Serum metabolic profiling analysis of gout patients based on UPLC-Q-TOF/MS

Background Gout is a common kind of inflammatory arthritis with metabolic disorders. However, the detailed pathogenesis of gout is complex and not fully clear. We investigated the serum metabolic profiling of gout patients by ultra-performance liquid chromatograph quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS). Methods Serum metabolites were extracted from 31 gout patients and 31 healthy controls. Metabolite extracts were analyzed in negative mode by UPLC-Q-TOF/MS for global metabolomics. Principal components analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA) and hierarchical clustering analysis were performed to detect different compounds between the two groups. Receiver operating characteristic (ROC) curve analysis and pathway analysis of the different metabolites were conducted. Results A total of 9192 compounds were detected, of which 138 significantly different compounds were selected, according to the criteria of (Variable importance in projection (VIP) > 3). Hierarchical clustering analysis showed that the relative levels of the differential compounds were different between the 2 groups. Ninety-one reliable metabolites matching the human metabolome database (HMDB) were confirmed. ROC curve results revealed that 4-hydroxytriazolam, urate and bilirubin exerted higher AUC values. Pathway analysis indicated that the significantly different metabolites were mainly involved in primary bile acid biosynthesis, purine metabolism and glycerophospholipid metabolism. Conclusions The serum metabolic profiling of gout patients was significantly different from healthy subjects based on UPLC-Q-TOF/MS. Bilirubin was the potential biomarker. Primary bile acid biosynthesis may be a novel metabolic pathway of gout.