title: Identifying circulating microRNAs as biomarkers of cardiovascular disease: a systematic review.
abstract: The aim of the present study is to identify microRNAs (miRs) with high potential to be used as biomarkers in plasma and/or serum to clinically diagnose, or provide accurate prognosis for survival in, patients with atherosclerosis, coronary artery disease, and acute coronary syndrome (ACS). A systematic search of published original research yielded a total of 72 studies. After review of the risk of bias of the published studies, according to Cochrane Collaboration and the QUADUAS Group standards, 19 studies were selected. Overall 52 different miRs were reported. In particular, miR-133a/b (5 studies), miR-208a/b (6 studies), and miR-499 (7 studies) were well studied and found to be significant diagnostic and/or prognostic markers across different cardiovascular disease progression stages. miR-1 and miR-145b are potential biomarkers of ACS; miR-1 with higher sensitivity for all acute myocardial infarction (AMI), and miR-145 for STEMI and worse outcome of AMI. But when miRs were studied across different ACS study populations, patients had varying degrees of coronary stenosis, which was identified as an important confounder that limited the ability to quantitatively pool the study results. The identified miRs were found to regulate endothelial function and angiogenesis (miR-1, miR-133), vascular smooth muscle cell differentiation (miR-133, miR-145), communication between vascular smooth muscle and endothelial cell to stabilize plaques (miR-145), apoptosis (miR-1, miR-133, miR-499), cardiac myocyte differentiation (miR-1, miR-133, miR-145, miR-208, miR-499), and to repress cardiac hypertrophy (miR-133). Their role in these processes may be explained by regulation of shared RNA targets such as cyclin-dependent kinase inhibitor 1A (or p21), ETS proto-oncogene 1, fascin actin-bundling protein 1, hyperpolarization-activated cyclic nucleotide-gated potassium channel 4, insulin-like growth factor 1 receptor LIM and SH3 protein 1, purine nucleoside phosphorylase, and transgelin 2. These mechanistic data further support the clinical relevance of the identified miRs. miR-1, miR-133a/b, miR-145, miR-208a/b, and miR-499(a) in plasma and/or serum show some potential for diagnosis of cardiovascular disease. However, biased selection of miRs in most studies and unexplained contrasting results are major limitations of current miR research. Inconsistencies need to be addressed in order to definitively identify clinically useful miRs. Therefore, this paper presents important aspects to improve future miR research, including unbiased selection of miRs, standardization/normalization of reference miRs, adjustment for patient comorbidities and medication, and robust protocols of data-sharing plans that could prevent selective publication and selective reporting of miR research outcomes.
authors.affiliation: Faculty of Medicine, Vilnius University, Vilnius, Lithuania Vilnius University Hospital Santariškių Klinikos, Vilnius, Lithuania.
authors.forename: Rokas
authors.initials: R
authors.lastname: Navickas
authors.affiliation: Department of Cardiovascular Sciences, Atherosclerosis and Metabolism Unit, KU Leuven, Leuven, Belgium.
authors.forename: Diane
authors.initials: D
authors.lastname: Gal
authors.affiliation: Faculty of Medicine, Vilnius University, Vilnius, Lithuania Vilnius University Hospital Santariškių Klinikos, Vilnius, Lithuania.
authors.forename: Aleksandras
authors.initials: A
authors.lastname: Laucevičius
authors.affiliation: Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
authors.forename: Agnė
authors.initials: A
authors.lastname: Taparauskaitė
authors.affiliation: Universitäts Klinikum Tübingen, Tübingen, Germany.
authors.forename: Monika
authors.initials: M
authors.lastname: Zdanytė
authors.affiliation: Department of Cardiovascular Sciences, Atherosclerosis and Metabolism Unit, KU Leuven, Leuven, Belgium paul.holvoet@med.kuleuven.be.
authors.forename: Paul
authors.initials: P
authors.lastname: Holvoet
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000032:analysis* / Q000097:blood; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000453:epidemiology / Q000235:genetics*; D018844:Cyclin-Dependent Kinases / Q000378:metabolism*; D020022:Genetic Predisposition to Disease; D006801:Humans; D035683:MicroRNAs / Q000097:blood*; D000090063:Proto-Oncogene Mas; D012306:Risk
chemical_list: D015415:Biomarkers; C000715470:MAS1 protein, human; D035683:MicroRNAs; D000090063:Proto-Oncogene Mas; D018844:Cyclin-Dependent Kinases
keywords: (Disease) Progression; Acute coronary syndrome; Biomarkers; Circulating microRNA; Coronary artery disease