Literature DB >> 19764780

Variability analysis of human plasma and cerebral spinal fluid reveals statistical significance of changes in mass spectrometry-based metabolomics data.

Bridgit Crews1, William R Wikoff, Gary J Patti, Hin-Koon Woo, Ewa Kalisiak, Johanna Heideker, Gary Siuzdak.   

Abstract

Analytical and biological variability are issues of central importance to human metabolomics studies. Here both types of variation are examined in human plasma and cerebrospinal fluid (CSF) using a global liquid chromatography/mass spectrometry (LC/MS) metabolomics strategy. The platform shows small analytical variation with a median coefficient of variation (CV) of 15-16% for both plasma and CSF sample matrixes when the integrated area of each peak in the mass spectra is considered. Analysis of biological variation shows that human CSF has a median CV of 35% and plasma has a median CV of 46%. To understand the difference in CV between the biofluids, we compared plasma and CSF independently obtained from different healthy humans. Additionally, we analyzed another group of patients from whom we compared matched CSF and plasma (plasma and CSF obtained from the same human subject). A similar number of features was observed in both biofluids, although the majority of features appeared with greater intensity in plasma. More than a dozen metabolites shared between the human CSF and plasma metabolomes were identified based on accurate mass measurements, retention times, and MS/MS spectra. The fold change in these metabolites was consistent with the median biological CV determined for all peaks. The measured median biological CV together with analysis of intragroup variation of healthy individuals suggests that fold changes above 2 in metabolomics studies investigating plasma or CSF are statistically relevant with respect to the inherent variability of a healthy control group. These data demonstrate the reproducibility of the global metabolomics platform using LC/MS and reveal the robustness of the approach for biomarker discovery.

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Year:  2009        PMID: 19764780      PMCID: PMC3058611          DOI: 10.1021/ac9014947

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  36 in total

1.  Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry.

Authors:  Elizabeth J Want; Grace O'Maille; Colin A Smith; Theodore R Brandon; Wilasinee Uritboonthai; Chuan Qin; Sunia A Trauger; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

2.  XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

Authors:  Colin A Smith; Elizabeth J Want; Grace O'Maille; Ruben Abagyan; Gary Siuzdak
Journal:  Anal Chem       Date:  2006-02-01       Impact factor: 6.986

Review 3.  The role of biomarkers in clinical trials for Alzheimer disease.

Authors:  Leon J Thal; Kejal Kantarci; Eric M Reiman; William E Klunk; Michael W Weiner; Henrik Zetterberg; Douglas Galasko; Domenico Praticò; Sue Griffin; Dale Schenk; Eric Siemers
Journal:  Alzheimer Dis Assoc Disord       Date:  2006 Jan-Mar       Impact factor: 2.703

4.  Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites.

Authors:  William R Wikoff; Andrew T Anfora; Jun Liu; Peter G Schultz; Scott A Lesley; Eric C Peters; Gary Siuzdak
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-20       Impact factor: 11.205

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

Authors:  Eva Zelena; Warwick B Dunn; David Broadhurst; Sue Francis-McIntyre; Kathleen M Carroll; Paul Begley; Steve O'Hagan; Joshua D Knowles; Antony Halsall; Ian D Wilson; Douglas B Kell
Journal:  Anal Chem       Date:  2009-02-15       Impact factor: 6.986

6.  Metabolomics identifies perturbations in human disorders of propionate metabolism.

Authors:  William R Wikoff; Jon A Gangoiti; Bruce A Barshop; Gary Siuzdak
Journal:  Clin Chem       Date:  2007-10-19       Impact factor: 8.327

7.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

8.  Metabolomic analysis of the cerebrospinal fluid reveals changes in phospholipase expression in the CNS of SIV-infected macaques.

Authors:  William R Wikoff; Gurudutt Pendyala; Gary Siuzdak; Howard S Fox
Journal:  J Clin Invest       Date:  2008-07       Impact factor: 14.808

9.  Organic anion transporter 3 contributes to the regulation of blood pressure.

Authors:  Volker Vallon; Satish A Eraly; William R Wikoff; Timo Rieg; Gregory Kaler; David M Truong; Sun-Young Ahn; Nitish R Mahapatra; Sushil K Mahata; Jon A Gangoiti; Wei Wu; Bruce A Barshop; Gary Siuzdak; Sanjay K Nigam
Journal:  J Am Soc Nephrol       Date:  2008-05-28       Impact factor: 10.121

10.  Effects of mainstream cigarette smoke on the global metabolome of human lung epithelial cells.

Authors:  Suryanarayana V Vulimiri; Manoj Misra; Jonathan T Hamm; Matthew Mitchell; Alvin Berger
Journal:  Chem Res Toxicol       Date:  2009-03-16       Impact factor: 3.739

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  37 in total

Review 1.  Dealing with the unknown: metabolomics and metabolite atlases.

Authors:  Benjamin P Bowen; Trent R Northen
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-12       Impact factor: 3.109

2.  A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Authors:  Nguyen Phuoc Long; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Dong Kyu Lim; Yu Jin Hong; Soon-Sun Hong; Sung Won Kwon
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

3.  Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.

Authors:  Chandresh Nanji Ladva; Rachel Golan; Roby Greenwald; Tianwei Yu; Stefanie Ebelt Sarnat; W Dana Flanders; Karan Uppal; Douglas I Walker; ViLinh Tran; Donghai Liang; Dean P Jones; Jeremy A Sarnat
Journal:  J Breath Res       Date:  2017-12-06       Impact factor: 3.262

4.  Metabolomics of cerebrospinal fluid reveals changes in the central nervous system metabolism in a rat model of multiple sclerosis.

Authors:  Marek J Noga; Adrie Dane; Shanna Shi; Amos Attali; Hans van Aken; Ernst Suidgeest; Tinka Tuinstra; Bas Muilwijk; Leon Coulier; Theo Luider; Theo H Reijmers; Rob J Vreeken; Thomas Hankemeier
Journal:  Metabolomics       Date:  2011-04-16       Impact factor: 4.290

5.  Metabolomics of human cerebrospinal fluid identifies signatures of malignant glioma.

Authors:  Jason W Locasale; Tamar Melman; Susan Song; Xuemei Yang; Kenneth D Swanson; Lewis C Cantley; Eric T Wong; John M Asara
Journal:  Mol Cell Proteomics       Date:  2012-01-12       Impact factor: 5.911

6.  Meta-analysis of untargeted metabolomic data from multiple profiling experiments.

Authors:  Gary J Patti; Ralf Tautenhahn; Gary Siuzdak
Journal:  Nat Protoc       Date:  2012-02-16       Impact factor: 13.491

7.  A nano ultra-performance liquid chromatography-high resolution mass spectrometry approach for global metabolomic profiling and case study on drug-resistant multiple myeloma.

Authors:  Drew R Jones; Zhiping Wu; Dharminder Chauhan; Kenneth C Anderson; Junmin Peng
Journal:  Anal Chem       Date:  2014-03-20       Impact factor: 6.986

8.  Quantitative proteomics and metabolomics analysis of normal human cerebrospinal fluid samples.

Authors:  Marcel P Stoop; Leon Coulier; Therese Rosenling; Shanna Shi; Agnieszka M Smolinska; Lutgarde Buydens; Kirsten Ampt; Christoph Stingl; Adrie Dane; Bas Muilwijk; Ronald L Luitwieler; Peter A E Sillevis Smitt; Rogier Q Hintzen; Rainer Bischoff; Sybren S Wijmenga; Thomas Hankemeier; Alain J van Gool; Theo M Luider
Journal:  Mol Cell Proteomics       Date:  2010-09       Impact factor: 5.911

9.  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

10.  High-performance metabolic profiling with dual chromatography-Fourier-transform mass spectrometry (DC-FTMS) for study of the exposome.

Authors:  Quinlyn A Soltow; Frederick H Strobel; Keith G Mansfield; Lynn Wachtman; Youngja Park; Dean P Jones
Journal:  Metabolomics       Date:  2013-03       Impact factor: 4.290

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