Urinary Metabonomics Study of Heart Failure Patients with HILIC and RPLC Separation Coupled to TOF–MS

摘要

In this study, urinarymetabolic profiles of patients with heart failure (HF) and healthy individuals were analyzed by LC-TOF–MS. Both reversed-phase chromatography and hydrophilic interaction chromatography were used to separate the endogenous metabolites in urine. Partial least-squares to latent structure-discriminant analysis was used for discriminating HF patients from healthy persons and the selection of potential biomarkers. The results suggested that the combination ofLC–MS andmultivariate statistical analysis could be used for HF diagnosis. The MS/MS experiments were carried out to identify the potential biomarkers which are important for the contribution to the discrimination. As a result, 12 potential biomarkers for HF were identified and the related metabolic pathways were studied.