University of Vermont, School of Engineering, 33 Colchester Avenue, Burlington, VT 05405-0156, USA.
J Clin Microbiol. 2010 Dec;48(12):4426-31. doi: 10.1128/JCM.00392-10. Epub 2010 Oct 20.
We propose a novel application of secondary electrospray ionization-mass spectrometry (SESI-MS) as a real-time clinical diagnostic tool for bacterial infection. It is known that volatile organic compounds (VOCs), produced in different combinations and quantities by bacteria as metabolites, generate characteristic odors for certain bacteria. These VOCs comprise a specific metabolic profile that can be used for species or serovar identification, but rapid and sensitive analytical methods are required for broad utility. In this study, the VOC profiles of five bacterial groups from four genera, Pseudomonas aeruginosa, Staphylococcus aureus, Escherichia coli, Salmonella enterica serovar Typhimurium, and Salmonella enterica serovar Pullorum, were characterized by SESI-MS. Thirteen compounds were identified from these bacterial cultures, and the combination of these VOCs creates a unique pattern for each genus. In addition, principal component analysis (PCA) was applied for the purpose of species or serovar discrimination. The first three principal components exhibit a clear separation between the metabolic volatile profiles of these five bacterial groups that is independent of the growth medium. As a first step toward addressing the complexity of clinical application, in vitro tests for mixed cultures were conducted. The results show that individual species or serovars in a mixed culture are identifiable among a biological VOC background, and the ratios of the detected volatiles reflect the proportion of each bacterium in the mixture. Our data confirm the utility of SESI-MS in real-time identification of bacterial species or serovars in vitro, which, in the future, may play a promising clinical role in diagnosing infections.
我们提出了二次电喷雾电离-质谱(SESI-MS)的新应用,将其作为一种实时临床诊断细菌感染的工具。众所周知,挥发性有机化合物(VOCs)是细菌作为代谢物产生的不同组合和数量的化合物,会为某些细菌产生特征气味。这些 VOCs 构成了特定的代谢特征,可以用于物种或血清型鉴定,但需要快速和敏感的分析方法才能广泛应用。在这项研究中,我们通过 SESI-MS 对来自四个属的五个细菌群的挥发性有机化合物(VOC)图谱进行了研究。从这些细菌培养物中鉴定出了 13 种化合物,这些 VOC 的组合为每个属创造了独特的模式。此外,我们还应用主成分分析(PCA)来进行物种或血清型的区分。前三个主成分在这五个细菌群的代谢挥发性图谱之间表现出明显的分离,与生长培养基无关。作为解决临床应用复杂性的第一步,我们进行了混合培养物的体外测试。结果表明,混合培养物中的单个物种或血清型可以在生物 VOC 背景下识别出来,并且检测到的挥发性物质的比例反映了混合物中每种细菌的比例。我们的数据证实了 SESI-MS 在实时鉴定细菌物种或血清型方面的实用性,这在未来可能在诊断感染方面发挥有前景的临床作用。