| Literature DB >> 23020077 |
Ying-Yong Zhao1, Xian-Long Cheng, Feng Wei, Xu Bai, Rui-Chao Lin.
Abstract
Chronic renal failure (CRF) is a major challenge for the public healthcare problem. A novel UPLC Q-TOF/MS method with MS(E) data collection mode was developed as a very effective biochemical analytical tool for precise identification of important biomarkers in the adenine-induced CRF rats. Nine endogenous metabolites were identified by using metabonomic method combined with multivariate data analysis, the accurate mass, isotopic pattern, MS(E) fragments information and MassLynx i-FIT algorithm. The identified metabolites indicated the perturbations of bile acid and phospholipid metabolism are related to CRF rats. This work shows that metabonomics method is a valuable tool in CRF mechanism study.Entities:
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Year: 2012 PMID: 23020077 DOI: 10.3109/1354750X.2012.724450
Source DB: PubMed Journal: Biomarkers ISSN: 1354-750X Impact factor: 2.658