This is an R01 funded project that focuses on the utility of metabolomics as a biomarker for OSA. Aims 1 and 3 leverages banked samples previously collected from subjects with and without OSA at the University of Pennsylvania and University of Iceland. Aim 2 is a prospective study that will collect serum samples from OSA subjects at the University of Pennsylvania and the University of Iceland.
The primary objective of Aim 2 is to conduct a prospective observational study to evaluate the metabolomic changes in response to six months of positive airway pressure (PAP) treatment among OSA patients. Newly diagnosed OSA patients (AHI\>5) will undergo additional measurements including: accelerometer x one week (to inform the metabolomics), Type 2 home sleep test (to assist with OSA subtyping), next morning blood draw, 24-hour diet recall (to inform the metabolomics), questionnaires and PVT.
Study Type
OBSERVATIONAL
Enrollment
388
This protocol does not involve an intervention of drug/device, diet, exercise or PAP compliance.
University of Pennsylvania
Philadelphia, Pennsylvania, United States
University of Iceland
Reykjavik, Iceland
Assess the utility of metabolomics to diagnose OSA and access whether these metabolomic signatures change with PAP treatment.
New OSA patients, AHI\>5 will be recruited. Since this is a real-world trial, compliance of PAP usage will vary from 0 to 100%. Thus, we will be able to assess not only what metabolomic changes occur with PAP usage but also whether there is a correlation to the amount of PAP usage. Metabolomics can be used as a biomarker that correlates with duration and frequency of PAP usage. This will then be correlated to subjective and objective measures of daytime sleepiness (questionnaires + PVT) and sleep fragmentation.
Time frame: We anticipate prospective recruitment to be completed within 3.5 years with final analyses completed by year 4.
Determine a metabolic signature that correlates with duration and frequency of PAP usage. This will then be correlated to subjective and objective measures of daytime sleepiness and sleep fragmentation.
We will assess whether there is a specific metabolic signature that strongly associates with PAP adherence, potentially independent of the metabolites in Outcome 1. Identifying the set of metabolites with the strongest association with PAP usage will allow us to define an objective biomarker for quantifying PAP adherence. Moreover, the pathways implicated by these biomarkers are likely to allude to certain mechanisms of response.
Time frame: We anticipate prospective recruitment to be completed within 3.5 years with final analyses completed by year 4.
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