Dona Anthony C, Jiménez Beatriz, Schäfer Hartmut, Humpfer Eberhard, Spraul Manfred, Lewis Matthew R, Pearce Jake T M, Holmes Elaine, Lindon John C, Nicholson Jeremy K
Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London , Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, United Kingdom.
Anal Chem. 2014 Oct 7;86(19):9887-94. doi: 10.1021/ac5025039. Epub 2014 Sep 16.
Proton nuclear magnetic resonance (NMR)-based metabolic phenotyping of urine and blood plasma/serum samples provides important prognostic and diagnostic information and permits monitoring of disease progression in an objective manner. Much effort has been made in recent years to develop NMR instrumentation and technology to allow the acquisition of data in an effective, reproducible, and high-throughput approach that allows the study of general population samples from epidemiological collections for biomarkers of disease risk. The challenge remains to develop highly reproducible methods and standardized protocols that minimize technical or experimental bias, allowing realistic interlaboratory comparisons of subtle biomarker information. Here we present a detailed set of updated protocols that carefully consider major experimental conditions, including sample preparation, spectrometer parameters, NMR pulse sequences, throughput, reproducibility, quality control, and resolution. These results provide an experimental platform that facilitates NMR spectroscopy usage across different large cohorts of biofluid samples, enabling integration of global metabolic profiling that is a prerequisite for personalized healthcare.
基于质子核磁共振(NMR)的尿液和血浆/血清样本代谢表型分析可提供重要的预后和诊断信息,并能客观地监测疾病进展。近年来,人们付出了诸多努力来开发NMR仪器和技术,以便以有效、可重复且高通量的方式获取数据,从而能够研究来自流行病学样本库的一般人群样本,寻找疾病风险生物标志物。目前的挑战仍然是开发高度可重复的方法和标准化方案,以尽量减少技术或实验偏差,从而实现实验室间对细微生物标志物信息的实际比较。在此,我们展示了一套详细的更新方案,该方案仔细考虑了主要实验条件,包括样品制备、光谱仪参数、NMR脉冲序列、通量、可重复性、质量控制和分辨率。这些结果提供了一个实验平台,便于在不同的大型生物流体样本队列中使用NMR光谱,实现全球代谢谱分析的整合,这是个性化医疗的前提条件。