Université de Nantes, CNRS, CEISAM UMR 6230, B.P. 92208, 2 rue de la Houssinière, F-44322, Nantes Cedex 03, France.
NMR Biomed. 2012 Aug;25(8):985-92. doi: 10.1002/nbm.1816. Epub 2012 Feb 14.
Metabolomic studies by NMR spectroscopy are increasingly employed for a variety of biomedical applications. A very standardized 1D proton NMR protocol is generally employed for data acquisition, associated with multivariate statistical tests. Even if targeted approaches have been proposed to quantify metabolites from such experiments, quantification is often made difficult by the high degree of overlap characterizing (1) H NMR spectra of biological samples. Two-dimensional spectroscopy presents a high potential for accurately measuring concentrations in complex samples, as it offers a much higher discrimination between metabolite resonances. We have recently proposed an original approach relying on the (1) H 2D INADEQUATE pulse sequence, optimized for fast quantitative analysis of complex metabolic mixtures. Here, the first application of the quantitative (1) H 2D INADEQUATE experiment to a real metabonomic study is presented. Absolute metabolite concentrations are determined for different breast cancer cell line extracts, by a standard addition procedure. The protocol is characterized by high analytical performances (accuracy better than 1%, excellent linearity), even if it is affected by relatively long acquisition durations (15 min to 1 h per spectrum). It is applied to three different cell lines, expressing different hormonal and tyrosine kinase receptors. The absolute concentrations of 15 metabolites are determined, revealing significant differences between cell lines. The metabolite concentrations measured are in good agreement with previous studies regarding metabolic profile changes of breast cancer. While providing a high degree of discrimination, this methodology offers a powerful tool for the determination of relevant biomarkers.
基于核磁共振光谱的代谢组学研究正越来越多地应用于各种生物医学领域。通常采用非常标准化的一维质子 NMR 方案进行数据采集,并结合多元统计检验。尽管已经提出了一些针对此类实验中代谢物定量的靶向方法,但由于生物样本的 (1) H NMR 光谱具有高度重叠的特点,定量往往变得很困难。二维光谱技术具有在复杂样品中准确测量浓度的巨大潜力,因为它在代谢物共振之间提供了更高的分辨能力。我们最近提出了一种基于 (1) H 2D INADEQUATE 脉冲序列的原创方法,该方法优化用于快速定量分析复杂的代谢混合物。这里介绍了将定量 (1) H 2D INADEQUATE 实验首次应用于实际代谢组学研究。通过标准添加程序,确定不同乳腺癌细胞系提取物中的绝对代谢物浓度。该方案具有出色的分析性能(准确度优于 1%,极好的线性度),即使其受到相对较长的采集时间(每个光谱 15 分钟至 1 小时)的影响。该方法应用于三种表达不同激素和酪氨酸激酶受体的不同细胞系。确定了 15 种代谢物的绝对浓度,揭示了细胞系之间的显著差异。所测量的代谢物浓度与先前关于乳腺癌代谢谱变化的研究结果一致。虽然该方法具有高度的分辨能力,但它提供了一种强大的工具,可用于确定相关的生物标志物。