Literature DB >> 23889541

Pseudotargeted metabolomics method and its application in serum biomarker discovery for hepatocellular carcinoma based on ultra high-performance liquid chromatography/triple quadrupole mass spectrometry.

Shili Chen1, Hongwei Kong, Xin Lu, Yong Li, Peiyuan Yin, Zhongda Zeng, Guowang Xu.   

Abstract

Untargeted analysis performed using full-scan mass spectrometry (MS) coupled with liquid chromatography (LC) is commonly used in metabolomics. Although they are commonly employed, full-scan MS methods such as quadrupole-time-of-flight (Q-TOF) MS have been restricted by various factors including their limited linear range and complicated data processing. LC coupled with triple quadrupole (QQQ) MS operated in the multiple reaction monitoring (MRM) mode is the gold standard for metabolite quantification; however, only known metabolites are generally quantified, limiting its applications in metabolomic analysis. In this study, a pseudotargeted approach was proposed to perform serum metabolomic analysis using an ultra high-performance liquid chromatography (UHPLC)/QQQ MS system operated in the MRM mode, for which the MRM ion pairs were acquired from the serum samples through untargeted tandem MS using UHPLC/Q-TOF MS. The UHPLC/QQQ MRM MS-based pseudotargeted method displayed better repeatability and wider linear range than the traditional UHPLC/Q-TOF MS-based untargeted metabolomics method, and no complicated peak alignment was required. The developed method was applied to discover serum biomarkers for patients with hepatocellular carcinoma (HCC). Patients with HCC had decreased lysophosphatidylcholine, increased long-chain and decreased medium-chain acylcarnitines, and increased aromatic and decreased branched-chain amino acid levels compared to healthy controls. The novelty of this work is that it provides an approach to acquire MRM ion pairs from real samples, is not limited to metabolite standards, and it provides a foundation to achieve pseudotargeted metabolomic analysis on the widely used LC/QQQ MS platform.

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Year:  2013        PMID: 23889541     DOI: 10.1021/ac4016787

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  36 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.  High-resolution MS/MS metabolomics by data-independent acquisition reveals urinary metabolic alteration in experimental colitis.

Authors:  Zhixiang Yan; Ting Li; Bin Wei; Panpan Wang; Jianbo Wan; Yitao Wang; Ru Yan
Journal:  Metabolomics       Date:  2019-04-30       Impact factor: 4.290

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

5.  Analysis of metabolites and metabolic pathways in breast cancer in a Korean prospective cohort: the Korean Cancer Prevention Study-II.

Authors:  Hye Jin Yoo; Minjoo Kim; Minkyung Kim; Minsik Kang; Keum Ji Jung; Se-Mi Hwang; Sun Ha Jee; Jong Ho Lee
Journal:  Metabolomics       Date:  2018-06-08       Impact factor: 4.290

6.  Metandem: An online software tool for mass spectrometry-based isobaric labeling metabolomics.

Authors:  Ling Hao; Yuerong Zhu; Pingli Wei; Jillian Johnson; Amanda Buchberger; Dustin Frost; W John Kao; Lingjun Li
Journal:  Anal Chim Acta       Date:  2019-08-21       Impact factor: 6.558

Review 7.  Hepatocellular carcinoma: Review of disease and tumor biomarkers.

Authors:  Jin Un Kim; Mohamed I F Shariff; Mary M E Crossey; Maria Gomez-Romero; Elaine Holmes; I Jane Cox; Haddy K S Fye; Ramou Njie; Simon D Taylor-Robinson
Journal:  World J Hepatol       Date:  2016-04-08

8.  Tumor metabolism and associated serum metabolites define prognostic subtypes of Asian hepatocellular carcinoma.

Authors:  Yotsawat Pomyen; Anuradha Budhu; Jittiporn Chaisaingmongkol; Marshonna Forgues; Hien Dang; Mathuros Ruchirawat; Chulabhorn Mahidol; Xin Wei Wang
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.996

Review 9.  Improved drug therapy: triangulating phenomics with genomics and metabolomics.

Authors:  Andrew A Monte; Chad Brocker; Daniel W Nebert; Frank J Gonzalez; David C Thompson; Vasilis Vasiliou
Journal:  Hum Genomics       Date:  2014-09-01       Impact factor: 4.639

10.  The early diagnosis and monitoring of squamous cell carcinoma via saliva metabolomics.

Authors:  Qihui Wang; Pan Gao; Xiaoyi Wang; Yixiang Duan
Journal:  Sci Rep       Date:  2014-10-30       Impact factor: 4.379

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