%0 Journal Article
%A Herrmann, Yvonne
%A Kulawik, Andreas
%A Kühbach, Katja
%A Hülsemann, Maren
%A Peters, Luriano
%A Bujnicki, Tuyen
%A Kravchenko, Kateryna
%A Linnartz, Christina
%A Willbold, Johannes
%A Zafiu, Christian
%A Bannach, Oliver
%A Willbold, Dieter
%T sFIDA automation yields sub-femtomolar limit of detection for Aβ aggregates in body fluids
%J Clinical biochemistry
%V 50
%N 4-5
%@ 0009-9120
%C Amsterdam [u.a.]
%I Elsevier Science
%M FZJ-2016-06528
%P 244-247
%D 2017
%X Objectives: Alzheimer's disease (AD) is a neurodegenerative disorder with yet non-existent therapeutic and limited diagnostic options. Reliable biomarker-based AD diagnostics are of utmost importance for the development and application of therapeutic substances. Wehave previously introduced a platformtechnology designated ‘sFIDA’ for the quantitation of amyloid β peptide (Aβ) aggregates as AD biomarker. In this study we implemented the sFIDA assay on an automated platform to enhance robustness and performance of the assay.Design and methods: In sFIDA (surface-based fluorescence intensity distribution analysis) Aβ species are immobilized by a capture antibody to a glass surface. Aβ aggregates are then multiply loaded with fluorescent antibodies and quantitated by high resolution fluorescence microscopy. As a model system for Aβ aggregates, weused Aβ-conjugated silica nanoparticles (Aβ-SiNaPs) diluted in PBS buffer and cerebrospinal fluid, respectively. Automation of the assay was realized on a liquid handling system in combination with a microplate washer.Results: The automation of the sFIDA assay results in improved intra-assay precision, linearity and sensitivity in comparison to the manual application, and achieved a limit of detection in the sub-femtomolar range.Conclusions: Automation improves the precision and sensitivity of the sFIDA assay, which is a prerequisite for high-throughput measurements and future application of the technology in routine AD diagnostics.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000395965100015
%$ pmid:27823959
%R 10.1016/j.clinbiochem.2016.11.001
%U https://juser.fz-juelich.de/record/823896