BACKGROUND: The analysis of exhaled breath condensate (EBC) can be an alternative to traditional endoscopic sampling of lower respiratory tract secretions. This is a simple non-invasive method of diagnosing respiratory diseases, in particular, respiratory inflammatory processes. METHODS: Samples were collected with a special device-condenser (ECoScreen, VIASYS Healthcare, Germany), then treated with trypsin according to the proteomics protocol for standard protein mixtures and analyzed by nanoflow high-performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) with a 7-Tesla Finnigan LTQ-FT mass spectrometer (Thermo Electron, Germany). Mascot software (Matrixscience) was used for screening the database NCBInr for proteins corresponding to the peptide maps that were obtained. RESULTS: EBCs from 17 young healthy non-smoking donors were collected. Different methods for concentrating protein were compared in order to optimize EBC preparations for proteomic analysis. The procedure that was chosen allowed identification of proteins exhaled by healthy people. The major proteins in the condensates were cytoskeletal keratins. Another 12 proteins were identified in EBC from healthy non-smokers. Some keratins were found in the ambient air and may be considered exogenous components of exhaled air. CONCLUSIONS: Knowledge of the normal proteome of exhaled breath allows one to look for biomarkers of different disease states in EBC. Proteins in ambient air can be identified in the respiratory tract and should be excluded from the analysis of the proteome of EBC. The results obtained allowed us to choose the most effective procedure of sample preparation when working with samples containing very low protein concentrations.
BACKGROUND: The analysis of exhaled breath condensate (EBC) can be an alternative to traditional endoscopic sampling of lower respiratory tract secretions. This is a simple non-invasive method of diagnosing respiratory diseases, in particular, respiratory inflammatory processes. METHODS: Samples were collected with a special device-condenser (ECoScreen, VIASYS Healthcare, Germany), then treated with trypsin according to the proteomics protocol for standard protein mixtures and analyzed by nanoflow high-performance liquid chromatography tandem mass spectrometry (HPLC-MS/MS) with a 7-Tesla Finnigan LTQ-FT mass spectrometer (Thermo Electron, Germany). Mascot software (Matrixscience) was used for screening the database NCBInr for proteins corresponding to the peptide maps that were obtained. RESULTS: EBCs from 17 young healthy non-smoking donors were collected. Different methods for concentrating protein were compared in order to optimize EBC preparations for proteomic analysis. The procedure that was chosen allowed identification of proteins exhaled by healthy people. The major proteins in the condensates were cytoskeletal keratins. Another 12 proteins were identified in EBC from healthy non-smokers. Some keratins were found in the ambient air and may be considered exogenous components of exhaled air. CONCLUSIONS: Knowledge of the normal proteome of exhaled breath allows one to look for biomarkers of different disease states in EBC. Proteins in ambient air can be identified in the respiratory tract and should be excluded from the analysis of the proteome of EBC. The results obtained allowed us to choose the most effective procedure of sample preparation when working with samples containing very low protein concentrations.
Authors: J Brennan McNeil; Ciara M Shaver; V Eric Kerchberger; Derek W Russell; Brandon S Grove; Melissa A Warren; Nancy E Wickersham; Lorraine B Ware; W Hayes McDonald; Julie A Bastarache Journal: Am J Respir Crit Care Med Date: 2018-04-15 Impact factor: 21.405
Authors: Mohamed Hassanein; J Clay Callison; Carol Callaway-Lane; Melinda C Aldrich; Eric L Grogan; Pierre P Massion Journal: Cancer Prev Res (Phila) Date: 2012-06-11
Authors: Simona Viglio; Jan Stolk; Paolo Iadarola; Serena Giuliano; Maurizio Luisetti; Roberta Salvini; Marco Fumagalli; Anna Bardoni Journal: Proteomes Date: 2014-01-22
Authors: Alexey S Kononikhin; Alexander G Brzhozovskiy; Anna M Ryabokon; Kristina Fedorchenko; Natalia V Zhakharova; Alexander I Spasskii; Igor A Popov; Vyacheslav K Ilyin; Zoya O Solovyova; Lyudmila Kh Pastushkova; Alexey V Polyakov; Sergey D Varfolomeev; Irina M Larina; Evgeny N Nikolaev Journal: Int J Mol Sci Date: 2019-09-12 Impact factor: 5.923