BACKGROUND: Asthma is a complex clinical disease characterized by airway inflammation. Recently, various studies reported on the analysis of exhaled breath condensate (EBC) in the search for potential biomarkers for asthma. However, in a complex disease such as asthma, one biomarker might not be enough for early diagnosis or follow-up. OBJECTIVE: The use of proteome analysis may reveal disease-specific proteolytic peptide or protein patterns, and may lead to the identification of novel proteins for the detection of asthma. METHODS: Liquid chromatography and mass spectrometry were used to separate and detect proteins (proteolytic peptides) present in EBC samples from 30 healthy children and 40 children with asthma in the age group of 6-12 years. RESULTS: Support vector machine analysis resulted in differentiating profiles based on asthma status. These proteolytic peptide patterns were not correlated to some well known (spirometry, exhaled nitric oxide) and more recently described exhaled markers (EBC pH, LTB₄). The more abundant proteins in EBC were identified as cytokeratins, albumin, actin, haemoglobin, lysozyme, dermcidin, and calgranulin B. CONCLUSION: Although the exact role in the disease development or physiological state of the airways of the proteins described in the presented pattern is not clear at this moment, this is an important step in the search for exhaled biomarkers for asthma. This study shows that EBC contains proteins that are of interest for future non-invasive asthma diagnosis or follow-up.
BACKGROUND:Asthma is a complex clinical disease characterized by airway inflammation. Recently, various studies reported on the analysis of exhaled breath condensate (EBC) in the search for potential biomarkers for asthma. However, in a complex disease such as asthma, one biomarker might not be enough for early diagnosis or follow-up. OBJECTIVE: The use of proteome analysis may reveal disease-specific proteolytic peptide or protein patterns, and may lead to the identification of novel proteins for the detection of asthma. METHODS: Liquid chromatography and mass spectrometry were used to separate and detect proteins (proteolytic peptides) present in EBC samples from 30 healthy children and 40 children with asthma in the age group of 6-12 years. RESULTS: Support vector machine analysis resulted in differentiating profiles based on asthma status. These proteolytic peptide patterns were not correlated to some well known (spirometry, exhaled nitric oxide) and more recently described exhaled markers (EBC pH, LTB₄). The more abundant proteins in EBC were identified as cytokeratins, albumin, actin, haemoglobin, lysozyme, dermcidin, and calgranulin B. CONCLUSION: Although the exact role in the disease development or physiological state of the airways of the proteins described in the presented pattern is not clear at this moment, this is an important step in the search for exhaled biomarkers for asthma. This study shows that EBC contains proteins that are of interest for future non-invasive asthma diagnosis or follow-up.
Authors: Michelle M Cloutier; Alan P Baptist; Kathryn V Blake; Edward G Brooks; Tyra Bryant-Stephens; Emily DiMango; Anne E Dixon; Kurtis S Elward; Tina Hartert; Jerry A Krishnan; Robert F Lemanske; Daniel R Ouellette; Wilson D Pace; Michael Schatz; Neil S Skolnik; James W Stout; Stephen J Teach; Craig A Umscheid; Colin G Walsh Journal: J Allergy Clin Immunol Date: 2020-12 Impact factor: 10.793
Authors: Marina Mikhaylova; Anne Schumacher; Corinna Borutzki; Janine R Neumann; Tamar Macharadze; Tarek El-Mousleh; Petra Wahle; Ana C Zenclussen; Michael R Kreutz Journal: BMC Res Notes Date: 2014-06-26