4.7 Article

Nanoparticle standards for immuno-based quantitation of α-synuclein oligomers in diagnostics of Parkinson's disease and other synucleinopathies

Journal

CLINICA CHIMICA ACTA
Volume 466, Issue -, Pages 152-159

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cca.2017.01.010

Keywords

Parkinson's disease; alpha-Synuclein; Diagnostic biomarker; Surface-based fluorescence intensity distribution analysis (sFIDA); Silica nanoparticles (SiNaPs); Automation; Protein aggregates; Neurodegenerative diseases

Funding

  1. European Union Seventh Framework Programme (FP7/2007-2013) (SYMPATH project) [602999]
  2. Federal Ministry of Education and Research within the projects VIP [03V0641]
  3. KNDD [01GI1010A]
  4. JPND/BIOMARKAPD [01ED1203H]
  5. Program Biomarkers Across Neurodegenerative Diseases of The Alzheimer's Association [11084]
  6. Alzheimer's Research UK
  7. Michael J. Fox Foundation for Parkinson's Research
  8. Weston Brain Institute

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Parkinson's disease (PD) is a neurodegenerative disorder that is characterized by symptoms such as rigor, tremor and bradykinesia. A reliable and early diagnosis could improve the development of early therapeutic strategies before death of dopaminergic neurons leads to the first clinical symptoms. The sFIDA (surface-based fluorescence intensity distribution analysis) assay is a highly sensitive method to determine the concentration of alpha-synuclein (alpha-syn) oligomers which are presumably the major toxic isoform of alpha-syn and potentially the most direct biomarker for PD. Oligomer-based diagnostic tests require standard molecules that closely mimic the native oligomer. This is particularly important for calibration and assessment of inter-assay variation. In this study, we generated a standard in form of alpha-syn coated silica nanoparticles (alpha-syn-SiNaPs) that are in the size range of alpha-syn oligomers and provide a defined number of alpha-syn epitopes. The preparation of the sFIDA assay was realized on an automated platform to allow handling of high number of samples and reduce the effects of human error. The assay outcome was analyzed by determination of coefficient of variation and linearity for the applied alpha-syn-SiNaPs concentrations. Additionally, the limit of detection and lower limit of quantification were determined yielding concentrations in the lower femtomolar range. (C) 2017 Elsevier B.V. All rights reserved.

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