Comparative Metabolomic Sampling of Upper and Lower Airways by Four Different Methods to Identify Biochemicals That May Support Bacterial Growth
Comparative Metabolomic Sampling of Upper and Lower Airways by Four Different Methods to Identify Biochemicals That May Support Bacterial Growth
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DOI：
10.3389/fcimb.2018.00432
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发表时间：
2018-12-18
影响因子：
5.7
通讯作者：
Tregoning, John S.
中科院分区：
文献类型：
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作者：
Farne, Hugo;Groves, Helen T.;Tregoning, John S.
细菌需要宿主环境中的营养物质才能生存，但我们对气道中存在哪些生化物质（代谢组）知之甚少，这些生化物质中哪些是细菌生长所必需的，以及它们如何随着气道疾病而变化。本初步研究的目的是开发和比较上、下气道代谢组取样的方法，并确定气道中存在的可能支持细菌生长的生化物质。通过四种方法对8名健康志愿者进行采样：两种标准方法-鼻灌洗和诱导痰，两种使用新型平台-合成吸附基质（SAM）条-鼻吸收和支气管吸收。采用超高效液相色谱-串联质谱（UPLC-MS/MS）对样品进行分析。从气道中回收了属于一系列代谢组学超级途径的581种生化物质。我们观察到采样方法之间存在显著差异。与标准取样技术相比，使用SAM条回收的生化物质明显更多。在不同的样品中检测到一系列可以支持细菌生长的生物化学物质。这项工作首次证明了SAM条带是一种非常有效的气道代谢组采样方法。这项工作将有助于进一步研究了解气道代谢组的变化如何影响潜在气道疾病患者的细菌感染。
Bacteria need nutrients from the host environment to survive, yet we know little about which biochemicals are present in the airways (the metabolome), which of these biochemicals are essential for bacterial growth and how they change with airway disease. The aims of this pilot study were to develop and comparemethodologies for sampling the upper and lower airway metabolomes and to identify biochemicals present in the airways that could potentially support bacterial growth. Eight healthy human volunteers were sampled by fourmethods: two standard approaches - nasal lavage and induced sputum, and two using a novel platform, synthetic adsorptive matrix (SAM) strips-nasosorption and bronchosorption. Collected samples were analyzed by Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS/MS). Five hundred and eighty-one biochemicals were recovered from the airways belonging to a range of metabolomic super-pathways. We observed significant differences between the sampling approaches. Significantly more biochemicals were recovered when SAM strips were used, compared to standard sampling techniques. A range of biochemicals that could support bacterial growth were detected in the different samples. This work demonstrates for the first time that SAM strips are a highly effective method for sampling the airway metabolome. This work will assist further studies to understand how changes in the airway metabolome affect bacterial infection in patients with underlying airway disease.