Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats
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 increas...
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| Format: | Article |
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MDPI AG
2012-07-01
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| Series: | Metabolites |
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| Online Access: | http://www.mdpi.com/2218-1989/2/3/458 |
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| author | Maria-Louisa Izamis Korkut Uygun Nripen S. Sharma Basak Uygun Martin L. Yarmush Francois Berthiaume |
| author_facet | Maria-Louisa Izamis Korkut Uygun Nripen S. Sharma Basak Uygun Martin L. Yarmush Francois Berthiaume |
| author_sort | Maria-Louisa Izamis |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T13:07:40Z |
| format | Article |
| id | doaj.art-3a2230c80ae647e58c11c6f0cec6aef9 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-12-10T13:07:40Z |
| publishDate | 2012-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-3a2230c80ae647e58c11c6f0cec6aef92022-12-22T01:47:47ZengMDPI AGMetabolites2218-19892012-07-012345847810.3390/metabo2030458Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in RatsMaria-Louisa IzamisKorkut UygunNripen S. SharmaBasak UygunMartin L. YarmushFrancois BerthiaumeHypermetabolism 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.http://www.mdpi.com/2218-1989/2/3/458hypermetabolismmetabonomicsflux analysiscluster analysisregressionvariable selectionburn injury |
| spellingShingle | Maria-Louisa Izamis Korkut Uygun Nripen S. Sharma Basak Uygun Martin L. Yarmush Francois Berthiaume 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 hypermetabolism metabonomics flux analysis cluster analysis regression variable selection burn injury |
| title | Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats |
| title_full | Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats |
| title_fullStr | Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats |
| title_full_unstemmed | Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats |
| title_short | Development of Metabolic Indicators of Burn Injury: Very Low Density Lipoprotein (VLDL) and Acetoacetate Are Highly Correlated to Severity of Burn Injury in Rats |
| title_sort | development of metabolic indicators of burn injury very low density lipoprotein vldl and acetoacetate are highly correlated to severity of burn injury in rats |
| topic | hypermetabolism metabonomics flux analysis cluster analysis regression variable selection burn injury |
| url | http://www.mdpi.com/2218-1989/2/3/458 |
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