Izamis¹  Korkut Uygun¹  Nripen S. Sharma¹  Basak Uygun¹  Martin L. Yarmush¹ 

[1] Center for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, Boston, MA 02114, USA

关键词: hypermetabolism;    metabonomics;    flux analysis;    cluster analysis;    regression;    variable selection;    burn injury;   

DOI  :  10.3390/metabo2030458

来源: mdpi

【 摘 要 】

Hypermetabolism is a significant sequela to severe trauma such as burns, as well as critical illnesses such as cancer. It persists in parallel to, or beyond, the original pathology for many months as an often-fatal comorbidity. Currently, diagnosis is based solely on clinical observations of increased energy expenditure, severe muscle wasting and progressive organ dysfunction. In order to identify the minimum number of necessary variables, and to develop a rat model of burn injury-induced hypermetabolism, we utilized data mining approaches to identify the metabolic variables that strongly correlate to the severity of injury. A clustering-based algorithm was introduced into a regression model of the extent of burn injury. As a result, a neural network model which employs VLDL and acetoacetate levels was demonstrated to predict the extent of burn injury with 88% accuracy in the rat model. The physiological importance of the identified variables in the context of hypermetabolism, and necessary steps in extension of this preliminary model to a clinically utilizable index of severity of burn injury are outlined.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.