Abstract
Chronic widespread pain (CWP) has a high prevalence in the population and is associated with prominent negative individual and societal consequences. There is no clear consensus concerning the etiology behind CWP although alterations in the central processing of nociception maintained by peripheral nociceptive input has been suggested. Here, we use proteomics to study protein changes in trapezius muscle from 18 female patients diagnosed with CWP compared to 19 healthy female subjects. The 2-dimensional gel electrophoresis (2-DE) in combination with multivariate statistical analyses revealed 17 proteins to be differently expressed between the two groups. Proteins were identified by mass spectrometry. Many of the proteins are important enzymes in metabolic pathways like the glycolysis and gluconeogenesis. Other proteins are associated with muscle damage, muscle recovery, stress and inflammation. The altered expressed levels of these proteins suggest abnormalities and metabolic changes in the myalgic trapezius muscle in CWP. Taken together, this study gives further support that peripheral factors may be of importance in maintaining CWP.
Highlights
Chronic widespread pain (CWP) has a high prevalence in the population and is associated with prominent negative individual and societal consequences
In a recent study[42] we have identified proteins from the interstitium of trapezius muscle in women with chronic regional myalgia or with chronic widespread pain (CWP)/ fibromyalgia syndrome (FMS) using microdialysis (MD), which is a method originally used studying metabolites[43]
All three stress and inflammatory proteins were up-regulated in CWP while the other types of proteins were both up- and down regulated
Summary
Chronic widespread pain (CWP) has a high prevalence in the population and is associated with prominent negative individual and societal consequences. As a growing belief that a panel of multiple biomarkers, or biocluster will perform better than a single biomarker in the attempt of understanding the pain mechanisms the development of large-scale-data analyses or multivariate data analyses (MVDA) has emerged These statistical methods are capable of handling a number of intercorrelated substances and uses advanced principal component analyses (PCA) and Partial Least Squares (PLS) regressions as important tools. Proteomic studies have the potential to significantly improve our knowledge of peripheral muscle alterations and its relation to aspects of pain in CWP and hopefully open up for mechanism-based classifications and treatments of common chronic pain conditions This cross-sectional study investigates the proteome of trapezius muscle biopsies in women with CWP compared to pain-free female controls (CON) using 2-DE in combination with MVDA
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