Research Institute of Pulmonology FMBA Russia
Faculty of Chemistry, MV Lomonosov Moscow State University
Mechanics and Mathematics, Lomonosov Moscow State University
The search for new non-invasive techniques and biomarkers for the diagnosis of asthma and COPD is a topical problem of modern respiratory medicine.
Objective: To assess the potential of metabolomic approach in exhaled breath condensate (EBC) analysis in the diagnosis of asthma and COPD.
Methods: 20 patients with COPD exacerbation (age 66,58,5 years; FEV1-57,322,9%pred), 20 patients with asthma exacerbation (age 50,213,2 years; FEV1-71,420,7%pred) and 30 healthy nonsmoking volunteers (age 25,49,6 years, FEV1 - 98,46,8%pred) were enrolled in cross-sectional study. EBC was collected using ECoScreen. Testing for SvOC with different polarity in EBC was conducted by gas chromatography/mass-spectrometry (GC/MS) method. The collected data were analyzed using an algorithm based on linear methods of pattern recognition theory.
Results: There was detected more than100 of various semi-volatile organic compounds (SvOC) in ultra-low concentrations in EBC from patients with asthma, COPD and healthy subjects. 33 SvOC were identified. 9 SvOC (2,3–dihydro-1-H-inden-1-on, ethyl citrate, decanol-1, 2-phenoxyethanol and others) have been deemed the most appropriate for solving recognition problem. Mathematical analysis of the available data enabled distinguishing healthy volunteers from the patients with asthma with reliability of 75%, healthy subjects from COPD patients – 85%, and asthma patients from COPD patients – 83%.
Conclusion: Metabolomic approach in EBC analysis help us to diagnose asthma and COPD.
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