% 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{Liu:272964,
author = {Liu, Shiwei and Park, Tamina and Krüger, Dennis M and Pena
Centeno, Tonatiuh and Burkhardt, Susanne and Schutz,
Anna-Lena and Huang, Yen-Ning and Rosewood, Thea and
Chaudhuri, Soumilee and Cho, MinYoung and Risacher, Shannon
L and Wan, Yang and Shaw, Leslie M and Sananbenesi, Farahnaz
and Brodsky, Alexander S and Lin, Honghuang and Krunic,
Andre and Blusztajn, Jan Krzysztof and Saykin, Andrew J and
Delalle, Ivana and Fischer, Andre and Nho, Kwangsik},
collaboration = {Initiative, Alzheimer's Disease Neuroimaging},
title = {{P}lasma mi{RNA}s across the {A}lzheimer's disease
continuum: {R}elationship to central biomarkers.},
journal = {Alzheimer's and dementia},
volume = {20},
number = {11},
issn = {1552-5260},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {DZNE-2024-01343},
pages = {7698 - 7714},
year = {2024},
abstract = {MicroRNAs (miRNAs) play important roles in gene expression
regulation and Alzheimer's disease (AD) pathogenesis.We
investigated the association between baseline plasma miRNAs
and central AD biomarkers from the Alzheimer's Disease
Neuroimaging Initiative (ADNI; N = 803): amyloid, tau, and
neurodegeneration (A/T/N). Differentially expressed miRNAs
and their targets were identified, followed by pathway
enrichment analysis. Machine learning approaches were
applied to investigate the role of miRNAs as blood
biomarkers.We identified nine, two, and eight miRNAs
significantly associated with A/T/N positivity,
respectively. We identified 271 genes targeted by
amyloid-related miRNAs with estrogen signaling
receptor-mediated signaling among the enriched pathways.
Additionally, 220 genes targeted by
neurodegeneration-related miRNAs showed enrichment in
pathways including the insulin growth factor 1 pathway. The
classification performance of demographic information for
A/T/N positivity was increased up to $9\%$ with the
inclusion of miRNAs.Plasma miRNAs were associated with
central A/T/N biomarkers, highlighting their potential as
blood biomarkers.We performed association analysis of
microRNAs (miRNAs) with amyloid/tau/neurodegeneration
(A/T/N) biomarker positivity. We identified dysregulated
miRNAs for A/T/N biomarker positivity. We identified
Alzheimer's disease biomarker-specific/common pathways
related to miRNAs. miRNAs improved the classification for
A/T/N positivity by up to $9\%.$ Our study highlights the
potential of miRNAs as blood biomarkers.},
keywords = {Humans / Alzheimer Disease: blood / Alzheimer Disease:
genetics / Biomarkers: blood / MicroRNAs: blood / MicroRNAs:
genetics / Female / Male / Aged / Aged, 80 and over /
Machine Learning / tau Proteins: blood / Amyloid
beta-Peptides: blood / Alzheimer's disease (Other) / amyloid
(Other) / biomarkers (Other) / classification (Other) /
microRNAs (Other) / neurodegeneration (Other) / plasma
(Other) / tau (Other) / Biomarkers (NLM Chemicals) /
MicroRNAs (NLM Chemicals) / tau Proteins (NLM Chemicals) /
Amyloid beta-Peptides (NLM Chemicals)},
cin = {AG Fischer / Bioinformatics Unit (Göttingen) / AG
Sananbenesi},
ddc = {610},
cid = {I:(DE-2719)1410002 / I:(DE-2719)1440016 /
I:(DE-2719)1410004},
pnm = {352 - Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:39291737},
pmc = {pmc:PMC11567826},
doi = {10.1002/alz.14230},
url = {https://pub.dzne.de/record/272964},
}