European heart journal · 2014
Assessment of microRNAs in patients with unstable angina pectoris.
Оценочное исследованиеСтатьяНаблюдательное исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Zeller Tanja, Keller Till, Ojeda Francisco, Reichlin Tobias, Twerenbold Raphael, Tzikas Stergios, Wild Philipp S, Reiter Miriam, Czyz Ewa, Lackner Karl J, Munzel Thomas, Mueller Christian, Blankenberg Stefan
Аннотация
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.
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.