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Transcriptomics, pathobiology, and cardiac event in hypertrophic cardiomyopathy

肥厚型心肌病的转录组学、病理学和心脏事件

基本信息

批准号：
10638722
负责人：
Yuichi Shimada
金额：
$ 75.75万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-06-01 至 2028-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10638722
关键词：
Affect Age Animals Arrhythmia Biological Biological Markers Cardiac Cardiomyopathies Cardiovascular system Clinical Clinical Data Clinical Management Clinical Markers Data Development Devices Disease Disease Progression Enrollment Event Family Gene Mutation Genetic Goals Heart Heart Diseases Heart Hypertrophy Heart failure Heterogeneity Human Hypertrophic Cardiomyopathy Image In Situ Hybridization Intervention Interview Knowledge Left Left Ventricular Hypertrophy MAP Kinase Gene Matched Case-Control Study Mediating Medical Records Messenger RNA MicroRNAs Modeling Molecular Molecular Target Myocardial dysfunction Myocardium National Heart, Lung, and Blood Institute Pathogenesis Pathway interactions Patient Selection Patients Persons Pharmacotherapy Phenotype Plasma Preventive therapy Prospective Studies Prospective cohort Proteomics Quantitative Reverse Transcriptase PCR RNA Recording of previous events Reporting Research Research Personnel Risk Role Sampling Signal Pathway Specific qualifier value Strategic Planning Stroke System Testing Time Transcript Untranslated RNA Up-Regulation Validation Ventricular Work biobank circulating microRNA clinical heterogeneity clinical phenotype cohort disorder prevention drug development evidence base experience follow-up high risk hypertensive implantation improved inhibitor insight microRNA biomarkers molecular drug target novel novel strategies prevent preventive intervention prospective response retention rate risk stratification sex sudden cardiac death targeted treatment transcriptome sequencing transcriptomic profiling transcriptomics

项目摘要

PROJECT SUMMARY Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiac disease and causes major adverse cardiovascular events (MACE) – e.g., arrhythmias, heart failure, and sudden cardiac death. Invasive interventions to prevent MACE are available but can result in complications. Current risk stratification strategy has limited power to predict which patient would develop MACE and benefit most from preventive interventions. Furthermore, little is known about the signaling pathways through which gene mutations mediate HCM pathobiology and MACE. These major knowledge gaps have hindered efforts to prevent MACE in HCM. The Harvard-Columbia Multi-center Hypertrophic Cardiomyopathy (HCM2) Biorepository is an ongoing 3-center prospective cohort that enrolled 615 patients with HCM during 2014-2022. In this large multi-center HCM biorepository, investigators have collected high-quality biospecimens – i.e., 615 plasma and 120 left ventricular myocardium. Follow-up data include biannual interviews, medical record reviews, and in-person exam every year, with >85% follow- up to date (median follow-up, 3.1 years). The present R01 project will extend this large well- characterized HCM biorepository by transcriptomically profiling both myocardium and plasma samples in parallel, and by examining their relations to both HCM disease status and MACE. In Aim 1, we will examine the association of signaling pathway dysregulation in the myocardium with HCM disease status using qRT-PCR, single-transcript RNA-FISH, and RNA-Seq. In Aim 2, we will specify signaling pathways and plasma circulating microRNAs that predict new-onset MACE using transcriptomic profiling. Finally, using an unsupervised clustering-based approach, Aim 3 will define HCM subtypes by integrating genetic, transcriptomic, proteomic, and clinical data, and determine their associations with MACE. Our prior studies and preliminary work lend compelling support to our hypotheses. The present R01 project will provide a unique opportunity to reveal the molecular mechanisms of HCM pathobiology and progression to MACE through examining signaling pathways by applying transcriptomic profiling to paired myocardium and plasma. Moreover, the proposed study will also derive a novel risk stratification system in HCM, which will allow us to precisely identify high-risk HCM subtypes that would benefit from preventive interventions. The project will provide a strong evidence base for developing targeted pharmacotherapies to prevent HCM pathogenesis and MACE through the modulation of specific signaling pathways. The investigators have complementary and integrated expertise in all relevant fields. The study matches well with the NHLBI strategic plan for HCM research.

项目总结