Literature DB >> 25531874

LC-MS analysis of the plasma metabolome--a novel sample preparation strategy.

Kasper Skov1, Niels Hadrup2, Jørn Smedsgaard3, Henrik Frandsen3.   

Abstract

Blood plasma is a well-known body fluid often analyzed in studies on the effects of toxic compounds as physiological or chemical induced changes in the mammalian body are reflected in the plasma metabolome. Sample preparation prior to LC-MS based analysis of the plasma metabolome is a challenge as plasma contains compounds with very different properties. Besides, proteins, which usually are precipitated with organic solvent, phospholipids, are known to cause ion suppression in electrospray mass spectrometry. We have compared two different sample preparation techniques prior to LC-qTOF analysis of plasma samples: the first is protein precipitation; the second is protein precipitation followed by solid phase extraction with sub-fractionation into three sub-samples: a phospholipid, a lipid and a polar sub-fraction. Molecular feature extraction of the data files from LC-qTOF analysis of the samples revealed 1792 molecular features from the protein precipitation procedure. The protein precipitation followed by solid phase extraction procedure with three sub-samples gave a total of 4234 molecular features. This suggests that sub-sampling into polar, lipid and phospholipid fractions enables extraction of more metabolomic information as compared to protein precipitation alone. Chromatography showed good separation of the metabolites with little retention time drift (<1s) and a mass accuracy below 3 ppm was observed. The performance of the method was investigated using plasma samples from rats administered the environmental pollutant perfluorononanoic acid.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  LC–MS; Metabolomics; Plasma samples; Solid phase extraction

Mesh:

Substances:

Year:  2014        PMID: 25531874     DOI: 10.1016/j.jchromb.2014.11.033

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  6 in total

1.  Evaluation of sample preparation protocols for quantitative NMR-based metabolomics.

Authors:  Olga A Snytnikova; Anastasiya A Khlichkina; Renad Z Sagdeev; Yuri P Tsentalovich
Journal:  Metabolomics       Date:  2019-05-24       Impact factor: 4.290

2.  Juvenile Male Rats Exposed to a Low-Dose Mixture of Twenty-Seven Environmental Chemicals Display Adverse Health Effects.

Authors:  Niels Hadrup; Terje Svingen; Karen Mandrup; Kasper Skov; Mikael Pedersen; Hanne Frederiksen; Henrik Lauritz Frandsen; Anne Marie Vinggaard
Journal:  PLoS One       Date:  2016-09-06       Impact factor: 3.240

3.  Systematic Assessment of Seven Solvent and Solid-Phase Extraction Methods for Metabolomics Analysis of Human Plasma by LC-MS.

Authors:  Dmitri G Sitnikov; Cian S Monnin; Dajana Vuckovic
Journal:  Sci Rep       Date:  2016-12-21       Impact factor: 4.379

4.  Metabolic profiling putatively identifies plasma biomarkers of male infertility using UPLC-ESI-IT-TOFMS.

Authors:  F J Zeng; H C Ji; Z M Zhang; J K Luo; H M Lu; Y Wang
Journal:  RSC Adv       Date:  2018-07-19       Impact factor: 4.036

5.  Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery.

Authors:  Daisuke Saigusa; Yasunobu Okamura; Ikuko N Motoike; Yasutake Katoh; Yasuhiro Kurosawa; Reina Saijyo; Seizo Koshiba; Jun Yasuda; Hozumi Motohashi; Junichi Sugawara; Osamu Tanabe; Kengo Kinoshita; Masayuki Yamamoto
Journal:  PLoS One       Date:  2016-08-31       Impact factor: 3.240

6.  New plasma preparation approach to enrich metabolome coverage in untargeted metabolomics: plasma protein bound hydrophobic metabolite release with proteinase K.

Authors:  Renata Wawrzyniak; Anna Kosnowska; Szymon Macioszek; Rafał Bartoszewski; Michał Jan Markuszewski
Journal:  Sci Rep       Date:  2018-06-22       Impact factor: 4.379

  6 in total

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