ArticleScientific reports2021
Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Metabolomic Approaches to Lung Function in Pediatric Asthma: A Narrative Review.Children (Basel, Switzerland) · 2026Review
- Impact of environmental exposures on exhaled breath and lung function: NELA Birth Cohort.ERJ open research · 2025Article
- Discovery and Validation of a Volatile Signature of Eosinophilic Airway Inflammation in Asthma.American journal of respiratory and critical care medicine · 2024Article
- External Validation of Potential Breath Biomarkers for Asthma: A Step Forward Toward the Clinical Implementation of Breath Analysis.American journal of respiratory and critical care medicine · 2024Article
- Biomarker Predictors of Clinical Efficacy of the Anti-IgE Biologic Omalizumab in Severe Asthma in Adults: Results of the SoMOSA Study.American journal of respiratory and critical care medicine · 2024Article
- Progress and challenges of developing volatile metabolites from exhaled breath as a biomarker platform.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- Article
- Detecting the Unseen: Understanding the Mechanisms and Working Principles of Earthquake Sensors.Sensors (Basel, Switzerland) · 2023Review
- GC-MS-based metabolomics of volatile organic compounds in exhaled breath: applications in health and disease. A review.Frontiers in molecular biosciences · 2023Review
- Relationship between lung function and exhaled volatile organic compounds in healthy infants.Pediatric pulmonology · 2022Article
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Authors and funding
12 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The prevalence of asthma is considerably high among women of childbearing age. Most asthmatic women also often have other atopic disorders. Therefore, the differentiation between patients with atopic diseases without asthma and asthmatics with coexisting diseases is essential to avoid underdiagnosis of asthma and to design strategies to reduce symptom severity and improve quality of life of patients. Hence, we aimed for the first time to conduct an analysis of volatile organic compounds in exhaled breath of women of childbearing age as a new approach to discriminate between asthmatics with other coexisting atopic diseases and non-asthmatics (with or without atopic diseases), which could be a helpful tool for more accurate asthma detection and monitoring using a noninvasive technique in the near future. In this study, exhaled air samples of 336 women (training set (n = 211) and validation set (n = 125)) were collected and analyzed by thermal desorption coupled with gas chromatography-mass spectrometry. ASCA (ANOVA (analysis of variance) simultaneous component analysis) and LASSO + LS (least absolute shrinkage and selection operator + logistic regression) were employed for data analysis. Fifteen statistically significant models (p-value < 0.05 in permutation tests) that discriminated asthma with other coexisting atopic diseases in women of childbearing age were generated. Acetone, 2-ethyl-1-hexanol and a tetrahydroisoquinoline derivative were selected as discriminants of asthma with other coexisting atopic diseases. In addition, carbon disulfide, a tetrahydroisoquinoline derivative, 2-ethyl-1-hexanol and decane discriminated asthma disease among patients with other atopic disorders. Results of this study indicate that refined metabolomic analysis of exhaled breath allows asthma with other coexisting atopic diseases discrimination in women of reproductive age.
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