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Sleep Apnea

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...

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Related Experiment Video

Updated: Mar 17, 2026

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea

Published on: December 6, 2016

Metabolomics Profiling for Obstructive Sleep Apnea and Simple Snorers.

Huajun Xu^1,2,3, Xiaojiao Zheng⁴, Yingjun Qian^1,2,3

¹Department of Otolaryngology Head and Neck Surgery &Center of Sleep Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Road 600, 200233 Shanghai, China.

Scientific Reports

|August 3, 2016

Summary

Urinary metabolite analysis identified unique signatures for obstructive sleep apnea (OSA) and simple snoring (SS). These metabolic profiles may offer a novel, non-invasive diagnostic approach beyond traditional polysomnography (PSG).

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Last Updated: Mar 17, 2026

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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

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Published on: May 6, 2022

Area of Science:

Metabolomics
Clinical Chemistry
Sleep Medicine

Background:

Limited research exists on urinary metabolite alterations in obstructive sleep apnea (OSA) patients.
Current diagnostic methods like polysomnography (PSG) can be resource-intensive.

Purpose of the Study:

To investigate urinary metabolite profiles in patients with OSA, simple snorers (SS), and normal subjects using a metabolomics approach.
To identify potential biomarkers for distinguishing OSA from SS and healthy controls.

Main Methods:

Analysis of urinary metabolites using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) and gas chromatography-time-of-flight mass spectrometry (GC-TOF-MS).
Comparison of metabolite levels across three groups: OSA, SS, and normal subjects.
Receiver operator curve (ROC) analysis to evaluate diagnostic potential of identified metabolites.

Main Results:

Significant differences in urinary metabolite levels were observed between OSA, SS, and normal groups.
21 metabolites were differentially expressed in SS, and 31 in OSA compared to controls.
Specific combinations of metabolites demonstrated moderate to high sensitivity and specificity in distinguishing OSA from non-OSA individuals and SS.

Conclusions:

Metabolomics analysis revealed distinct urinary metabolic signatures associated with OSA and SS.
Identified altered metabolite profiles show potential as non-invasive biomarkers for OSA diagnosis.
These findings suggest a possible alternative or complementary diagnostic strategy to PSG.