The distribution of circulating microRNA and their relation to coronary disease

Background: MicroRNAs (miRNAs) are small RNAs that regulate gene expression by suppressing protein translation and may influence RNA expression. MicroRNAs are detected in extracellular locations such as plasma; however, the extent of miRNA expression in plasma its relation to cardiovascular disease is not clear and many clinical studies have utilized array-based platforms with poor reproducibility. Methods and Results: Initially, to define distribution of miRNA in human blood; whole blood, platelets, mononuclear cells, plasma, and serum from 5 normal individuals were screened for 852 miRNAs using high-throughput micro-fluidic quantitative RT-PCR (qRT-PCR). In total; 609, 448, 658, 147, and 178 miRNAs were found to be expressed in moderate to high levels in whole blood, platelets, mononuclear cells, plasma, and serum, respectively, with some miRNAs uniquely expressed. To determine the cardiovascular relevance of blood miRNA expression, plasma miRNA (n=852) levels were measured in 83 patients presenting for cardiac catheterization. Eight plasma miRNAs were found to have over 2-fold increased expression in patients with significant coronary disease (≥70% stenosis) as compared to those with minimal coronary disease (less than 70% stenosis) or normal coronary arteries. Expression of miR-494, miR-490-3p, and miR-769-3p were found to have significantly different levels of expression. Using a multivariable regression model including cardiovascular risk factors and medications, hsa-miR-769-3p was found to be significantly correlated with the presence of significant coronary atherosclerosis. Conclusions: This study utilized a superior high-throughput qRT-PCR based method and found that miRNAs are found to be widely expressed in human blood with differences expressed between cellular and extracellular fractions. Importantly, specific miRNAs from circulating plasma are associated with the presence of significant coronary disease.

[1]  K. Vickers,et al.  MicroRNAs are Transported in Plasma and Delivered to Recipient Cells by High-Density Lipoproteins , 2011, Nature Cell Biology.

[2]  T. V. van Berkel,et al.  The peripheral blood mononuclear cell microRNA signature of coronary artery disease. , 2010, Biochemical and biophysical research communications.

[3]  Yue Li,et al.  Circulating microRNA: a novel potential biomarker for early diagnosis of acute myocardial infarction in humans. , 2010, European heart journal.

[4]  Dajiang J. Liu,et al.  VAMP8/endobrevin is overexpressed in hyperreactive human platelets: suggested role for platelet microRNA , 2010, Journal of thrombosis and haemostasis : JTH.

[5]  D. Glavač,et al.  MicroRNA Microarray Expression Profiling in Human Myocardial Infarction , 2010, Disease markers.

[6]  G. Rousseau,et al.  Existence of a microRNA pathway in anucleate platelets , 2009, Nature Structural &Molecular Biology.

[7]  Chunxiang Zhang,et al.  MicroRNA Expression Signature and the Role of MicroRNA-21 in the Early Phase of Acute Myocardial Infarction* , 2009, The Journal of Biological Chemistry.

[8]  Gozoh Tsujimoto,et al.  Intra-Platform Repeatability and Inter-Platform Comparability of MicroRNA Microarray Technology , 2009, PloS one.

[9]  R. Gregory,et al.  Many roads to maturity: microRNA biogenesis pathways and their regulation , 2009, Nature Cell Biology.

[10]  Y. Suárez,et al.  MicroRNAs as novel regulators of angiogenesis. , 2009, Circulation research.

[11]  Monika Belickova,et al.  Differential expression of microRNAs in hematopoietic cell lineages , 2008, European journal of haematology.

[12]  M. Latronico,et al.  MicroRNA and cardiac pathologies. , 2008, Physiological genomics.

[13]  Daniel B. Martin,et al.  Circulating microRNAs as stable blood-based markers for cancer detection , 2008, Proceedings of the National Academy of Sciences.

[14]  Ramesh Ramakrishnan,et al.  High Throughput Gene Expression Measurement with Real Time PCR in a Microfluidic Dynamic Array , 2008, PloS one.

[15]  W. Filipowicz,et al.  Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? , 2008, Nature Reviews Genetics.

[16]  Heping Zhang,et al.  A forest-based approach to identifying gene and gene–gene interactions , 2007, Proceedings of the National Academy of Sciences.

[17]  Jialing Huang,et al.  Derepression of MicroRNA-mediated Protein Translation Inhibition by Apolipoprotein B mRNA-editing Enzyme Catalytic Polypeptide-like 3G (APOBEC3G) and Its Family Members* , 2007, Journal of Biological Chemistry.

[18]  Stijn van Dongen,et al.  miRBase: tools for microRNA genomics , 2007, Nucleic Acids Res..

[19]  C. Croce,et al.  MicroRNA-133 controls cardiac hypertrophy , 2007, Nature Medicine.

[20]  V. Ambros,et al.  The regulation of genes and genomes by small RNAs , 2007, Development.

[21]  W. Filipowicz,et al.  Repression of protein synthesis by miRNAs: how many mechanisms? , 2007, Trends in cell biology.

[22]  J Philip McCoy,et al.  Hematopoietic-specific microRNA expression in human cells. , 2006, Leukemia research.

[23]  K. Swoboda,et al.  Escaping the Nuclear Confines: Signal-Dependent Pre-mRNA Splicing in Anucleate Platelets , 2005, Cell.

[24]  Sanghyuk Lee,et al.  MicroRNA genes are transcribed by RNA polymerase II , 2004, The EMBO journal.

[25]  T. Tuschl,et al.  Human Argonaute2 mediates RNA cleavage targeted by miRNAs and siRNAs. , 2004, Molecular cell.

[26]  D. Bartel MicroRNAs Genomics, Biogenesis, Mechanism, and Function , 2004, Cell.

[27]  J. Hartwig,et al.  Mechanisms and implications of platelet discoid shape. , 2003, Blood.

[28]  V. Ambros,et al.  MicroRNAs and Other Tiny Endogenous RNAs in C. elegans , 2003, Current Biology.

[29]  Heping Zhang,et al.  Cell and tumor classification using gene expression data: Construction of forests , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[30]  M. A. Rector,et al.  References and Notes Materials and Methods Som Text Fig. S1 Table S1 References a Microrna in a Multiple- Turnover Rnai Enzyme Complex , 2022 .

[31]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[32]  J. Loscalzo,et al.  Impaired platelet production of nitric oxide predicts presence of acute coronary syndromes. , 1998, Circulation.

[33]  W. Vainchenker,et al.  Biosynthesis of major platelet proteins in human blood platelets. , 1987, European journal of biochemistry.

[34]  J. Pu,et al.  Circulating microRNAs are promising novel biomarkers of acute myocardial infarction. , 2011, Internal medicine.

[35]  Kang Li,et al.  Circulating microRNA-1 as a potential novel biomarker for acute myocardial infarction. , 2010, Biochemical and biophysical research communications.

[36]  T. Rana,et al.  Illuminating the silence: understanding the structure and function of small RNAs , 2007, Nature Reviews Molecular Cell Biology.

[37]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .