Abstract
Analytical lights and shadows in metabolomics research on obstructive sleep apnea
Highlights
Obstructive sleep apnea (OSA) is characterized by episodes of partial or complete pharyngeal collapse associated with reduction or total absence of airflow during sleep that result in intermittent hypoxia, hypercapnia and sleep disruption
Blood is the most common sample used in metabolomics studies in general and in the look for biomarkers in particular, despite some authors complain about the high concentration of proteins in this biofluid [32]
Comparison of obstructive sleep apnea (OSA) patients before and after continuous positive airway pressure (CPAP) therapy resulted in a distinct breath profile allowing differentiation between treated and untreated OSA with a high diagnostic accuracy in a blind prediction based on the change in 62 exhaled features, among which 16 metabolites were identified [88]
Summary
Obstructive sleep apnea (OSA) is characterized by episodes of partial or complete pharyngeal collapse associated with reduction (hypopnea) or total (apnea) absence of airflow during sleep that result in intermittent hypoxia, hypercapnia and sleep disruption.Obesity could increase the likelihood of airway collapse by directly affecting the anatomy of upper airway as fat is deposited on surrounding structures. Blood (as either serum or plasma) is the most common sample used in metabolomics studies in general and in the look for biomarkers in particular, despite some authors complain about the high concentration of proteins in this biofluid [32].
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