» Articles » PMID: 38338749

Defining the Role of the MiR-145-KLF4-αSMA Axis in Mitral Valvular Interstitial Cell Activation in Myxomatous Mitral Valve Prolapse Using the Canine Model

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2024 Feb 10
PMID 38338749
Authors
Affiliations
Soon will be listed here.
Abstract

Mitral valve prolapse (MVP) is a common valvular disease, affecting 2-3% of the adult human population and is a degenerative condition. A total of 5-10% of the afflicted will develop severe mitral regurgitation, cardiac dysfunction, congestive heart failure, and sudden cardiac death. Naturally occurring myxomatous MVP in dogs closely resembles MVP in humans structurally, and functional consequences are similar. In both species, valvular interstitial cells (VICs) in affected valves exhibit phenotype consistent with activated myofibroblasts with increased alpha-smooth muscle actin (αSMA) expression. Using VICs collected from normal and MVP-affected valves of dogs, we analyzed the miRNA expression profile of the cells and their associated small extracellular vesicles (sEV) using RNA sequencing to understand the role of non-coding RNAs and sEV in MVP pathogenesis. was shown to be upregulated in both the affected VICs and sEV, and overexpression of by mimic transfection in quiescent VIC recapitulates the activated myofibroblastic phenotype. Concurrently, KLF4 expression was noted to be suppressed by , confirming the -KLF4-αSMA axis. Targeting this axis may serve as a potential therapy in controlling pathologic abnormalities found in MVP valves.

Citing Articles

Involvement of TGF-β, mTOR, and inflammatory mediators in aging alterations during myxomatous mitral valve disease in a canine model.

Grzeczka A, Graczyk S, Kordowitzki P Geroscience. 2025; .

PMID: 39865135 DOI: 10.1007/s11357-025-01520-0.

References
1.
Andersen C, Jensen J, Orntoft T . Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004; 64(15):5245-50. DOI: 10.1158/0008-5472.CAN-04-0496. View

2.
Love M, Huber W, Anders S . Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15(12):550. PMC: 4302049. DOI: 10.1186/s13059-014-0550-8. View

3.
Delwarde C, Capoulade R, Merot J, Scouarnec S, Bouatia-Naji N, Yu M . Genetics and pathophysiology of mitral valve prolapse. Front Cardiovasc Med. 2023; 10:1077788. PMC: 9978496. DOI: 10.3389/fcvm.2023.1077788. View

4.
Han R, Black A, Culshaw G, French A, Else R, Corcoran B . Distribution of myofibroblasts, smooth muscle-like cells, macrophages, and mast cells in mitral valve leaflets of dogs with myxomatous mitral valve disease. Am J Vet Res. 2008; 69(6):763-9. DOI: 10.2460/ajvr.69.6.763. View

5.
Battaglia V, Santangelo G, Bursi F, Simeoli P, Guazzi M . Arrhythmogenic Mitral Valve Prolapse and Sudden Cardiac Death: An Update and Current Perspectives. Curr Probl Cardiol. 2023; 48(7):101724. DOI: 10.1016/j.cpcardiol.2023.101724. View