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ABSTRACT: Background
Fibromyalgia (FM) is characterized by chronic widespread pain. Its pathophysiological mechanisms remain poorly understood, and effective diagnosis and treatments are lacking. This study aimed to identify significantly changed biosignatures in FM and propose a novel classification for FM based on pain and soreness (sng) symptoms.Methods
Urine and serum samples from 30 FM patients and 25 controls underwent metabolomic and proteomic profiling.Results
Compared with controls, FM patients showed significant differential expression of three metabolites in urine and five metabolites and eight proteins in serum. Of them, DETP, 4-guanidinobutanoic acid, SM(d18:1/18:0), PC(20:1(11Z)/18:0), S100A7, SERPINB3, galectin-7 and LYVE1 were first reported as potential bioma
SUBMITTER: Hsu WH
PROVIDER: S-EPMC9298249 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature