Literature DB >> 30336307

Next generation MicroRNA sequencing to identify coronary artery disease patients at risk of recurrent myocardial infarction.

Sri H Kanuri1, Joseph Ipe1, Kameel Kassab2, Hongyu Gao3, Yunlong Liu4, Todd C Skaar1, Rolf P Kreutz5.   

Abstract

BACKGROUND AND AIMS: Variation in micro-RNA (miRNA) levels in blood has been associated with alterations of physiological functions of the cardiovascular system. Circulating miRNA have the potential to become reliable biomarkers for risk stratification and early detection of cardiovascular events. Recurrent thrombotic events in patients with established coronary artery disease (CAD) demonstrate the need for personalized approaches to secondary prevention, especially in light of recent novel treatment approaches.
METHODS: In a single center cohort study, whole blood samples were collected from 437 subjects undergoing cardiac catheterization, who were followed for recurrent cardiovascular events during a mean follow up of 1.5 years. We selected a case cohort (n = 22) with recurrent thrombotic events on standard medical therapy (stent thrombosis (n = 6) or spontaneous myocardial infarction (MI) (n = 16)) and a matched cohort with CAD, but uneventful clinical follow up (n = 26), as well as a control group with cardiovascular risk factors, but without angiographic CAD (n = 24). We performed complete miRNA next generation sequencing of RNA extracted from whole blood samples (including leukocytes and platelets).
RESULTS: A differential pattern of miRNA expression was found among controls, CAD patients with no events, and CAD patients with recurrent events. MiRNA previously associated with MI, CAD, endothelial function, vascular smooth muscle cells, platelets, angiogenesis, heart failure, cardiac hypertrophy, arrhythmia, and stroke were found variably expressed in our case-control cohorts. Seventy miRNA (FDR <0.05) were linked to the risk of recurrent myocardial infarction and future stent thrombosis, as compared to CAD patients with subsequently uneventful follow up.
CONCLUSIONS: MiRNA next generation sequencing demonstrates altered fingerprint profile of whole blood miRNA expression among subjects with subsequent recurrent thrombotic events on standard medical therapy ('non-responders'), as compared to subjects with no recurrent cardiovascular events. MiRNA profiling may be useful to identify high risk subjects and provide additional insights into disease mechanisms not currently attenuated with standard medical therapy used in CAD treatment.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coronary artery disease; Myocardial infarction; Stent thrombosis; microRNA

Mesh:

Substances:

Year:  2018        PMID: 30336307      PMCID: PMC6350783          DOI: 10.1016/j.atherosclerosis.2018.09.021

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  39 in total

1.  Dysregulation of angiogenesis-related microRNAs in endothelial progenitor cells from patients with coronary artery disease.

Authors:  Qiuwang Zhang; Ivana Kandic; Michael J Kutryk
Journal:  Biochem Biophys Res Commun       Date:  2010-12-30       Impact factor: 3.575

2.  RDAVIDWebService: a versatile R interface to DAVID.

Authors:  Cristóbal Fresno; Elmer A Fernández
Journal:  Bioinformatics       Date:  2013-08-19       Impact factor: 6.937

Review 3.  Circulating microRNAs: biomarkers or mediators of cardiovascular diseases?

Authors:  Stephan Fichtlscherer; Andreas M Zeiher; Stefanie Dimmeler
Journal:  Arterioscler Thromb Vasc Biol       Date:  2011-11       Impact factor: 8.311

Review 4.  The role of microRNAs in coronary artery disease: From pathophysiology to diagnosis and treatment.

Authors:  Evangelos K Economou; Evangelos Oikonomou; Gerasimos Siasos; Nikolaos Papageorgiou; Sotiris Tsalamandris; Konsantinos Mourouzis; Spyridon Papaioanou; Dimitris Tousoulis
Journal:  Atherosclerosis       Date:  2015-06-18       Impact factor: 5.162

Review 5.  MicroRNAs add a new dimension to cardiovascular disease.

Authors:  Eric M Small; Robert J A Frost; Eric N Olson
Journal:  Circulation       Date:  2010-03-02       Impact factor: 29.690

Review 6.  MicroRNAs in cardiovascular disease: an introduction for clinicians.

Authors:  Simon P R Romaine; Maciej Tomaszewski; Gianluigi Condorelli; Nilesh J Samani
Journal:  Heart       Date:  2015-03-26       Impact factor: 5.994

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

8.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

9.  Diagnostic potential of plasmatic MicroRNA signatures in stable and unstable angina.

Authors:  Yuri D'Alessandra; Maria Cristina Carena; Liana Spazzafumo; Federico Martinelli; Beatrice Bassetti; Paolo Devanna; Mara Rubino; Giancarlo Marenzi; Gualtiero I Colombo; Felice Achilli; Stefano Maggiolini; Maurizio C Capogrossi; Giulio Pompilio
Journal:  PLoS One       Date:  2013-11-15       Impact factor: 3.240

10.  Altered serum microRNAs as novel diagnostic biomarkers for atypical coronary artery disease.

Authors:  Jun Wang; Yinghao Pei; Yong Zhong; Shisen Jiang; Jiaqing Shao; Jianbin Gong
Journal:  PLoS One       Date:  2014-09-08       Impact factor: 3.240

View more
  9 in total

1.  Role of Plasma Soluble Lectin-Like Oxidized Low-Density Lipoprotein Receptor-1 and microRNA-98 in Severity and Risk of Coronary Artery Disease.

Authors:  Md Sayed Ali Sheikh
Journal:  Balkan Med J       Date:  2021-01       Impact factor: 2.021

2.  Circular RNA circCHFR Facilitates the Proliferation and Migration of Vascular Smooth Muscle via miR-370/FOXO1/Cyclin D1 Pathway.

Authors:  Lei Yang; Fan Yang; Haikang Zhao; Maode Wang; Yuelin Zhang
Journal:  Mol Ther Nucleic Acids       Date:  2019-04-06

Review 3.  Epigenetic Biomarkers in Cardiovascular Diseases.

Authors:  Carolina Soler-Botija; Carolina Gálvez-Montón; Antoni Bayés-Genís
Journal:  Front Genet       Date:  2019-10-09       Impact factor: 4.599

Review 4.  The Contrasting Role of Extracellular Vesicles in Vascular Inflammation and Tissue Repair.

Authors:  Silvia Oggero; Shani Austin-Williams; Lucy Victoria Norling
Journal:  Front Pharmacol       Date:  2019-12-17       Impact factor: 5.810

5.  In silico Prediction of miRNA Interactions With Candidate Atherosclerosis Gene mRNAs.

Authors:  Dina Mukushkina; Dana Aisina; Anna Pyrkova; Alma Ryskulova; Siegfried Labeit; Anatoliy Ivashchenko
Journal:  Front Genet       Date:  2020-11-04       Impact factor: 4.599

Review 6.  Risk Prediction of Cardiovascular Events by Exploration of Molecular Data with Explainable Artificial Intelligence.

Authors:  Annie M Westerlund; Johann S Hawe; Matthias Heinig; Heribert Schunkert
Journal:  Int J Mol Sci       Date:  2021-09-24       Impact factor: 5.923

7.  MicroRNA sequencing in patients with coronary artery disease - considerations for use as biomarker for thrombotic risk.

Authors:  Chimnonso P Onuoha; Joseph Ipe; Edward Simpson; Yunlong Liu; Todd C Skaar; Rolf P Kreutz
Journal:  Clin Transl Sci       Date:  2022-05-29       Impact factor: 4.438

8.  Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure.

Authors:  Dumitru Andrei Iacobas; Lei Xi
Journal:  J Pers Med       Date:  2022-07-29

9.  Circulating microRNAs as biomarkers for severe coronary artery disease.

Authors:  Xuelin Zhang; Haipeng Cai; Minqi Zhu; Yinfen Qian; Shanan Lin; Xiaoqiang Li
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.