Untargeted Metabolomics Analysis using LC-MSQTOF for Metabolite Profile Comparison between Patients with Myofascial Pain of Upper Trapezius Muscle versus Controls

Objective: This study aims to identify different biomarkers of Myofascial pain syndrome (MPS) using untargeted metabolomics screening.Materials and Methods: In a case-control study, serum samples from MPS patients (n = 19) healthy controls 10) were analyzed reverse-phase liquid chromatography mass spectrometry quadrupole time-of-flight (MS-QTOF). The resulted raw data was processed with Progenesis QI analysis software. HMBD database used the metabolites based on their fold change (>1.2), variable importance plot (>1) P < 0.05. MetaboAnalyst 5.0 generate metabolic network for all identified metabolites.Results: group reported significantly higher visual analog scale when compared control while most other routine blood chemical profiles not different. Twenty-seven which could distinguish controls. Inosine chenodeoxycholic acid abundant in group, whereas others low. Metabolites divided into three categories: lipids, nucleotides, organic compounds. Possible included lysoSM (sphingomyelin), lysoPC (lysophosphatidylcholine), lysoPE (lysophosphatidylethanolamine), triglyceride, inosine.Conclusion: These metabolite profiles, including glycerophospholipids mechanism purine metabolism, indicate that inflammatory process might be related mechanisms MPS. A larger sample size, trigger point location, modifications therapy afterward should further explored.