Literature DB >> 22041921

Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography-mass spectrometry.

Masaru Yoshida1, Naoya Hatano, Shin Nishiumi, Yasuhiro Irino, Yoshihiro Izumi, Tadaomi Takenawa, Takeshi Azuma.   

Abstract

Recently, metabolome analysis has been increasingly applied to biomarker detection and disease diagnosis in medical studies. Metabolome analysis is a strategy for studying the characteristics and interactions of low molecular weight metabolites under a specific set of conditions and is performed using mass spectrometry and nuclear magnetic resonance spectroscopy. There is a strong possibility that changes in metabolite levels reflect the functional status of a cell because alterations in their levels occur downstream of DNA, RNA, and protein. Therefore, the metabolite profile of a cell is more likely to represent the current status of a cell than DNA, RNA, or protein. Thus, owing to the rapid development of mass spectrometry analytical techniques metabolome analysis is becoming an important experimental method in life sciences including the medical field. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry (GC-MS), capillary electrophoresis-mass spectrometry, and matrix assisted laser desorption ionization-mass spectrometry. Then, the findings of studies about GC-MS-based metabolome analysis of gastroenterological diseases are summarized, and our research results are also introduced. Finally, we discuss the realization of disease diagnosis by metabolome analysis. The development of metabolome analysis using mass spectrometry will aid the discovery of novel biomarkers, hopefully leading to the early detection of various diseases.

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Year:  2011        PMID: 22041921     DOI: 10.1007/s00535-011-0493-8

Source DB:  PubMed          Journal:  J Gastroenterol        ISSN: 0944-1174            Impact factor:   7.527


  36 in total

Review 1.  Mass microscopy: high-resolution imaging mass spectrometry.

Authors:  Mitsutoshi Setou; Nobuya Kurabe
Journal:  J Electron Microsc (Tokyo)       Date:  2010-11-24

2.  Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography-time-of-flight-mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition.

Authors:  Sukanda Tianniam; Lucksanaporn Tarachiwin; Takeshi Bamba; Akio Kobayashi; Eiichiro Fukusaki
Journal:  J Biosci Bioeng       Date:  2008-06       Impact factor: 2.894

3.  High-throughput technique for comprehensive analysis of Japanese green tea quality assessment using ultra-performance liquid chromatography with time-of-flight mass spectrometry (UPLC/TOF MS).

Authors:  Wipawee Pongsuwan; Takeshi Bamba; Kazuo Harada; Tsutomu Yonetani; Akio Kobayashi; Eiichiro Fukusaki
Journal:  J Agric Food Chem       Date:  2008-11-26       Impact factor: 5.279

4.  A serum metabolomic investigation on hepatocellular carcinoma patients by chemical derivatization followed by gas chromatography/mass spectrometry.

Authors:  Ruyi Xue; Zhenxin Lin; Chunhui Deng; Ling Dong; Taotao Liu; Jiyao Wang; Xizhong Shen
Journal:  Rapid Commun Mass Spectrom       Date:  2008-10       Impact factor: 2.419

5.  Comprehensive mass spectrometry based metabolic profiling of blood plasma reveals potent discriminatory classifiers of pancreatic cancer.

Authors:  Shiro Urayama; Wei Zou; Kindra Brooks; Vladimir Tolstikov
Journal:  Rapid Commun Mass Spectrom       Date:  2010-03-15       Impact factor: 2.419

6.  Serum fatty acid profiling of colorectal cancer by gas chromatography/mass spectrometry.

Authors:  Yasuyuki Kondo; Shin Nishiumi; Masakazu Shinohara; Naoya Hatano; Atsuki Ikeda; Tomoo Yoshie; Takashi Kobayashi; Yuuki Shiomi; Yasuhiro Irino; Tadaomi Takenawa; Takeshi Azuma; Masaru Yoshida
Journal:  Biomark Med       Date:  2011-08       Impact factor: 2.851

7.  Prediction of gastric cancer metastasis through urinary metabolomic investigation using GC/MS.

Authors:  Jun-Duo Hu; Hui-Qing Tang; Qiang Zhang; Jing Fan; Jing Hong; Jian-Zhong Gu; Jin-Lian Chen
Journal:  World J Gastroenterol       Date:  2011-02-14       Impact factor: 5.742

8.  GC/MS-based profiling of amino acids and TCA cycle-related molecules in ulcerative colitis.

Authors:  Makoto Ooi; Shin Nishiumi; Tomoo Yoshie; Yuuki Shiomi; Michitaka Kohashi; Ken Fukunaga; Shiro Nakamura; Takayuki Matsumoto; Naoya Hatano; Masakazu Shinohara; Yasuhiro Irino; Tadaomi Takenawa; Takeshi Azuma; Masaru Yoshida
Journal:  Inflamm Res       Date:  2011-04-27       Impact factor: 4.575

9.  Urinary metabonomic study on colorectal cancer.

Authors:  Yunping Qiu; Guoxiang Cai; Mingming Su; Tianlu Chen; Yumin Liu; Ye Xu; Yan Ni; Aihua Zhao; Sanjun Cai; Lisa X Xu; Wei Jia
Journal:  J Proteome Res       Date:  2010-03-05       Impact factor: 4.466

10.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

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  22 in total

1.  Regulation of the metabolite profile by an APC gene mutation in colorectal cancer.

Authors:  Tomoo Yoshie; Shin Nishiumi; Yoshihiro Izumi; Aya Sakai; Jun Inoue; Takeshi Azuma; Masaru Yoshida
Journal:  Cancer Sci       Date:  2012-04-12       Impact factor: 6.716

2.  Metabolomics for the early detection of cisplatin-induced nephrotoxicity.

Authors:  Takeshi Ezaki; Shin Nishiumi; Takeshi Azuma; Masaru Yoshida
Journal:  Toxicol Res (Camb)       Date:  2017-08-29       Impact factor: 3.524

3.  Compensatory glutamine metabolism promotes glioblastoma resistance to mTOR inhibitor treatment.

Authors:  Kazuhiro Tanaka; Takashi Sasayama; Yasuhiro Irino; Kumi Takata; Hiroaki Nagashima; Naoko Satoh; Katsusuke Kyotani; Takashi Mizowaki; Taichiro Imahori; Yasuo Ejima; Kenta Masui; Beatrice Gini; Huijun Yang; Kohkichi Hosoda; Ryohei Sasaki; Paul S Mischel; Eiji Kohmura
Journal:  J Clin Invest       Date:  2015-03-23       Impact factor: 14.808

Review 4.  Metabolomics as a diagnostic tool in gastroenterology.

Authors:  Vicky De Preter; Kristin Verbeke
Journal:  World J Gastrointest Pharmacol Ther       Date:  2013-11-06

5.  Serum metabolomics analysis for early detection of colorectal cancer.

Authors:  Kazuhiko Uchiyama; Nobuaki Yagi; Katsura Mizushima; Yasuki Higashimura; Yasuko Hirai; Tetsuya Okayama; Naohisa Yoshida; Kazuhiro Katada; Kazuhiro Kamada; Osamu Handa; Takeshi Ishikawa; Tomohisa Takagi; Hideyuki Konishi; Yoshiaki Kuriu; Masayoshi Nakanishi; Eigo Otsuji; Yoshito Itoh; Yuji Naito
Journal:  J Gastroenterol       Date:  2016-09-20       Impact factor: 7.527

Review 6.  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

7.  Metabolomics evaluation of serum markers for cachexia and their intra-day variation in patients with advanced pancreatic cancer.

Authors:  Yutaka Fujiwara; Takashi Kobayashi; Naoko Chayahara; Yoshinori Imamura; Masanori Toyoda; Naomi Kiyota; Toru Mukohara; Shin Nishiumi; Takeshi Azuma; Masaru Yoshida; Hironobu Minami
Journal:  PLoS One       Date:  2014-11-20       Impact factor: 3.240

8.  GC/MS-based metabolomic analysis of cerebrospinal fluid (CSF) from glioma patients.

Authors:  Satoshi Nakamizo; Takashi Sasayama; Masakazu Shinohara; Yasuhiro Irino; Shin Nishiumi; Masamitsu Nishihara; Hirotomo Tanaka; Kazuhiro Tanaka; Katsu Mizukawa; Tomoo Itoh; Masaaki Taniguchi; Kohkichi Hosoda; Masaru Yoshida; Eiji Kohmura
Journal:  J Neurooncol       Date:  2013-03-01       Impact factor: 4.130

9.  A novel serum metabolomics-based diagnostic approach for colorectal cancer.

Authors:  Shin Nishiumi; Takashi Kobayashi; Atsuki Ikeda; Tomoo Yoshie; Megumi Kibi; Yoshihiro Izumi; Tatsuya Okuno; Nobuhide Hayashi; Seiji Kawano; Tadaomi Takenawa; Takeshi Azuma; Masaru Yoshida
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

10.  Metabolomics for biomarker discovery in gastroenterological cancer.

Authors:  Shin Nishiumi; Makoto Suzuki; Takashi Kobayashi; Atsuki Matsubara; Takeshi Azuma; Masaru Yoshida
Journal:  Metabolites       Date:  2014-07-07
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