Abstract

Total CSF α-synuclein (t-α-syn), phosphorylated α-syn (pS129-α-syn) and α-syn oligomers (o-α-syn) have been studied as candidate biomarkers for synucleinopathies, with suboptimal specificity and sensitivity in the differentiation from healthy controls. Studies of α-syn species in patients with other underlying pathologies are lacking. The aim of this study was to investigate possible alterations in CSF α-syn species in a cohort of patients with diverse underlying pathologies. A total of 135 patients were included, comprising Parkinson’s disease (PD; n = 13), multiple system atrophy (MSA; n = 9), progressive supranuclear palsy (PSP; n = 13), corticobasal degeneration (CBD; n = 9), Alzheimer’s disease (AD; n = 51), frontotemporal degeneration (FTD; n = 26) and vascular dementia patients (VD; n = 14). PD patients exhibited higher pS129-α-syn/α-syn ratios compared to FTD (p = 0.045), after exclusion of samples with CSF blood contamination. When comparing movement disorders (i.e., MSA vs. PD vs. PSP vs. CBD), MSA patients had lower α-syn levels compared to CBD (p = 0.024). Patients with a synucleinopathy (PD and MSA) exhibited lower t-α-syn levels (p = 0.002; cut-off value: ≤865 pg/mL; sensitivity: 95%, specificity: 69%) and higher pS129-/t-α-syn ratios (p = 0.020; cut-off value: ≥0.122; sensitivity: 71%, specificity: 77%) compared to patients with tauopathies (PSP and CBD). There are no significant α-syn species alterations in non-synucleinopathies.

Highlights

  • Diagnostic accuracy of cognitive and movement disorders based on established clinical diagnostic criteria is suboptimal, even among experts [1,2,3,4]

  • Biomarkers that provide in vivo information of the underlying pathology in patients with cognitive and movement disorders are needed in order to improve diagnostic accuracy

  • Cerebrospinal fluid (CSF) biomarkers have already been incorporated in the NIA/AA and IWG-2 diagnostic criteria for Alzheimer’s disease (AD) [5,6]

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Summary

Introduction

Diagnostic accuracy of cognitive and movement disorders based on established clinical diagnostic criteria is suboptimal, even among experts [1,2,3,4] This is due to the clinical variability of most neurodegenerative diseases, which, not uncommonly, manifest with atypical phenotypes. CSF biomarkers have already been incorporated in the NIA/AA and IWG-2 diagnostic criteria for Alzheimer’s disease (AD) [5,6]. These include amyloid beta with 42 amino acids (Aβ42), a marker of amyloid pathology (plaque formation); total tau protein (τT), a nonspecific marker of neurodegeneration; phosphorylated tau protein at threonine 181 (τP-181), a marker of tau pathology (tangle formation). AD is characterized by a decrease in Aβ42 and an increase in τT and τP-181, which results in elevated biomarker indices such as τT/Aβ42 and τP-181/τT ratios

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