Mentoring and Research to Classify Atrial Cardiomyopathy

心房心肌病分类的指导和研究

• 批准号: 10307378
• 负责人: Lin Yee Chen
• 金额: $ 12.66万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10307378
• 关键词: Address; Aging; Ancillary Study; Anticoagulants; Anticoagulation; Area; Atherosclerosis Risk in Communities; Atrial Fibrillation; Automobile Driving; Biochemical; Biological; Biometry; Cardiology; Cardiomyopathies; Cardiovascular system; Cessation of life; Classification; Classification Scheme; Clinical; Clinical Research; Clinical Trials; Cluster Analysis; Cohort Studies; Communities; Data; Data Analytics; Data Science; Dementia; Development; Doctor of Philosophy; Education; Electrocardiogram; Ensure; Epidemiologic Methods; Epidemiology; Fostering; Functional disorder; Funding; Future; Genomics; Grant; Heart Atrium; Heart failure; Heterogeneity; Ischemic Stroke; Knowledge; Learning; Left; Left Atrial Function; Machine Learning; Measures; Medicine; Mentors; Methods; Minnesota; Molecular Epidemiology; Monitor; Morbidity - disease rate; Multi-Ethnic Study of Atherosclerosis; Multiomic Data; Myocardial Infarction; National Heart, Lung, and Blood Institute; Oral; Outcome; Pathogenesis; Patient-Focused Outcomes; Patients; Pattern; Phenotype; Physicians; Precision Medicine Initiative; Prevalence; Prevention; Procedures; Proteomics; Public Health; Public Health Schools; Reproducibility; Research; Research Personnel; Research Project Grants; Research Support; Resources; Risk; Risk Factors; Role; Science; Scientist; Stroke prevention; Structure; TNFSF15 gene; Techniques; Testing; Time; Training; Training Programs; United States National Institutes of Health; Universities; Visit; Work; adjudicate; adverse outcome; aptamer; arterial stiffness; base; cardiovascular health; career development; clinical practice; clinically relevant; cohort; data integration; design; exome; genome wide association study; heart rate variability; heart rhythm; high risk population; improved; insight; mortality; next generation; patient oriented research; phenotypic data; prevent; primary outcome; programs; recruit; skills; statistical learning; stroke risk; supportive environment; tool; unsupervised learning

This K24 grant will provide the PI, Dr. Lin Yee Chen, a midcareer NIH-funded patient-oriented research (POR) investigator, with the protected time and support needed to (1) accelerate his current trajectory in mentoring junior clinicians and investigators who are conducting POR in cardiovascular (CV) science, (2) acquire additional training in mentoring methods, machine learning, and omics science, (3) promote his current research that aims to define the mechanisms underlying the relationship of the abnormal atrial substrate—atrial cardiomyopathy—and atrial fibrillation (AF) to ischemic stroke and other CV outcomes. Trainees in his AF Clinical Research Group will be recruited from the NIH-funded T32 training programs in the University of Minnesota's Division of Cardiology, Division of Epidemiology, and Division of Biostatistics; Department of Medicine Physician Scientist Training Program; KL2 and TL1 Programs of the CTSI; and graduate programs (MS in Clinical Research, MPH, and PhD) in the School of Public Health. For his career development, Dr. Chen will hone his mentoring skills and learn new skills in cutting-edge areas (machine learning and omics science) through focused study, selected coursework, seminars, and guidance from senior collaborators with domain expertise. Finally, this grant will support a research project that is based on the Atherosclerosis Risk in Communities (ARIC) Study, which extends Dr. Chen’s ongoing work to elucidate the role of atrial cardiomyopathy in driving AF-related outcomes. The specific aims are: (1) Identify atrial cardiomyopathy subtypes by using machine learning approaches to analyze the extensive data at ARIC Visit 5 (2011-13): clinical, 2D-echocardiographic, heart rate variability, arterial stiffness, ECG, and multi-omics data, (2) Evaluate association of subtypes with ischemic stroke and other CV outcomes, and (3) Discover specific risk factors for subtypes by analyzing risk factor measures collected at Visits 1-4 (1987-98). Crucially, findings will be validated in 2 independent community-based cohorts: Cardiovascular Health Study (CHS) and Multi-Ethnic Study of Atherosclerosis (MESA). This project has significant impact: (1) This K24 grant will provide the PI with the protected time to enhance his current mentoring of trainees involved in POR. By assembling a team of senior collaborators that comprise experts in mentoring, data science, and molecular epidemiology, the PI provides an outstanding platform for his mentees to acquire cutting-edge skills in POR, (2) By resolving heterogeneity in atrial cardiomyopathy, the team will advance the NIH’s Precision Medicine initiative by personalizing current treatment for patients based on biological underpinnings, (3) The findings will lead to a clinically meaningful improvement in classification of stroke risk in patients with AF, which will improve patient outcomes, (4) By efficiently leveraging existing resources of deeply phenotyped NHLBI cohorts, this project will fill critical knowledge gaps in prevention and treatment, thus achieving a sustained and powerful impact on CV public health, clinical practice, and education of the next generation of researchers in POR.

这项K24赠款将提供PI，Lin Yee Chen博士，这是一项由NIH资助的以患者为导向的研究（POR） 调查员，有受保护的时间和支持以（1）加速其目前的心理轨迹 在心血管科学（CV）科学（2）中进行POR的初级临床医生和研究人员 在心理方法，机器学习和OMICS科学方面的其他培训，（3）促进他的当前 旨在定义异常心房基质关系基础机制的研究 心肌病 - 缺血性中风和其他简历结果的房颤（AF）。受训者在他的AF中 临床研究小组将从NIH资助的T32培训计划中招募 明尼苏达州的流行病学科和生物统计学系心脏病学系；部门 医学医师科学家培训计划； CTSI的KL2和TL1程序；和研究生课程 （临床研究，MPH和博士学位的MS）公共卫生学院。为了他的职业发展，博士 陈将他的心理技能，学习最先进领域的新技能（机器学习和OMIC） 科学）通过专注的研究，精选的课程工作，半学院和高级合作者的指导 领域专业知识。最后，该赠款将支持一个基于动脉粥样硬化风险的研究项目 社区（ARIC）研究，该研究扩展了Chen博士正在进行的工作以阐明房屋的作用 心肌病以推动与AF相关的结果。具体目的是：（1）识别心房心理病 亚型通过使用机器学习方法来分析ARIC访问5（2011-13）的广泛数据： 临床，2D心电图学，心率变异性，动脉僵硬，ECG和多词数据，（2）评估 亚型与缺血性中风和其他简历结果的关联，（3）发现特定风险因素 通过分析访问1-4（1987-98）收集的危险因素度量的亚型。 cack依，发现将是 在2个独立社区的队列中验证：心血管健康研究（CHS）和多种族 动脉粥样硬化研究（MESA）。该项目具有重大影响：（1）该K24赠款将提供PI 有了受保护的时间来增强他目前对参与POR的学员的心理。通过组装一个团队 PI的高级合作者，填写心理，数据科学和分子流行病学专家 为他的月经提供了一个出色的平台，可以通过解决 心房心肌病的异质性，团队将推进NIH的精密医学计划 个性化患者的当前治疗基于生物学基础，（3）调查结果将导致 AF患者的临床意义改善中风风险分类，这将改善患者 成果，（4）通过有效利用深层表型NHLBI同伙的现有资源，该项目将 填补预防和治疗方面的关键知识差距，从而实现了对 POR的下一代研究人员的简历公共卫生，临床实践和教育。