Metabolomic profiles predict clinical severity in patients with obstructive sleep apnea-hypopnea syndrome.

ABSTRACT:

Study objectives

Obstructive sleep apnea-hypopnea syndrome (OSAHS) poses a significant health hazard, intermittent hypoxia inflicts damage throughout the body and is considered a critical risk factor for metabolic disorders. The aim of this study was to establish a metabolic profile for patients with OSAHS using nontargeted metabolomics detection techniques, providing a basis for OSAHS diagnosis and novel biological marker identification.

Methods

45 patients with OSAHS composed the OSAHS group, and 44 healthy volunteers composed the control group. Nontargeted metabolomics technology was used to analyze participants' urinary metabolites. Differentially abundant metabolites were screened and correlated through hierarchical clustering analysis. We constructed a composite metabo

SUBMITTER: Wang X 

PROVIDER: S-EPMC11367723 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature