Identification of Exhaled Metabolites Correlated with Respiratory Function and Clinical Features in Adult Patients with Cystic Fibrosis by Real-Time Proton Mass Spectrometry
Malika Mustafina,
Artemiy Silantyev,
Stanislav Krasovskiy,
Alexander Chernyak,
Zhanna Naumenko,
Aleksandr Suvorov,
Daria Gognieva,
Magomed Abdullaev,
Olga Suvorova,
Anna Schmidt,
Aida Gadzhiakhmedova,
Aleksandra Bykova,
Sergey Avdeev,
Vladimir Betelin,
Abram Syrkin,
Philipp Kopylov
Affiliations
Malika Mustafina
Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Artemiy Silantyev
World-Class Research Center “Digital Biodesign and Personalized Healthcare”, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Stanislav Krasovskiy
Pulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia
Alexander Chernyak
Pulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia
Zhanna Naumenko
Pulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia
Aleksandr Suvorov
World-Class Research Center “Digital Biodesign and Personalized Healthcare”, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Daria Gognieva
Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Magomed Abdullaev
Research Institute for Systemic Analysis of the Russian Academy of Sciences, Moscow 117218, Russia
Olga Suvorova
Pulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Anna Schmidt
Pulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Aida Gadzhiakhmedova
World-Class Research Center “Digital Biodesign and Personalized Healthcare”, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Aleksandra Bykova
Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Sergey Avdeev
Pulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia
Vladimir Betelin
Research Institute for Systemic Analysis of the Russian Academy of Sciences, Moscow 117218, Russia
Abram Syrkin
Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Philipp Kopylov
Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia
Cystic fibrosis (CF) is a hereditary disease characterized by the progression of respiratory disorders, especially in adult patients. The purpose of the study was to identify volatile organic compounds (VOCs) as predictors of respiratory dysfunction, chronic respiratory infections of Staphylococcus aureus, Pseudomonas aeruginosa, Burkholderia cepacia, and VOCs associated with severe genotype and highly effective modulator treatment (HEMT). Exhaled breath samples from 102 adults with CF were analyzed using PTR-TOF-MS, obtained during a forced expiratory maneuver and normal quiet breathing. Using cross-validation and building gradient boosting classifiers (XGBoost), the importance of VOCs for functional and clinical outcomes was determined. The presence of the previously identified VOCs indole, phenol, and dimethyl sulfide were metabolic outcomes associated with impaired respiratory function. New VOCs associated with respiratory disorders were methyl acetate, carbamic acid, 1,3-Pentadiene, and 2,3-dimethyl-2-butene; VOCs associated with the above mentioned respiratory pathogens were non-differentiable nitrogen-containing organic compounds m/z = 47.041 (CH5NO)+ and m/z = 44.044 (C2H5NH+), hydrocarbons (cyclopropane, propene) and methanethiol; and VOCs associated with severe CFTR genotype were non-differentiable VOC m/z = 281.053. No significant features associated with the use of HEMT were identified. Early non-invasive determination of VOCs as biomarkers of the severity of CF and specific pathogenic respiratory flora could make it possible to prescribe adequate therapy and assess the prognosis of the disease. However, further larger standardized studies are needed for clinical use.