Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS
Early pulmonary infection and inflammation result in irreversible lung damage and are major contributors to cystic fibrosis (CF)-related morbidity. An easy to apply and noninvasive assessment for the timely detection of disease-associated complications would be of high value. We aimed to detect vola...
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Format: | Article |
Language: | English |
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European Respiratory Society
2020-01-01
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Series: | ERJ Open Research |
Online Access: | http://openres.ersjournals.com/content/6/1/00171-2019.full |
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author | Ronja Weber Naemi Haas Astghik Baghdasaryan Tobias Bruderer Demet Inci Srdjan Micic Nathan Perkins Renate Spinas Renato Zenobi Alexander Moeller Paediatric Exhalomics Group: Astghik Baghdasaryan Christoph Berger Christian Bieli Tobias Bruderer Naemi Haas Martin Hersberger Katharina Heschl Demet Inci Andreas Jung Malcolm Kohler Srdjan Micic Alexander Moeller Simona Müller Nathan Perkins Tina Schürmann Florian Singer Renate Spinas Bettina Streckenbach Jakob Usemann Ronja Weber Renato Zenobi |
author_facet | Ronja Weber Naemi Haas Astghik Baghdasaryan Tobias Bruderer Demet Inci Srdjan Micic Nathan Perkins Renate Spinas Renato Zenobi Alexander Moeller Paediatric Exhalomics Group: Astghik Baghdasaryan Christoph Berger Christian Bieli Tobias Bruderer Naemi Haas Martin Hersberger Katharina Heschl Demet Inci Andreas Jung Malcolm Kohler Srdjan Micic Alexander Moeller Simona Müller Nathan Perkins Tina Schürmann Florian Singer Renate Spinas Bettina Streckenbach Jakob Usemann Ronja Weber Renato Zenobi |
author_sort | Ronja Weber |
collection | DOAJ |
description | Early pulmonary infection and inflammation result in irreversible lung damage and are major contributors to cystic fibrosis (CF)-related morbidity. An easy to apply and noninvasive assessment for the timely detection of disease-associated complications would be of high value. We aimed to detect volatile organic compound (VOC) breath signatures of children with CF by real-time secondary electrospray ionisation high-resolution mass spectrometry (SESI-HRMS). A total of 101 children, aged 4–18 years (CF=52; healthy controls=49) and comparable for sex, body mass index and lung function were included in this prospective cross-sectional study. Exhaled air was analysed by a SESI-source linked to a high-resolution time-of-flight mass spectrometer. Mass spectra ranging from m/z 50 to 500 were recorded. Out of 3468 m/z features, 171 were significantly different in children with CF (false discovery rate adjusted p-value of 0.05). The predictive ability (CF versus healthy) was assessed by using a support-vector machine classifier and showed an average accuracy (repeated cross-validation) of 72.1% (sensitivity of 77.2% and specificity of 67.7%). This is the first study to assess entire breath profiles of children with SESI-HRMS and to extract sets of VOCs that are associated with CF. We have detected a large set of exhaled molecules that are potentially related to CF, indicating that the molecular breath of children with CF is diverse and informative. |
first_indexed | 2024-12-12T20:06:56Z |
format | Article |
id | doaj.art-17a6523ae30c446ea7fc885f4ee62d10 |
institution | Directory Open Access Journal |
issn | 2312-0541 |
language | English |
last_indexed | 2024-12-12T20:06:56Z |
publishDate | 2020-01-01 |
publisher | European Respiratory Society |
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series | ERJ Open Research |
spelling | doaj.art-17a6523ae30c446ea7fc885f4ee62d102022-12-22T00:13:36ZengEuropean Respiratory SocietyERJ Open Research2312-05412020-01-016110.1183/23120541.00171-201900171-2019Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMSRonja Weber0Naemi Haas1Astghik Baghdasaryan2Tobias Bruderer3Demet Inci4Srdjan Micic5Nathan Perkins6Renate Spinas7Renato Zenobi8Alexander Moeller9Paediatric Exhalomics Group:Astghik BaghdasaryanChristoph BergerChristian BieliTobias BrudererNaemi HaasMartin HersbergerKatharina HeschlDemet InciAndreas JungMalcolm KohlerSrdjan MicicAlexander MoellerSimona MüllerNathan PerkinsTina SchürmannFlorian SingerRenate SpinasBettina StreckenbachJakob UsemannRonja WeberRenato Zenobi Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Division of Clinical Chemistry and Biochemistry, University Children's Hospital Zürich, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland ETH Zürich, Dept of Chemistry and Applied Bioscience, Zürich, Switzerland Division of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zürich, Zürich, Switzerland Early pulmonary infection and inflammation result in irreversible lung damage and are major contributors to cystic fibrosis (CF)-related morbidity. An easy to apply and noninvasive assessment for the timely detection of disease-associated complications would be of high value. We aimed to detect volatile organic compound (VOC) breath signatures of children with CF by real-time secondary electrospray ionisation high-resolution mass spectrometry (SESI-HRMS). A total of 101 children, aged 4–18 years (CF=52; healthy controls=49) and comparable for sex, body mass index and lung function were included in this prospective cross-sectional study. Exhaled air was analysed by a SESI-source linked to a high-resolution time-of-flight mass spectrometer. Mass spectra ranging from m/z 50 to 500 were recorded. Out of 3468 m/z features, 171 were significantly different in children with CF (false discovery rate adjusted p-value of 0.05). The predictive ability (CF versus healthy) was assessed by using a support-vector machine classifier and showed an average accuracy (repeated cross-validation) of 72.1% (sensitivity of 77.2% and specificity of 67.7%). This is the first study to assess entire breath profiles of children with SESI-HRMS and to extract sets of VOCs that are associated with CF. We have detected a large set of exhaled molecules that are potentially related to CF, indicating that the molecular breath of children with CF is diverse and informative.http://openres.ersjournals.com/content/6/1/00171-2019.full |
spellingShingle | Ronja Weber Naemi Haas Astghik Baghdasaryan Tobias Bruderer Demet Inci Srdjan Micic Nathan Perkins Renate Spinas Renato Zenobi Alexander Moeller Paediatric Exhalomics Group: Astghik Baghdasaryan Christoph Berger Christian Bieli Tobias Bruderer Naemi Haas Martin Hersberger Katharina Heschl Demet Inci Andreas Jung Malcolm Kohler Srdjan Micic Alexander Moeller Simona Müller Nathan Perkins Tina Schürmann Florian Singer Renate Spinas Bettina Streckenbach Jakob Usemann Ronja Weber Renato Zenobi Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS ERJ Open Research |
title | Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS |
title_full | Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS |
title_fullStr | Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS |
title_full_unstemmed | Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS |
title_short | Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS |
title_sort | volatile organic compound breath signatures of children with cystic fibrosis by real time sesi hrms |
url | http://openres.ersjournals.com/content/6/1/00171-2019.full |
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