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Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach

BACKGROUND: To identify metabolic biomarkers that can be used to differentiate sepsis from systemic inflammatory response syndrome (SIRS), assess severity and predict outcomes. METHODS: 65 patients were involved in this study, including 35 patients with sepsis, 15 patients with SIRS and 15 normal pa...

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Autores principales: Su, Longxiang, Huang, Yingyu, Zhu, Ying, Xia, Lei, Wang, Rentao, Xiao, Kun, Wang, Huijuan, Yan, Peng, Wen, Bo, Cao, Lichao, Meng, Nan, Luan, Hemi, Liu, Changting, Li, Xin, Xie, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4265126/
https://www.ncbi.nlm.nih.gov/pubmed/25553245
http://dx.doi.org/10.1136/bmjresp-2014-000056
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author Su, Longxiang
Huang, Yingyu
Zhu, Ying
Xia, Lei
Wang, Rentao
Xiao, Kun
Wang, Huijuan
Yan, Peng
Wen, Bo
Cao, Lichao
Meng, Nan
Luan, Hemi
Liu, Changting
Li, Xin
Xie, Lixin
author_facet Su, Longxiang
Huang, Yingyu
Zhu, Ying
Xia, Lei
Wang, Rentao
Xiao, Kun
Wang, Huijuan
Yan, Peng
Wen, Bo
Cao, Lichao
Meng, Nan
Luan, Hemi
Liu, Changting
Li, Xin
Xie, Lixin
author_sort Su, Longxiang
collection PubMed
description BACKGROUND: To identify metabolic biomarkers that can be used to differentiate sepsis from systemic inflammatory response syndrome (SIRS), assess severity and predict outcomes. METHODS: 65 patients were involved in this study, including 35 patients with sepsis, 15 patients with SIRS and 15 normal patients. Small metabolites that were present in patient serum samples were measured by liquid chromatography mass spectrometry techniques and analysed using multivariate statistical methods. RESULTS: The metabolic profiling of normal patients and patients with SIRS or sepsis was markedly different. A significant decrease in the levels of lactitol dehydrate and S-phenyl-d-cysteine and an increase in the levels of S-(3-methylbutanoyl)-dihydrolipoamide-E and N-nonanoyl glycine were observed in patients with sepsis in comparison to patients with SIRS (p<0.05). Patients with severe sepsis and septic shock displayed lower levels of glyceryl-phosphoryl-ethanolamine, Ne, Ne dimethyllysine, phenylacetamide and d-cysteine (p<0.05) in their sera. The profiles of patients with sepsis 48 h before death illustrated an obvious state of metabolic disorder, such that S-(3-methylbutanoyl)-dihydrolipoamide-E, phosphatidylglycerol (22:2 (13Z, 16Z)/0:0), glycerophosphocholine and S-succinyl glutathione were significantly decreased (p<0.05). The receiver operating characteristic curve of the differential expression of these metabolites was also performed. CONCLUSIONS: The body produces significant evidence of metabolic disorder during SIRS or sepsis. Seven metabolites may potentially be used to diagnose sepsis. TRIAL REGISTRATION NUMBER: ClinicalTrial.gov identifier NCT01649440.
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spelling pubmed-42651262014-12-31 Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach Su, Longxiang Huang, Yingyu Zhu, Ying Xia, Lei Wang, Rentao Xiao, Kun Wang, Huijuan Yan, Peng Wen, Bo Cao, Lichao Meng, Nan Luan, Hemi Liu, Changting Li, Xin Xie, Lixin BMJ Open Respir Res Critical Care BACKGROUND: To identify metabolic biomarkers that can be used to differentiate sepsis from systemic inflammatory response syndrome (SIRS), assess severity and predict outcomes. METHODS: 65 patients were involved in this study, including 35 patients with sepsis, 15 patients with SIRS and 15 normal patients. Small metabolites that were present in patient serum samples were measured by liquid chromatography mass spectrometry techniques and analysed using multivariate statistical methods. RESULTS: The metabolic profiling of normal patients and patients with SIRS or sepsis was markedly different. A significant decrease in the levels of lactitol dehydrate and S-phenyl-d-cysteine and an increase in the levels of S-(3-methylbutanoyl)-dihydrolipoamide-E and N-nonanoyl glycine were observed in patients with sepsis in comparison to patients with SIRS (p<0.05). Patients with severe sepsis and septic shock displayed lower levels of glyceryl-phosphoryl-ethanolamine, Ne, Ne dimethyllysine, phenylacetamide and d-cysteine (p<0.05) in their sera. The profiles of patients with sepsis 48 h before death illustrated an obvious state of metabolic disorder, such that S-(3-methylbutanoyl)-dihydrolipoamide-E, phosphatidylglycerol (22:2 (13Z, 16Z)/0:0), glycerophosphocholine and S-succinyl glutathione were significantly decreased (p<0.05). The receiver operating characteristic curve of the differential expression of these metabolites was also performed. CONCLUSIONS: The body produces significant evidence of metabolic disorder during SIRS or sepsis. Seven metabolites may potentially be used to diagnose sepsis. TRIAL REGISTRATION NUMBER: ClinicalTrial.gov identifier NCT01649440. BMJ Publishing Group 2014-12-10 /pmc/articles/PMC4265126/ /pubmed/25553245 http://dx.doi.org/10.1136/bmjresp-2014-000056 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Critical Care
Su, Longxiang
Huang, Yingyu
Zhu, Ying
Xia, Lei
Wang, Rentao
Xiao, Kun
Wang, Huijuan
Yan, Peng
Wen, Bo
Cao, Lichao
Meng, Nan
Luan, Hemi
Liu, Changting
Li, Xin
Xie, Lixin
Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach
title Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach
title_full Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach
title_fullStr Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach
title_full_unstemmed Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach
title_short Discrimination of sepsis stage metabolic profiles with an LC/MS-MS-based metabolomics approach
title_sort discrimination of sepsis stage metabolic profiles with an lc/ms-ms-based metabolomics approach
topic Critical Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4265126/
https://www.ncbi.nlm.nih.gov/pubmed/25553245
http://dx.doi.org/10.1136/bmjresp-2014-000056
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