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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：
10483157
负责人：
Martin Cadeiras
金额：
$ 28.23万
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/10483157
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 Electronic Health Record Engineering Enrollment Environmental Science Event Foundations 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 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 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.

摘要