Nevertheless, encouraging results were already reported, showing

Nevertheless, encouraging results were already reported, showing that some microorganisms have their own expression patterns of enzymes, producing a characteristic range of volatile metabolites [18–21]. This prompted us to further develop exhaled breath analysis for the diagnosis of bacterial lung infections [22, 23]. Although changes in the VOC patterns in breath have not been Go6983 price extensively investigated so far, detection of bacterial infections by exhaled air analysis has been proposed by sensor technology [24, 25]. This

approach is still in its infancy and often under critical review due to the use of complex mathematical pattern recognition instead of clear identification of specific VOCs. Sensor systems such as the electronic nose systems (EN) are often unspecific and do generate a pattern of responses for the sensors. Neuronal network algorithms or principal component analyses are applied and have been used in separating training groups with known disease. Testing for unknown ABT-737 ic50 samples has not been very successful yet [24,

25]. Much more convincing results were obtained by Scott-Thomas et al. [26], where 2-aminoacetophenone (2-AA) was measured by gas chromatography mass spectrometry (GC-MS) in cystic fibrosis patients (CF) as volatile biomarker produced by P. aeruginosa, which was also confirmed by other researchers [27–30]. Significantly higher levels of 2-aminoacetophenone were found in exhaled breath of cystic fibrosis patients colonized with P. aeruginosa while the concentration of this metabolite was below the detection limit in both control groups (healthy eFT-508 molecular weight subjects and CF patients colonized with other bacteria species). Encouraging results were obtained in other studies, where specific volatile biomarkers of Aspergillus spp. were detected in exhaled breath of tuberculosis patients colonized with Mycobacterium tuberculosis cells [21, 31–34]. The aim of this study is to characterize the release or consumption

of VOCs by S. aureus Arachidonate 15-lipoxygenase and P. aeruginosa. Headspace samples from cultures of both pathogens were collected and preconcentrated on multibed sorption tubes and analyzed by GC-MS. Sampling was done under strictly controlled ventilation conditions at several time points to follow the dynamic changes in temporal VOC concentration profiles. Results GC-MS analysis The initial amount of cells in the fermenters amounted to 4.04 × 105 ± 2.75 × 105 colony forming units (CFUs*ml-1) for S. aureus (n = 5) and 2.2 × 106 ±5.1 × 105 CFUs*ml-1 for P. aeruginosa (n = 7). The average cell densities and ODs at 600 nm are presented in Table 1. For both tested species all headspace samples were collected within the logarithmic phase of microbial proliferation. Importantly, bronchoalveolar lavage (BAL) studies have typically used a diagnostic threshold of 104 or 105 CFU/ml to define both the presence of pneumonia and the etiologic pathogen [35].

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