Literature DB >> 29258730

Differences in metabolite profiles caused by pre-analytical blood processing procedures.

Shin Nishiumi1, Makoto Suzuki1, Takashi Kobayashi1, Masaru Yoshida2.   

Abstract

Recently, the use of metabolomic analysis of human serum and plasma for biomarker discovery and disease diagnosis in clinical studies has been increasing. The feasibility of using a metabolite biomarker for disease diagnosis is strongly dependent on the metabolite's stability during pre-analytical blood processing procedures, such as serum or plasma sampling and sample storage prior to centrifugation. However, the influence of blood processing procedures on the stability of metabolites has not been fully characterized. In the present study, we compared the levels of metabolites in matched human serum and plasma samples using gas chromatography coupled with mass spectrometry and liquid chromatography coupled with mass spectrometry. In addition, we evaluated the changes in plasma metabolite levels induced by storage at room temperature or at a cold temperature prior to centrifugation. As a result, it was found that 76 metabolites exhibited significant differences between their serum and plasma levels. Furthermore, the pre-centrifugation storage conditions significantly affected the plasma levels of 45 metabolites. These results highlight the importance of blood processing procedures during metabolome analysis, which should be considered during biomarker discovery and the subsequent use of biomarkers for disease diagnosis.
Copyright © 2017 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood processing; Mass spectrometry; Metabolomics; Plasma; Serum

Mesh:

Substances:

Year:  2017        PMID: 29258730     DOI: 10.1016/j.jbiosc.2017.11.011

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


  9 in total

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3.  Specimen Collection for Translational Studies in Hidradenitis Suppurativa.

Authors:  A S Byrd; Y Dina; U J Okoh; Q Q Quartey; C Carmona-Rivera; D W Williams; M L Kerns; R J Miller; L Petukhova; H B Naik; L A Barnes; W D Shipman; J A Caffrey; J M Sacks; S M Milner; O Aliu; K P Broderick; D Kim; H Liu; C A Dillen; R Ahn; J W Frew; M J Kaplan; S Kang; L A Garza; L S Miller; A Alavi; M A Lowes; G A Okoye
Journal:  Sci Rep       Date:  2019-08-21       Impact factor: 4.379

4.  The Effect of Pre-Analytical Conditions on Blood Metabolomics in Epidemiological Studies.

Authors:  Diana L Santos Ferreira; Hannah J Maple; Matt Goodwin; Judith S Brand; Vikki Yip; Josine L Min; Alix Groom; Debbie A Lawlor; Susan Ring
Journal:  Metabolites       Date:  2019-04-03

5.  Plasma osteopontin as a biomarker of Alzheimer's disease and vascular cognitive impairment.

Authors:  Yuek Ling Chai; Joyce R Chong; Ainiah R Raquib; Xin Xu; Saima Hilal; Narayanaswamy Venketasubramanian; Boon Yeow Tan; Alan P Kumar; Gautam Sethi; Christopher P Chen; Mitchell K P Lai
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379

6.  Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension.

Authors:  Nikolaos G Bliziotis; Leo A J Kluijtmans; Gerjen H Tinnevelt; Parminder Reel; Smarti Reel; Katharina Langton; Mercedes Robledo; Christina Pamporaki; Alessio Pecori; Josie Van Kralingen; Martina Tetti; Udo F H Engelke; Zoran Erlic; Jasper Engel; Timo Deutschbein; Svenja Nölting; Aleksander Prejbisz; Susan Richter; Jerzy Adamski; Andrzej Januszewicz; Filippo Ceccato; Carla Scaroni; Michael C Dennedy; Tracy A Williams; Livia Lenzini; Anne-Paule Gimenez-Roqueplo; Eleanor Davies; Martin Fassnacht; Hanna Remde; Graeme Eisenhofer; Felix Beuschlein; Matthias Kroiss; Emily Jefferson; Maria-Christina Zennaro; Ron A Wevers; Jeroen J Jansen; Jaap Deinum; Henri J L M Timmers
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Review 7.  From Samples to Insights into Metabolism: Uncovering Biologically Relevant Information in LC-HRMS Metabolomics Data.

Authors:  Julijana Ivanisevic; Elizabeth J Want
Journal:  Metabolites       Date:  2019-12-17

8.  A Comparison of Serum and Plasma Blood Collection Tubes for the Integration of Epidemiological and Metabolomics Data.

Authors:  Jennie Sotelo-Orozco; Shin-Yu Chen; Irva Hertz-Picciotto; Carolyn M Slupsky
Journal:  Front Mol Biosci       Date:  2021-07-08

9.  Serum or Plasma (and Which Plasma), That Is the Question.

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  9 in total

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