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Polygraphic Recording Procedure for Measuring Sleep in Mice
Published on: January 25, 2016
Genomics of sleep-disordered breathing
Vsevolod Y Polotsky1, Christopher P O'Donnell
1Division of Pulmonary and Critical Care Medicine, The Johns Hopkins Medical School, Baltimore Maryland, USA.
Proceedings of the American Thoracic Society
|January 5, 2007
Summary
Genomics and proteomics reveal gene and protein changes in obstructive sleep apnea (OSA). These advanced tools offer new ways to understand OSA
Area of Science:
- Genomics and Proteomics
- Sleep Medicine
- Genetics
Background:
- Obstructive sleep apnea (OSA) has a genetic basis, but its pathogenesis is not fully understood.
- Traditional genetic studies have limitations in exploring OSA's genetic underpinnings.
- Genomic and proteomic approaches are well-suited to study the consequences of OSA.
Purpose of the Study:
- To explore the application of genomics and proteomics in understanding obstructive sleep apnea (OSA).
- To investigate novel gene and protein expression responses to OSA and its associated conditions.
- To assess the potential of these technologies for OSA diagnosis and understanding downstream pathologies.
Main Methods:
- Utilizing genomics and proteomics to analyze gene and protein expression.
- Employing animal models to study responses to intermittent hypoxia and sleep deprivation.
- Analyzing blood and urine samples from OSA patients for proteomic signatures.
Main Results:
- Identified novel gene activation paradigms in response to OSA-related stressors in animal models.
- Demonstrated the potential of proteomic analyses for OSA screening.
- Highlighted the promise of these technologies for uncovering mechanisms of OSA-related pathologies.
Conclusions:
- Genomics and proteomics offer powerful tools to advance the understanding of obstructive sleep apnea (OSA) pathogenesis and consequences.
- These technologies hold promise for developing diagnostic tools and identifying therapeutic targets for OSA.
- Future research, particularly with increased tissue access, will further leverage these approaches to define OSA-related mechanisms and downstream diseases.
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