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首页> 外文期刊>Mycopathologia >Analysis of volatile fingerprints for monitoring anti-fungal efficacy against the primary and opportunistic pathogen Aspergillus fumigatus.
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Analysis of volatile fingerprints for monitoring anti-fungal efficacy against the primary and opportunistic pathogen Aspergillus fumigatus.

机译：挥发性指纹图谱分析，以监测针对主要和机会病原体烟曲霉的抗真菌功效。

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The aims of this study were to use qualitative volatile fingerprints obtained using a hybrid sensor array system to screen anti-fungals for controlling the important lung infecting fungus, Aspergillus fumigatus, especially in immunocompromised patients. SIFT-MS was also used to try and identify key volatiles produced by A. fumigatus. Initial studies were carried out to identify the ED50 and ED90 (effective dose) for inhibiting growth of A. fumigatus using three anti-fungal compounds, benomyl, tebuconazole and fluconazole. Subsequent studies involved inoculation of malt extract agar plates with spores of A. fumigatus (25 and 37 degrees C) over periods of 24-72 h to examine the headspace volatile fingerprints generated from the sample treatments using the hybrid sensor array system to compare controls and ED50/ED90 concentrations. The sensor responses showed discrimination between treatments after 48-h incubation when benomyl and tebuconazole were used against A. fumigatus at 37 degrees C using Principal Components Analysis and Cluster Analysis. SIFT-MS analysis showed that methyl pentadiene, ethanol, isoprene and methanol were key biomarker volatiles produced by A. fumigatus in the presence of anti-fungal compounds. This may also be a good approach for the development of rapid screening of anti-microbial compounds and potentially useful for monitoring the possible build up of resistance to specific drug types. Volatile fingerprints produced by patient samples could also be used to evaluate whether lung infections are caused by bacteria or specific fungi to facilitate early diagnosis and enable the right drug treatment to be prescribed.
机译：这项研究的目的是使用通过混合传感器阵列系统获得的定性挥发性指纹来筛查抗真菌剂，以控制重要的肺部感染真菌烟曲霉，特别是在免疫功能低下的患者中。 SIFT-MS还用于尝试鉴定A产生的关键挥发物。烟熏。进行了初步研究以鉴定抑制 A生长的ED 50 和ED 90 （有效剂量）。使用三种抗真菌化合物苯菌灵，戊唑醇和氟康唑的烟熏。随后的研究包括用iA孢子接种麦芽提取物琼脂平板。烟（25和37摄氏度）在24-72小时内使用混合传感器阵列系统检查样品处理产生的顶空挥发性指纹，以比较对照和ED 50 / ED 90 浓度。当苯菌灵和戊唑醇用于抗A时，传感器反应显示48 h孵育后处理之间的区别。使用主成分分析和聚类分析在37摄氏度下进行烟熏。 SIFT-MS分析表明，甲基戊二烯，乙醇，异戊二烯和甲醇是A产生的关键生物标志物挥发物。防霉化合物存在下的烟熏。这也可能是开发快速筛选抗微生物化合物的一种好方法，并且可能对监测对特定药物类型的耐药性可能建立有用。患者样品产生的挥发性指纹也可用于评估肺部感染是由细菌还是特定真菌引起的，以利于早期诊断和制定正确的药物治疗方案。

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