Literature DB >> 17625818

Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: application to human urine.

Helen G Gika1, Georgios A Theodoridis, Julia E Wingate, Ian D Wilson.   

Abstract

Self-evidently, research in areas supporting "systems biology" such as genomics, proteomics, and metabonomics are critically dependent on the generation of sound analytical data. Metabolic phenotyping using LC-MS-based methods is currently at a relatively early stage of development, and approaches to ensure data quality are still developing. As part of studies on the application of LC-MS in metabonomics, the within-day reproducibility of LC-MS, with both positive and negative electrospray ionization (ESI), has been investigated using a standard "quality control" (QC) sample. The results showed that the first few injections on the system were not representative, and should be discarded, and that reproducibility was critically dependent on signal intensity. On the basis of these findings, an analytical protocol for the metabonomic analysis of human urine has been developed with proposed acceptance criteria based on a step-by-step assessment of the data. Short-term sample stability for human urine was also assessed. Samples were stable for at least 20 h at 4 degrees C in the autosampler while queuing for analysis. Samples stored at either -20 or -80 degrees C for up to 1 month were indistinguishable on subsequent LC-MS analysis. Overall, by careful monitoring of the QC data, it is possible to demonstrate that the "within-day" reproducibility of LC-MS is sufficient to ensure data quality in global metabolic profiling applications.

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Year:  2007        PMID: 17625818     DOI: 10.1021/pr070183p

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  106 in total

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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
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Journal:  Antimicrob Agents Chemother       Date:  2019-12-20       Impact factor: 5.191

5.  Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry.

Authors:  Fujian Zheng; Xinjie Zhao; Zhongda Zeng; Lichao Wang; Wangjie Lv; Qingqing Wang; Guowang Xu
Journal:  Nat Protoc       Date:  2020-06-24       Impact factor: 13.491

6.  The reproducibility of urinary ions in manganese exposed workers.

Authors:  Marissa G Baker; Yvonne S Lin; Christopher D Simpson; Laura M Shireman; Susan Searles Nielsen; Brad A Racette; Noah Seixas
Journal:  J Trace Elem Med Biol       Date:  2018-11-03       Impact factor: 3.849

7.  Prolonged Mechanical Circumferential Stretch Induces Metabolic Changes in Rat Inferior Vena Cava.

Authors:  M A Anwar; P A Vorkas; J Li; K N Adesina-Georgiadis; O M Reslan; J D Raffetto; E J Want; R A Khalil; E Holmes; A H Davies
Journal:  Eur J Vasc Endovasc Surg       Date:  2016-08-11       Impact factor: 7.069

Review 8.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

Review 9.  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

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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