Literature DB >> 20547363

Influences of biofluid sample collection and handling procedures on GC-MS based metabolomic studies.

Kiyoko Bando1, Rui Kawahara, Takeshi Kunimatsu, Jun Sakai, Juki Kimura, Hitoshi Funabashi, Takaki Seki, Takeshi Bamba, Eiichiro Fukusaki.   

Abstract

Sample collection procedures of pharmacology and toxicology studies might have a great impact on interpretation of metabolomic study results. Characterization of range variation among sample collection methods is necessary to prevent misinterpretation, as is use of optimal methods in animal experiments to minimize biological/technical variation. Here, we investigated the influence of urine and plasma sample collection and handling procedures on GC-MS based metabolomic studies as follows: for urine, pooling period and tube conditions during collection; for plasma, sampling sites, anesthesia and anticoagulants. Metabolic profiles of urine varied dramatically depending on urine pooling period and tube conditions, underscoring the importance of determining appropriate sampling periods in consideration of diurnal effects and targets of effect/toxicity, and suggesting it would be preferable to keep tubes in metabolic cages under iced conditions for urine sampling. Metabolic profiles of plasma differed depending on blood sampling sites. Anesthesia was not effective in reducing individual variation, although the anesthesia was beneficial in reducing discomfort in rats. In GC-MS based metabolomic studies, we recommend that EDTA be used as anticoagulant in plasma sample preparation, because peaks derived from heparin might overlap with endogenous metabolites, which may induce inter-sample variation. The present study demonstrated that biofluid sample collection and handling procedures provide great impact on metabolic profiles, at the very least for minimizing biological/technical variation, sampling period for urine collection should not be set as a short period, and the use of EDTA is recommended as anticoagulant in preparing plasma for analysis by GC-MS.
Copyright © 2010 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20547363     DOI: 10.1016/j.jbiosc.2010.04.010

Source DB:  PubMed          Journal:  J Biosci Bioeng        ISSN: 1347-4421            Impact factor:   2.894


  12 in total

1.  NMR Metabolomics Protocols for Drug Discovery.

Authors:  Fatema Bhinderwala; Robert Powers
Journal:  Methods Mol Biol       Date:  2019

2.  NMR Metabolomics Analysis of Parkinson's Disease.

Authors:  Shulei Lei; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

3.  Differences between human plasma and serum metabolite profiles.

Authors:  Zhonghao Yu; Gabi Kastenmüller; Ying He; Petra Belcredi; Gabriele Möller; Cornelia Prehn; Joaquim Mendes; Simone Wahl; Werner Roemisch-Margl; Uta Ceglarek; Alexey Polonikov; Norbert Dahmen; Holger Prokisch; Lu Xie; Yixue Li; H-Erich Wichmann; Annette Peters; Florian Kronenberg; Karsten Suhre; Jerzy Adamski; Thomas Illig; Rui Wang-Sattler
Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

4.  Profiling of plasma metabolites in canine oral melanoma using gas chromatography-mass spectrometry.

Authors:  Mifumi Kawabe; Yuta Baba; Reo Tamai; Ryohei Yamamoto; Masayuki Komori; Takashi Mori; Shigeo Takenaka
Journal:  J Vet Med Sci       Date:  2015-05-04       Impact factor: 1.267

5.  Multiple-stressor effects in an apex predator: combined influence of pollutants and sea ice decline on lipid metabolism in polar bears.

Authors:  Sabrina Tartu; Roger Lille-Langøy; Trond R Størseth; Sophie Bourgeon; Anders Brunsvik; Jon Aars; Anders Goksøyr; Bjørn Munro Jenssen; Anuschka Polder; Gregory W Thiemann; Vidar Torget; Heli Routti
Journal:  Sci Rep       Date:  2017-11-28       Impact factor: 4.379

6.  The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry.

Authors:  Manoj Khadka; Andrei Todor; Kristal M Maner-Smith; Jennifer K Colucci; ViLinh Tran; David A Gaul; Evan J Anderson; Muktha S Natrajan; Nadine Rouphael; Mark J Mulligan; Circe E McDonald; Mehul Suthar; Shuzhao Li; Eric A Ortlund
Journal:  Biomolecules       Date:  2019-05-23

7.  Plasma-free amino acid profiles in dogs with hepatocellular carcinoma.

Authors:  Rommaneeya Leela-Arporn; Hiroshi Ohta; Masahiro Tamura; Noriyuki Nagata; Kazuyoshi Sasaoka; Angkhana Dermlim; Khoirun Nisa; Tatsuyuki Osuga; Keitaro Morishita; Noboru Sasaki; Mitsuyoshi Takiguchi
Journal:  J Vet Intern Med       Date:  2019-05-08       Impact factor: 3.333

8.  Effects of Moxibustion and Moxa Smoke on Behavior Changes and Energy Metabolism in APP/PS1 Mice.

Authors:  Lue Ha; Mengyun Yu; Zhiyi Yan; Zhang Rui; Baixiao Zhao
Journal:  Evid Based Complement Alternat Med       Date:  2019-08-14       Impact factor: 2.629

9.  Impact of collection conditions on the metabolite content of human urine samples as analyzed by liquid chromatography coupled to mass spectrometry and nuclear magnetic resonance spectroscopy.

Authors:  Aurélie Roux; Etienne A Thévenot; François Seguin; Marie-Françoise Olivier; Christophe Junot
Journal:  Metabolomics       Date:  2014-12-23       Impact factor: 4.290

10.  Main Human Urinary Metabolites after Genipap (Genipa americana L.) Juice Intake.

Authors:  Livia Dickson; Mathieu Tenon; Ljubica Svilar; Pascale Fança-Berthon; Raphael Lugan; Jean-Charles Martin; Fabrice Vaillant; Hervé Rogez
Journal:  Nutrients       Date:  2018-08-24       Impact factor: 5.717

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.