Literature DB >> 25820922

Effects of processing and storage conditions on charged metabolomic profiles in blood.

Akiyoshi Hirayama1, Masahiro Sugimoto1, Asako Suzuki1, Yoko Hatakeyama1, Ayame Enomoto1, Sei Harada2, Tomoyoshi Soga1, Masaru Tomita1, Toru Takebayashi2.   

Abstract

The development of high-throughput metabolite measurement technologies has enabled the use of metabolomics for epidemiologic studies by profiling metabolite concentrations in large cohorts of human blood samples. Standard protocols are necessary to obtain unbiased profiles through multiple runs over long periods of time and to allow reliable statistical analyses. This study assessed the effects of sampling procedures and storage conditions on the stability of metabolomic profiles in plasma and serum. Charged metabolomic profiles were determined by capillary electrophoresis-mass spectrometry (CE-MS) and compared by multivariate analyses. The effects of pre-analytical procedures, including times for clotting and incubation of serum and plasma, respectively; incubation temperatures; and number of freeze-thaw cycles, were assessed. Overall, inter-individual differences in profiles were larger than intra-individual differences, and profiles in plasma showed better stability than those in serum. These quantified datasets of metabolites, along with their stability and variation, may help in interpreting data from long-term cohort studies.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Capillary electrophoresis-mass spectrometry; Metabolomics; Plasma; Serum

Year:  2015        PMID: 25820922     DOI: 10.1002/elps.201400600

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  32 in total

1.  A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS.

Authors:  Manuja Kaluarachchi; Claire L Boulangé; Ibrahim Karaman; John C Lindon; Timothy M D Ebbels; Paul Elliott; Russell P Tracy; Nels C Olson
Journal:  Metabolomics       Date:  2018-02-13       Impact factor: 4.290

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

Authors:  Masahiro Sugimoto; Yumi Aizawa
Journal:  Methods Mol Biol       Date:  2023

3.  Data Processing and Analysis in Liquid Chromatography-Mass Spectrometry-Based Targeted Metabolomics.

Authors:  Masahiro Sugimoto; Yumi Aizawa; Atsumi Tomita
Journal:  Methods Mol Biol       Date:  2023

Review 4.  Changes in Metabolism as a Diagnostic Tool for Lung Cancer: Systematic Review.

Authors:  Hanne Mariën; Elien Derveaux; Karolien Vanhove; Peter Adriaensens; Michiel Thomeer; Liesbet Mesotten
Journal:  Metabolites       Date:  2022-06-14

Review 5.  Metabolomics study of oral cancers.

Authors:  Xun Chen; Dongsheng Yu
Journal:  Metabolomics       Date:  2019-02-08       Impact factor: 4.290

6.  Metabolomics in Glaucoma: A Systematic Review.

Authors:  Ying Wang; Xiao-Wen Hou; Gang Liang; Chen-Wei Pan
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-05-03       Impact factor: 4.799

7.  A Metabolomic Profile Predictive of New Osteoporosis or Sarcopenia Development.

Authors:  Kana Miyamoto; Akiyoshi Hirayama; Yuiko Sato; Satsuki Ikeda; Midori Maruyama; Tomoyoshi Soga; Masaru Tomita; Masaya Nakamura; Morio Matsumoto; Noriko Yoshimura; Takeshi Miyamoto
Journal:  Metabolites       Date:  2021-04-28

8.  Reproducible molecular networking of untargeted mass spectrometry data using GNPS.

Authors:  Allegra T Aron; Emily C Gentry; Kerry L McPhail; Louis-Félix Nothias; Mélissa Nothias-Esposito; Amina Bouslimani; Daniel Petras; Julia M Gauglitz; Nicole Sikora; Fernando Vargas; Justin J J van der Hooft; Madeleine Ernst; Kyo Bin Kang; Christine M Aceves; Andrés Mauricio Caraballo-Rodríguez; Irina Koester; Kelly C Weldon; Samuel Bertrand; Catherine Roullier; Kunyang Sun; Richard M Tehan; Cristopher A Boya P; Martin H Christian; Marcelino Gutiérrez; Aldo Moreno Ulloa; Javier Andres Tejeda Mora; Randy Mojica-Flores; Johant Lakey-Beitia; Victor Vásquez-Chaves; Yilue Zhang; Angela I Calderón; Nicole Tayler; Robert A Keyzers; Fidele Tugizimana; Nombuso Ndlovu; Alexander A Aksenov; Alan K Jarmusch; Robin Schmid; Andrew W Truman; Nuno Bandeira; Mingxun Wang; Pieter C Dorrestein
Journal:  Nat Protoc       Date:  2020-05-13       Impact factor: 17.021

9.  Profiling of plasma metabolites in postmenopausal women with metabolic syndrome.

Authors:  Miho Iida; Sei Harada; Ayako Kurihara; Kota Fukai; Kazuyo Kuwabara; Daisuke Sugiyama; Ayano Takeuchi; Tomonori Okamura; Miki Akiyama; Yuji Nishiwaki; Asako Suzuki; Akiyoshi Hirayama; Masahiro Sugimoto; Tomoyoshi Soga; Masaru Tomita; Kouji Banno; Daisuke Aoki; Toru Takebayashi
Journal:  Menopause       Date:  2016-07       Impact factor: 2.953

10.  The Tohoku Medical Megabank Project: Design and Mission.

Authors:  Shinichi Kuriyama; Nobuo Yaegashi; Fuji Nagami; Tomohiko Arai; Yoshio Kawaguchi; Noriko Osumi; Masaki Sakaida; Yoichi Suzuki; Keiko Nakayama; Hiroaki Hashizume; Gen Tamiya; Hiroshi Kawame; Kichiya Suzuki; Atsushi Hozawa; Naoki Nakaya; Masahiro Kikuya; Hirohito Metoki; Ichiro Tsuji; Nobuo Fuse; Hideyasu Kiyomoto; Junichi Sugawara; Akito Tsuboi; Shinichi Egawa; Kiyoshi Ito; Koichi Chida; Tadashi Ishii; Hiroaki Tomita; Yasuyuki Taki; Naoko Minegishi; Naoto Ishii; Jun Yasuda; Kazuhiko Igarashi; Ritsuko Shimizu; Masao Nagasaki; Seizo Koshiba; Kengo Kinoshita; Soichi Ogishima; Takako Takai-Igarashi; Teiji Tominaga; Osamu Tanabe; Noriaki Ohuchi; Toru Shimosegawa; Shigeo Kure; Hiroshi Tanaka; Sadayoshi Ito; Jiro Hitomi; Kozo Tanno; Motoyuki Nakamura; Kuniaki Ogasawara; Seiichiro Kobayashi; Kiyomi Sakata; Mamoru Satoh; Atsushi Shimizu; Makoto Sasaki; Ryujin Endo; Kenji Sobue; The Tohoku Medical Megabank Project Study Group; Masayuki Yamamoto
Journal:  J Epidemiol       Date:  2016-07-02       Impact factor: 3.211

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