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：
10872424
负责人：
Martin Cadeiras
金额：
$ 9.25万
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/10872424
关键词：
Age 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 Community Hospitals Complex Coronary Arteriosclerosis Country Coupled Data Data Science Data Set Development Diabetes Mellitus Disease EFRAC Electronic Health Record Engineering Enrollment Environmental Science Event Funding Genomics Growth Health Technology Heart Heart failure Heterogeneity Hypertension Image Incidence Inflammation Inflammatory Latino Latino Population Learning Machine Learning Metabolic Metabolic syndrome Mining Molecular Molecular Analysis Morbidity - disease rate Obesity Organ Participant Patients Phase Phenotype Plug-in Population Population Heterogeneity Positron-Emission Tomography Progressive Disease Proteomics Pulmonary Hypertension Quality of life Records Research Research Institute Research Personnel Role Source Syndrome Testing Text Therapeutic United States United States National Institutes of Health Variant aging population biomedical referral center career development clinical center cohort college community clinic 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.

抽象的这是一个新的U01应用程序，用于建立前瞻性多民族HFPEF队列的临床中心（CC）从加利福尼亚中央山谷进行深度表型分析。调查团队是潜水员，多学科和完整的医学院调查员，工程学院和农业与环境科学学院。调查团队是高度协作的，并且以前参与大规模研究网络的强大记录，涉及电子数据异构资源，包括EHR，移动健康技术以及直接访问参与的邮件/网络门户。 UC Davis心力衰竭网络是该国最多样化的患者人群之一，来自加利福尼亚中央山谷的拉丁裔人口的大量代表。我们的网络有广泛的接管人区域，患者体积有重大增长。提出的深层表型将进行在加州大学戴维斯分校的新开发的全身PET扫描的优势以破译器官特异性的作用代谢综合征和多样性HFPEF种群中的代谢综合征和炎症的变化。一拟议的研究的独特特征是使用功能连接分析直接利用 HFPEF人群的异质性。确实，提供必要数据的是异质性需要得出互连以测试关键网络驱动程序需要的事件见解治疗的潜在分子靶标以及HFPEF亚型的无偏分类。最后，功能连接分析启用新数据集的模块化“插件”（例如，微生物组），从来自心脏展开中其他CC的深层表型分析。因此，我们提出的研究有望从技术和概念上贡献分子的整体理解 HFPEF中异源性疾病的基础机制。