% 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{Talevi:270807,
author = {Talevi, Valentina and Melas, Konstantinos and Pehlivan,
Gökhan and Imtiaz, Mohammed A and Krüger, Dennis Manfred
and Centeno, Tonatiuh Pena and Aziz, N Ahmad and Fischer,
Andre and Breteler, Monique M B},
title = {{P}eripheral whole blood micro{RNA} expression in relation
to vascular function: a population-based study.},
journal = {Journal of translational medicine},
volume = {22},
number = {1},
issn = {1479-5876},
address = {London},
publisher = {BioMed Central},
reportid = {DZNE-2024-00898},
pages = {670},
year = {2024},
abstract = {As key regulators of gene expression, microRNAs affect many
cardiovascular mechanisms and have been associated with
several cardiovascular diseases. In this study, we aimed to
investigate the relation of whole blood microRNAs with
several quantitative measurements of vascular function, and
explore their biological role through an integrative
microRNA-gene expression analysis.Peripheral whole blood
microRNA expression was assessed through RNA-Seq in 2606
participants $(45.8\%$ men, mean age: 53.93, age range: 30
to 95 years) from the Rhineland Study, an ongoing
population-based cohort study in Bonn, Germany. Weighted
gene co-expression network analysis was used to cluster
microRNAs with highly correlated expression levels into 14
modules. Through linear regression models, we investigated
the association between each module's expression and
quantitative markers of vascular health, including pulse
wave velocity, total arterial compliance index, cardiac
index, stroke index, systemic vascular resistance index,
reactive skin hyperemia and white matter hyperintensity
burden. For each module associated with at least one trait,
one or more hub-microRNAs driving the association were
defined. Hub-microRNAs were further characterized through
mapping to putative target genes followed by gene ontology
pathway analysis.Four modules, represented by hub-microRNAs
miR-320 family, miR-378 family, miR-3605-3p, miR-6747-3p,
miR-6786-3p, and miR-330-5p, were associated with total
arterial compliance index. Importantly, the miR-320 family
module was also associated with white matter hyperintensity
burden, an effect partially mediated through arterial
compliance. Furthermore, hub-microRNA miR-192-5p was related
to cardiac index. Functional analysis corroborated the
relevance of the identified microRNAs for vascular function
by revealing, among others, enrichment for pathways involved
in blood vessel morphogenesis and development, angiogenesis,
telomere organization and maintenance, and insulin
secretion.We identified several microRNAs robustly
associated with cardiovascular function, especially arterial
compliance and cardiac output. Moreover, our results
highlight miR-320 as a regulator of cerebrovascular damage,
partly through modulation of vascular function. As many of
these microRNAs were involved in biological processes
related to vasculature development and aging, our results
contribute to the understanding of vascular physiology and
provide putative targets for cardiovascular disease
prevention.},
keywords = {Humans / Male / Middle Aged / Female / MicroRNAs: blood /
MicroRNAs: genetics / Aged / Adult / Aged, 80 and over /
Gene Regulatory Networks / Gene Expression Regulation /
Blood Vessels: physiology / Cohort Studies / Gene Ontology /
Gene Expression Profiling / Arterial compliance (Other) /
Biomarkers (Other) / Blood microRNA (Other) / Cardiac output
(Other) / Epigenomics (Other) / Population-based (Other) /
Vascular function (Other) / WGCNA (Other) / White matter
hyperintensity (Other) / microRNA-gene regulatory networks
(Other) / MicroRNAs (NLM Chemicals)},
cin = {AG Breteler / AG Fischer / Bioinformatics Unit (Göttingen)
/ AG Aziz},
ddc = {610},
cid = {I:(DE-2719)1012001 / I:(DE-2719)1410002 /
I:(DE-2719)1440016 / I:(DE-2719)5000071},
pnm = {354 - Disease Prevention and Healthy Aging (POF4-354) / 352
- Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-354 / G:(DE-HGF)POF4-352},
experiment = {EXP:(DE-2719)Rhineland Study-20190321},
typ = {PUB:(DE-HGF)16},
pmc = {pmc:PMC11264787},
pubmed = {pmid:39030538},
doi = {10.1186/s12967-024-05407-0},
url = {https://pub.dzne.de/record/270807},
}