Literature DB >> 23313056

Urinary metabolic profiling identifies a key role for glycocholic acid in human liver cancer by ultra-performance liquid-chromatography coupled with high-definition mass spectrometry.

Aihua Zhang1, Hui Sun, Guangli Yan, Ying Han, Yuan Ye, Xijun Wang.   

Abstract

BACKGROUND: Metabolomics has been proposed to be a hallmark of cancer, yet a systematic characterization of a metabolite and metabolic pathways in human hepatocarcinoma (HCC) remains a challenge.
METHODS: Using ultra-performance liquid-chromatography/quadrupole-time-of-flight coupled with high-definition mass spectrometry (UPLC-Q-TOF-HDMS) in conjunction with multivariate data analysis methods, we identified and measured the metabolite profile of glycocholic acid from urine samples obtained from patients with HCC diseases. Bioinformatic tools were used to construct the metabolite network that can identify a key role for glycocholic acid in HCC.
RESULTS: Biochemical analyses revealed that glycocholic acid expression was up-regulated in urine samples associated with HCC. Its pathway analysis suggested the modulation of multiple vital physiological pathways, including primary bile acid biosynthesis, secondary bile acid biosynthesis, metabolic pathways, and bile secretion. The network generation clearly enhances the interpretation and understanding of mechanisms for glycocholic acid.
CONCLUSIONS: Metabolomics can contribute to evaluating the potential of metabolites in HCC patients and may provide new insight into pathophysiologic mechanisms.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23313056     DOI: 10.1016/j.cca.2012.12.024

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  27 in total

1.  Metabolomics study of type 2 diabetes using ultra-performance LC-ESI/quadrupole-TOF high-definition MS coupled with pattern recognition methods.

Authors:  Ai-hua Zhang; Hui Sun; Guang-li Yan; Ye Yuan; Ying Han; Xi-jun Wang
Journal:  J Physiol Biochem       Date:  2013-08-24       Impact factor: 4.158

2.  Diagnostic value of serum bile acid composition patterns and serum glycocholic acid levels in cholangiocarcinoma.

Authors:  Siriporn Proungvitaya; Sutthikan Sombattheera; Patcharee Boonsiri; Temduang Limpaiboon; Sopit Wongkham; Chaisiri Wongkham; Attapol Titapun; Tanakorn Proungvitaya
Journal:  Oncol Lett       Date:  2017-08-17       Impact factor: 2.967

3.  Biotinylated single-chain variable fragment-based enzyme-linked immunosorbent assay for glycocholic acid.

Authors:  Xiping Cui; Natalia Vasylieva; Ding Shen; Bogdan Barnych; Jun Yang; Qiyi He; Zhengyun Jiang; Suqing Zhao; Bruce D Hammock
Journal:  Analyst       Date:  2018-04-30       Impact factor: 4.616

Review 4.  Advances in the design of nanomaterial-based electrochemical affinity and enzymatic biosensors for metabolic biomarkers: A review.

Authors:  Leila Farzin; Mojtaba Shamsipur; Leila Samandari; Shahab Sheibani
Journal:  Mikrochim Acta       Date:  2018-05-02       Impact factor: 5.833

Review 5.  The metabolomic window into hepatobiliary disease.

Authors:  Diren Beyoğlu; Jeffrey R Idle
Journal:  J Hepatol       Date:  2013-05-25       Impact factor: 25.083

Review 6.  Update on biomarkers of hepatocellular carcinoma.

Authors:  Roongruedee Chaiteerakij; Benyam D Addissie; Lewis R Roberts
Journal:  Clin Gastroenterol Hepatol       Date:  2013-11-23       Impact factor: 11.382

Review 7.  Metabolomics for Biomarker Discovery: Moving to the Clinic.

Authors:  Aihua Zhang; Hui Sun; Guangli Yan; Ping Wang; Xijun Wang
Journal:  Biomed Res Int       Date:  2015-05-19       Impact factor: 3.411

8.  Applications of metabolomics in cancer research.

Authors:  Kathleen A Vermeersch; Mark P Styczynski
Journal:  J Carcinog       Date:  2013-06-18

9.  Urinary metabolic biomarker and pathway study of hepatitis B virus infected patients based on UPLC-MS system.

Authors:  Aihua Zhang; Hui Sun; Ying Han; Guangli Yan; Xijun Wang
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

10.  Volatile Organic Metabolites Identify Patients with Mesangial Proliferative Glomerulonephritis, IgA Nephropathy and Normal Controls.

Authors:  Changsong Wang; Yue Feng; Mingao Wang; Xin Pi; Hongshuang Tong; Yue Wang; Lin Zhu; Enyou Li
Journal:  Sci Rep       Date:  2015-10-07       Impact factor: 4.379

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