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

ABSTRACT:

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 wer

SUBMITTER: Su L 

PROVIDER: S-EPMC4265126 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature