ERJ Open Research (Jan 2020)

Volatile organic compound breath signatures of children with cystic fibrosis by real-time SESI-HRMS

  • 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

DOI
https://doi.org/10.1183/23120541.00171-2019
Journal volume & issue
Vol. 6, no. 1

Abstract

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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.