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首页> 外文期刊>Journal of breath research >Identification of Pseudomonas aeruginosa and Aspergillus fumigatus mono- and co-cultures based on volatile biomarker combinations
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Identification of Pseudomonas aeruginosa and Aspergillus fumigatus mono- and co-cultures based on volatile biomarker combinations

机译：基于挥发性生物标志物组合鉴定铜绿假单胞菌和烟曲霉单培养和共培养

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Volatile organic compound (VOC) analysis in exhaled breath is proposed as a non-invasive method to detect respiratory infections in cystic fibrosis patients. Since polymicrobial infections are common, we assessed whether we could distinguish Pseudomonas aeruginosa and Aspergillus fumigatus mono-and co-cultures using the VOC emissions. We took headspace samples of P. aeruginosa, A. fumigatus and co-cultures at 16, 24 and 48 h after inoculation, in which VOCs were identified by thermal desorption combined with gas chromatography - mass spectrometry. Using multivariate analysis by Partial Least Squares Discriminant Analysis we found distinct VOC biomarker combinations for mono-and co-cultures at each sampling time point, showing that there is an interaction between the two pathogens, with P. aeruginosa dominating the co-culture at 48 h. Furthermore, time-independent VOC biomarker combinations were also obtained to predict correct identification of P. aeruginosa and A. fumigatus in mono-culture and in co-culture. This study shows that the VOC combinations in P. aeruginosa and A. fumigatus co-microbial environment are different from those released by these pathogens in mono-culture. Using advanced data analysis techniques such as PLS-DA, time-independent pathogen specific biomarker combinations can be generated that may help to detect mixed respiratory infections in exhaled breath of cystic fibrosis patients.
机译：呼出气中的挥发性有机化合物（VOC）分析被认为是检测囊性纤维化患者呼吸道感染的一种非侵入性方法。由于多微生物感染很常见，因此我们评估了是否可以使用VOC排放来区分铜绿假单胞菌和烟曲霉单培养和共培养。接种后16、24和48小时，我们采集了铜绿假单胞菌，烟曲霉和共培养物的顶空样品，其中通过热脱附结合气相色谱-质谱法鉴定了VOC。使用偏最小二乘判别分析进行的多元分析，我们发现在每个采样时间点，单培养和共培养物都有独特的VOC生物标志物组合，表明两种病原体之间存在相互作用，铜绿假单胞菌在第48位主导共培养物H。此外，还获得了时间独立的VOC生物标记组合，以预测在单培养和共培养中正确鉴定铜绿假单胞菌和烟曲霉。这项研究表明，铜绿假单胞菌和烟曲霉共微生物环境中的VOC组合与这些病原体在单一培养中释放的VOC组合不同。使用PLS-DA等先进的数据分析技术，可以生成与时间无关的病原体特异性生物标志物组合，这可能有助于检测囊性纤维化患者呼出气中的混合呼吸道感染。

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