Identification of biomarkers for development of end-stage kidney disease in chronic kidney disease by metabolomic profiling.

ABSTRACT: A critical issue in the management of chronic kidney disease (CKD) is to prevent patients from the progression to end-stage kidney disease (ESKD), however, there is only limited number of biomarkers for the discrimination of the high-risk CKD patients. We aimed to identify the metabolites which possess the ability to predict the earlier kidney deterioration. We performed capillary electrophoresis and liquid chromatography mass spectrometry (CE-MS)-based metabolic profiling in a prospective cohort, which consisted of referred 112 CKD patients with median follow-up period of 4.4 years. The association between the levels of candidate metabolites and the outcomes (progression to ESKD alone or in combination with death before ESKD) were assessed by multivariate Cox proportional hazard models af

SUBMITTER: Kimura T 

PROVIDER: S-EPMC4870629 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature