High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
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DOI：
10.1039/b910205a
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发表时间：
2009-01-01
期刊：
影响因子：
4.2
通讯作者：
Ala-Korpela, Mika
中科院分区：
文献类型：
--
作者：
Soininen, Pasi;Kangas, Antti J.;Ala-Korpela, Mika
高通量质子(H-1)核磁共振(核磁共振)代谢组学方法被引入来表征系统的代谢表型。该方法结合了两个分子窗口，这两个窗口包含了H-1核磁共振从天然血清中获得的大部分代谢信息，例如血清脂类、脂蛋白亚类以及各种低分子代谢物。实验是机器人控制的，完全自动化，24小时内可处理150-180个样品。据我们所知，在实验高通量、成本效益和自动化多代谢数据分析方面，该装置是独一无二的。作为一个例子，我们证明了核磁共振数据本身揭示了系统代谢表型和代谢综合征之间的关联(n=4407)。每年高达50000份血清样本的高通量也为这项技术在大规模临床和流行病学研究中铺平了道路。与单一的生物标志物相反，这种整体核磁共振方法和集成计算方法的应用为生物医学研究提供了一种数据驱动的系统生物学方法。
A high-throughput proton (H-1) nuclear magnetic resonance (NMR) metabonomics approach is introduced to characterise systemic metabolic phenotypes. The methodology combines two molecular windows that contain the majority of the metabolic information available by H-1 NMR from native serum, e. g. serum lipids, lipoprotein subclasses as well as various low-molecular-weight metabolites. The experimentation is robotics-controlled and fully automated with a capacity of about 150-180 samples in 24 h. To the best of our knowledge, the presented set-up is unique in the sense of experimental high-throughput, cost-effectiveness, and automated multi-metabolic data analyses. As an example, we demonstrate that the NMR data as such reveal associations between systemic metabolic phenotypes and the metabolic syndrome (n = 4407). The high-throughput of up to 50 000 serum samples per year is also paving the way for this technology in large-scale clinical and epidemiological studies. In contradiction to single 'biomarkers', the application of this holistic NMR approach and the integrated computational methods provides a data-driven systems biology approach to biomedical research.