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mSphere


Title:Pseudomonas aeruginosa Volatilome Characteristics and Adaptations in Chronic Cystic Fibrosis Lung Infections
Author(s):Davis TJ; Karanjia AV; Bhebhe CN; West SB; Richardson M; Bean HD;
Address:"School of Life Sciences, Arizona State University, Tempe, Arizona, USA. Center for Fundamental and Applied Microbiomics, The Biodesign Institute, Tempe, Arizona, USA. School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona, USA. Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK. NIHR Biomedical Research Centre (Respiratory Theme), Institute for Lung Health, Leicester, UK. School of Life Sciences, Arizona State University, Tempe, Arizona, USA Heather.D.Bean@asu.edu"
Journal Title:mSphere
Year:2020
Volume:20201007
Issue:5
Page Number: -
DOI: 10.1128/mSphere.00843-20
ISSN/ISBN:2379-5042 (Electronic) 2379-5042 (Linking)
Abstract:"Pseudomonas aeruginosa chronic lung infections in individuals with cystic fibrosis (CF) significantly reduce quality of life and increase morbidity and mortality. Tracking these infections is critical for monitoring patient health and informing treatments. We are working toward the development of novel breath-based biomarkers to track chronic P. aeruginosa lung infections in situ Using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GCxGC-TOF-MS), we characterized the in vitro volatile metabolomes ('volatilomes') of 81 P. aeruginosa isolates collected from 17 CF patients over at least a 5-year period of their chronic lung infections. We detected 539 volatiles produced by the P. aeruginosa isolates, 69 of which were core volatiles that were highly conserved. We found that each early infection isolate has a unique volatilome, and as infection progresses, the volatilomes of isolates from the same patient become increasingly dissimilar, to the point that these intrapatient isolates are no more similar to one another than to isolates from other patients. We observed that the size and chemical diversity of P. aeruginosa volatilomes do not change over the course of chronic infections; however, the relative abundances of core hydrocarbons, alcohols, and aldehydes do change and are correlated with changes in phenotypes associated with chronic infections. This study indicates that it may be feasible to track P. aeruginosa chronic lung infections by measuring changes to the infection volatilome and lays the groundwork for exploring the translatability of this approach to direct measurement using patient breath.IMPORTANCEPseudomonas aeruginosa is a leading cause of chronic lung infections in cystic fibrosis (CF), which are correlated with lung function decline. Significant clinical efforts are therefore aimed at detecting infections and tracking them for phenotypic changes, such as mucoidy and antibiotic resistance. Both the detection and tracking of lung infections rely on sputum cultures, but due to improvements in CF therapies, sputum production is declining, although risks for lung infections persist. Therefore, we are working toward the development of breath-based diagnostics for CF lung infections. In this study, we characterized of the volatile metabolomes of 81 P. aeruginosa clinical isolates collected from 17 CF patients over a duration of at least 5 years of a chronic lung infection. We found that the volatilome of P. aeruginosa adapts over time and is correlated with infection phenotype changes, suggesting that it may be possible to track chronic CF lung infections with a breath test"
Keywords:"*Adaptation, Physiological Biomarkers/analysis Chromatography, Gas Chronic Disease Cystic Fibrosis/*microbiology Humans Lung/*microbiology Mass Spectrometry Metabolome Phenotype Pseudomonas Infections/microbiology Pseudomonas aeruginosa/*metabolism Qualit;"
Notes:"MedlineDavis, Trenton J Karanjia, Ava V Bhebhe, Charity N West, Sarah B Richardson, Matthew Bean, Heather D eng P30 DK089507/DK/NIDDK NIH HHS/ R56 HL139846/HL/NHLBI NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't 2020/10/09 mSphere. 2020 Oct 7; 5(5):e00843-20. doi: 10.1128/mSphere.00843-20"

 
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
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