Literature DB >> 33659451

Quantification of Salivary Charged Metabolites using Capillary Electrophoresis Time-of-flight-mass Spectrometry.

Masahiro Sugimoto1,2, Sana Ota2, Miku Kaneko2, Ayame Enomoto2, Tomoyoshi Soga2.   

Abstract

Salivary metabolomics have provided the potentials to detect both oral and systemic diseases. Capillary electrophoresis time-of-flight-mass spectrometry (CE-TOFMS) enables the identification and quantification of various charged metabolites. This method has been employed to biomarker discoveries using human saliva samples, especially for various types of cancers. The untargeted analysis contributes to finding new biomarkers. i.e., the analysis of all detectable signals including both known and unknown metabolites extends the coverage of metabolite to be observed. However, the observed data includes thousands of peaks. Besides, non-linear migration time fluctuation and skewed peaks are caused by the sample condition. The presented pretreatment protocols of saliva samples enhance the reproducibility of migration time drift, which facilitates the matching peaks across the samples and also results in reproducible absolute concentrations of the detected metabolites. The described protocols are utilized not only for saliva but for any liquid samples with slight modifications.
Copyright © 2020 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Cancer; Capillary electrophoresis-mass spectrometry; Metabolomics; Polyamine; Saliva

Year:  2020        PMID: 33659451      PMCID: PMC7842545          DOI: 10.21769/BioProtoc.3797

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  26 in total

Review 1.  Salivary biomarkers: toward future clinical and diagnostic utilities.

Authors:  Janice M Yoshizawa; Christopher A Schafer; Jason J Schafer; James J Farrell; Bruce J Paster; David T W Wong
Journal:  Clin Microbiol Rev       Date:  2013-10       Impact factor: 26.132

Review 2.  Recent trends of saliva omics biomarkers for the diagnosis and treatment of oral cancer.

Authors:  Indranil Chattopadhyay; Madhusmita Panda
Journal:  J Oral Biosci       Date:  2019-03-23

3.  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

4.  Discrimination of oral squamous cell carcinoma from oral lichen planus by salivary metabolomics.

Authors:  Shigeo Ishikawa; Masahiro Sugimoto; Kaoru Edamatsu; Ayako Sugano; Kenichiro Kitabatake; Mitsuyoshi Iino
Journal:  Oral Dis       Date:  2019-11-13       Impact factor: 3.511

Review 5.  Salivary biomarkers in cancer detection.

Authors:  Xiaoqian Wang; Karolina Elżbieta Kaczor-Urbanowicz; David T W Wong
Journal:  Med Oncol       Date:  2016-12-10       Impact factor: 3.064

6.  Investigation and identification of potential biomarkers in human saliva for the early diagnosis of oral squamous cell carcinoma.

Authors:  Qihui Wang; Pan Gao; Xiaoyi Wang; Yixiang Duan
Journal:  Clin Chim Acta       Date:  2013-10-19       Impact factor: 3.786

7.  Identification of salivary metabolomic biomarkers for oral cancer screening.

Authors:  Shigeo Ishikawa; Masahiro Sugimoto; Kenichiro Kitabatake; Ayako Sugano; Marina Nakamura; Miku Kaneko; Sana Ota; Kana Hiwatari; Ayame Enomoto; Tomoyoshi Soga; Masaru Tomita; Mitsuyoshi Iino
Journal:  Sci Rep       Date:  2016-08-19       Impact factor: 4.379

8.  Elevated Polyamines in Saliva of Pancreatic Cancer.

Authors:  Yasutsugu Asai; Takao Itoi; Masahiro Sugimoto; Atsushi Sofuni; Takayoshi Tsuchiya; Reina Tanaka; Ryosuke Tonozuka; Mitsuyoshi Honjo; Shuntaro Mukai; Mitsuru Fujita; Kenjiro Yamamoto; Yukitoshi Matsunami; Takashi Kurosawa; Yuichi Nagakawa; Miku Kaneko; Sana Ota; Shigeyuki Kawachi; Motohide Shimazu; Tomoyoshi Soga; Masaru Tomita; Makoto Sunamura
Journal:  Cancers (Basel)       Date:  2018-02-05       Impact factor: 6.639

9.  Effect of storage conditions on salivary polyamines quantified via liquid chromatography-mass spectrometry.

Authors:  Atsumi Tomita; Masayo Mori; Kana Hiwatari; Eri Yamaguchi; Takao Itoi; Makoto Sunamura; Tomoyoshi Soga; Masaru Tomita; Masahiro Sugimoto
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

Review 10.  Saliva and Oral Diseases.

Authors:  Emanuela Martina; Anna Campanati; Federico Diotallevi; Annamaria Offidani
Journal:  J Clin Med       Date:  2020-02-08       Impact factor: 4.241

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  3 in total

Review 1.  Salivary Metabolomics for Oral Cancer Detection: A Narrative Review.

Authors:  Karthika Panneerselvam; Shigeo Ishikawa; Rajkumar Krishnan; Masahiro Sugimoto
Journal:  Metabolites       Date:  2022-05-12

2.  Long-Term Mastication Changed Salivary Metabolomic Profiles.

Authors:  Yoji Saeki; Akane Takenouchi; Etsuyo Otani; Minji Kim; Yumi Aizawa; Yasuko Aita; Atsumi Tomita; Masahiro Sugimoto; Takashi Matsukubo
Journal:  Metabolites       Date:  2022-07-18

3.  Salivary metabolomics with machine learning for colorectal cancer detection.

Authors:  Hiroshi Kuwabara; Kenji Katsumata; Atsuhiro Iwabuchi; Ryutaro Udo; Tomoya Tago; Kenta Kasahara; Junichi Mazaki; Masanobu Enomoto; Tetsuo Ishizaki; Ryoko Soya; Miku Kaneko; Sana Ota; Ayame Enomoto; Tomoyoshi Soga; Masaru Tomita; Makoto Sunamura; Akihiko Tsuchida; Masahiro Sugimoto; Yuichi Nagakawa
Journal:  Cancer Sci       Date:  2022-07-08       Impact factor: 6.518

  3 in total

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