Department of Microbiology, Immunology and Pathology, Colorado State University, Campus Delivery 1682, Fort Collins, Colorado 80523-1682, United States.
J Proteome Res. 2012 Oct 5;11(10):4873-84. doi: 10.1021/pr300345x. Epub 2012 Aug 30.
With the understanding that the laboratory propagated strain of Mycobacterium tuberculosis H37Rv is of modest virulence and is drug susceptible, in the present study, we performed a nuclear magnetic resonance-based metabolomic analysis of lung tissues and serum obtained from guinea pigs infected by low dose aerosol exposure to clinical isolates of Mycobacterium tuberculosis. High Resolution Magic Angle Spinning NMR coupled with multivariate statistical analysis of 159 lung tissues obtained from multiple locations of age-matched naïve and 30 and 60 days of infected guinea pig lungs revealed a wide dispersal of metabolic patterns, but within these, distinct clusters of signatures could be seen that differentiated between naive control and infected animals. Several metabolites were identified that changed in concert with the progression of each infection. Major metabolites that could be interpreted as indicating host glutaminolysis were consistent with activated host immune cells encountering increasingly hypoxic conditions in the necrotic lung lesions. Moreover, glutathione levels were constantly elevated, probably in response to oxygen radical production in these lesions. Additional distinct signatures were also seen in infected serum, with altered levels of several metabolites. Multivariate statistical analysis clearly differentiated the infected from the uninfected sera; in addition, Receiver Operator Characteristic curve generated with principal component 1 scores showed an area under the curve of 0.908. These data raise optimism that discrete metabolomic signatures can be defined that can predict the progression of the tuberculosis disease process, and form the basis of an innovative and rapid diagnostic process.
已知实验室繁殖的结核分枝杆菌 H37Rv 株毒力适中且对药物敏感,在本研究中,我们对低剂量气溶胶暴露于临床分离结核分枝杆菌的豚鼠肺组织和血清进行了基于核磁共振的代谢组学分析。高分辨魔角旋转 NMR 与多元统计分析相结合,对来自年龄匹配的未感染和感染 30 天和 60 天的豚鼠肺组织的 159 个部位进行了分析,结果显示代谢模式广泛分散,但在这些模式中,可以看到明显的特征簇,可将未感染的对照动物与感染动物区分开来。鉴定出一些与每个感染过程的进展一致变化的代谢物。可以解释为指示宿主谷氨酰胺分解的主要代谢物与遇到坏死肺病变中缺氧条件的激活宿主免疫细胞一致。此外,谷胱甘肽水平持续升高,可能是对这些病变中氧自由基产生的反应。在感染的血清中还观察到其他不同的特征,几种代谢物的水平发生改变。多元统计分析清楚地区分了感染和未感染的血清;此外,用主成分 1 得分生成的接收者操作特征曲线显示曲线下面积为 0.908。这些数据令人乐观地认为,可以定义离散的代谢组学特征,这些特征可以预测结核病进展过程,并为创新和快速诊断过程奠定基础。