School of Engineering, University of Vermont, Burlington, VT 05405, USA.
J Breath Res. 2013 Mar;7(1):016003. doi: 10.1088/1752-7155/7/1/016003. Epub 2013 Jan 10.
The identification of bacteria by their volatilomes is of interest to many scientists and clinicians as it holds the promise of diagnosing infections in situ, particularly lung infections via breath analysis. While there are many studies reporting various bacterial volatile biomarkers or fingerprints using in vitro experiments, it has proven difficult to translate these data to in vivo breath analyses. Therefore, we aimed to create secondary electrospray ionization-mass spectrometry (SESI-MS) pathogen fingerprints directly from the breath of mice with lung infections. In this study we demonstrated that SESI-MS is capable of differentiating infected versus uninfected mice, P. aeruginosa-infected versus S. aureus-infected mice, as well as distinguish between infections caused by P. aeruginosa strains PAO1 versus FRD1, with statistical significance (p < 0.05). In addition, we compared in vitro and in vivo volatiles and observed that only 25-34% of peaks are shared between the in vitro and in vivo SESI-MS fingerprints. To the best of our knowledge, these are the first breath volatiles measured for P. aeruginosa PAO1, FRD1, and S. aureus RN450, and the first comparison of in vivo and in vitro volatile profiles from the same strains using the murine infection model.
通过其挥发物组学来鉴定细菌引起了许多科学家和临床医生的兴趣，因为它有望在原位诊断感染，特别是通过呼吸分析诊断肺部感染。虽然有许多研究报告了使用体外实验的各种细菌挥发性生物标志物或指纹，但将这些数据转化为体内呼吸分析一直具有挑战性。因此，我们旨在直接从肺部感染的小鼠的呼吸中创建二次电喷雾电离 - 质谱（SESI-MS）病原体指纹。在这项研究中，我们证明了 SESI-MS 能够区分感染与未感染的小鼠、铜绿假单胞菌感染与金黄色葡萄球菌感染的小鼠，以及区分 PAO1 与 FRD1 引起的感染，具有统计学意义（p < 0.05）。此外，我们比较了体外和体内的挥发性物质，观察到只有 25-34%的峰在体外和体内 SESI-MS 指纹之间共享。据我们所知，这些是首次测量铜绿假单胞菌 PAO1、FRD1 和金黄色葡萄球菌 RN450 的呼吸挥发性物质，也是首次使用小鼠感染模型比较相同菌株的体内和体外挥发性谱。
