SELECTING BIOMARKERS FOR THE MOLECULAR DIAGNOSIS OF SLEEPINESS

选择用于嗜睡分子诊断的生物标志物

• 批准号: 7498520
• 负责人: PAUL J SHAW
• 金额: $ 19万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-20 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7498520
• 关键词: Acute; Address; Age; Animal Model; Attention; Basic Science; Beds; Behavior; Biological; Biological Markers; Circadian Rhythms; Clinic; Clinical; Cognitive deficits; Communities; Condition; Consensus; Continuous Positive Airway Pressure; Coronary heart disease; Daily; Data Set; Databases; Diagnosis; Disease; Drosophila genus; Drosophila melanogaster; Endocrine; Evaluation; General Population; Genes; Genetic; Genetic Markers; Goals; Health; Homologous Gene; Hour; Human; Hypoxia; Immunology; Individual; Invasive; Life; Liquid substance; Messenger RNA; Metabolism; Molecular Diagnosis; Monitor; Names; Non-Insulin-Dependent Diabetes Mellitus; Obesity; Obstructive Sleep Apnea; Occupational Accidents; Outcome; Patients; Polymerase Chain Reaction; Population; Predisposition; Procedures; Proteins; Public Health; Reporting; Research; Risk; Saliva; Sampling; Sleep; Sleep Apnea Syndromes; Sleep Deprivation; Sleep Disorders; Societies; Testing; Time; Translating; Treatment Efficacy; day; experience; fly; human subject; tool; trafficking; vigilance

DESCRIPTION (provided by applicant): It is a common experience to sacrifice sleep to meet the demands of our 24-h society. Current estimates reveal that, as a society, we sleep on average 2 h less than we did 40 years ago. This level of sleep restriction results in negative health outcomes and is sufficient to produce cognitive deficits, reduced attention, and is associated with increased risk for traffic and occupational accidents. Unfortunately, there is no simple quantifiable marker that can detect an individual who is excessively sleepy before adverse outcomes become evident. To address this issue we have developed a simple and effective strategy for identifying biomarkers of sleepiness using genetic and pharmacological tools that dissociate sleep drive from wake time in the model organism Drosophila melanogaster. In this proposal we will choose select genes from our Drosophila Database of Biomarkers to develop a noninvasive tool that can be used for the molecular diagnosis of sleepiness in humans. We will identify genes that are responsive to acute sleep loss then determine if these biomarkers are altered in patients with obstructive sleep apnea syndrome.PROJECT NARRATIVE Sleep loss adversely effects metabolic processes, endocrine functions, and immunology and may increase the susceptibility of individuals to serious diseases, including obesity, type II diabetes and coronary heart disease to name a few. Developing tools for the molecular diagnosis of sleepiness will assist with the identification and treatment of sleepiness in the general population and in critical patient populations.

描述（由申请人提供）：牺牲睡眠以满足我们24-H社会的需求是一种普遍的经历。目前的估计表明，作为一个社会，我们平均比40年前少2小时睡眠。这种睡眠限制水平会导致负面的健康结果，足以产生认知缺陷，注意力降低，并且与交通和职业事故的风险增加有关。不幸的是，没有简单的可量化标记可以检测到一个在不利结果明显之前过度困倦的人。为了解决这个问题，我们已经开发了一种简单有效的策略，可以使用遗传和药理学工具来识别嗜睡的生物标志物，从而使模型有机体果蝇的唤醒时间解散睡眠驱动器。在此提案中，我们将从我们的果蝇数据库中选择选择基因，以开发一种无创工具，可用于人类嗜睡的分子诊断。我们将确定对急性睡眠损失有反应的基因，然后确定阻塞性睡眠呼吸暂停综合征患者是否改变了这些生物标志物。 睡眠损失不利影响代谢过程，内分泌功能和免疫学，并可能增加个人对严重疾病的敏感性，包括肥胖症，II型糖尿病和冠状动脉疾病。开发用于嗜睡分子诊断的工具将有助于鉴定和治疗一般人群和关键患者人群中的嗜睡。