课题基金 / 基金详情

Inflammatory Markers and Cardiovascular Patient Outcomes

Inflammatory Markers and Cardiovascular Patient Outcomes
炎症标志物和心血管患者的结果
批准号:
6879650
负责人:
LORRAINE Q. FRAZIER
金额:
$11.51万
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-04-01 至 2007-03-31

项目摘要

项目成果

LORRAINE Q. FRAZIER的其他基金

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中文摘要
翻译
应聘者描述(由申请者提供):应聘者是德克萨斯大学休斯顿健康科学中心(UT-Houston)护理学院的副教授,目前是进行心血管研究的跨学科研究团队的成员。作为遗传学和高血压的博士后研究员,她开始参加由NIH资助的临床研究课程,她将在拟议的K奖期间完成该课程。长期目标是开发一种模型,允许在被诊断为心血管疾病的患者中继续探索遗传、生化和环境风险因素。教育的具体目标是增加关于心血管疾病的知识,这将激发对生化标记物和相关基因的新的研究假设,并增加设计和分析大型临床队列研究的知识,这将提高未来拨款的质量。德克萨斯大学休斯顿分校提供的环境支持包括通过人类遗传学中心提供的实验室支持;通过休斯顿大学医学院临床研究课程提供的教育支持;以及通过德克萨斯世代资源接触患者、提取和长期跟踪。该奖项将支持一项初步研究,以探索炎症标志物和相关候选基因变异的预后价值,以预测心血管疾病患者的不良结果。这项研究的具体目的是确定:1)预测急性冠脉综合征(ACS)的时间和严重程度、后续再灌注干预(支架置入、血管成形术或心脏搭桥手术)、死亡、中风和心肌梗死(MI)的新生物标志物的预后价值,并测试与人口统计学/生活方式和传统临床预测因素的交互作用;2)编码目标1中确定的新生物标记物的基因的DNA序列变异,通过评估序列变异和生物标记物的相互作用来预测后续再灌注干预、死亡、中风和心肌梗死的急性冠脉综合征预后的时间和严重程度,并测试与人口统计学/生活方式和传统临床预测因素的交互作用。拟议的K奖励将允许提供所需的受保护时间,以发展临床研究的设计、执行和分析方面的知识和技能;开发心血管生物标志物的临床知识;以及在德克萨斯医学中心进行拟议的试点研究。试点数据将作为RO1应用的初步数据。
英文摘要
DESCRIPTION (provided by applicant): The candidate, an Associate Professor at the University of Texas Health Science Center at Houston (UT-Houston) School of Nursing, is currently a member of an interdisciplinary research team that conducts cardiovascular research. As a postdoctoral fellow in genetics and hypertension, she began participating in an NIH-funded Clinical Research Curriculum that she will complete during the proposed K Award. The long-term goal is to develop a model that will allow continued exploration of genetic, biochemical, and environmental risk factors in patients diagnosed with cardiovascular disease. Educational specific aims are to increase knowledge about cardiovascular disease that will stimulate new research hypotheses of the biochemical markers and related genes, and to increase knowledge in the design and analysis of large clinical cohort studies that will augment the quality of future grants. Environmental support available at UT-Houston includes laboratory support through the Human Genetics Center; educational support through the UT-Houston Medical School Clinical Research Curriculum; and access to patients, abstracting, and long-term follow-up through the TexGen Resource. The Award will support a pilot study to explore the prognostic value of inflammatory markers and related candidate gene variation to predict adverse outcomes in patients with cardiovascular disease. Specific aims of the research are to identify the prognostic value of: 1) novel biomarkers to predict the timing and severity of acute coronary syndrome (ACS), outcomes of: subsequent reperfusion interventions (stent placement, angioplasty, or cardiac bypass surgery), death, stroke, and myocardial infarction (MI), and to test for interactions with demographic/lifestyle and traditional clinical predictors; and 2) DNA sequence variation in the genes encoding the novel biomarkers identified in Aim 1, by assessing the interaction of the sequence variations and biomarkers to predict the timing and severity of the ACS outcomes of: subsequent reperfusion interventions, death, stroke, and MI, and to test for interaction with demographic/lifestyle and traditional clinical predictors. The proposed K award will allow the protected time needed to develop knowledge and skills in design, performance, and analysis of clinical research; to develop clinical knowledge of cardiovascular biomarkers; and to conduct the proposed pilot research in the Texas Medical Center. The pilot data will serve as preliminary data for an RO1 application.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1177/1099800409332801
发表时间: 2009-10
期刊: Biological research for nursing
影响因子: 2.5
作者: [Frazier L, Vaughn WK, Willerson JT, Ballantyne CM, Boerwinkle E]
通讯作者: Boerwinkle E
Interactions among Depressive Symptoms and Genetic Influences on Cardiac Outcomes
Interactions among Depressive Symptoms and Genetic Influences on Cardiac Outcomes
Interactions among Depressive Symptoms and Genetic Influences on Cardiac Outcomes
Interactions among Depressive Symptoms and Genetic Influences on Cardiac Outcomes
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