Literature DB >> 18096175

Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine: sample stability under different handling and storage conditions for metabonomics studies.

Helen G Gika1, Georgios A Theodoridis, Ian D Wilson.   

Abstract

Typically following collection biological samples are kept in a freezer for periods ranging from a few days to several months before analysis. Experience has shown that in LC-MS-based metabonomics research the best analytical practice is to store samples as these are collected, complete the sample set and analyse it in a single run. However, this approach is prudent only if the samples stored in the refrigerator or in the freezer are stable. Another important issue is the stability of the samples following the freeze-thaw process. To investigate these matters urine samples were collected from 6 male volunteers and analysed by LC-MS and ultra-performance liquid chromatography (UPLC)-MS [in both positive and negative electrospray ionization (ESI)] on the day of collection or at intervals of up to 6 months storage at -20 degrees C and -80 degrees C. Other sets of these samples underwent a series of up to nine freeze-thaw cycles. The stability of samples kept at 4 degrees C in an autosampler for up to 6 days was also assessed, with clear differences appearing after 48h. Data was analysed using multivariate statistical analysis (principal component analysis). The results show that sample storage at both -20 and -80 degrees C appeared to ensure sample stability. Similarly up to nine freeze thaw cycles were without any apparent effect on the profile.

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Year:  2007        PMID: 18096175     DOI: 10.1016/j.chroma.2007.10.066

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  38 in total

1.  Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Authors:  Eric Chun Yong Chan; Kishore Kumar Pasikanti; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2011-09-08       Impact factor: 13.491

2.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

3.  Effect of dietary sodium restriction on human urinary metabolomic profiles.

Authors:  Kristen L Jablonski; Jelena Klawitter; Michel Chonchol; Candace J Bassett; Matthew L Racine; Douglas R Seals
Journal:  Clin J Am Soc Nephrol       Date:  2015-04-21       Impact factor: 8.237

4.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Authors:  Warwick B Dunn; David Broadhurst; Paul Begley; Eva Zelena; Sue Francis-McIntyre; Nadine Anderson; Marie Brown; Joshau D Knowles; Antony Halsall; John N Haselden; Andrew W Nicholls; Ian D Wilson; Douglas B Kell; Royston Goodacre
Journal:  Nat Protoc       Date:  2011-06-30       Impact factor: 13.491

5.  Global metabolic profiling of animal and human tissues via UPLC-MS.

Authors:  Elizabeth J Want; Perrine Masson; Filippos Michopoulos; Ian D Wilson; Georgios Theodoridis; Robert S Plumb; John Shockcor; Neil Loftus; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2012-12-06       Impact factor: 13.491

Review 6.  The use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples.

Authors:  Mads V Lind; Otto I Savolainen; Alastair B Ross
Journal:  Eur J Epidemiol       Date:  2016-05-26       Impact factor: 8.082

7.  Coefficient of Variation, Signal-to-Noise Ratio, and Effects of Normalization in Validation of Biomarkers from NMR-based Metabonomics Studies.

Authors:  Bo Wang; Aaron M Goodpaster; Michael A Kennedy
Journal:  Chemometr Intell Lab Syst       Date:  2013-10-15       Impact factor: 3.491

Review 8.  A review of metabolomics approaches and their application in identifying causal pathways of childhood asthma.

Authors:  Kedir N Turi; Lindsey Romick-Rosendale; Kelli K Ryckman; Tina V Hartert
Journal:  J Allergy Clin Immunol       Date:  2017-05-04       Impact factor: 10.793

Review 9.  Are microbiome studies ready for hypothesis-driven research?

Authors:  Anupriya Tripathi; Clarisse Marotz; Antonio Gonzalez; Yoshiki Vázquez-Baeza; Se Jin Song; Amina Bouslimani; Daniel McDonald; Qiyun Zhu; Jon G Sanders; Larry Smarr; Pieter C Dorrestein; Rob Knight
Journal:  Curr Opin Microbiol       Date:  2018-07-27       Impact factor: 7.934

10.  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

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