Molecular Network Analysis of Circulating microRNAs Highlights miR-17-5p and miR-29a-3p as Potential Biomarkers of Aortic Valve Calcification

Calcific aortic valve disease (CAVD) is characterized by progressive valve remodeling and calcification. Moreover, microRNAs (miRNAs) are emerging as key regulators of cardiovascular pathology and potential circulating biomarkers. We performed high-throughput miRNA profiling in calcified aortic valve tissue and matched patient serum samples using an array that included 98 human miRNAs. Expression data were log10-transformed and filtered to identify biologically relevant miRNAs. Shared miRNAs between tissue and serum were further validated by quantitative real-time polymerase chain reaction (qRT-PCR) in patients and healthy controls. Of the 49 actively expressed miRNAs, 18 were shared between valve tissue and serum. Thus, qRT-PCR validation revealed significant downregulation of miR-17-5p and miR-29a-3p in CAVD patient serum compared to controls. These results indicate that disease-associated miRNA alterations in calcified valves are mirrored in circulation. miR-17-5p and miR-29a-3p represent promising circulating biomarkers for CAVD, reflecting underlying pathological remodeling and extracellular matrix dysregulation. Our findings provide a framework for non-invasive monitoring of valve calcification and highlight miRNA-mediated pathways as potential therapeutic targets.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-11-07
DOI
https://doi.org/10.3390/ijms262210813
Citations
1
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Network Analysis of Circulating microRNAs Highlights miR-17-5p and miR-29a-3p as Potential Biomarkers of Aortic Valve Calcification

Michele Braggio, Antonella Galeone, Mattia Cominacini, Luca Dalle Carbonare et al.
1 citations
International Journal of Molecular Sciences
Cardiac Valve Diseases and Treatments
1.39
article

Molecular Network Analysis of Circulating microRNAs Highlights miR-17-5p and miR-29a-3p as Potential Biomarkers of Aortic Valve Calcification

Michele Braggio, Antonella Galeone, Mattia Cominacini, Luca Dalle Carbonare, Giuseppe Faggian, Arianna Minoia, Giovanni Battista Luciani, Maria Teresa Valenti, Maria Grazia Romanelli
article en
1 citations

Abstract

Calcific aortic valve disease (CAVD) is characterized by progressive valve remodeling and calcification. Moreover, microRNAs (miRNAs) are emerging as key regulators of cardiovascular pathology and potential circulating biomarkers. We performed high-throughput miRNA profiling in calcified aortic valve tissue and matched patient serum samples using an array that included 98 human miRNAs. Expression data were log10-transformed and filtered to identify biologically relevant miRNAs. Shared miRNAs between tissue and serum were further validated by quantitative real-time polymerase chain reaction (qRT-PCR) in patients and healthy controls. Of the 49 actively expressed miRNAs, 18 were shared between valve tissue and serum. Thus, qRT-PCR validation revealed significant downregulation of miR-17-5p and miR-29a-3p in CAVD patient serum compared to controls. These results indicate that disease-associated miRNA alterations in calcified valves are mirrored in circulation. miR-17-5p and miR-29a-3p represent promising circulating biomarkers for CAVD, reflecting underlying pathological remodeling and extracellular matrix dysregulation. Our findings provide a framework for non-invasive monitoring of valve calcification and highlight miRNA-mediated pathways as potential therapeutic targets.

International Journal of Molecular SciencesVol. 26(22)
University of Verona (IT)
Università degli Studi di Verona
Openalex Percentile: Top 13%
Cardiac Valve Diseases and Treatments
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.