Coen Muireann, Hong Young-Shick, Cloarec Olivier, Rhode Cindy M, Reily Michael D, Robertson Donald G, Holmes Elaine, Lindon John C, Nicholson Jeremy K
Department of Biomolecular Medicine, Sir Alexander Fleming Building, SORA Division, Faculty of Medicine, Imperial College London, SW7 2AZ, U.K.
Anal Chem. 2007 Dec 1;79(23):8956-66. doi: 10.1021/ac0713961. Epub 2007 Nov 1.
As part of our ongoing development of methods for enhanced biomarker information recovery from spectroscopic data we present the first example of a new hetero-nuclear statistical total correlation spectroscopy (HET-STOCSY) approach applied to intact tissue samples collected as part of a toxicological study. One-dimensional 1H and 31P-{1H} magic angle spinning (MAS) NMR spectra of intact liver samples after galactosamine (galN) treatment to rats and after cotreatment of galN plus uridine were collected at 275 K. Individual samples were also followed by 1H and 31P-{1H} MAS NMR through time generating time dependent modulations in metabolite signatures relating to toxicity. High-resolution 1H NMR spectra of urine and plasma and clinical chemical data were also collected to establish a biological framework in which to place these novel statistical heterospectroscopic data. In HET-STOCSY, calculation of the covariance between the 31P-{1H} and 1H NMR signals of phosphorus containing metabolites allows their molecular connectivities to be established and the construction of virtual two-dimensional heteronuclear correlation spectra that connect all protons on the molecule to the heteroatom. We show how HET-STOCSY applied to MAS NMR spectra of liver samples can be used to augment biomarker detection. This approach is generic and can be applied to correlate the covarying signals for any spin-active nuclei where there is parallel or serial collection of data.
作为我们不断发展的从光谱数据中增强生物标志物信息恢复方法的一部分,我们展示了一种新的异核统计全相关光谱法(HET - STOCSY)应用于作为毒理学研究一部分收集的完整组织样本的首个实例。在275K下收集了经半乳糖胺(galN)处理的大鼠完整肝脏样本以及galN加尿苷联合处理后的肝脏样本的一维1H和31P - {1H}魔角旋转(MAS)核磁共振谱。还通过1H和31P - {1H} MAS NMR随时间跟踪各个样本,生成与毒性相关的代谢物特征的时间依赖性调制。还收集了尿液和血浆的高分辨率1H NMR谱以及临床化学数据,以建立一个用于放置这些新型统计异谱数据的生物学框架。在HET - STOCSY中,计算含磷代谢物的31P - {1H}和1H NMR信号之间的协方差,可以建立它们的分子连接性,并构建将分子上所有质子与杂原子连接起来的虚拟二维异核相关谱。我们展示了应用于肝脏样本MAS NMR谱的HET - STOCSY如何用于增强生物标志物检测。这种方法是通用的,可应用于关联任何自旋活性核的协变信号,只要存在数据的并行或串行采集。