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

5 Citations (Scopus)

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 - 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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