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Clin Chim Acta. 2017 Mar;466:152-159. doi: 10.1016/j.cca.2017.01.010. Epub 2017 Jan 11.

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

Author information

1
Forschungszentrum Jülich GmbH, ICS-6 Structural Biochemistry, 52425 Jülich, Germany.
2
Forschungszentrum Jülich GmbH, ICS-6 Structural Biochemistry, 52425 Jülich, Germany; Heinrich-Heine-Universität Düsseldorf, Institut für Physikalische Biologie, 40225 Düsseldorf, Germany.
3
Forschungszentrum Jülich GmbH, ICS-6 Structural Biochemistry, 52425 Jülich, Germany; Heinrich-Heine-Universität Düsseldorf, Institut für Physikalische Biologie, 40225 Düsseldorf, Germany. Electronic address: d.willbold@fz-juelich.de.

Abstract

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 α-synuclein (α-syn) oligomers which are presumably the major toxic isoform of α-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 α-syn coated silica nanoparticles (α-syn-SiNaPs) that are in the size range of α-syn oligomers and provide a defined number of α-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 α-syn-SiNaPs concentrations. Additionally, the limit of detection and lower limit of quantification were determined yielding concentrations in the lower femtomolar range.

KEYWORDS:

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

PMID:
28088342
DOI:
10.1016/j.cca.2017.01.010
[Indexed for MEDLINE]

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