Environmental Exposures and the Development of Subclinical and Clinical Vascular and Myocardial Disease

环境暴露与亚临床和临床血管和心肌疾病的发展

基本信息

批准号：
10622466
负责人：
Kabayam M Venkat Narayan
金额：
$ 10.53万
依托单位：
EMORY UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-05-15 至 2027-02-28
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10622466
关键词：
Accounting Address Adult Air Air Pollution Area Arteries Asia Atherosclerosis Biological Biological Markers Blood Glucose Body Weight Calcium Cardiomyopathies Cardiovascular Diseases Carotid Artery Plaques Cessation of life Chronic Disease Cities Clinical Complex Cross-Sectional Studies Data Data Analyses Development Disease Echocardiography Environmental Exposure Environmental Risk Factor Equipment and supply inventories Event Functional disorder Funding Health Health Policy Heart failure Hybrids Hypertension Immune Incidence Income India Inflammation Investigation Knowledge Lead Left Ventricular Dysfunction Link Long-Term Effects Maps Measurement Measures Mediating Meteorology Methods Myocardial Infarction Myocardial Ischemia National Heart, Lung, and Blood Institute Natural History Nitrogen Oxides Ozone Participant Particulate Matter Pathogenesis Pathway interactions Persons Phenotype Pollution Population Population Heterogeneity Prevention Production Program Research Project Grants Proteins Resolution Risk Factors Risk Reduction Role Sampling Social Environment South Asian Stress Stroke Techniques Thick Time Uncertainty United States National Institutes of Health Vascular Diseases advanced analytics aged ambient air pollution arterial stiffness blood pressure elevation built environment cardiometabolic risk cardiovascular disorder prevention cardiovascular disorder risk cardiovascular effects carotid intima-media thickness cohort coronary artery calcium data management density disease phenotype fine particles follow-up global health high risk improved individualized prevention land use metropolitan mortality multiple omics population based predictive modeling prospective protein biomarkers recruit risk prediction social sociodemographics spatiotemporal statistical and machine learning stem

项目摘要

PROJECT SUMMARY / ABSTRACT: Project 2 Environmental factors (i.e., ambient air pollution) are ubiquitous and potential causative factors in cardiovascular disease (CVD). Our preliminary studies using data from the NIH-funded GeoHealth Hub and the NHLBI-funded Center for cArdiometabolic Risk Reduction in South Asia Cohort (CARRS), indicate a strong temporal association for short- and long-term effects of ambient particulate matter (PM2.5)) exposure and elevated blood pressure and glycemic measures. Motivated by these findings, in Project 2 of Precision- CARRS, we will investigate the longitudinal association between PM2.5 and CVD subclinical and clinical CVD phenotypes (provided by the CVD Phenotyping Core). For atherosclerotic (ASCVD) and heart failure (HF) pathways. Precision-CARRS, will follow 21,864 socio-demographically diverse South Asians aged ≥20 years, representative of Delhi and Chennai, two cities with high levels of, and substantial spatio-temporal variability in, ambient air pollution. The cohort will be followed for up to 15 years, accruing 176,536 person-years and >1000 incident ASCVD (MI, stroke, CVD death) events and nearly 940 HF Stage C/D cases. PM2.5 will be assessed through a hybrid predictive model combining statistical and machine learning techniques using data from satellites, land use maps, meteorology, and emissions inventories. Our aims are: To assess the relationship between PM2.5 and: (Aim 1) Functional subclinical vascular and myocardial disease (arterial stiffness, and left ventricular dysfunction measured as either systolic and/or diastolic dysfunction using echocardiography); (Aim 2) Structural subclinical disease (artery calcium; carotid intimal media thickness, carotid plaque); (Aim 3) Clinical CVD events (i) ASCVD: incident nonfatal myocardial infarction, stroke, and CVD Death, (ii) HF: Stage C/D cases). In Aim 4, we will explore whether the pathophysiologic pathway-specific proteins measured in Project 1 (i.e., inflammation, immune dysregulation, myocardial ischemia and stress) modify the associations between PM2.5 and clinical ASCVD and HF. We will also contribute data to Project 3 to further examine the causal link between PM2.5 and CVD phenotypes using untargeted multi-omics, and Project 4 to separate social from environment influences in the production of CVD risk. We will contribute to the understanding of the connection between one of the leading adverse environmental exposures (i.e., air pollution) and CVD, to improving precision of risk prediction by accounting for environmental factors to advance precision CVD prevention, and generate data to facilitate global health policy to address air pollution.

项目摘要/摘要：项目 2 环境因素（即环境空气污染）是普遍存在的潜在致病因素我们的初步研究使用了 NIH 资助的 GeoHealth Hub 和 NHLBI 资助的南亚队列心脏代谢风险降低中心 (CARRS) 表明，环境颗粒物 (PM2.5)）暴露的短期和长期影响的时间关联受这些发现的启发，在 Precision- 项目 2 中。 CARRS，我们将研究PM2.5与CVD亚临床和临床CVD之间的纵向关联表型（由 CVD 表型分析核心提供）用于动脉粥样硬化 (ASCVD) 和心力衰竭 (HF)。 Precision-CARRS，将跟踪 21,864 名年龄≥20 岁、社会人口结构多样化的南亚人，德里和钦奈的代表，这两个城市的时空变化程度较高，该队列将被跟踪长达 15 年，累计 176,536 人年，超过 1000 人。将评估 ASCVD（心肌梗死、中风、CVD 死亡）事件和近 940 例 HF C/D 阶段 PM2.5 病例。通过使用来自数据的统计和机器学习技术相结合的混合预测模型卫星、土地利用地图、气象学和排放清单我们的目标是：评估这种关系。 PM2.5 与：（目标 1）功能性亚临床血管和心肌疾病（动脉僵硬和左（目的 2）结构性亚临床疾病（动脉钙化；颈动脉内膜中层厚度、颈动脉斑块）（目标3）；临床 CVD 事件 (i) ASCVD：偶发非致命性心肌梗死、中风和 CVD 死亡，(ii) HF：分期在目标 4 中，我们将探讨是否在 C/D 病例中测量了病理生理途径特异性蛋白质。项目 1（即炎症、免疫失调、心肌缺血和应激）修改关联 PM2.5 与临床 ASCVD 和 HF 之间的关系我们还将向项目 3 提供数据以进一步研究使用非目标多组学研究 PM2.5 和 CVD 表型之间的因果关系，以及将社会分开的项目 4 我们将有助于了解来自环境的CVD风险的影响。主要不利环境暴露之一（即空气污染）与 CVD 之间的联系，以通过考虑环境因素来提高风险预测的精度，以推进精准CVD 预防，并生成数据以促进解决空气污染的全球卫生政策。