Novel biomarker signatures for idiopathic REM sleep behavior disorder: A proteomic and system biology approach

Stefania Mondello, Firas Kobeissy, Yehia Mechref, Jingfu Zhao, Farid R. Talih, Filomena Cosentino, Elena Antelmi, Monica Moresco, Giuseppe Plazzi, Raffaele Ferri

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

Objective To perform a rigorous in-depth proteomics analysis to identify circulating biomarker signatures for idiopathic REM sleep behavior disorder (RBD), capable of providing new insights into the underlying pathogenic mechanisms and putative α-synuclein-related neurodegenerative processes. Methods Serum samples from patients with idiopathic RBD (n = 9) and healthy controls (n = 10) were subjected to a thorough liquid chromatography-mass spectrometry (MS)/MS proteomics analysis using ultimate 3,000 nanoLC interfaced to an ESI-orbitrap velos. Data were analyzed with a systems biology approach to identify altered pathways in RBD. Results We identified 259 proteins, 11 of which displayed significantly altered expression level in patients with RBD as compared to controls. Significant reduction in serum levels of dopamine β-hydroxylase (DBH) and vitamin D binding protein (GC) were consistent with alterations in the norepinephrinergic (NErgic) and dopaminergic systems, respectively. Additional altered protein profiles indicated that immunity, inflammation, complement, and coagulation also play a role in RBD pathophysiology. Conclusions Our results shed light on the protein signature profile, molecular pathways, and mechanisms involved in the pathogenesis of RBD and its clinical manifestation. This knowledge opens a new avenue towards more accurate and timely diagnosis and characterization of RBD, which might ultimately translate into new therapeutic strategies with disease-modifying effects. Further evaluation of the identified markers is required to confirm their diagnostic value and potential to guide clinical decision-making.

Original languageEnglish
Pages (from-to)E1710-E1715
JournalNeurology
Volume91
Issue number18
DOIs
StatePublished - Oct 30 2018

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