| Literature DB >> 29671812 |
Froso Sophocleous1, Elena Giulia Milano2,3, Giulia Pontecorboli4, Pierpaolo Chivasso5, Massimo Caputo6,7, Cha Rajakaruna8,9, Chiara Bucciarelli-Ducci10,11, Costanza Emanueli12,13,14, Giovanni Biglino15,16.
Abstract
Bicuspid aortic valve (BAV) patients have an increased incidence of developing aortic dilation. Despite its importance, the pathogenesis of aortopathy in BAV is still largely undetermined. Nowadays, intense focus falls both on BAV morphology and progression of valvular dysfunction and on the development of aortic dilation. However, less is known about the relationship between aortic valve morphology and aortic dilation. A better understanding of the molecular pathways involved in the homeostasis of the aortic wall, including the extracellular matrix, the plasticity of the vascular smooth cells, TGFβ signaling, and epigenetic dysregulation, is key to enlighten the mechanisms underpinning BAV-aortopathy development and progression. To date, there are two main theories on this subject, i.e., the genetic and the hemodynamic theory, with an ongoing debate over the pathogenesis of BAV-aortopathy. Furthermore, the lack of early detection biomarkers leads to challenges in the management of patients affected by BAV-aortopathy. Here, we critically review the current knowledge on the driving mechanisms of BAV-aortopathy together with the current clinical management and lack of available biomarkers allowing for early detection and better treatment optimization.Entities:
Keywords: aortopathy; bicuspid aortic valve; clinical management; hemodynamics; microRNAs; molecular pathways
Year: 2018 PMID: 29671812 PMCID: PMC6023468 DOI: 10.3390/jcdd5020021
Source DB: PubMed Journal: J Cardiovasc Dev Dis ISSN: 2308-3425
List of abbreviations.
| Abbreviation | Full Name |
|---|---|
| AAo | Ascending aorta |
| ACE | Angiotensin-converting enzyme |
| BAV | Bicuspid aortic valve |
| ECM | Extracellular matrix |
| GWA | Genome wide association |
| LLC | Large latent complex |
| LTBP | Latent transforming growth factor beta binding protein |
| miRNA | microRNA |
| MMP | Matrix metalloproteinase |
| TAA | Thoracic aortic aneurysm |
| TAV | Tricuspid aortic valve |
| TGF | Transforming growth factor |
| TIMP | Tissue inhibitor matrix metalloproteinase |
| SLC | Small latent complex |
| SMC | Smooth muscle cells |
| WSS | Wall shear stress |
Figure 1Mechanisms involved in cystic medial necrosis, eventually leading to aortopathy in BAV patients. The role of TGF-β as a mediator of ECM degradation is depicted (top left). Deficiency in fibrillin-1 leads to an excess of free and active TGF-β due to a decrease in microfibrils and a failure in matrix sequestration of the large latent complex (top left). Also, reduced microfibrils lead to decreased formation of elastic fibers. Then, TGF-β binds to its SMC membrane receptor, initiating the SMAD/TGF-β canonical pathway. Deficiency in either TGFBR1/2 or SMAD4 can also lead to aneurysm formation, along with dysregulation in the MMP/ TIMP ratio. Elastic fiber fragmentation due to MMPs takes place, as well as decrease in SMC differentiation ability and connection to elastin (bottom left). Collagen accumulation and eventually SMC loss and collagen degradation by MMPs can then occur (bottom left). All these mechanisms, in the absence of inflammation (top right), lead to aortopathy in BAV patients. (LAP = latency-associated peptide; P = phosphorylation).
Figure 2Representation of the wall shear stress (WSS) distribution (A, posterior view of the aorta) and flow velocity (B, front view of the ascending aorta) in a healthy volunteer and a BAV patient with right coronary cusp-left coronary cusp raphe, obtained from 4D flow cardiac magnetic resonance (CMR) imaging. This is a visual indication of increased WSS at the aneurysm location and abnormal flow jet in the presence of BAV. Furthermore, the flow in the BAV patient seems to go along the anterior right curvature of the AAo and then fold inferiorly along the inner curvature, rather than accessing the transverse aortic arch, as also reported in the literature [85]. Data collected at the Clinical Research and Imaging Centre (CRiC), University of Bristol; not previously published.
Figure 3Schematic summary of the multiscale nature of the problem of BAV aortopathy and the interplay of different dimensions. The blue arrows indicate the known or possible interplay between genetics, hemodynamic alterations, and other factors underlying BAV aortopathy. These represent stimulating areas of current and future research.