Back to Search
Start Over
MicroRNAs fingerprint of bicuspid aortic valve
- Publication Year :
- 2019
-
Abstract
- Aortic valve tissue is largely exposed to high blood flow. Cells belonging to aortic valve tissues are able to detect and respond to flow conditions changes. Bicuspid aortic valve (BAV) presents altered morphology, with only two abnormal cusps instead of three. This results in an alteration of blood flow dynamics on valve cusps and aortic wall, which may, in turn, increase the risk to develop aortic stenosis and/or regurgitation, endocarditis, aortopathy and/or aortic dissection. MicroRNAs (miRNAs) are short RNA strands regulating gene expression mainly through the inhibition of their target mRNAs. They are largely involved in cardiovascular pathophysiology and heart disease. More recently, it has been observed that the expression of specific miRNAs can be modulated in response to changes in hemodynamic conditions. Using a bioinformatic approach, this article analyses available scientific evidence about the differential expression of miRNAs in the bicuspid aortic valve, with a focus on the differential modulation compared to the calcific-degenerative tricuspid aortic valve.
- Subjects :
- 0301 basic medicine
Aortic valve
medicine.medical_specialty
Heart disease
Heart Diseases
Bicuspid aortic valve
Heart Valve Diseases
Hemodynamics
Regurgitation (circulation)
030204 cardiovascular system & hematology
03 medical and health sciences
Mice
0302 clinical medicine
Bicuspid Aortic Valve Disease
Internal medicine
Medicine
Endocarditis
Animals
Humans
Hemodynamic
Molecular Biology
Aorta
Aortic dissection
Shear stress
microRNA
business.industry
Flow
Animal
Calcinosis
Aortic Valve Stenosis
medicine.disease
Aortic Valve Stenosi
Shear stre
Stenosis
Heart Valve Disease
MicroRNAs
030104 developmental biology
medicine.anatomical_structure
Heart Disease
Aortic Valve
cardiovascular system
Cardiology
microRNAs
Calcinosi
Cardiology and Cardiovascular Medicine
business
Human
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....fab0da4a48e3971c0daa7da98ec3a54f