Real Time Breath Analysis Using Portable Gas Chromatography for Adult Asthma Phenotypes
| Autor: | Wenzhe Zang, Nicole Schafer, Yvonne J. Huang, Ruchi Sharma, Lesa Begley, Menglian Zhou, Xudong Fan |
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| Rok vydání: | 2021 |
| Předmět: |
Endocrinology
Diabetes and Metabolism Asthma phenotypes precision medicine Microbiology Biochemistry Article Inhaled steroid Atopy 03 medical and health sciences 0302 clinical medicine Medicine Molecular Biology 030304 developmental biology Asthma 0303 health sciences business.industry asthma Precision medicine medicine.disease QR1-502 Rapid assessment 030228 respiratory system Breath gas analysis exhaled breath Immunology Gas chromatography business portable gas chromatography |
| Zdroj: | Metabolites Volume 11 Issue 5 Metabolites, Vol 11, Iss 265, p 265 (2021) |
| DOI: | 10.7302/7768 |
| Popis: | Asthma is heterogeneous but accessible biomarkers to distinguish relevant phenotypes remain lacking, particularly in non-Type 2 (T2)-high asthma. Moreover, common clinical characteristics in both T2-high and T2-low asthma (e.g., atopy, obesity, inhaled steroid use) may confound interpretation of putative biomarkers and of underlying biology. This study aimed to identify volatile organic compounds (VOCs) in exhaled breath that distinguish not only asthmatic and non-asthmatic subjects, but also atopic non-asthmatic controls and also by variables that reflect clinical differences among asthmatic adults. A total of 73 participants (30 asthma, eight atopic non-asthma, and 35 non-asthma/non-atopic subjects) were recruited for this pilot study. A total of 79 breath samples were analyzed in real-time using an automated portable gas chromatography (GC) device developed in-house. GC-mass spectrometry was also used to identify the VOCs in breath. Machine learning, linear discriminant analysis, and principal component analysis were used to identify the biomarkers. Our results show that the portable GC was able to complete breath analysis in 30 min. A set of nine biomarkers distinguished asthma and non-asthma/non-atopic subjects, while sets of two and of four biomarkers, respectively, further distinguished asthmatic from atopic controls, and between atopic and non-atopic controls. Additional unique biomarkers were identified that discriminate subjects by blood eosinophil levels, obese status, inhaled corticosteroid treatment, and also acute upper respiratory illnesses within asthmatic groups. Our work demonstrates that breath VOC profiling can be a clinically accessible tool for asthma diagnosis and phenotyping. A portable GC system is a viable option for rapid assessment in asthma. |
| Databáze: | OpenAIRE |
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