Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update.

Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update.
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DOI:
10.1186/gm337
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发表时间:
2012-04-30
期刊:
影响因子:
12.3
通讯作者:
Wishart DS
Wishart DS
中科院分区:
生物学1区
文献类型:
--
作者:
Mandal R;Guo AC;Chaudhary KK;Liu P;Yallou FS;Dong E;Aziat F;Wishart DS

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众所周知,人脑脊髓液 (CSF) 是神经系统和神经退行性疾病小分子生物标志物的丰富来源。 2007年,我们进行了一项全面的代谢组学研究,并对脑脊液中可检测到的代谢物(通过代谢组学或其他技术)进行了详细的文献综述。总共鉴定出 308 种可检测的代谢物,其中只有 23% 被证明可以用当时可用的代谢组学技术常规识别或定量。分析技术的不断进步以及对脑脊液代谢组学日益增长的兴趣促使我们重新审视人类脑脊液代谢组,并重新评估其规模和覆盖水平,而不是当今技术所能达到的水平。我们使用核磁共振(NMR)、气相色谱-质谱(GC-MS)、液相色谱-质谱(LC-MS)、直流注射质谱(DFI-MS/MS)和电感耦合等离子体质谱(ICP-MS)等五个分析平台对多个人脑脊液样本进行定量代谢组学。这项实验工作辅以广泛的文献综述,以获取有关报告的脑脊液化合物、其浓度及其疾病关联的更多信息。 NMR、GC-MS 和 LC-MS 方法可以对 70 种 CSF 代谢物进行鉴定和定量(如之前报道的)。 DFI-MS/MS 可对 78 种代谢物(6 种酰基肉碱、13 种氨基酸、己糖、42 种磷脂酰胆碱、2 种溶血磷脂酰胆碱和 14 种鞘脂)进行定量,而 ICP-MS 则可对 CSF 中 33 种金属离子进行定量。文献分析导致鉴定出另外 57 种代谢物。目前已确认人类脑脊液中总共存在 476 种化合物。过去 5 年中,改进的代谢组学和其他分析技术的使用使人类脑脊液代谢组的已知大小增加了 54%。常用的代谢组学方法结合起来,现在可以常规地识别和量化 36% 的“可检测”人类 CSF 代谢组。我们的实验工作测量了 78 种新的代谢物,据我们所知,这些代谢物尚未被报道存在于人类脑脊液中。更新的 CSF 代谢组数据库包含完整的 476 种人类 CSF 化合物、其浓度、相关文献参考文献以及其已知疾病关联的链接,可在 CSF 代谢组数据库中免费获取。
Human cerebral spinal fluid (CSF) is known to be a rich source of small molecule biomarkers for neurological and neurodegenerative diseases. In 2007, we conducted a comprehensive metabolomic study and performed a detailed literature review on metabolites that could be detected (via metabolomics or other techniques) in CSF. A total of 308 detectable metabolites were identified, of which only 23% were shown to be routinely identifiable or quantifiable with the metabolomics technologies available at that time. The continuing advancement in analytical technologies along with the growing interest in CSF metabolomics has led us to re-visit the human CSF metabolome and to re-assess both its size and the level of coverage than can be achieved with today's technologies. We used five analytical platforms, including nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), direct flow injection-mass spectrometry (DFI-MS/MS) and inductively coupled plasma-mass spectrometry (ICP-MS) to perform quantitative metabolomics on multiple human CSF samples. This experimental work was complemented with an extensive literature review to acquire additional information on reported CSF compounds, their concentrations and their disease associations. NMR, GC-MS and LC-MS methods allowed the identification and quantification of 70 CSF metabolites (as previously reported). DFI-MS/MS allowed the quantification of 78 metabolites (6 acylcarnitines, 13 amino acids, hexose, 42 phosphatidylcholines, 2 lyso-phosphatidylcholines and 14 sphingolipids), while ICP-MS provided quantitative results for 33 metal ions in CSF. Literature analysis led to the identification of 57 more metabolites. In total, 476 compounds have now been confirmed to exist in human CSF. The use of improved metabolomic and other analytical techniques has led to a 54% increase in the known size of the human CSF metabolome over the past 5 years. Commonly available metabolomic methods, when combined, can now routinely identify and quantify 36% of the 'detectable' human CSF metabolome. Our experimental works measured 78 new metabolites that, as per our knowledge, have not been reported to be present in human CSF. An updated CSF metabolome database containing the complete set of 476 human CSF compounds, their concentrations, related literature references and links to their known disease associations is freely available at the CSF metabolome database.
DOI: 10.1093/nar/gkn810
发表时间: 2009-01
影响因子: 14.9
作者:
Wishart DS;Knox C;Guo AC;Eisner R;Young N;Gautam B;Hau DD;Psychogios N;Dong E;Bouatra S;Mandal R;Sinelnikov I;Xia J;Jia L;Cruz JA;Lim E;Sobsey CA;Shrivastava S;Huang P;Liu P;Fang L;Peng J;Fradette R;Cheng D;Tzur D;Clements M;Lewis A;De Souza A;Zuniga A;Dawe M;Xiong Y;Clive D;Greiner R;Nazyrova A;Shaykhutdinov R;Li L;Vogel HJ;Forsythe I
通讯作者: Forsythe I
HMDB:人类代谢组数据库。
DOI: 10.1093/nar/gkl923
发表时间: 2007-01
影响因子: 14.9
作者:
Wishart, David S;Tzur, Dan;Knox, Craig;Eisner, Roman;Guo, An Chi;Young, Nelson;Cheng, Dean;Jewell, Kevin;Arndt, David;Sawhney, Summit;Fung, Chris;Nikolai, Lisa;Lewis, Mike;Coutouly, Marie-Aude;Forsythe, Ian;Tang, Peter;Shrivastava, Savita;Jeroncic, Kevin;Stothard, Paul;Amegbey, Godwin;Block, David;Hau, David D;Wagner, James;Miniaci, Jessica;Clements, Melisa;Gebremedhin, Mulu;Guo, Natalie;Zhang, Ying;Duggan, Gavin E;Macinnis, Glen D;Weljie, Alim M;Dowlatabadi, Reza;Bamforth, Fiona;Clive, Derrick;Greiner, Russ;Li, Liang;Marrie, Tom;Sykes, Brian D;Vogel, Hans J;Querengesser, Lori
通讯作者: Querengesser, Lori
DOI: 10.1016/s0022-510x(96)00224-9
发表时间: 1996-12-01
影响因子: 4.4
作者:
Simone, IL;Federico, F;Livrea, P
通讯作者: Livrea, P
DOI: 10.1007/s10534-006-9033-z
发表时间: 2007-06-01
期刊: BIOMETALS
影响因子: 3.5
作者:
Molina-Holgado, Francisco;Hider, Robert C.;Francis, Paul
通讯作者: Francis, Paul
DOI: 10.1016/j.brainres.2006.05.057
发表时间: 2006-08-09
期刊: BRAIN RESEARCH
影响因子: 2.9
作者:
Toczylowska, Beata;Chalimoniuk, Malgorzata;Mayzner-Zawadzka, Ewa
通讯作者: Mayzner-Zawadzka, Ewa