Principal Investigators

    Börje Sellergren


    Malmö University

    Contact information of lead PI



    Title of project or programme

    Diagnostic tools for neurodegenerative disease biomarkers based on robust optically signaling capture phases

    Source of funding information

    Swedish Research Council

    Total sum awarded (Euro)

    € 522,307

    Start date of award


    Total duration of award in years


    The project/programme is most relevant to:

    Alzheimer's disease & other dementias


    Research Abstract

    Neurodegenerative diseases such Alzheimers (AD) and age-related white matter disease, (ARWMD) are associated with a lack of reliable routine methods for an early and differential diagnosis. This is linked to the nature and behaviour of the established biomarkers in terms of their hydrophobicity, aggregation tendency, which together with their low abundence hampers the use of immunobased analytical methods. In this project we will develop robust peptide, protein or lipid binders in the form of Molecularly Imprinted Polymers (MIPs) or *plastic antibodies* which will serve as receptors in novel mass spectrometry or fluorescent assays compatible with nonphysiological conditions. Sequence specific MIPs for the AD biomarker ß-amyloid and its isoforms and proteotypic peptides the Tau protein as well as MIPs targeting a recently demonstrated blood based lipid biomarker panel for AD will be developed while incorporating fluorogenic monomers for optical reporting of bound analyte. The MIPs will subsequently be used for capture in array format followed by MS or fluorescence based readout of target binding. In contrast to antibodies MIPs are compatible with denaturing conditions and may thus allow for highly efficient and specific biomarker extraction generating information in terms of the absolute CSF or plasma target concentrations.

    Lay Summary

    Further information available at:

Types: Investments > €500k
Member States: Sweden
Diseases: Alzheimer's disease & other dementias
Years: 2016
Database Categories: N/A
Database Tags: N/A

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