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Dataset Information

Metabolomic and proteomic characterization of sng and pain phenotypes in fibromyalgia.


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