Proteomics in Patients with Fibromyalgia Syndrome: A Systematic Review of Observational Studies.
Arriana GkouviSotirios G TsiogkasDimitrios Petros BogdanosHelen G GikaDimitrios G GoulisMaria G GrammatikopoulouPublished in: Current pain and headache reports (2024)
An extensive literature search was conducted in MEDLINE/PubMed, CENTRAL, and clinicaltrials.gov from inception until November 2022. The study protocol was published in OSF. Two independent reviewers evaluated the studies and extracted data. The quality of studies was assessed using the modified Newcastle-Ottawa scale adjusted for proteomic research. Ten studies fulfilled the protocol criteria, identifying 3328 proteins, 145 of which were differentially expressed among patients with FMS against controls. The proteins were identified in plasma, serum, cerebrospinal fluid, and saliva samples. The control groups included healthy individuals and patients with pain (inflammatory and non-inflammatory). The most important proteins identified involved transferrin, α-, β-, and γ-fibrinogen chains, profilin-1, transaldolase, PGAM1, apolipoprotein-C3, complement C4A and C1QC, immunoglobin parts, and acute phase reactants. Weak correlations were observed between proteins and pain sensation, or quality of life scales, apart from the association of transferrin and a2-macroglobulin with moderate-to-severe pain sensation. The quality of included studies was moderate-to-good. FMS appears to be related to protein dysregulation in the complement and coagulation cascades and the metabolism of iron. Several proteins may be dysregulated due to the excessive oxidative stress response.
Keyphrases
- chronic pain
- tyrosine kinase
- case control
- pain management
- neuropathic pain
- randomized controlled trial
- study protocol
- cerebrospinal fluid
- systematic review
- clinical trial
- mass spectrometry
- electronic health record
- quality improvement
- early onset
- case report
- open label
- body mass index
- weight gain
- physical activity
- big data
- deep learning
- binding protein
- artificial intelligence