Literature DB >> 24636738

Metabolome analysis for discovering biomarkers of gastroenterological cancer.

Makoto Suzuki1, Shin Nishiumi1, Atsuki Matsubara1, Takeshi Azuma1, Masaru Yoshida2.   

Abstract

Improvements in analytical technologies have made it possible to rapidly determine the concentrations of thousands of metabolites in any biological sample, which has resulted in metabolome analysis being applied to various types of research, such as clinical, cell biology, and plant/food science studies. The metabolome represents all of the end products and by-products of the numerous complex metabolic pathways operating in a biological system. Thus, metabolome analysis allows one to survey the global changes in an organism's metabolic profile and gain a holistic understanding of the changes that occur in organisms during various biological processes, e.g., during disease development. In clinical metabolomic studies, there is a strong possibility that differences in the metabolic profiles of human specimens reflect disease-specific states. Recently, metabolome analysis of biofluids, e.g., blood, urine, or saliva, has been increasingly used for biomarker discovery and disease diagnosis. Mass spectrometry-based techniques have been extensively used for metabolome analysis because they exhibit high selectivity and sensitivity during the identification and quantification of metabolites. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry, and capillary electrophoresis-mass spectrometry. Furthermore, the findings of studies that attempted to discover biomarkers of gastroenterological cancer are also outlined. Finally, we discuss metabolome analysis-based disease diagnosis.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; Cancer; Diagnosis; Metabolome analysis; Metabolomics; Serum

Mesh:

Substances:

Year:  2014        PMID: 24636738     DOI: 10.1016/j.jchromb.2014.02.042

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  11 in total

1.  Candidate serum metabolite biomarkers for differentiating gastroesophageal reflux disease, Barrett's esophagus, and high-grade dysplasia/esophageal adenocarcinoma.

Authors:  Matthew F Buas; Haiwei Gu; Danijel Djukovic; Jiangjiang Zhu; Lynn Onstad; Brian J Reid; Daniel Raftery; Thomas L Vaughan
Journal:  Metabolomics       Date:  2017-01-20       Impact factor: 4.290

2.  Investigation of the relationships between knee osteoarthritis and obesity via untargeted metabolomics analysis.

Authors:  Onur Senol; Gulsah Gundogdu; Koksal Gundogdu; Fatma Demirkaya Miloglu
Journal:  Clin Rheumatol       Date:  2019-01-14       Impact factor: 2.980

3.  Beyond microbial community composition: functional activities of the oral microbiome in health and disease.

Authors:  Ana E Duran-Pinedo; Jorge Frias-Lopez
Journal:  Microbes Infect       Date:  2015-04-07       Impact factor: 2.700

4.  Alterations in Docosahexaenoic Acid-Related Lipid Cascades in Inflammatory Bowel Disease Model Mice.

Authors:  Shin Nishiumi; Yoshihiro Izumi; Masaru Yoshida
Journal:  Dig Dis Sci       Date:  2018-03-21       Impact factor: 3.199

5.  Serum metabolomics differentiating pancreatic cancer from new-onset diabetes.

Authors:  Xiangyi He; Jie Zhong; Shuwei Wang; Yufen Zhou; Lei Wang; Yongping Zhang; Yaozong Yuan
Journal:  Oncotarget       Date:  2017-04-25

6.  Investigations in the possibility of early detection of colorectal cancer by gas chromatography/triple-quadrupole mass spectrometry.

Authors:  Shin Nishiumi; Takashi Kobayashi; Shuichi Kawana; Yumi Unno; Takero Sakai; Koji Okamoto; Yasuhide Yamada; Kazuki Sudo; Taiki Yamaji; Yutaka Saito; Yukihide Kanemitsu; Natsuko Tsuda Okita; Hiroshi Saito; Shoichiro Tsugane; Takeshi Azuma; Noriyuki Ojima; Masaru Yoshida
Journal:  Oncotarget       Date:  2017-03-07

7.  Volatile metabolomic signature of human breast cancer cell lines.

Authors:  Catarina L Silva; Rosa Perestrelo; Pedro Silva; Helena Tomás; José S Câmara
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

Review 8.  Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review.

Authors:  Vanessa Erben; Megha Bhardwaj; Petra Schrotz-King; Hermann Brenner
Journal:  Cancers (Basel)       Date:  2018-07-27       Impact factor: 6.639

9.  Urinary Metabolomics Study of Patients with Gout Using Gas Chromatography-Mass Spectrometry.

Authors:  Qianqian Li; Shuangshuang Wei; Dehong Wu; Chengping Wen; Jia Zhou
Journal:  Biomed Res Int       Date:  2018-10-16       Impact factor: 3.411

10.  Detection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Cancer.

Authors:  Mark Woollam; Meghana Teli; Paula Angarita-Rivera; Shengzhi Liu; Amanda P Siegel; Hiroki Yokota; Mangilal Agarwal
Journal:  Sci Rep       Date:  2019-02-21       Impact factor: 4.379

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