Tanja Zeller1, Till Keller2, Francisco Ojeda3, Tobias Reichlin4, Raphael Twerenbold4, Stergios Tzikas5, Philipp S Wild6, Miriam Reiter4, Ewa Czyz5, Karl J Lackner7, Thomas Munzel8, Christian Mueller4, Stefan Blankenberg9. 1. Department of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany. 2. Department of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany German Center for Cardiovascular Research (DZHK), Partner Site Rhein-Main, Mainz, Germany. 3. Department of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany. 4. Department of Internal Medicine, University Hospital, Basel, Switzerland Department of Cardiology, University Hospital, Basel, Switzerland. 5. Department of Medicine II, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany. 6. German Center for Cardiovascular Research (DZHK), Partner Site Rhein-Main, Mainz, Germany Department of Medicine II, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany Clinical Epidemiology, Center for Thrombosis and Haemostasis, University Medical Center Mainz, Langenbeckstraße 1, 55131 Mainz, Germany. 7. German Center for Cardiovascular Research (DZHK), Partner Site Rhein-Main, Mainz, Germany Department of Laboratory Medicine, University Medical Center, Johannes Gutenberg University Mainz, Germany. 8. German Center for Cardiovascular Research (DZHK), Partner Site Rhein-Main, Mainz, Germany Department of Medicine II, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany. 9. Department of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany s.blankenberg@uke.de.
Abstract
AIMS: While cardiac troponin measurements have significantly improved the early diagnosis of myocardial infarction, the timely biomarker-based diagnosis of unstable angina pectoris (UAP) remains a major unmet clinical challenge. The aim of this study was to assess levels of circulating microRNAs (miRNAs) as possible novel biomarkers in patients with UAP. METHODS AND RESULTS: A three-phase approach was conducted, comprising (i) profiling of miRNAs in patients with UAP and controls groups; (ii) replication of significant miRNAs in an independent patient cohort, (iii) validation of a multi-miRNAs panel in a third cohort. Out of 25 miRNAs selected for replication, 8 miRNAs remained significantly associated with UAP. In a validation phase, a miRNA panel including miR-132, miR-150, and miR-186 showed the highest discriminatory power [area under the receiver-operating-characteristic curve (AUC): 0.91; CI: 0.84-0.98]. CONCLUSION: Using a profiling-replication-validation model, we identified eight miRNAs, which may facilitate the diagnosis of UAP. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: While cardiac troponin measurements have significantly improved the early diagnosis of myocardial infarction, the timely biomarker-based diagnosis of unstable angina pectoris (UAP) remains a major unmet clinical challenge. The aim of this study was to assess levels of circulating microRNAs (miRNAs) as possible novel biomarkers in patients with UAP. METHODS AND RESULTS: A three-phase approach was conducted, comprising (i) profiling of miRNAs in patients with UAP and controls groups; (ii) replication of significant miRNAs in an independent patient cohort, (iii) validation of a multi-miRNAs panel in a third cohort. Out of 25 miRNAs selected for replication, 8 miRNAs remained significantly associated with UAP. In a validation phase, a miRNA panel including miR-132, miR-150, and miR-186 showed the highest discriminatory power [area under the receiver-operating-characteristic curve (AUC): 0.91; CI: 0.84-0.98]. CONCLUSION: Using a profiling-replication-validation model, we identified eight miRNAs, which may facilitate the diagnosis of UAP. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Kemal M Akat; Youngmin A Lee; Arlene Hurley; Pavel Morozov; Klaas Ea Max; Miguel Brown; Kimberly Bogardus; Anuoluwapo Sopeyin; Kai Hildner; Thomas G Diacovo; Markus F Neurath; Martin Borggrefe; Thomas Tuschl Journal: JCI Insight Date: 2019-04-11
Authors: Wolfgang Poller; Stefanie Dimmeler; Stephane Heymans; Tanja Zeller; Jan Haas; Mahir Karakas; David-Manuel Leistner; Philipp Jakob; Shinichi Nakagawa; Stefan Blankenberg; Stefan Engelhardt; Thomas Thum; Christian Weber; Benjamin Meder; Roger Hajjar; Ulf Landmesser Journal: Eur Heart J Date: 2018-08-01 Impact factor: 29.983