Literature DB >> 25483141

Development of urinary pseudotargeted LC-MS-based metabolomics method and its application in hepatocellular carcinoma biomarker discovery.

Yaping Shao1, Bin Zhu, Ruiyin Zheng, Xinjie Zhao, Peiyuan Yin, Xin Lu, Binghua Jiao, Guowang Xu, Zhenzhen Yao.   

Abstract

Hepatocellular carcinoma (HCC) is one of the pestilent malignancies leading to cancer-related death. Discovering effective biomarkers for HCC diagnosis is an urgent demand. To identify potential metabolite biomarkers, we developed a urinary pseudotargeted method based on liquid chromatography-hybrid triple quadrupole linear ion trap mass spectrometry (LC-QTRAP MS). Compared with nontargeted method, the pseudotargeted method can achieve better data quality, which benefits differential metabolites discovery. The established method was applied to cirrhosis (CIR) and HCC investigation. It was found that urinary nucleosides, bile acids, citric acid, and several amino acids were significantly changed in liver disease groups compared with the controls, featuring the dysregulation of purine metabolism, energy metabolism, and amino metabolism in liver diseases. Furthermore, some metabolites such as cyclic adenosine monophosphate, glutamine, and short- and medium-chain acylcarnitines were the differential metabolites of HCC and CIR. On the basis of binary logistic regression, butyrylcarnitine (carnitine C4:0) and hydantoin-5-propionic acid were defined as combinational markers to distinguish HCC from CIR. The area under curve was 0.786 and 0.773 for discovery stage and validation stage samples, respectively. These data show that the established pseudotargeted method is a complementary one of targeted and nontargeted methods for metabolomics study.

Entities:  

Keywords:  LC−MS; cirrhosis; hepatocellular carcinoma; metabolomics; pseudotargeted method; urine

Mesh:

Substances:

Year:  2014        PMID: 25483141     DOI: 10.1021/pr500973d

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  34 in total

1.  Metabolomics by UHPLC-MS: benefits provided by complementary use of Q-TOF and QQQ for pathway profiling.

Authors:  Katrin Freiburghaus; Carlo Rodolfo Largiadèr; Christoph Stettler; Georg Martin Fiedler; Lia Bally; Cédric Bovet
Journal:  Metabolomics       Date:  2019-08-28       Impact factor: 4.290

2.  Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry.

Authors:  Fujian Zheng; Xinjie Zhao; Zhongda Zeng; Lichao Wang; Wangjie Lv; Qingqing Wang; Guowang Xu
Journal:  Nat Protoc       Date:  2020-06-24       Impact factor: 13.491

3.  Immobilization of zirconium-glycerolate nanowires on magnetic nanoparticles for extraction of urinary ribonucleosides.

Authors:  Jing Xu; Zheng Zhang; Xiao-Mei He; Ren-Qi Wang; Dilshad Hussain; Yu-Qi Feng
Journal:  Mikrochim Acta       Date:  2017-12-08       Impact factor: 5.833

4.  Globally Optimized Targeted Mass Spectrometry: Reliable Metabolomics Analysis with Broad Coverage.

Authors:  Haiwei Gu; Ping Zhang; Jiangjiang Zhu; Daniel Raftery
Journal:  Anal Chem       Date:  2015-12-02       Impact factor: 6.986

Review 5.  Liver transplantation for hepatocellular carcinoma - factors influencing outcome and disease-free survival.

Authors:  René Fahrner; Felix Dondorf; Michael Ardelt; Yves Dittmar; Utz Settmacher; Falk Rauchfuß
Journal:  World J Gastroenterol       Date:  2015-11-14       Impact factor: 5.742

6.  Integration of Metabolomics and Transcriptomics Reveals Major Metabolic Pathways and Potential Biomarker Involved in Prostate Cancer.

Authors:  Shancheng Ren; Yaping Shao; Xinjie Zhao; Christopher S Hong; Fubo Wang; Xin Lu; Jia Li; Guozhu Ye; Min Yan; Zhengping Zhuang; Chuanliang Xu; Guowang Xu; Yinghao Sun
Journal:  Mol Cell Proteomics       Date:  2015-11-06       Impact factor: 5.911

7.  Developing a SWATH capillary LC-MS/MS method for simultaneous therapeutic drug monitoring and untargeted metabolomics analysis of neonatal plasma.

Authors:  Jingcheng Xiao; Jian Shi; Ruiting Li; Lucy Her; Xinwen Wang; Jiapeng Li; Matthew J Sorensen; Varsha Bhatt-Mehta; Hao-Jie Zhu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2021-07-27       Impact factor: 3.318

Review 8.  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

9.  Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma.

Authors:  Rong Gao; Jianhua Cheng; Chunlei Fan; Xiaofeng Shi; Yuan Cao; Bo Sun; Huiguo Ding; Chengjin Hu; Fangting Dong; Xianzhong Yan
Journal:  Sci Rep       Date:  2015-12-10       Impact factor: 4.379

Review 10.  Metabolomic analysis of human cirrhosis, hepatocellular carcinoma, non-alcoholic fatty liver disease and non-alcoholic steatohepatitis diseases.

Authors:  Akram Safaei; Afsaneh Arefi Oskouie; Seyed Reza Mohebbi; Mostafa Rezaei-Tavirani; Mohammad Mahboubi; Maryam Peyvandi; Farshad Okhovatian; Mona Zamanian-Azodi
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2016
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