Reduced α‐synuclein levels in cerebrospinal fluid in Parkinson's disease are unrelated to clinical and imaging measures of disease severity

2014 
Background and purpose: The cerebrospinal fluid (CSF) concentration of α-synuclein may reflect the aggregation of α-synuclein in brain tissue that neuropathologically characterizes Parkinson's disease (PD). Although most studies in large cohorts report reduced CSF α-synuclein levels in PD, the available data to date are not consistent due to variation in group sizes, pre-analytical confounding factors and assay characteristics. Furthermore, it remains unclear whether CSF α-synuclein concentrations correlate with measures of disease severity. Acknowledging the methodological issues that emerged from previous studies, we evaluated whether CSF α-synuclein levels differ between patients with PD and controls, and relate to disease duration or severity. Methods: α-Synuclein levels were measured in CSF samples of 53 well-characterized patients with PD and 50 healthy controls employing a recently developed time-resolved Forster's resonance energy transfer assay. In addition, we studied the relationship of CSF α-synuclein levels with disease duration, clinical measures of disease severity and the striatal dopaminergic deficit as measured by dopamine transporter binding and single photon emission computed tomography. Results: In patients with PD, we observed a decrease in mean CSF α-synuclein levels that was unrelated to disease duration or measures of disease severity. Using total protein normalized α-synuclein, a sensitivity and specificity of 70% and 74% could be reached for distinguishing between patients with PD and controls. Conclusion: CSF α-synuclein levels are reduced in patients with PD compared with healthy controls. However, sensitivity and specificity indicate that α-synuclein will not suffice as a single biomarker. CSF α-synuclein levels do not correlate with measures of disease severity, including striatal dopaminergic deficit. © 2013 The Author(s). European Journal of Neurology © 2013 EFNS.
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