Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age
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 under...
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Nature Portfolio
2021-07-01
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Online Access: | https://doi.org/10.1038/s41598-021-92933-2 |
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author | Rosa A. Sola-Martínez Gema Lozano-Terol Julia Gallego-Jara Eva Morales Esther Cantero-Cano Manuel Sanchez-Solis Luis García-Marcos Pedro Jiménez-Guerrero José A. Noguera-Velasco Manuel Cánovas Díaz Teresa de Diego Puente the NELA study group |
author_facet | Rosa A. Sola-Martínez Gema Lozano-Terol Julia Gallego-Jara Eva Morales Esther Cantero-Cano Manuel Sanchez-Solis Luis García-Marcos Pedro Jiménez-Guerrero José A. Noguera-Velasco Manuel Cánovas Díaz Teresa de Diego Puente the NELA study group |
author_sort | Rosa A. Sola-Martínez |
collection | DOAJ |
description | 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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last_indexed | 2024-12-20T22:11:51Z |
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spelling | doaj.art-082180fcfc1142d2bc21a7d6576996a02022-12-21T19:25:08ZengNature PortfolioScientific Reports2045-23222021-07-0111111710.1038/s41598-021-92933-2Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing ageRosa A. Sola-Martínez0Gema Lozano-Terol1Julia Gallego-Jara2Eva Morales3Esther Cantero-Cano4Manuel Sanchez-Solis5Luis García-Marcos6Pedro Jiménez-Guerrero7José A. Noguera-Velasco8Manuel Cánovas Díaz9Teresa de Diego Puente10the NELA study groupDepartment of Biochemistry and Molecular Biology B and Immunology, University of MurciaDepartment of Biochemistry and Molecular Biology B and Immunology, University of MurciaDepartment of Biochemistry and Molecular Biology B and Immunology, University of MurciaBiomedical Research Institute of Murcia, IMIB-ArrixacaBiomedical Research Institute of Murcia, IMIB-ArrixacaBiomedical Research Institute of Murcia, IMIB-ArrixacaBiomedical Research Institute of Murcia, IMIB-ArrixacaRegional Atmospheric Modelling Group, Department of Physics, University of MurciaDepartment of Biochemistry and Molecular Biology B and Immunology, University of MurciaDepartment of Biochemistry and Molecular Biology B and Immunology, University of MurciaDepartment of Biochemistry and Molecular Biology B and Immunology, University of MurciaAbstract 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.https://doi.org/10.1038/s41598-021-92933-2 |
spellingShingle | Rosa A. Sola-Martínez Gema Lozano-Terol Julia Gallego-Jara Eva Morales Esther Cantero-Cano Manuel Sanchez-Solis Luis García-Marcos Pedro Jiménez-Guerrero José A. Noguera-Velasco Manuel Cánovas Díaz Teresa de Diego Puente the NELA study group Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age Scientific Reports |
title | Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age |
title_full | Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age |
title_fullStr | Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age |
title_full_unstemmed | Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age |
title_short | Exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age |
title_sort | exhaled volatilome analysis as a useful tool to discriminate asthma with other coexisting atopic diseases in women of childbearing age |
url | https://doi.org/10.1038/s41598-021-92933-2 |
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