Urinary metabonomics study of heart failure patients with HILIC and RPLC separation coupled to TOF-MS

Mingqian Sun; Yang Miao; Pengjun Wang; Lan Miao; Lingling Liu; Jianxun Liu

doi:10.1007/s10337-013-2585-5

Urinary metabonomics study of heart failure patients with HILIC and RPLC separation coupled to TOF-MS

Mingqian Sun, Yang Miao, Pengjun Wang, Lan Miao, Lingling Liu, Jianxun Liu

Western Sydney University

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, urinary metabolic 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 of LC–MS and multivariate 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.

Original language	English
Pages (from-to)	249-255
Number of pages	7
Journal	Chromatographia
Volume	77
Issue number	45385
DOIs	https://doi.org/10.1007/s10337-013-2585-5
Publication status	Published - 2014

Keywords

biochemical markers
heart failure
urine

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10.1007/s10337-013-2585-5

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title = "Urinary metabonomics study of heart failure patients with HILIC and RPLC separation coupled to TOF-MS",

abstract = "In this study, urinary metabolic 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 of LC–MS and multivariate 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.",

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T1 - Urinary metabonomics study of heart failure patients with HILIC and RPLC separation coupled to TOF-MS

AU - Sun, Mingqian

AU - Miao, Yang

AU - Wang, Pengjun

AU - Miao, Lan

AU - Liu, Lingling

AU - Liu, Jianxun

PY - 2014

Y1 - 2014

N2 - In this study, urinary metabolic 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 of LC–MS and multivariate 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.

AB - In this study, urinary metabolic 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 of LC–MS and multivariate 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.

KW - biochemical markers

KW - heart failure

KW - urine

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:42946

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DO - 10.1007/s10337-013-2585-5

M3 - Article

SN - 1612-1112

SN - 0009-5893

VL - 77

SP - 249

EP - 255

JO - Chromatographia

JF - Chromatographia

IS - 45385

ER -

Urinary metabonomics study of heart failure patients with HILIC and RPLC separation coupled to TOF-MS

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Keywords

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