% 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”.
@INPROCEEDINGS{Erszl:283177,
author = {Ersözlü, Ersin and Hellmann-Regen, Julian},
title = {{A}n explorative analyses of in vivo plasma marker
alterations in relation to imaging and neuropathological
indicators of cerebral amyloid angiopathy},
journal = {Alzheimer's and dementia},
volume = {21 Suppl 2},
number = {Suppl 2},
issn = {1552-5260},
reportid = {DZNE-2026-00056},
pages = {e105585},
year = {2025},
abstract = {Alzheimer's disease (AD) is one of the most prevalent
causes of dementia, while concomitant diseases such as
cerebral amyloid angiopathy (CAA) has a substantial impact
on clinical trajectories and therapy, i.e. risk factor for
imaging abnormalities under anti-amyloid antibodies. As
there are no established biomarkers to identify individual
with CAA, we aim to explore potential plasma biomarkers for
mechanisms related to CAA in participants in continuum of
AD.We included a total of 47 participants from the AD
Neuroimaging Initiative study with available plasma
biomarkers from a multiplex immunoassay panel (n = 145
analytes from 'Biomarkers Consortium MRM data', consisting
of proteins related to cancer, cardiovascular disease,
metabolic disorders, inflammation, and AD). We stratified
the cohort into participants with either T2*-GRE magnetic
resonance images (MRI) (n = 21) at baseline or postmortem
neuropathological assessment (n = 26). The numbers of
definite lobar microbleeds were obtained from central visual
readings (Mayo Clinic, Jack Lab), while central
neuropathological severity scales for AD (AD neuropathologic
change) and CAA (overall neocortical amyloid angiopathy)
were included. We defined CAA status as at least two lobar
microbleeds in orientation to the Boston criteria and at
least moderate density in neuropathology. Plasma analytes
were measured twice with a one-year time difference with a
maximum of 6.6 years prior to either first MRI or time of
death. Non-parametric receiver operating characteristic
curves and area under the curve (AUC) values of analytes in
differentiation of CAA status.In both cohorts with imaging
and NP data, most of the participants exhibited cognitive
symptoms and revealed in vivo or neuropathological changes
regarding AD (Table-1). Using the imaging, various markers
related to inflammation, lipid metabolism, cell adhesion,
and sex steroids are found to show a constant increase in
CAA (Table-2, Figure 1). Moreover, we identified increases
in Clusterin and Complement Factor H levels as well as
reduced Alpha-Fetoprotein, characterizing the
neuropathological definition of CAA (Table-2, Figure
1).Using both ante-mortem and post-mortem indicators of CAA,
several candidate plasma biomarkers of CAA have been found,
whereas replications in bigger samples with multiple
measurements are crucial to address confounder factors and
temporal relationships.},
month = {Jul},
date = {2025-07-27},
organization = {Alzheimer’s Association
International Conference, Toronto
(Canada), 27 Jul 2025 - 31 Jul 2025},
keywords = {Humans / Biomarkers: blood / Male / Female / Alzheimer
Disease: blood / Alzheimer Disease: pathology / Alzheimer
Disease: diagnostic imaging / Aged / Magnetic Resonance
Imaging / Cerebral Amyloid Angiopathy: blood / Cerebral
Amyloid Angiopathy: pathology / Cerebral Amyloid Angiopathy:
diagnostic imaging / Aged, 80 and over / Cohort Studies /
Brain: pathology / Brain: diagnostic imaging / Biomarkers
(NLM Chemicals)},
cin = {AG Endres},
ddc = {610},
cid = {I:(DE-2719)1811005},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)1 / PUB:(DE-HGF)16},
pubmed = {pmid:41512227},
pmc = {pmc:PMC12788821},
doi = {10.1002/alz70856_105585},
url = {https://pub.dzne.de/record/283177},
}