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@ARTICLE{Sevenich:917327,
author = {Sevenich, Marc and Honold, Dominik and Willuweit, Antje and
Kutzsche, Janine and Mohrlüder, Jeannine and Willbold,
Dieter},
title = {{D}evelopment of an α-synuclein fibril and oligomer
specific tracer for diagnosis of {P}arkinson's disease,
dementia with {L}ewy bodies and multiple system atrophy},
journal = {Neurochemistry international},
volume = {161},
issn = {0197-0186},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2023-00555},
pages = {105422 -},
year = {2022},
abstract = {The development of specific disease-associated PET tracers
is one of the major challenges, the realization of which in
neurodegenerative diseases would enable not only the
efficiency of diagnosis but also support the development of
disease-modifying therapeutics. Parkinson's disease (PD) is
the most common neurodegenerative movement disorder and is
characterized by neuronal fibrillary inclusions composed of
aggregated α-synuclein (α-syn). However, these deposits
are not only found in PD, but also in other related diseases
such as multiple system atrophy (MSA) and dementia with Lewy
bodies (DLB), which are grouped under the term
synucleinopathies. In this study, we used NGS-guided phage
display selection to identify short peptides that bind
aggregated α-syn. By surface plasmon resonance (SPR)-based
affinity screening, we identified the peptide SVLfib-5 that
recognizes aggregated α-syn with high complex stability and
sequence specificity. Further analysis SPR showed that
SVLfib-5 is not only specific for aggregated α-syn, but in
particular recognizes fibrillary and oligomeric structures.
Moreover, fluorescence microscopy of human brain tissue
sections from PD, MSA, and DLB patients with SVLfib-5
allowed specific recognition of α-syn and a clear
discrimination between diseased and non-diseased samples.
These findings provide the basis for the further development
of an α-syn PET tracer for early diagnosis and monitoring
of disease progression and therapy progress.},
cin = {IBI-7},
ddc = {540},
cid = {I:(DE-Juel1)IBI-7-20200312},
pnm = {5244 - Information Processing in Neuronal Networks
(POF4-524) / SFB 1208 B02 - Identität und Dynamik von
Membransystemen - von Molekülen bis zu zellulären
Funktionen (267205415)},
pid = {G:(DE-HGF)POF4-5244 / G:(GEPRIS)267205415},
typ = {PUB:(DE-HGF)16},
pubmed = {36252819},
UT = {WOS:000880099200004},
doi = {10.1016/j.neuint.2022.105422},
url = {https://juser.fz-juelich.de/record/917327},
}