Uncoupling Protein Polymorphisms and Cardiometabolic Responses to Beta-Blockers

解偶联蛋白质多态性和对 β 受体阻滞剂的心脏代谢反应

• 批准号: 7531941
• 负责人: AMBER L BEITELSHEES
• 金额: $ 2.77万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2008-11-07
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7531941
• 关键词: Adrenergic beta-Antagonists; Adverse effects; Alleles; Amber; Animals; Area; Award; Binding; Candidate Disease Gene; Cardiac; Cardiovascular Diseases; Cardiovascular system; Cause of Death; Clinical; Cyclic AMP Response Element; Cyclic AMP-Responsive DNA-Binding Protein; Development; Development Plans; Diabetes Mellitus; Disease; Energy Metabolism; Equilibrium; Event; Florida; Gene Cluster; Genes; Genetic; Genetic Polymorphism; Genotype; Glucose; Heart; Hour; Imaging Techniques; In Vitro; Individual; Kinetics; Lipids; Lipolysis; Mentors; Messenger RNA; Metabolic; Mitochondria; Morbidity - disease rate; Myocardial; Myocardial dysfunction; Myocardial perfusion; Non-Insulin-Dependent Diabetes Mellitus; Nonesterified Fatty Acids; Obesity; Other Therapy; Outcome; Oxidative Stress; Patients; Peripheral; Pharmaceutical Preparations; Pharmacogenetics; Pharmacogenomics; Pharmacotherapy; Phenotype; Play; Process; Proteins; Public Health; Relative (related person); Research; Research Personnel; Resistance; Risk; Role; Scientist; Single Nucleotide Polymorphism; Site; Skeletal Muscle; Structure; Technetium 99m; Translating; Translational Research; Universities; Ursidae Family; Validation; Variant; abstracting; acute coronary syndrome; attenuation; career; cohort; design; diabetic; experience; fatty acid metabolism; fatty acid oxidation; functional genomics; improved; insight; insulin sensitivity; lipid metabolism; metabolic abnormality assessment; mortality; non-diabetic; prevent; programs; promoter; prospective; protein expression; response; single photon emission computed tomography; skills; validation studies

DESCRIPTION (provided by applicant): This K23 application is aimed at promoting career development through a structured, mentored program. This award will allow the development of expertise in the area of cardiovascular pharmacogenomics and functional genomics by characterizing variability in the cardiometabolic responses of beta-blockers among individuals with diabetes. Despite numerous advances made in the treatment of cardiovascular disease (CVD), morbidity and mortality remain unacceptably high, particularly among people with diabetes. The optimization of drug therapy is critical in patients with CVD and type 2 diabetes, as these patients 1) experience a particularly aggressive disease process, 2) are often resistant to traditional CVD pharmacotherapies, and 3) bear a disproportionate burden of CVD. The factors contributing to poor outcomes experienced by diabetic individuals remain largely unknown. Some commonly prescribed CV medications, such as beta-blockers, have adverse metabolic profiles, the mechanisms of which are not completely understood, that may dampen their ability to prevent adverse outcomes in some patients. It is important to identify which patients may experience this attenuation of drug benefit, and pharmacogenomics provides the opportunity to characterize the genetic contribution to inter-patient variability in drug responses. The mitochpndrial uncoupling proteins (UCPs) have been suggested to play a role in CVD, diabetes, and obesity through their effects on oxidative stress, insulin sensitivity, and energy expenditure. The genes that encode the UCPs are of high priority as candidate genes in explaining the discrepancy in outcomes experienced by diabetic patients compared to non-diabetic patients and may contribute to beta-blockers' mechanism of benefit or to their adverse effects on lipid metabolism. The studies proposed herein represent a prospective pharmacogenetic study with extensive phenotyping in diabetic patients designed to provide insight into the mechanism and validation of our previous association with UCP polymorphisms and adverse beta-blocker outcomes. In doing this mechanistically-driven validation study, we are laying the framework for translating our findings into clinical practice. Specifically, this project aims to: 1) compare cardiac function in response to beta-blocker treatment using sensitive imaging techniques by UCP2-3 genotypes, 2) determine whether 24-hour free fatty acid (FFA) kinetics in response to beta-blocker therapy differ among individuals with diabetes by UCP2-3 genotypes, and 3) evaluate the functional consequences of UCP2-3 polymorphisms which may contribute to differences in response to CV medications. This study has important public health implications in that CVD is the leading cause of death in diabetes. By better understanding why some patients with diabetes respond more favorably to CV therapies than others, we may be able to more appropriately treat individual patients, thereby improving outcomes. (End of Abstract)

描述（由申请人提供）：此K23应用程序旨在通过结构化，指导计划促进职业发展。该奖项将通过表征糖尿病患者中β-受体阻滞剂心脏代谢反应的变异性来发展心血管药物基因组学和功能基因组学领域的专业知识。尽管在心血管疾病（CVD）的治疗方面取得了许多进展，但发病率和死亡率仍然高得令人无法接受，特别是在糖尿病患者中。药物治疗的优化对于CVD和2型糖尿病患者至关重要，因为这些患者1）经历特别侵袭性的疾病过程，2）通常对传统CVD药物治疗具有抗性，3）承受不成比例的CVD负担。导致糖尿病患者预后不良的因素在很大程度上仍不清楚。一些常用的心血管药物（如β受体阻滞剂）具有不良代谢特征，其机制尚不完全清楚，这可能会抑制其预防某些患者不良结局的能力。重要的是要确定哪些患者可能会经历这种药物获益的衰减，药物基因组学提供了表征药物反应中患者间变异性的遗传贡献的机会。线粒体解偶联蛋白（mitochondrial uncoupling proteins，UCPs）通过影响氧化应激、胰岛素敏感性和能量消耗，在心血管疾病、糖尿病和肥胖中发挥作用。编码UCP的基因作为候选基因在解释糖尿病患者与非糖尿病患者相比经历的结果差异方面具有高度优先级，并且可能有助于β受体阻滞剂的获益机制或其对脂质代谢的不良影响。本文提出的研究代表了一项前瞻性药物遗传学研究，在糖尿病患者中进行了广泛的表型分析，旨在深入了解我们先前与UCP多态性和β受体阻滞剂不良结局相关的机制和验证。在进行这项机械驱动的验证研究时，我们正在为将我们的发现转化为临床实践奠定框架。具体而言，该项目旨在：1）通过UCP 2 -3基因型使用灵敏的成像技术比较响应于β-阻断剂治疗的心脏功能，2）通过UCP 2 -3基因型确定响应于β-阻断剂治疗的24小时游离脂肪酸（FFA）动力学在糖尿病个体中是否不同，和3）评估UCP 2 -3多态性的功能后果，其可能导致对CV药物的反应差异。这项研究具有重要的公共卫生意义，因为CVD是糖尿病死亡的主要原因。通过更好地了解为什么一些糖尿病患者对CV治疗的反应比其他患者更好，我们可能能够更适当地治疗个体患者，从而改善结局。 (End摘要）