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Breath profiles in paediatric allergic asthma by proton transfer reaction mass spectrometry

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Introduction Enhancing paediatric asthma diagnosis is crucial. Molecular analysis of exhaled breath is a rapidly evolving field aimed at harnessing established and innovative technologies for clinical applications. This study evaluates the feasibility of using online proton-transfer-reaction mass spectrometry (PTR-MS) to identify distinctive breath signatures in children with allergic asthma. Methods Exhaled breath samples of 81 children (41 with allergic asthma and 40 healthy controls) were analysed using the Vocus CI-TOF mass spectrometer (Tofwerk AG, Switzerland), with mass spectra acquired in H 3 O + and NH 4 + ionisation modes. Significant mass-to-charge (m/z) features were extracted using the Wilcoxon rank-sum test. Molecular identification was conducted using two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-Q-TOF). Results Statistical analysis revealed 89 significant m/z features associated with paediatric allergic asthma, 66 in H 3 O + mode and 23 in NH 4 + mode. Supervised machine learning achieved an average accuracy of 74.7% in distinguishing between the groups. GCxGC-QTOF analysis identified a subset of significant features, including four previously reported asthma predictors in breath analysis studies. 16 novel asthma predictor candidates were additionally detected, including 7 likely endogenous, 4 unknowns and 3 exogenous. The main group of breath metabolites was structurally related fatty acids, methyl esters and aldehydes, including four known biomarkers of lipid peroxidation. Conclusion Our findings demonstrate the suitability of PTR-MS for real-time breath analysis in paediatric populations. Moreover, the identification of distinct breath signatures exclusive to allergic asthma in children suggests the potential of leveraging such technology for non-invasive diagnostic applications.
Title: Breath profiles in paediatric allergic asthma by proton transfer reaction mass spectrometry
Description:
Introduction Enhancing paediatric asthma diagnosis is crucial.
Molecular analysis of exhaled breath is a rapidly evolving field aimed at harnessing established and innovative technologies for clinical applications.
This study evaluates the feasibility of using online proton-transfer-reaction mass spectrometry (PTR-MS) to identify distinctive breath signatures in children with allergic asthma.
Methods Exhaled breath samples of 81 children (41 with allergic asthma and 40 healthy controls) were analysed using the Vocus CI-TOF mass spectrometer (Tofwerk AG, Switzerland), with mass spectra acquired in H 3 O + and NH 4 + ionisation modes.
Significant mass-to-charge (m/z) features were extracted using the Wilcoxon rank-sum test.
Molecular identification was conducted using two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-Q-TOF).
Results Statistical analysis revealed 89 significant m/z features associated with paediatric allergic asthma, 66 in H 3 O + mode and 23 in NH 4 + mode.
Supervised machine learning achieved an average accuracy of 74.
7% in distinguishing between the groups.
GCxGC-QTOF analysis identified a subset of significant features, including four previously reported asthma predictors in breath analysis studies.
16 novel asthma predictor candidates were additionally detected, including 7 likely endogenous, 4 unknowns and 3 exogenous.
The main group of breath metabolites was structurally related fatty acids, methyl esters and aldehydes, including four known biomarkers of lipid peroxidation.
Conclusion Our findings demonstrate the suitability of PTR-MS for real-time breath analysis in paediatric populations.
Moreover, the identification of distinct breath signatures exclusive to allergic asthma in children suggests the potential of leveraging such technology for non-invasive diagnostic applications.

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