Literature DB >> 17964273

Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultra-performance liquid chromatography/mass spectrometry: From extraction to data analysis.

Stephen J Bruce1, Pär Jonsson, Henrik Antti, Olivier Cloarec, Johan Trygg, Stefan L Marklund, Thomas Moritz.   

Abstract

The investigation presented here describes a protocol designed to perform high-throughput metabolic profiling analysis on human blood plasma by ultra-performance liquid chromatography/mass spectrometry (UPLC/MS). To address whether a previous extraction protocol for gas chromatography (GC)/MS-based metabolic profiling of plasma could be used for UPLC/MS-based analysis, the original protocol was compared with similar methods for extraction of low-molecular-weight compounds from plasma via protein precipitation. Differences between extraction methods could be observed, but the previously published extraction method was considered the best. UPLC columns with three different stationary phases (C8, C18, and phenyl) were used in identical experimental runs consisting of a total of 60 injections of extracted male and female plasma samples. The C8 column was determined to be the best for metabolic profiling analysis on plasma. The acquired UPLC/MS data of extracted male and female plasma samples was subjected to principal component analysis (PCA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA). Furthermore, a strategy for compound identification was applied here, demonstrating the strength of high-mass-accuracy time-of-flight (TOF)/MS analysis in metabolic profiling.

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Year:  2007        PMID: 17964273     DOI: 10.1016/j.ab.2007.09.037

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  9 in total

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Authors:  Francesco Bonardi; Fabrizia Fusetti; Patrick Deelen; Djoke van Gosliga; Edo Vellenga; Jan Jacob Schuringa
Journal:  Mol Cell Proteomics       Date:  2012-12-11       Impact factor: 5.911

2.  Validation of a dual LC-HRMS platform for clinical metabolic diagnosis in serum, bridging quantitative analysis and untargeted metabolomics.

Authors:  Ilya Gertsman; Jon A Gangoiti; Bruce A Barshop
Journal:  Metabolomics       Date:  2014-04-04       Impact factor: 4.290

Review 3.  Opening up the "Black Box": metabolic phenotyping and metabolome-wide association studies in epidemiology.

Authors:  Magda Bictash; Timothy M Ebbels; Queenie Chan; Ruey Leng Loo; Ivan K S Yap; Ian J Brown; Maria de Iorio; Martha L Daviglus; Elaine Holmes; Jeremiah Stamler; Jeremy K Nicholson; Paul Elliott
Journal:  J Clin Epidemiol       Date:  2010-01-08       Impact factor: 6.437

4.  A mass spectrometric study for comparative analysis and evaluation of metabolite recovery from plasma by various solvent systems.

Authors:  Anwesha Dutta; Premalatha Shetty; Smitha Bhat; Yeshaswini Ramachandra; Shrinidhi Hegde
Journal:  J Biomol Tech       Date:  2012-12

5.  Metabolomics as a tool for discovery of biomarkers of autism spectrum disorder in the blood plasma of children.

Authors:  Paul R West; David G Amaral; Preeti Bais; Alan M Smith; Laura A Egnash; Mark E Ross; Jessica A Palmer; Burr R Fontaine; Kevin R Conard; Blythe A Corbett; Gabriela G Cezar; Elizabeth L R Donley; Robert E Burrier
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

6.  Changes in the Cerebrospinal Fluid and Plasma Lipidome in Patients with Rett Syndrome.

Authors:  Martina Zandl-Lang; Thomas Züllig; Martin Trötzmüller; Yvonne Naegelin; Lucia Abela; Bernd Wilken; Sabine Scholl-Buergi; Daniela Karall; Ludwig Kappos; Harald Köfeler; Barbara Plecko
Journal:  Metabolites       Date:  2022-03-25

7.  Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research.

Authors:  Augustin Scalbert; Lorraine Brennan; Oliver Fiehn; Thomas Hankemeier; Bruce S Kristal; Ben van Ommen; Estelle Pujos-Guillot; Elwin Verheij; David Wishart; Suzan Wopereis
Journal:  Metabolomics       Date:  2009-06-12       Impact factor: 4.290

8.  Screening and analysis of the potential bioactive components in rabbit plasma after oral administration of hot-water extracts from leaves of Bambusa textilis McClure.

Authors:  Jin Wang; Yong-De Yue; Feng Tang; Jia Sun
Journal:  Molecules       Date:  2012-07-26       Impact factor: 4.411

9.  Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues.

Authors:  Andrew W DeVilbiss; Zhiyu Zhao; Misty S Martin-Sandoval; Jessalyn M Ubellacker; Alpaslan Tasdogan; Michalis Agathocleous; Thomas P Mathews; Sean J Morrison
Journal:  Elife       Date:  2021-01-20       Impact factor: 8.140

  9 in total

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