Identification of Exhaled Metabolites in Children with Cystic Fibrosis

Ronja Weber1, Nathan Perkins2, Tobias Bruderer3

  • 1Department of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland.

Metabolites
|October 27, 2022
PubMed

Insights

Early detection of cystic fibrosis lung inflammation is crucial. Researchers identified 49 exhaled compounds using mass spectrometry, aiding non-invasive monitoring and personalized treatments for children with cystic fibrosis.

Area of Science:

  • Pulmonary Medicine
  • Analytical Chemistry
  • Biochemistry

Background:

  • Early detection of inflammation and infection is vital in cystic fibrosis (CF) to prevent irreversible lung damage.
  • Non-invasive monitoring tools are needed to improve the quality of life for CF patients.
  • Previous research identified over 100 exhaled mass-to-charge (m/z) features distinguishing CF children from healthy controls using on-line secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS).

Purpose of the Study:

  • To annotate as many of the previously detected m/z features as possible with putative chemical structures.
  • To identify specific exhaled volatile organic compounds (VOCs) that discriminate children with CF from healthy individuals.
  • To establish a foundation for future non-invasive and personalized diagnostic applications in CF.

Main Methods:

  • Utilized on-line SESI-HRMS to analyze exhaled breath from CF patients and healthy controls.
  • Applied a rigorous compound identification workflow involving on-line MS2 spectra analysis.
  • Conducted a literature comparison to support the annotation of m/z features with chemical structures.

Main Results:

  • Successfully putatively identified 49 discriminatory exhaled compounds.
  • Found elevated levels of glycolic acid, glyceric acid, and xanthine in children with CF.
  • Observed decreased levels of certain acylcarnitines and aldehydes in the CF group compared to controls.

Conclusions:

  • The study successfully identified specific exhaled VOC signatures differentiating children with CF from healthy controls.
  • The developed compound identification workflow is effective for annotating discriminatory VOCs in breath.
  • These findings represent a significant step towards developing non-invasive, personalized monitoring strategies for cystic fibrosis.