Probing latent biomarker signatures and in vivo pathway activity in experimental disease states via statistical total correlation spectroscopy (STOCSY) of biofluids:: Application to HgCl2 toxicity

被引：81

作者：

Holmes, E. ^{[1
]}

Cloarec, O. ^{[1
]}

Nicholson, J. K. ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Div Biomed Sci, London SW7 2AZ, England

来源：

JOURNAL OF PROTEOME RESEARCH | 2006年 / 5卷 / 06期

基金：

英国惠康基金;

关键词：

metabonomics; STOCSY; NMR; Hg2+; renal cortical toxicity; biomarker signature;

D O I：

10.1021/pr050399w

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

A new multivariate statistical approach, based on the novel combination of projection on latent structure analysis with an inbuilt orthogonal filter (OPLS-DA) coupled with a spectroscopic correlation method statistical total correlation spectroscopy (STOCSY), was used to characterize the in vivo metabolic pathway perturbations of a model renal cortical toxin HgCl2, in the rat, using urine as an indicator of metabolic homeostasis disruption. This method provided an unbiased, sensitive approach to biomarker extraction and identification, and showed potential for generating potential novel pathway connectivities.

引用

页码：1313 / 1320

页数：8

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