| Literature DB >> 32195449 |
Joseph Nader1, Laurent Metzinger2, Pierre Maitrias3, Thierry Caus1, Valérie Metzinger-Le Meuth2,4.
Abstract
Aortic valve stenosis remains the most frequent structural heart disease, especially in the elderly. During the last decade, we noticed an important consideration and a huge number of publications related to the medical and surgical treatment of this disease. However, the molecular aspect of this degenerative issue has also been more widely studied recently. As evidenced in oncologic but also cardiac research fields, the emergence of microRNAs in the molecular screening and follow-up makes them potential biomarkers in the future, for the diagnosis, follow-up and treatment of aortic stenosis. Herein, we present a review on the implication of microRNAs in the aortic valve disease management. After listing and describing the main miRNAs of interest in the field, we provide an outline to develop miRNAs as innovative biomarkers and innovative therapeutic strategies, and describe a groundbreaking pre-clinical study using inhibitors of miR-34a in a pre-clinical model of aortic valve stenosis.Entities:
Keywords: Aortic stenosis; Biomarker; Translational research; microRNA
Year: 2020 PMID: 32195449 PMCID: PMC7075756 DOI: 10.1016/j.ncrna.2020.02.005
Source DB: PubMed Journal: Noncoding RNA Res ISSN: 2468-0540
Echographical classification of the severity of aortic valve stenosis.
| Echographical criteria | Severity of Aortic Valve Stenosis | ||
|---|---|---|---|
| Mild | Moderate | Severe | |
| Effective Aortic Valve Area (cm2) | >1,5 | 1,0–1,5 | <1,0 |
| Indexed Effective Aortic Valve Area (cm2/m2) | <0,6 | ||
| Mean Transvalvular Gradient (mmHg) | <25 | 25–40 | >40 |
| Transvalvular velocity (m/s) | <3,0 | 3,0–4,0 | >4,0 |
Fig. 1Molecular aspects of aortic valve calcification, showing the major main process implicated in the aortic valve calcifications.
Biomarkers issued from main studies, in relation with the diagnosis and prognosis of aortic stenosis (BNP: B-type Natriuretic Peptide; NT-proBNP; AS: Aortic stenosis; AVR: Aortic Valve Replacement; sST2: soluble ST2; MMP: Matrix Metalloproteases; CV: Cardiovascular).
| Biomarker | Role | Author | Sample Size | Results | Ref. |
|---|---|---|---|---|---|
| BNP/NT-proBNP | Myocardial Hormone released in response to intracardiac pressure increase | Berger-Klein, 2004 | 87 symptomatic v/s 43 asymptomatic AS | BNP higher in symptomatic patients | [ |
| Weber, 2006 | 102 undergoing AVR and 57 medically treated AS | NT-proBNP as independent prognostic information of adverse outcomes in medically treated patients | [ | ||
| Clavel, 2014 | 1953 patients with > moderate AS | Higher mortality with higher BNP levels | [ | ||
| Capoulade, 2014 | 211 asymptomatic AS | Higher BNP = Higher occurrence of adverse events | [ | ||
| Troponin T | Reflects the muscular ischemic injury | Chin, 2014 | 131 patients | Torponin level associated with AVR or CV death | [ |
| sST2 | Reflects cardiovascular stress and fibrosis | Lancellotti, 2015 | 86 patients with AS | Independent predictor of cardiovascular event/heart failure | [ |
| Galectin-3 | Arangalage, 2016 | 583 patients with AS | No correlation between Galectin-3 and AS complications | [ | |
| Lipoprotein A (LpA) | Promotes atherosclerotoc stenosis and thrombosis | Arsenault, 2014 | 17553 participants | High level of a variant of LpA = increased risk of AS | [ |
| Kamstrup, 2014 | 77680 participants | Elevated LpA >90 md/dl = Increased risk of AS in the general population | [ | ||
| Metalloproteases (MMP) | Inflammatory enzymes degrading collagen, elastin and proteoglycans in the matrix | Edep, 2000 | 9 AS patients v/s 4 without AS | MMP-1,-2 & −3 overexpressed in AS valves v/s normal leaflets | [ |
MicroRNAs implicated in the development of calcific aortic valve disease.
| miR- | Action | Target | Expression | Valve Type | Reference |
|---|---|---|---|---|---|
| miR-92a | Anti-angiogenesis, favors endothelial proliferation | ↑ | Bicuspid | [ | |
| miR-26a | ↓ Calcification | ALKL, SMAD, RUNX2, BMP2 | ↓ | Bicuspid | [ |
| miR-141 | ↑ Calcification | BMP-2 | ↓ | Bicuspid | [ |
| miR-148a-3p | ↓ Inflammation in elongated lealflet | NF-κB | ↓ | Bicuspid | [ |
| miR-214 | ↓ Calcification | ↓ | [ | ||
| miR-143 | Osteogenesis | MGP | ↑ | Calcified valves | [ |
| miR-122-5p | Extracellular Matrix, favors calcifications | ↓ | Calcified v/s normal valves | [ | |
| miR-26b-3p | Inadapted answer from the endothelial cells on oxidative shear stress | Gluthation Peroxydase (GPX3) | ↑ | Bicuspid | [ |
| miR-122 | Action on valvular calcification and aortic dilation in patients with bicuspid Aortic Valve, using the TGF-β pathway | TGF-β1 | ↓ | Bicuspid | [ |
Fig. 2An outline to develop miRNAs as new biomarkers and innovative treatments in the field of valve calcification. Total RNA can be extracted from cell cultures, pre-clinical models. Up to a thousand miRNA expression can be titrated using either transcriptomics (eg. Microarray, next generation sequencing …) to detect the most deregulated miRNAs. These miRNAs can then be measured in patient cohorts to validate them as diagnostic or prognostic biomarkers. In long term up-of down-regulating their expression in selective tissues can be a new therapeutic approach.