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High-Resolution Quantitative Metabolome Analysis of Urine by Automated Flow Injection NMR

机译:全自动流动注射NMR高分辨率定量分析尿液中的代谢物

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摘要

Metabolism is essential to understand human health. To characterize human metabolism, a high-resolution read-out of the metabolic status under various physiological conditions, either in health or disease, is needed. Metabolomics offers an unprecedented approach for generating system-specific biochemical definitions of a human phenotype through the capture of a variety of metabolites in a single measurement. The emergence of large cohorts in clinical studies increases the demand of technologies able to analyze a large number of measurements, in an automated fashion, in the most robust way. NMR is an. established metabolomics tool for obtaining metabolic phenotypes. Here, we describe the analysis of NMR-based urinary profiles for metabolic studies, challenged to a large human study (3007 samples). This method includes the acquisition of nuclear Overhauser effect spectroscopy one-dimensional and J-resolved two-dimensional (J-Res-2D) ~1H NMR spectra obtained on a 600 MHz spectrometer, equipped with a 120 μL flow probe, coupled to a flow-injection analysis system, in full automation under the control of a sampler manager. Samples were acquired at a throughput of ~20 (or 40 when J-Res-2D is included) min/sample. The associated technical analysis error over the full series of analysis is 12%, which demonstrates the robustness of the method. With the aim to describe an overall metabolomics workflow, the quantification of 36 metabolites, mainly related to central carbon metabolism and gut microbial host cometabolism, was obtained, as well as multivariate data analysis of the full spectral profiles. The metabolic read-outs generated using our analytical workflow can therefore be considered for further pathway modeling and/or biological interpretation.
机译:代谢对于了解人类健康至关重要。为了表征人的新陈代谢,需要在健康或疾病的各种生理条件下高分辨率读取代谢状态。代谢组学提供了一种空前的方法,可通过一次测量捕获多种代谢物来生成人表型的系统特定生化定义。临床研究中大量队列的出现增加了对能够以最强大的方式以自动化方式分析大量测量结果的技术的需求。 NMR是建立了代谢组学工具来获取代谢表型。在这里,我们描述了针对代谢研究的基于NMR的尿液分析,该研究对一项大型人体研究(3007个样品)提出了挑战。该方法包括在配备有120μL流量探针并与流动相耦合的600 MHz光谱仪上获得一维核Overhauser效应光谱和一维J分辨二维(J-Res-2D)〜1H NMR光谱-进样分析系统,在采样器管理器的控制下实现全自动。样品以〜20(如果包括J-Res-2D,则为40)分钟/样品的通量采集。在整个分析系列中,相关的技术分析误差为12%,这证明了该方法的鲁棒性。为了描述整体代谢组学工作流程,获得了主要与中央碳代谢和肠道微生物宿主代谢相关的36种代谢物的定量分析,以及对整个光谱图的多变量数据分析。因此,可以考虑将使用我们的分析工作流程生成的代谢读数用于进一步的途径建模和/或生物学解释。

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