CVD in American Indians Study and Data Management Center and OK Field Center

美洲印第安人的CVD研究和数据管理中心和OK现场中心

• 批准号: 9274844
• 负责人: Julie A Stoner
• 金额: $ 89.76万
• 依托单位: UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9274844
• 关键词: Abdomen; Accelerometer; Address; Adipose tissue; Adult; Affect; Age; Alcohols; Alleles; American Indians; Architecture; Atrial Fibrillation; Behavioral; Biological; Biological Markers; Blood Pressure; Caliber; Cardiac; Cardiovascular Diseases; Cardiovascular Physiology; Cardiovascular system; Clinical; Cohort Studies; Coupled; Data; Deposition; Diabetes Mellitus; Diet; Disease; Drug or chemical Tissue Distribution; Elderly; Environmental Exposure; Epidemic; Etiology; Event; Extended Family; Family; Family Study; Fatty acid glycerol esters; Foundations; Functional disorder; Gene Expression; Genes; Genetic; Genetic Determinism; Genetic Transcription; Genetic Variation; Genomics; Health; Heart; Heart failure; Hepatic; Individual; Inflammation; Insulin Resistance; Investigation; Kidney Diseases; Knowledge; Lead; Life Expectancy; Link; Liver; Magnetic Resonance Imaging; Measurement; Measures; Mental Health; Metabolic; Morbidity - disease rate; Myocardial Infarction; Nonesterified Fatty Acids; Obesity; Participant; Persons; Phenotype; Physical activity; Physiological; Placebo Effect; Plant Roots; Population; Prevention therapy; Process; RNA; Recurrence; Reproductive History; Resources; Risk Factors; Role; Socioeconomic Status; Solid; Statistical Data Interpretation; Stroke; Techniques; Technology; Tobacco use; Triglycerides; Variant; abdominal fat; aged; base; behavior measurement; cardiovascular disorder risk; clinical practice; cohort; data management; demographics; design; diabetes risk; diabetic; diabetic cardiomyopathy; experience; follow-up; genetic analysis; genetic variant; health disparity; heart rate variability; inflammatory marker; innovation; insight; interest; member; middle age; mortality; novel; obesity risk; phenotypic data; pre-clinical; prediction algorithm; public health relevance; surveillance data; tonometry; transcriptomics; trend

DESCRIPTION (provided by applicant): The Strong Heart Study (SHS) of two unique American Indian (AI) cohorts (4549 adults, aged 45 to 74 and 3838 ¿15 yrs. from 94 families) constitutes an unequalled and irreplaceable national resource. The proposed studies will elucidate the genetics and early pathophysiology of diabetic CVD and also address health disparities experienced by populations with high rates of diabetes and CVD. Very high rates of obesity and diabetes, especially among younger SHS participants, herald a pending epidemic of CVD, making them the ideal population in which to examine these processes. Measures of CVD, preclinical CVD, biomarkers, and genetic findings have provided valuable pathogenetic insights related to the etiology of CVD; the proposed investigations will take maximal advantage of this solid foundation and add innovative new measures. Our Aims: The identification of genetic variants affecting risk of obesity, diabetes, preclinical CVD, and CVD events, aided by new genomic technologies. We will use genomics techniques for SNP discovery and subsequent statistical analysis of functionality in regions known to contain genes of interest. Transcriptional profiling of RNA concurrent with a liver/abdominal MRI will be used to relate expression of genes and gene networks to CVD etiology. New biological measurements during a re-examination of the large family-based cohort will expand knowledge of pre-clinical stages of obesity and diabetes associated CVD. Novel phenotypes defined by MRI of the abdomen (for fat deposition in liver and adipose depots) will elucidate the etiology of preclinical disease in younger persons. Measures of central blood pressure (by applanation tonometry), heart rate variability and abdominal aortic size will broaden our understanding of CVD in association with obesity and diabetes. Measures of physiologic and behavioral risk factors, such as demographics, reproductive history, socioeconomic status, tobacco use, alcohol, diet, mental health indicators, and physical activity (by accelerometer) will add additional key phenotypes. Continuing mortality and morbidity surveillance of these cohorts will provide increased power in understanding how obesity and diabetes lead to strokes and heart failure in later life. Secular trends, life expectancy, the effects of renal disease on preclinical CVD, and the role of preclinical measures in predicting CVD endpoints will be explored. Thus, the proposed investigations will lead to new understanding of CVD and preclinical and diabetic CVD as well as improvements in clinical practice.

描述(由申请人提供)：两个独特的美国印第安人(AI)队列(4549名成年人，年龄45至74岁和3838？15岁)的强心研究(SHS)。(来自94个家庭)构成了无与伦比、不可替代的国家资源。拟议的研究将阐明糖尿病心血管疾病的遗传学和早期病理生理学，并解决糖尿病和心血管疾病高发人群所经历的健康差异。肥胖率和糖尿病患病率非常高，特别是在较年轻的SHS参与者中，预示着心血管疾病即将流行，使他们成为检查这些过程的理想人群。心血管疾病的测量、临床前心血管疾病、生物标志物和遗传学发现提供了与心血管疾病病因相关的有价值的病因学见解；拟议的研究将最大限度地利用这一坚实的基础，并增加创新的新措施。我们的目标：在新的基因组技术的帮助下，识别影响肥胖、糖尿病、临床前心血管疾病和心血管事件风险的基因变异。我们将使用基因组学技术发现SNP，并随后对已知包含感兴趣基因的区域的功能进行统计分析。与肝脏/腹部MRI同时进行的RNA转录图谱将用于将基因和基因网络的表达与CVD病因学联系起来。在对以家庭为基础的大型队列进行重新检查期间进行的新的生物学测量将扩大对肥胖和糖尿病相关心血管疾病临床前阶段的了解。腹部MRI定义的新表型(肝脏和脂肪储存库中的脂肪沉积)将阐明年轻人临床前疾病的病因。测量中心血压(通过压平眼压计)、心率变异性和腹主动脉大小将拓宽我们对与肥胖和糖尿病相关的心血管疾病的理解。对生理和行为风险因素的测量，如人口统计、生育史、社会经济状况、烟草使用、酒精、饮食、精神健康指标和体力活动(通过加速计)将增加额外的关键表型。对这些队列的持续死亡率和发病率监测将提供更多的力量，了解肥胖和糖尿病是如何在以后的生活中导致中风和心力衰竭的。将探讨长期趋势、预期寿命、肾脏疾病对临床前心血管疾病的影响，以及临床前措施在预测心血管疾病终点中的作用。因此，拟议的研究将导致对心血管疾病、临床前和糖尿病心血管疾病的新理解，以及临床实践的改进。