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

美洲印第安人CVD研究与数据管理中心和OK现场中心

• 批准号: 8846648
• 负责人: ELISA TAN LEE
• 金额: $ 88.41万
• 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 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8846648
• 关键词: Abdomen; Address; Adipose tissue; Adult; Affect; Age; Alcohols; Algorithms; Alleles; American Indians; Architecture; Atrial Fibrillation; Behavioral; Biological; Blood Pressure; Caliber; Cardiac; Cardiovascular Diseases; Cardiovascular Physiology; 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 Markers; Genetic Predisposition to Disease; 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; Staging; Stroke; Techniques; Technology; Tobacco use; Triglycerides; Variant; abdominal fat; aged; base; behavior measurement; cardiovascular disorder risk; clinical practice; cohort; data management; demographics; design; diabetic; diabetic cardiomyopathy; experience; follow-up; genetic analysis; genetic variant; health disparity; heart rate variability; inflammatory marker; information gathering; innovation; insight; interest; member; middle age; mortality; novel; obesity risk; pre-clinical; 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）：两个独特的美洲印第安人（AI）队列（4549名成年人，年龄45至74岁，来自94个家庭的3838至15岁）的强心研究（SHS）构成了无与伦比和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的健康差异。非常高的肥胖和糖尿病发病率，特别是在年轻的SHS参与者中，预示着CVD的流行，使他们成为检查这些过程的理想人群。CVD，临床前CVD，生物标志物和遗传发现的措施提供了有价值的发病机制的见解相关的CVD的病因;拟议的调查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：在新基因组技术的帮助下，识别影响肥胖、糖尿病、临床前CVD和CVD事件风险的遗传变异。我们将使用基因组学技术进行SNP发现，并随后对已知含有感兴趣基因的区域进行功能性统计分析。将使用RNA的转录谱分析与肝脏/腹部MRI同时进行，以将基因和基因网络的表达与CVD病因联系起来。在重新检查大型家庭队列期间的新生物学测量将扩展肥胖和糖尿病相关CVD的临床前阶段的知识。通过腹部MRI（肝脏和脂肪库中的脂肪沉积）定义的新表型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肥胖和糖尿病相关CVD的理解。生理和行为风险因素的测量，如人口统计学，生殖史，社会经济地位，烟草使用，酒精，饮食，心理健康指标和身体活动（通过加速度计）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为了解肥胖和糖尿病如何导致晚年中风和心力衰竭提供更大的力量。将探讨长期趋势、预期寿命、肾脏疾病对临床前CVD的影响以及临床前指标在预测CVD终点中的作用。因此，拟议的调查将导致新的理解心血管疾病和临床前和糖尿病心血管疾病以及改善临床实践。