Circulating MicroRNA Profiling in Non-ST Elevated Coronary Artery Syndrome Highlights Genomic Associations with Serial Platelet Reactivity Measurements.
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2020-04-10
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Changes in platelet physiology are associated with simultaneous changes in microRNA concentrations, suggesting a role for microRNA in platelet regulation. Here we investigated potential associations between microRNA and platelet reactivity (PR), a marker of platelet function, in two cohorts following a non-ST elevation acute coronary syndrome (NSTE-ACS) event. First, non-targeted microRNA concentrations and PR were compared in a case (N = 77) control (N = 76) cohort within the larger TRILOGY-ACS trial. MicroRNA significant in this analysis plus CVD-associated microRNAs from the literature were then quantified by targeted rt-PCR in the complete TRILOGY-ACS cohort (N = 878) and compared with matched PR samples. Finally, microRNA significant in the non-targeted & targeted analyses were verified in an independent post NSTE-ACS cohort (N = 96). From the non-targeted analysis, 14 microRNAs were associated with PR (Fold Change: 0.91-1.27, p-value: 0.004-0.05). From the targeted analysis, five microRNAs were associated with PR (Beta: -0.09-0.22, p-value: 0.004-0.05). Of the 19 significant microRNAs, three, miR-15b-5p, miR-93 and miR-126, were consistently associated with PR in the TRILOGY-ACS and independent Singapore post-ACS cohorts, suggesting the measurement of circulating microRNA concentrations may report on dynamic changes in platelet biology following a cardiovascular ischemic event.
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Becker, Kristian C, Lydia Coulter Kwee, Megan L Neely, Elizabeth Grass, Joseph A Jakubowski, Keith AA Fox, Harvey D White, Simon G Gregory, et al. (2020). Circulating MicroRNA Profiling in Non-ST Elevated Coronary Artery Syndrome Highlights Genomic Associations with Serial Platelet Reactivity Measurements. Scientific reports, 10(1). p. 6169. 10.1038/s41598-020-63263-6 Retrieved from https://hdl.handle.net/10161/20751.
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Megan Lee Neely
Survival Analysis; Longitudinal Analysis; Joint Modeling; Prediction Modeling and Metrics; Biomarkers; Applications in Pulmonology and Lung Transplant; Statistical Education
Simon Gray Gregory
Dr. Gregory is the Margaret Harris and David Silverman Distinguished Professor and Director of the Brain Tumor Omics Program in the Duke Department of Neurosurgery, the Vice Chair of Research in the Department of Neurology, and Director of the Molecular Genomics Core at the Duke Molecular Physiology Institute.
As a neurogenomicist, Dr. Gregory applies the experience gained from leading the sequencing of chromosome 1 for the Human Genome Project to elucidating the mechanisms underlying multi-factorial diseases using genetic, genomic, and epigenetic approaches. Dr. Gregory’s primary areas of research involve understanding the molecular processes associated with disease development and progression in brain tumors and Alzheimer’s disease, drug induced white matter injury repair in multiple sclerosis, and the characterization of lesion microenvironmental changes in MS.
He is broadly regarded across Duke as a leader in the development of novel single cell and spatial molecular technologies towards understanding the pathogenic mechanisms of disease development. Dr. Gregory is also the Section Chair of Genomics and Epigenetics at the DMPI and Director of the Duke Center of Autoimmunity and MS in the Department of Neurology.
Paul Alfred Gurbel
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