sFIDA automation yields sub-femtomolar limit of detection for Aβ aggregates in body fluids

Herrmann, Yvonne; Kühbach, Katja; Kravchenko, Kateryna; Linnartz, Christina; Hülsemann, Maren; Willbold, Dieter; Willbold, Johannes; Bannach, Oliver; Kulawik, Andreas; Bujnicki, Tuyen; Peters, Luriano; Zafiu, Christian

doi:10.1016/j.clinbiochem.2016.11.001

Journal Article

FZJ-2016-06528

sFIDA automation yields sub-femtomolar limit of detection for Aβ aggregates in body fluids

Herrmann, Y.FZJ* ; Kulawik, A.FZJ* ; Kühbach, K.FZJ* ; Hülsemann, M. ; Peters, L.FZJ* ; Bujnicki, T.FZJ* ; Kravchenko, K. ; Linnartz, C.FZJ* ; Willbold, J.FZJ* ; Zafiu, C.FZJ* ; Bannach, O.FZJ* ; Willbold, D. (Corresponding author)FZJ*

2017
Elsevier Science Amsterdam [u.a.]

Clinical biochemistry 50(4-5), 244-247 (2017) [10.1016/j.clinbiochem.2016.11.001]

This record in other databases:

Please use a persistent id in citations: doi:10.1016/j.clinbiochem.2016.11.001

Abstract: 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.

Classification: