Biomarkers and genetics of non-invasive vascular function in cardiovascular disease -from biology to prevention

心血管疾病非侵入性血管功能的生物标志物和遗传学——从生物学到预防

• 批准号: 165938129
• 负责人: Professorin Dr. Renate B. Schnabel
• 金额: --
• 依托单位: Klinik für Kardiologie
• 依托单位国家: 德国
• 项目类别: Independent Junior Research Groups
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/165938129?language=en
• 关键词: Biomarkers; genetics; non; invasive; vascular

Atherosclerotic cardiovascular disease (e.g. myocardial infarction, stroke) is the number one cause of death and disability in the world. We are only beginning to understand the pathophysiology and differential susceptibility for atherosclerosis in the community. Early stages of atherosclerosis are characterized by still reversible vascular dysfunction. The aim of this research is to detect the predisposition for the disease and early, reversible stages of disease to allow prevention and timely intervention. We will use an approach that combines genetics, biomarkers and non-invasively measured vascular function in prospective cohort studies of initially healthy individuals (Gutenberg Heart Study) and patients with manifest cardiovascular disease. Morphologic and dynamic changes in large vessels and the microvasculature will be correlated with micro-array data of genome-wide polymorphisms and environmental information from extensive questionnaires. The integration of newly detected and classical risk factor data and the association with incidence of disease may improve current risk scores to enhance pre-emptive, personalized cardiovascular medicine and to identify targets for prevention. International collaborations with independent studies will be used to replicate findings in large-scale cohorts.

动脉粥样硬化性心血管疾病（如心肌梗塞、中风）是世界上导致死亡和残疾的头号原因。我们才刚刚开始了解社区动脉粥样硬化的病理生理学和不同的易感性。动脉粥样硬化的早期阶段的特征在于仍然可逆的血管功能障碍。这项研究的目的是检测疾病的易感性和疾病的早期可逆阶段，以便预防和及时干预。我们将在最初健康个体（古滕贝格心脏研究）和明显心血管疾病患者的前瞻性队列研究中使用结合遗传学、生物标志物和非侵入性测量血管功能的方法。大血管和微血管的形态和动态变化将与全基因组多态性的微阵列数据和来自广泛问卷的环境信息相关。新发现的和经典的风险因素数据的整合以及与疾病发生率的关联可能会改善当前的风险评分，以增强先发制人的个性化心血管药物，并确定预防目标。将利用与独立研究的国际合作，在大规模队列中复制研究结果。