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Related Experiment Video

Updated: May 31, 2025

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

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A Study of Volatile Organic Compounds in Patients with Obstructive Sleep Apnea.

Chuan Hao Gui¹, Zhunan Jia², Zihao Xing²

¹Tan Tock Seng Hospital, 11 Jln Tan Tock Seng, Singapore 308433, Singapore.

|January 24, 2025

Summary

Volatile organic compounds (VOCs) in breath, detected by PTR-MS, show promise for non-invasively diagnosing Obstructive Sleep Apnea (OSA). Acetaldehyde emerged as a key biomarker linked to OSA severity.

Keywords:

PTR-MS biomarkers breath analysis clinical diagnostics obstructive sleep apnea

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A Model to Simulate Clinically Relevant Hypoxia in Humans

A Model to Simulate Clinically Relevant Hypoxia in Humans

Published on: December 22, 2016

Area of Science:

Biochemistry
Medical Diagnostics
Analytical Chemistry

Background:

Obstructive Sleep Apnea (OSA) is a common sleep disorder with serious health implications.
Current diagnostic methods like polysomnography are resource-intensive and time-consuming.
Non-invasive diagnostic approaches are needed to improve patient care and accessibility.

Purpose of the Study:

To investigate the potential of proton-transfer-reaction mass spectrometry (PTR-MS) for identifying volatile organic compound (VOC) biomarkers of OSA.
To assess the correlation between identified VOC biomarkers and the severity of OSA, measured by the Apnea-Hypopnea Index (AHI).

Main Methods:

Breath samples from 89 participants (49 OSA patients, 40 controls) were analyzed using PTR-MS.
Statistical analyses, including Wilcoxon rank-sum test and partial least squares discriminant analysis (PLS-DA), were used to identify differentiating VOCs.
Regression analysis was performed to correlate VOC levels with the AHI.

Main Results:

Specific VOCs, including acetaldehyde (m045), m095.950, and m097.071, were significantly different between OSA patients and controls.
PLS-DA and correlation mapping confirmed the robustness of these VOC biomarkers.
Acetaldehyde (m045) showed a significant correlation with the AHI, indicating its potential as a severity biomarker.

Conclusions:

VOCs identified via PTR-MS show potential as non-invasive biomarkers for detecting OSA and assessing its severity.
PTR-MS offers a rapid, cost-effective method for OSA screening, potentially aiding clinical stratification and prioritizing polysomnography.
Further validation in larger cohorts and integration with other diagnostic tools are recommended for enhanced clinical utility.