| Literature DB >> 33124028 |
Alix Garcia1, Sylvie Dunoyer-Geindre1, Richard J Fish2, Marguerite Neerman-Arbez2,3, Jean-Luc Reny1,4, Pierre Fontana1,5.
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs modulating protein production. They are key players in regulation of cell function and are considered as biomarkers in several diseases. The identification of the proteins they regulate, and their impact on cell physiology, may delineate their role as diagnostic or prognostic markers and identify new therapeutic strategies. During the last 3 decades, development of a large panel of techniques has given rise to multiple models dedicated to the study of miRNAs. Since plasma samples are easily accessible, circulating miRNAs can be studied in clinical trials. To quantify miRNAs in numerous plasma samples, the choice of extraction and purification techniques, as well as normalization procedures, are important for comparisons of miRNA levels in populations and over time. Recent advances in bioinformatics provide tools to identify putative miRNAs targets that can then be validated with dedicated assays. In vitro and in vivo approaches aim to functionally validate candidate miRNAs from correlations and to understand their impact on cellular processes. This review describes the advantages and pitfalls of the available techniques for translational research to study miRNAs with a focus on their role in regulating platelet reactivity. Thieme. All rights reserved.Entities:
Year: 2020 PMID: 33124028 PMCID: PMC8263142 DOI: 10.1055/s-0040-1718730
Source DB: PubMed Journal: Thromb Haemost ISSN: 0340-6245 Impact factor: 5.249
Selected association studies involving miRNAs in healthy volunteers and cardiovascular patients
| References | Year | Samples | Setting | Treatment | miRNA quantification | Outcome | miRNA correlated with outcome | miRNA not correlated with outcome |
|---|---|---|---|---|---|---|---|---|
|
Kondkar et al
| 2010 | Plasma | Healthy volunteers | N/A | Microarray | LTA with epinephrine 1.5 µM | miR-96 | |
|
Zampetaki et al
| 2012 | Plasma | Population-based survey | No treatment, DAPT, or aspirin | qPCR | Myocardial infarction | miR-126 | |
|
Willeit et al
| 2013 | Platelet, MV, PRP, PPP, serum | Healthy volunteers, patients with diabetes or with symptomatic carotid atherosclerosis | None or various antiplatelet drugs regimen | qPCR | Modified LTA in a 96-well plate using various agonists and concentrations, serum TXB 2 assay, and VerifyNow assay | miR-223 | |
|
Shi et al
| 2013 | Platelet | Acute coronary syndrome | Clopidogrel plus aspirin | qPCR | LTA with ADP 10 μM, VASP | miR-223 | miR-96 |
|
Zufferey et al
| 2016 | Platelet | Stable cardiovascular patients | Aspirin | Microarray | LTA with epinephrine 0.4–10 μM, AA 1mM, ADP 2 and 10 μM, and collagen 1 μg/mL | miR-135 | |
|
Kaudewitz et al
| 2016 | Plasma | Acute coronary syndrome | DAPT or aspirin | qPCR | LTA with ADP 20 μM, VerifyNow | miR-126 | |
|
Witkowski et al
| 2016 | Plasma | Diabetes mellitus | N/A | qPCR | TF-mediated thrombogenicity | miR-126 | |
|
Peng et al
| 2017 | Platelet | Acute coronary syndrome | Clopidogrel plus aspirin | qPCR | LTA with ADP 20 μM | miR-223 | |
|
Ding et al
| 2019 | Platelet | Acute coronary syndrome | Clopidogrel plus aspirin | qPCR | LTA with AA 500 µg/mL and ADP 5 µM | miR-204 | |
|
Tang et al
| 2019 | Plasma | Stable coronary artery disease | Clopidogrel plus aspirin | High-throughput Illumina sequencing followed by validation with qPCR | Clinical outcomes | miR-142 | |
|
Liu et al
| 2020 | Platelet | Acute coronary syndrome | Clopidogrel plus aspirin | qPCR | Thromboelastography | miR-126 | miR-21 |
Abbreviations: AA, arachidonic acid; ADP, adenosine diphosphate; DAPT, dual antiplatelet therapy; LTA, light transmission aggregometry; miRNA, microRNA; MV, microvesicles; PPP, platelet-poor plasma; PRP, platelet-rich plasma; qPCR, quantitative polymerase chain reaction; TF, tissue factor; TXB 2 , thromboxane B 2 ; VASP, vasodilator-stimulated phosphoprotein phosphorylation assay.
Fig. 1Suggested general workflow guidelines for the identification and functional validation of miRNA involved in platelet reactivity.