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Updated: Oct 11, 2025
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Metabolic disturbances in systemic lupus erythematosus evaluated with UPLC-MS/MS
Kuo-Tung Tang1, Han-Ju Chien2, Ya-Han Chang2
1Division of Allergy, Immunology and Rheumatology, Taichung Veterans General Hospital, Taichung; Faculty of Medicine, National Yang-Ming Chiao Tung University, Taipei; and Ph.D. Program in Translational Medicine and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan.
Objectives:
Systemic lupus erythematosus (SLE) is an autoimmune disease. However, no surrogate biomarker is available for SLE diagnosis or predicting disease outcomes. Here, an ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS)-based metabolomics strategy was executed to conduct biomarker discovery in SLE.
Methods:
Metabolite profiles were analysed using UPLC-MS/MS analysis of serum samples obtained from the discovery cohort. Differentially expressed metabolites were identified using multivariate analyses. During the validation stage, the significant metabolites identified in the discovery cohort were quantified in a validation cohort using multiple reaction monitoring mass spectrometry (MRM-MS). Differences in serum metabolite levels and SLE disease activity markers were examined by using Spearman's correlation analysis.
Results:
A total of 29 significant metabolites were identified by the UPLC-MS/MS analysis. These metabolites were primarily involved in fatty acid metabolism (20.69%) and phospholipid catabolism (17.24%). In the validation cohort, 11 of 29 metabolites were quantified, which demonstrated increased levels of pyroglutamic acid and L-phenylalanine in SLE patients compared with healthy controls. Patients with lupus nephritis (LN) presented with higher taurine levels, which could serve as a biomarker. The literature review indicated decreased levels of amino acids and adenosine among SLE patients and increased lipids, low-density lipoprotein, and very low-density lipoprotein among LN patients compared to healthy controls.
Conclusions:
Fatty acid metabolism and phospholipid catabolism were affected in SLE patients. Pyroglutamic acid and L-phenylalanine have the potential to act as SLE biomarkers, and taurine might be used to distinguish patients with and without LN.
