Development of an integrated metabolomic profiling approach for infectious diseases research.
Development of an integrated metabolomic profiling approach for infectious diseases research.
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DOI：
10.1039/c1an15590c
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发表时间：
2011-11-21
期刊：
影响因子：
--
通讯作者：
Henderson JP
中科院分区：
文献类型：
--
作者：
Lv H;Hung CS;Chaturvedi KS;Hooton TM;Henderson JP
代谢组学分析可直接深入了解人类疾病部位的化学环境和代谢途径活动。在感染期间，这种环境可能同时受到宿主和病原体的重要影响。在此，我们应用非靶向代谢组学方法来鉴定与大肠杆菌尿路感染人群相关的化合物。使用一个能够解析约2300个分子特征的优化液相色谱 - 质谱联用（LC - MS）平台，从最少处理的样本中获取了相关性和结构数据。主成分分析很容易区分患者群体，并且多种有监督的化学计量分析解决了群体之间显著的代谢组学变化。这些分析揭示了九种化合物，其初步结构表明可能存在与感染相关的内分泌、分解代谢和脂质途径。其中一些代谢物特征可能源于宿主代谢物的微生物加工过程。总体而言，这项研究强调了代谢组学方法能够直接鉴定人类宿主体内细菌病原体所接触到的以及由其产生的化合物。
Metabolomic profiling offers direct insights into the chemical environment and metabolic pathway activities at sites of human disease. During infection, this environment may receive important contributions from both host and pathogen. Here we apply untargeted metabolomics approach to identify compounds associated with an E. coli urinary tract infection population. Correlative and structural data from minimally processed samples were obtained using an optimized LC-MS platform capable of resolving ∼2300 molecular features. Principal components analysis readily distinguished patient groups and multiple supervised chemometric analyses resolved robust metabolomic shifts between groups. These analyses revealed nine compounds whose provisional structures suggest candidate infection-associated endocrine, catabolic, and lipid pathways. Several of these metabolite signatures may derive from microbial processing of host metabolites. Overall, this study highlights the ability of metabolomic approaches to directly identify compounds encountered by, and produced from, bacterial pathogens within human hosts.
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影响因子：
6.7
作者：
Henderson, Jeffrey P.;Crowley, Jan R.;Pinkner, Jerome S.;Walker, Jennifer N.;Tsukayama, Pablo;Stamm, Walter E.;Hooton, Thomas M.;Hultgren, Scott J.
通讯作者：
Hultgren, Scott J.
影响因子：
64.8
作者：
Sreekumar, Arun;Poisson, Laila M.;Rajendiran, Thekkelnaycke M.;Khan, Amjad P.;Cao, Qi;Yu, Jindan;Laxman, Bharathi;Mehra, Rohit;Lonigro, Robert J.;Li, Yong;Nyati, Mukesh K.;Ahsan, Aarif;Kalyana-Sundaram, Shanker;Han, Bo;Cao, Xuhong;Byun, Jaeman;Omenn, Gilbert S.;Ghosh, Debashis;Pennathur, Subramaniam;Alexander, Danny C.;Berger, Alvin;Shuster, Jeffrey R.;Wei, John T.;Varambally, Sooryanarayana;Beecher, Christopher;Chinnaiyan, Arul M.
通讯作者：
Chinnaiyan, Arul M.
影响因子：
7
作者：
Kim, Kyoungmi;Aronov, Pavel;Weiss, Robert H.
通讯作者：
Weiss, Robert H.
影响因子：
3.9
作者：
Bhattacharjee, S;Pennathur, S;Heinecke, JW
通讯作者：
Heinecke, JW
影响因子：
9.5
作者：
Aittokallio, Tero;Schwikowski, Benno
通讯作者：
Schwikowski, Benno