Molecular phenotyping of a UK population: defining the human serum metabolome.
Molecular phenotyping of a UK population: defining the human serum metabolome.
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DOI：
10.1007/s11306-014-0707-1
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发表时间：
2015
期刊：
影响因子：
3.6
通讯作者：
Kell, Douglas B.
中科院分区：
文献类型：
--
作者：
Dunn, Warwick B.;Lin, Wanchang;Broadhurst, David;Begley, Paul;Brown, Marie;Zelena, Eva;Vaughan, Andrew A.;Halsall, Antony;Harding, Nadine;Knowles, Joshua D.;Francis-McIntyre, Sue;Tseng, Andy;Ellis, David I.;O'Hagan, Steve;Aarons, Gill;Benjamin, Boben;Chew-Graham, Stephen;Moseley, Carly;Potter, Paula;Winder, Catherine L.;Potts, Catherine;Thornton, Paula;McWhirter, Catriona;Zubair, Mohammed;Pan, Martin;Burns, Alistair;Cruickshank, J. Kennedy;Jayson, Gordon C.;Purandare, Nitin;Wu, Frederick C. W.;Finn, Joe D.;Haselden, John N.;Nicholls, Andrew W.;Wilson, Ian D.;Goodacre, Royston;Kell, Douglas B.
通过应用一系列色谱-质谱平台研究血清中存在的不同类别的亲水性和亲脂性代谢物，对来自英国的 1,200 名“健康”成年人进行了表型分析。通过数值校正，这些数据对仪器漂移具有鲁棒性；这是检测细微代谢差异的先决条件。 1,200 名受试者之间观察到的代谢物相对浓度的变化范围从小于 5% 到大于 200%。代谢物的变化可能与性别、年龄、体重指数、血压和吸烟的差异有关。调查表明，600 名受试者的样本量对于对这些数据进行稳健分析是必要且充分的。总体而言，这是一项大规模、非靶向的基于色谱 MS 的代谢组学研究，使用来自 1,000 多个个体的样本，以提供其血清代谢组的全面测量。这项工作为了解人血清代谢组的“正常”相对浓度和变化提供了重要的基线或参考数据集。这些可能与我们对人体代谢网络图谱的了解不断增加有关。有关 Husermet 研究的信息，请访问 http://www.husermet.org/。重要的是，所有数据均可在 MetaboLights (http://www.ebi.ac.uk/metabolights/) 上免费获取。本文的在线版本 (doi:10.1007/s11306-014-0707-1) 包含补充材料，可供授权用户使用。
Phenotyping of 1,200 ‘healthy’ adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites present in serum by applying a series of chromatography–mass spectrometry platforms. These data were made robust to instrumental drift by numerical correction; this was prerequisite to allow detection of subtle metabolic differences. The variation in observed metabolite relative concentrations between the 1,200 subjects ranged from less than 5 % to more than 200 %. Variations in metabolites could be related to differences in gender, age, BMI, blood pressure, and smoking. Investigations suggest that a sample size of 600 subjects is both necessary and sufficient for robust analysis of these data. Overall, this is a large scale and non-targeted chromatographic MS-based metabolomics study, using samples from over 1,000 individuals, to provide a comprehensive measurement of their serum metabolomes. This work provides an important baseline or reference dataset for understanding the ‘normal’ relative concentrations and variation in the human serum metabolome. These may be related to our increasing knowledge of the human metabolic network map. Information on the Husermet study is available at http://www.husermet.org/. Importantly, all of the data are made freely available at MetaboLights (http://www.ebi.ac.uk/metabolights/). The online version of this article (doi:10.1007/s11306-014-0707-1) contains supplementary material, which is available to authorized users.
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影响因子：
14.9
作者：
Haug K;Salek RM;Conesa P;Hastings J;de Matos P;Rijnbeek M;Mahendraker T;Williams M;Neumann S;Rocca-Serra P;Maguire E;González-Beltrán A;Sansone SA;Griffin JL;Steinbeck C
通讯作者：
Steinbeck C
DOI：
10.1093/bioinformatics/btr079
发表时间：
2011-04-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Brown M;Wedge DC;Goodacre R;Kell DB;Baker PN;Kenny LC;Mamas MA;Neyses L;Dunn WB
通讯作者：
Dunn WB
影响因子：
37.8
作者：
Cheng S;Rhee EP;Larson MG;Lewis GD;McCabe EL;Shen D;Palma MJ;Roberts LD;Dejam A;Souza AL;Deik AA;Magnusson M;Fox CS;O'Donnell CJ;Vasan RS;Melander O;Clish CB;Gerszten RE;Wang TJ
通讯作者：
Wang TJ
影响因子：
3.6
作者：
Goodacre, Royston;Broadhurst, David;Wulfert, Florian
通讯作者：
Wulfert, Florian
影响因子：
15.8
作者：
Ioannidis, JPA
通讯作者：
Ioannidis, JPA