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Real-time exhaled breath analysis in patients with cystic fibrosis and controls
被引:24
|作者:
Gaisl, Thomas
[1
]
Bregy, Lukas
[2
]
Stebler, Nina
[1
]
Gaugg, Martin T.
[2
]
Bruderer, Tobias
[2
]
Garcia-Gomez, Diego
[2
]
Moeller, Alexander
[3
]
Singer, Florian
[3
]
Schwarz, Esther I.
[1
]
Benden, Christian
[1
]
Sinues, Pablo M-L
[2
,4
,5
]
Zenobi, Renato
[2
]
Kohler, Malcolm
[1
,6
]
机构:
[1] Univ Hosp Zurich, Dept Pulmonol, Zurich, Switzerland
[2] Swiss Fed Inst Technol, Dept Chem & Appl Biosci, Zurich, Switzerland
[3] Univ Childrens Hosp Zurich, Div Pulmonol, Zurich, Switzerland
[4] Univ Basel, Dept Biomed Engn, Allschwil, Switzerland
[5] Univ Childrens Hosp Basel, Basel, Switzerland
[6] Univ Zurich, Ctr Integrat Human Physiol, Zurich, Switzerland
基金:
瑞士国家科学基金会;
关键词:
SESI-HRMS;
mass spectrometry;
cystic fibrosis;
real-time analysis;
VOLATILE ORGANIC-COMPOUNDS;
ELECTROSPRAY-IONIZATION;
PSEUDOMONAS-AERUGINOSA;
MASS-SPECTROMETRY;
RECOMMENDATIONS;
QUANTIFICATION;
ABNORMALITIES;
EXACERBATION;
CHILDREN;
THERAPY;
D O I:
10.1088/1752-7163/aab7fd
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
We aimed at defining profiles of volatile organic compounds in exhaled breath from patients with cystic fibrosis (CF) using a novel real-time mass spectrometry technique. In this prospective matched case-control study, 30 patients with CF, and 30 healthy control subjects were matched one-to-one according to age, gender, and smoking state. We performed exhaled breath analysis by untargeted secondary electrospray ionization-high resolution mass spectrometry (SESI-HRMS). Patients with CF (mean age 26.0 +/- 13.0 years) and controls (mean age 27.9 +/- 14.0 years) were analyzed using SESI-HRMS. 49 exhaled breath features were found to be altered (p-value < 0.05/q-value < 0.1) in CF patients, in comparison to healthy controls. The two most discriminating features showed a prediction AUROC of 77.1% (95% CI 62.2%-87.8%) with a specificity of 80.0% and a sensitivity of 63.3%. Levels of oxidative stress metabolites such as fatty acids were found to differ significantly between patients with CF and healthy controls. Furthermore, in patients with CF, 11 features correlated with the mucus concentration of Stenotrophomonas maltophilia bacteria. Exhaled breath analysis with SESI-HRMS allows the identification of CF specific compounds in real-time and may trace bacterial strains in affected patients with CF.
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