Literature DB >> 36152152

Metabolomics Analysis of Blood, Urine, and Saliva Samples Based on Capillary Electrophoresis-Mass Spectrometry.

Masahiro Sugimoto1,2, Yumi Aizawa3.   

Abstract

Capillary electrophoresis-mass spectrometry (CE-MS) is an ideal method for analyzing various metabolites in biological samples. CE-MS can simultaneously identify and quantify hundreds of charged metabolites using only two acquisition methods for positively and negatively charged metabolites. Furthermore, CE-MS is commonly used for analyzing biological samples to understand the pathology of diseases at the metabolic level and biofluid samples, such as blood and urine, to explore biomarkers. Here, we introduce a protocol that delineates the handling of clinical samples to ensure that the CE-MS analysis yields reproducible quantified data. We have focused on sample collection, storage, processing, and measurement. Although the implementation of rigorous standard operating protocols is preferred for enhancing the quality of the samples, various limitations in an actual clinical setting make it difficult to adhere to strict rules. Therefore, the effect of each process on the quantified metabolites needs to be evaluated to design a protocol with acceptable tolerances. Furthermore, quality controls and assessments to handle clinical samples are introduced.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biofluid; Capillary electrophoresis–mass spectrometry; Clinical samples

Mesh:

Substances:

Year:  2023        PMID: 36152152     DOI: 10.1007/978-1-0716-2699-3_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

1.  Identification of salivary metabolites for oral squamous cell carcinoma and oral epithelial dysplasia screening from persistent suspicious oral mucosal lesions.

Authors:  Shigeo Ishikawa; David T W Wong; Masahiro Sugimoto; Frederico Omar Gleber-Netto; Feng Li; Michael Tu; Yong Zhang; David Akin; Mitsuyoshi Iino
Journal:  Clin Oral Investig       Date:  2018-12-11       Impact factor: 3.573

2.  Effects of inter-day and intra-day variation on salivary metabolomic profiles.

Authors:  Norishige Kawanishi; Noriyuki Hoshi; Sugimoto Masahiro; Ayame Enomoto; Sana Ota; Miku Kaneko; Tomoyoshi Soga; Masaru Tomita; Katsuhiko Kimoto
Journal:  Clin Chim Acta       Date:  2018-11-24       Impact factor: 3.786

3.  Global metabolic reprogramming of colorectal cancer occurs at adenoma stage and is induced by MYC.

Authors:  Kiyotoshi Satoh; Shinichi Yachida; Masahiro Sugimoto; Minoru Oshima; Toshitaka Nakagawa; Shintaro Akamoto; Sho Tabata; Kaori Saitoh; Keiko Kato; Saya Sato; Kaori Igarashi; Yumi Aizawa; Rie Kajino-Sakamoto; Yasushi Kojima; Teruaki Fujishita; Ayame Enomoto; Akiyoshi Hirayama; Takamasa Ishikawa; Makoto Mark Taketo; Yoshio Kushida; Reiji Haba; Keiichi Okano; Masaru Tomita; Yasuyuki Suzuki; Shinji Fukuda; Masahiro Aoki; Tomoyoshi Soga
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-28       Impact factor: 11.205

4.  Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination.

Authors:  Takeshi Murata; Takako Yanagisawa; Toshiaki Kurihara; Miku Kaneko; Sana Ota; Ayame Enomoto; Masaru Tomita; Masahiro Sugimoto; Makoto Sunamura; Tetsu Hayashida; Yuko Kitagawa; Hiromitsu Jinno
Journal:  Breast Cancer Res Treat       Date:  2019-07-08       Impact factor: 4.872

5.  Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles.

Authors:  Masahiro Sugimoto; David T Wong; Akiyoshi Hirayama; Tomoyoshi Soga; Masaru Tomita
Journal:  Metabolomics       Date:  2009-09-10       Impact factor: 4.290

6.  Quantitative metabolome profiling of colon and stomach cancer microenvironment by capillary electrophoresis time-of-flight mass spectrometry.

Authors:  Akiyoshi Hirayama; Kenjiro Kami; Masahiro Sugimoto; Maki Sugawara; Naoko Toki; Hiroko Onozuka; Taira Kinoshita; Norio Saito; Atsushi Ochiai; Masaru Tomita; Hiroyasu Esumi; Tomoyoshi Soga
Journal:  Cancer Res       Date:  2009-05-19       Impact factor: 12.701

7.  Salivary metabolomics for cancer detection.

Authors:  Masahiro Sugimoto
Journal:  Expert Rev Proteomics       Date:  2020-11-12       Impact factor: 3.940

8.  Effect of masticatory stimulation on the quantity and quality of saliva and the salivary metabolomic profile.

Authors:  Nobuyuki Okuma; Makiko Saita; Noriyuki Hoshi; Tomoyoshi Soga; Masaru Tomita; Masahiro Sugimoto; Katsuhiko Kimoto
Journal:  PLoS One       Date:  2017-08-15       Impact factor: 3.240

Review 9.  CE-MS for metabolomics: Developments and applications in the period 2018-2020.

Authors:  Wei Zhang; Rawi Ramautar
Journal:  Electrophoresis       Date:  2020-10-04       Impact factor: 3.535

10.  Urinary charged metabolite profiling of colorectal cancer using capillary electrophoresis-mass spectrometry.

Authors:  Ryutaro Udo; Kenji Katsumata; Hiroshi Kuwabara; Masanobu Enomoto; Tetsuo Ishizaki; Makoto Sunamura; Yuichi Nagakawa; Ryoko Soya; Masahiro Sugimoto; Akihiko Tsuchida
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

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