Metabonomics Analysis Of Sepsis And Non-Infected Sirs Patients Based On Mass Spectrometry

The aim of the current study was to explore the roles of metabolomics in early diagnosis of sepsis by comparing blood and urine metabolites between sepsis patients and non-infected systemic inflammatory response syndrome (SIRS) patients. Seventeen sepsis patients and 13 non-infected SIRS patients were enrolled in this study. Blood and urine samples were collected from all patients and used for the detection of metabolomics using tandem mass spectrometry (MS/MS). Data were analyzed using specific analysis software and interpretation database. There were no differences in age, sex, and APACHEII scores between the two groups (P>0.05). Data from patient serum and urinary metabolites were normalized, then used for establishment of a 3-Diamensional map of the PCA model using specific software. This map showed a discrepancy between SIRS and sepsis groups. A total of 93 substances were detected in serum. According to importance of variable projection (VIP) rankings, there were 11 substances with VIP>1. Of these, aspartate, free carnitine, ornithine, and glutamic acid were increased, while valine, serine, and leucine were decreased (P<0.05). A total of 175 substances were determined in the urine samples, of which 16 substances were with VIP>1.4, according to the VIP ranking. Metabolomics, based on mass spectrometry, showed significant differences in blood and urine metabolites between non-infected SIRS patients and sepsis patients.