% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Beyer:180719,
author = {L. Beyer and H. Stocker$^*$ and D. Rujescu and B. Holleczek
and J. Stockmann and A. Nabers and H. Brenner$^*$ and K.
Gerwert},
title = {{A}myloid-beta misfolding and {GFAP} predict risk of
clinical {A}lzheimer's disease diagnosis within 17 years.},
journal = {Alzheimer's and dementia},
volume = {19},
number = {3},
issn = {1552-5260},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {DKFZ-2022-01510},
pages = {1020-1028},
year = {2023},
note = {#EA:C070# / Volume19, Issue3, March 2023, Pages 1020-1028},
abstract = {Blood-based biomarkers for Alzheimer's disease (AD) are
urgently needed. Here, four plasma biomarkers were measured
at baseline in a community-based cohort followed over 17
years, and the association with clinical AD risk was
determined.Amyloid beta (Aβ) misfolding status as a
structure-based biomarker as well as phosphorylated tau 181
(P-tau181), glial fibrillary acidic protein (GFAP), and
neurofilament light (NfL) concentration levels were
determined at baseline in heparin plasma from 68
participants who were diagnosed with AD and 240 controls
without dementia diagnosis throughout follow-up.Aβ
misfolding exhibited high disease prediction accuracy of AD
diagnosis within 17 years. Among the concentration markers,
GFAP showed the best performance, followed by NfL and
P-tau181. The combination of Aβ misfolding and GFAP
increased the accuracy.Aβ misfolding and GFAP showed a
strong ability to predict clinical AD risk and may be
important early AD risk markers. Aβ misfolding illustrated
its potential as a prescreening tool for AD risk
stratification in older adults.},
keywords = {Alzheimer's disease (Other) / blood biomarkers (Other) /
immuno-infrared sensor (Other) / risk stratification (Other)
/ single molecule array (Other)},
cin = {C070},
ddc = {610},
cid = {I:(DE-He78)C070-20160331},
pnm = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
pid = {G:(DE-HGF)POF4-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35852967},
doi = {10.1002/alz.12745},
url = {https://inrepo02.dkfz.de/record/180719},
}