Home LiteratureArticle Details
PMID: 19170513 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum.

Analytical chemistry ·Vol. 81 ·No. 4 ·2009-02-15 ·Pages 1357-64

Zelena E, Dunn WB, Broadhurst D, Francis-McIntyre S, Carroll KM, Begley P, O'Hagan S, Knowles JD, Halsall A, HUSERMET Consortium, Wilson ID, Kell DB

Abstract

A method for performing untargeted metabolomic analysis of human serum has been developed based on protein precipitation followed by Ultra Performance Liquid Chromatography and Time-of-Flight mass spectrometry (UPLC-TOF-MS). This method was specifically designed to fulfill the requirements of a long-term metabolomic study, spanning more than 3 years, and it was subsequently thoroughly evaluated for robustness and repeatability. We describe here the observed drift in instrumental performance over time and its improvement with adjustment of the length of analytical block. The optimal setup for our purpose was further validated against a set of serum samples from 30 healthy individuals. We also assessed the reproducibility of chromatographic columns with the same chemistry of stationary phase from the same manufacturer but from different production batches. The results have allowed the authors to prepare SOPs for "fit for purpose" long-term UPLC-MS metabolomic studies, such as are being employed in the HUSERMET project. This method allows the acquisition of data and subsequent comparison of data collected across many months or years.

MeSH Terms
Chromatography, Liquid/methods Humans Mass Spectrometry/methods Metabolomics/methods Reproducibility of Results Serum/metabolism Time Factors
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Zelena Eva
Bioanalytical Sciences Group, School of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, M1 7DN, UK.
Dunn Warwick B
Broadhurst David
Francis-McIntyre Sue
Carroll Kathleen M
Begley Paul
O'Hagan Steve
Knowles Joshua D
Halsall Antony
HUSERMET Consortium
Wilson Ian D
Kell Douglas B
Article Info
Journal
Analytical chemistry
Abbr.
Anal Chem
ISSN
1520-6882
Published
2009-02-15
Pages
1357-64
Language
English
Region
United States
NLM ID
0370536
Subset
IM
Grants
Biotechnology and Biological Sciences Research Council · BB/C519038/1 · United Kingdom
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]