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Metabolomics of obstructive sleep apnea

阻塞性睡眠呼吸暂停的代谢组学

基本信息

批准号：
10654808
负责人：
Aalim M Weljie
金额：
$ 99.39万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10654808
关键词：
Address Apnea Arousal Atrial Fibrillation Automobile Driving Biological Markers Blood Body Weight decreased Cardiometabolic Disease Characteristics Clinic Clinical Collaborations Continuous Positive Airway Pressure Data Data Collection Dementia Diabetes Mellitus Disease Drowsiness European Union Event Fingerprint Frequencies Functional disorder Funding Future Glycosylated hemoglobin A Heart Diseases Heterogeneity Hour Hypertension Hypoxia Incidence Individual Insulin Resistance Link Malignant Neoplasms Measures Metabolic Metabolism Methods Molecular Monitor National Heart, Lung, and Blood Institute Neurodegenerative Disorders Obesity Observational Study Obstructive Sleep Apnea Occupations Paper Pathway interactions Patients Phenotype Prevalence Prospective Studies Proteomics Protocols documentation Publications Randomized Recurrence Research Research Project Grants Risk Risk Factors Role Safety Sampling Severities Site Sleep Sleep Apnea Syndromes Sleep Disorders Sleep Fragmentations Sleep disturbances Sleeplessness Societies Stroke Symptoms Techniques Treatment Efficacy United States National Institutes of Health biomarker identification cardiovascular risk factor case control causal model clinical application clinical care clinical phenotype clinical practice clinical subtypes design disease heterogeneity disorder subtype epigenomics improved indexing individual patient insight metabolic abnormality assessment metabolomics mortality non-alcoholic fatty liver disease novel patient population patient subsets personalized diagnostics personalized medicine positive airway pressure precision medicine prognostic prospective response sample collection sleep regulation treatment response weight loss intervention

项目摘要

ABSTRACT Obstructive sleep apnea (OSA) is a common disorder that is increasing in prevalence. OSA is known to have heterogeneous pathophysiology, with different subtypes, clinical consequence, and treatment responses among individual patients. A recent publication from the Sleep Research Society and National Heart, Lung and Blood Institute highlighted the potential clinical utility of quantitative OSA biomarkers identified using unbiased “omics” approaches.There are currently no established quantitative biomarkers that can be used to understand heterogeneity or inform clinical practice. Thus, the present study proposes to utilize metabolomic methods which reflect dynamic responses to hypoxia to identify metabolite signatures in OSA. The overarching hypothesis motivating this proposal is that blood-borne metabolite signatures that result from metabolic insults caused by the cyclical intermittent hypoxia, recurrent arousals and lack of deep sleep characteristic of OSA will provide a quantitative biomarker to better understand disease heterogeneity and inform clinical care. In Aim 1, we will differentiate OSA from non-OSA leveraging well- phenotyped samples carefully chosen from a large pool of patients from existing research projects (Aim 1A). Our preliminary suggest clear metabolite differences between patients with OSA and controls. Furthermore, we will leverage these existing samples to determine if established OSA symptom subtypes of disturbed sleep (e.g., insomnia), excessive sleepiness, and minimally symptomatic have distinct metabolomic profiles (Aim 1B) which will provide insights into identified differences in cardiovascular risk and support a precision medicine approach. These analyses utilizing banked samples are supported by a carefully designed prospective study of OSA patients before and after positive airway pressure (PAP) treatment in Aim 2. The study is designed to control for bias related to site-specific variance in sampling and data collection using state-of-the-art causal modeling techniques. As part of the prospective study, we will perform complementary analyses supporting metabolomic signatures (Aim 2A), determine a metabolomic signature that correlates with hours and days of PAP usage (Aim 2B) and evaluate whether the metabolomic changes with PAP treatment differ by obesity (Aim 2C) or symptom subtype (Aim 2D). In support of this Aim, preliminary data suggest metabolomic changes with PAP treatment.. Finally, in Aim 3 we will leverage existing samples of obese OSA subjects that were previously randomized to one of three treatments – weight-loss alone, PAP alone, or combined weight-loss and PAP. Differences in metabolomic changes among these three randomized groups will provide insights into the relative roles of obesity and cyclical intermittent hypoxia on metabolic responses and pathways. Ultimately, results from this proposal will provide comprehensive information on metabolomic signatures that can be utilized as quantitative biomarkers to further our understanding of OSA heterogeneity and inform clinical practice and personalized medicine among OSA patients. R01 Metabolomics of OSA - Page 1

摘要