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A prospective multiethnic HFpEF cohort from California's Central Valley

来自加州中央山谷的前瞻性多种族 HFpEF 队列

基本信息

批准号：
10327488
负责人：
Martin Cadeiras
金额：
$ 27.79万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-10 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10327488
关键词：
Aging Agriculture Area Atrial Fibrillation Blood flow California Cardiovascular Diseases Cardiovascular system Catchment Area Center for Translational Science Activities Chronic Kidney Failure Classification Clinic Clinical Clinical Research Clinical Sciences Clinics and Hospitals Community Hospitals Complex Coronary Arteriosclerosis Country Coupled Data Data Science Data Set Development Diabetes Mellitus Disease EFRAC Ecology Electronic Health Record Engineering Enrollment Event Foundations Funding Genomics Growth Health Technology Heart Heart failure Heterogeneity Hispanics Hypertension Image Incidence Inflammation Inflammatory Latino Learning Machine Learning Metabolic Metabolic syndrome Mining Molecular Molecular Analysis Morbidity - disease rate Obesity Organ Participant Patients Phase Phenotype Population Population Heterogeneity Positron-Emission Tomography Progressive Disease Proteomics Pulmonary Hypertension Quality of life Records Research Research Institute Research Personnel Role Source Structure Syndrome Testing Text Therapeutic United States United States National Institutes of Health Variant aging population base biomedical referral center career development clinical center cohort college comorbidity connectome electronic data functional status indexing innovation insight mHealth medical schools metabolomics microbiome minority communities molecular targeted therapies mortality multi-ethnic multidisciplinary multiple omics next generation novel participant enrollment patient engagement patient population phenomics phrases preservation programs prospective protocol development recruit remote monitoring sex skill acquisition text searching web portal

项目摘要

ABSTRACT This is a new U01 application to establish a Clinical Center (CC) for a prospective multiethnic HFpEF cohort from California central valley for deep phenotyping analyses. The investigative team is diverse, multidisciplinary, and complementary with investigators from School of Medicine, College of Engineering and College of Agricultural and Environmental Sciences. The investigative team is highly collaborative and has strong track records of previous participation in large-scale research networks involving electronic data from heterogeneous sources, including EHRs, mobile health technologies, and direct-to-participant mailings/web portals. UC Davis Heart Failure Network has one of the most diverse patient population in the country, with a large representation of Latino population from California Central Valley. Our network has an extensive catchman area with a momentous growth in patient volume. The proposed deep phenotyping will take advantage of the newly developed total-body PET scan at UC Davis to decipher the roles of organ-specific variations in metabolic syndrome and inflammation in a diverse and heterogenous HFpEF population. One unique feature of the proposed study is the use of functional connectomics analyses to directly exploit the heterogeneity in the HFpEF population. Indeed, it is the heterogeneity that provides the necessary data needed to derive the interconnections to test the critical network drivers, that will provide eventual insights into potential molecular targets for therapy as well as the unbiased classifications of subtypes of HFpEF. Finally, functional connectomics analyses enable modular “plugin” of new datasets (e.g., microbiomes), derived from deep phenotyping analyses from other CCs in the HeartShare Network. Therefore, our proposed study promises to contribute both technically and conceptually to the overall understanding of the molecular mechanisms underlying the heterogenous disease in HFpEF.

抽象的这是一项新的 U01 申请，旨在为前瞻性多种族 HFpEF 队列建立临床中心 (CC) 来自加州中央山谷，用于深度表型分析。调查团队多元化，多学科，与医学院、工程学院和医学院的研究人员互补农业与环境科学学院。调查团队高度协作，以前参与涉及电子数据的大型研究网络的良好记录异构来源，包括电子病历、移动医疗技术和直接面向参与者的邮件/网络门户网站。加州大学戴维斯分校心力衰竭网络拥有全美最多样化的患者群体之一，来自加州中央山谷的拉丁裔人口占很大比例。我们的网络拥有广泛接球手区域，患者数量显着增长。拟议的深度表型分析将需要利用加州大学戴维斯分校新开发的全身 PET 扫描来破译器官特异性的作用不同且异质的 HFpEF 人群中代谢综合征和炎症的差异。一该研究的独特之处在于使用功能连接组学分析来直接利用 HFpEF 人群的异质性。事实上，正是异质性提供了必要的数据需要导出互连来测试关键网络驱动程序，这将提供最终的见解治疗的潜在分子靶点以及 HFpEF 亚型的公正分类。最后，功能连接组学分析可实现新数据集（例如微生物组）的模块化“插件”，这些数据集源自来自 HeartShare 网络中其他 CC 的深度表型分析。因此，我们提出的研究承诺在技术和概念上为分子的整体理解做出贡献 HFpEF 异质性疾病的潜在机制。