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Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients
INTRODUCTION: To establish a plasma metabolomics fingerprint spectrum for severe burn patients and to use it to identify a set of biomarkers that could be used for clinical monitoring. METHODS: Twenty-one severe burn patients and three healthy control individuals were enrolled in this study, and the...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220088/ https://www.ncbi.nlm.nih.gov/pubmed/25059459 http://dx.doi.org/10.1186/cc13999 |
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author | Zhang, Yong Cai, Bin Jiang, Hua Yan, Hong Yang, Hao Peng, Jin Wang, Wenyuan Ma, Siyuan Wu, Xiuwen Peng, Xi |
author_facet | Zhang, Yong Cai, Bin Jiang, Hua Yan, Hong Yang, Hao Peng, Jin Wang, Wenyuan Ma, Siyuan Wu, Xiuwen Peng, Xi |
author_sort | Zhang, Yong |
collection | PubMed |
description | INTRODUCTION: To establish a plasma metabolomics fingerprint spectrum for severe burn patients and to use it to identify a set of biomarkers that could be used for clinical monitoring. METHODS: Twenty-one severe burn patients and three healthy control individuals were enrolled in this study, and the plasma samples from patients and healthy individuals were collected for nuclear magnetic resonance (NMR) measurements. The NMR spectra were analyzed using principal component analysis (PCA) and partial least squares (PLS) in order to establish the metabolomics fingerprint representing the changes in metabolism and to select the major biomarkers. RESULTS: NMR spectra of the plasma samples showed significant differences between burn patients and healthy individuals. Using metabolomics techniques, we found an Eigen-metabolome that consists of 12 metabolites, which are regulated by 103 enzymes in a global metabolic network. Among these metabolites, α-ketoisovaleric acid, 3-methylhistidine, and β-hydroxybutyric acid were the most important biomarkers that were significantly increased during the early stage of burn injury. These results suggest that the mitochondrial damage and carbohydrate, protein and fatty acid metabolism disturbances occur after burn injury. Our analysis also show that histone deacetylases, which are protein transcription suppressors, were remarkably increased and indicate that protein transcription was inhibited and anabolism was restrained during the early stage of burn injury. CONCLUSIONS: Metabolomics techniques based on NMR can be used to monitor metabolism in severe burn patients. Our study demonstrates that integrated (1)H-NMR metabolome and global metabolic network analysis is useful for visualizing complex metabolic disturbances after severe burn injury and may provide a new quantitative injury severity evaluation for future clinical use. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR-OCC-12002145. Registered 25 April 2012. |
format | Online Article Text |
id | pubmed-4220088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42200882014-11-07 Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients Zhang, Yong Cai, Bin Jiang, Hua Yan, Hong Yang, Hao Peng, Jin Wang, Wenyuan Ma, Siyuan Wu, Xiuwen Peng, Xi Crit Care Research INTRODUCTION: To establish a plasma metabolomics fingerprint spectrum for severe burn patients and to use it to identify a set of biomarkers that could be used for clinical monitoring. METHODS: Twenty-one severe burn patients and three healthy control individuals were enrolled in this study, and the plasma samples from patients and healthy individuals were collected for nuclear magnetic resonance (NMR) measurements. The NMR spectra were analyzed using principal component analysis (PCA) and partial least squares (PLS) in order to establish the metabolomics fingerprint representing the changes in metabolism and to select the major biomarkers. RESULTS: NMR spectra of the plasma samples showed significant differences between burn patients and healthy individuals. Using metabolomics techniques, we found an Eigen-metabolome that consists of 12 metabolites, which are regulated by 103 enzymes in a global metabolic network. Among these metabolites, α-ketoisovaleric acid, 3-methylhistidine, and β-hydroxybutyric acid were the most important biomarkers that were significantly increased during the early stage of burn injury. These results suggest that the mitochondrial damage and carbohydrate, protein and fatty acid metabolism disturbances occur after burn injury. Our analysis also show that histone deacetylases, which are protein transcription suppressors, were remarkably increased and indicate that protein transcription was inhibited and anabolism was restrained during the early stage of burn injury. CONCLUSIONS: Metabolomics techniques based on NMR can be used to monitor metabolism in severe burn patients. Our study demonstrates that integrated (1)H-NMR metabolome and global metabolic network analysis is useful for visualizing complex metabolic disturbances after severe burn injury and may provide a new quantitative injury severity evaluation for future clinical use. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR-OCC-12002145. Registered 25 April 2012. BioMed Central 2014-07-24 2014 /pmc/articles/PMC4220088/ /pubmed/25059459 http://dx.doi.org/10.1186/cc13999 Text en © Zhang et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Zhang, Yong Cai, Bin Jiang, Hua Yan, Hong Yang, Hao Peng, Jin Wang, Wenyuan Ma, Siyuan Wu, Xiuwen Peng, Xi Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
title | Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
title_full | Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
title_fullStr | Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
title_full_unstemmed | Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
title_short | Use of (1)H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
title_sort | use of (1)h-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220088/ https://www.ncbi.nlm.nih.gov/pubmed/25059459 http://dx.doi.org/10.1186/cc13999 |
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