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Discovery of restless legs syndrome plasmatic biomarkers by proteomic analysis.

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Discovery of restless legs syndrome plasmatic biomarkers by proteomic analysis.

Brain Behav. 2018 Sep 22;:e01062

Authors: Bellei E, Monari E, Ozben S, Koseoglu Bitnel M, Topaloglu Tuac S, Tomasi A, Bergamini S

Abstract
OBJECTIVES: Restless legs syndrome (RLS) can lead to severe clinical consequences, thus negatively impacts on patients’ overall health and quality of life. Nevertheless, the pathophysiology of RLS is still unclear, resulting in underestimate, incorrect, or ignored diagnosis and in limited management and treatment. The aim of this study was to compare the plasma proteome of RLS patients and healthy controls, in the search of diagnostic biomarkers related to the disease severity.
MATERIALS AND METHODS: Two-dimensional gel electrophoresis coupled with liquid chromatography-mass spectrometry was employed to analyze plasma samples of 34 patients with primary RLS, divided into two subgroups according to the disease severity: MMS group (mild-moderate symptoms) and HS group (severe and very severe symptoms), and 17 age- and sex-matched control subjects. Sleep quality, daytime sleepiness, and the level of depression were also evaluated.
RESULTS: We identified eight upregulated spots, corresponding to five unique proteins, in both RLS group vs. controls (alpha-1B-glycoprotein, alpha-1-acid glycoprotein 1, haptoglobin, complement C4-A, and immunoglobulin kappa constant); five increased spots, consistent with three unique proteins, only in HS-RLS (kininogen-1, immunoglobulin heavy constant alpha 1, and immunoglobulin lambda constant 2); one downregulated spot in both patient’s groups (complement C3) and another one only in HS-RLS (alpha-1-antitrypsin).
CONCLUSIONS: The significantly different plasma proteins detected in RLS were mainly associated with inflammation, immune response, and cardiovascular disorders. Particularly, the gradual increasing in immunoglobulins could be indicative of the disease severity and evolution. Accordingly, these proteins may represent a valid set of useful biomarkers for RLS diagnosis, progression and treatment.

PMID: 30244532 [PubMed – as supplied by publisher]

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