Literature DB >> 31638379

International Ring Trial of a High Resolution Targeted Metabolomics and Lipidomics Platform for Serum and Plasma Analysis.

J Will Thompson1,2, Kendra J Adams1, Jerzy Adamski3,4,5,6, Yasmin Asad7, David Borts8,9, John A Bowden10,11, Gregory Byram12, Viet Dang8, Warwick B Dunn13, Facundo Fernandez14, Oliver Fiehn12, David A Gaul14, Andreas Fr Hühmer9, Anastasia Kalli9, Therese Koal15, Stormy Koeniger16, Rupasri Mandal17, Florian Meier18, Fuad J Naser19, Donna O'Neil13, Akos Pal7, Gary J Patti19, Hai Pham-Tuan15, Cornelia Prehn3, Florence I Raynaud7, Tong Shen12, Andrew D Southam13, Lisa St John-Williams1, Karolina Sulek20, Catherine G Vasilopoulou18, Mark Viant13, Catherine L Winder13, David Wishart17, Lun Zhang17, Jiamin Zheng17, M Arthur Moseley1.   

Abstract

A challenge facing metabolomics in the analysis of large human cohorts is the cross-laboratory comparability of quantitative metabolomics measurements. In this study, 14 laboratories analyzed various blood specimens using a common experimental protocol provided with the Biocrates AbsoluteIDQ p400HR kit, to quantify up to 408 metabolites. The specimens included human plasma and serum from male and female donors, mouse and rat plasma, as well as NIST SRM 1950 reference plasma. The metabolite classes covered range from polar (e.g., amino acids and biogenic amines) to nonpolar (e.g., diacyl- and triacyl-glycerols), and they span 11 common metabolite classes. The manuscript describes a strict system suitability testing (SST) criteria used to evaluate each laboratory's readiness to perform the assay, and provides the SST Skyline documents for public dissemination. The study found approximately 250 metabolites were routinely quantified in the sample types tested, using Orbitrap instruments. Interlaboratory variance for the NIST SRM-1950 has a median of 10% for amino acids, 24% for biogenic amines, 38% for acylcarnitines, 25% for glycerolipids, 23% for glycerophospholipids, 16% for cholesteryl esters, 15% for sphingolipids, and 9% for hexoses. Comparing to consensus values for NIST SRM-1950, nearly 80% of comparable analytes demonstrated bias of <50% from the reference value. The findings of this study result in recommendations of best practices for system suitability, quality control, and calibration. We demonstrate that with appropriate controls, high-resolution metabolomics can provide accurate results with good precision across laboratories, and the p400HR therefore is a reliable approach for generating consistent and comparable metabolomics data.

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Year:  2019        PMID: 31638379      PMCID: PMC7310668          DOI: 10.1021/acs.analchem.9b02908

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


  12 in total

1.  Interlaboratory Reproducibility of a Targeted Metabolomics Platform for Analysis of Human Serum and Plasma.

Authors:  Alexandros P Siskos; Pooja Jain; Werner Römisch-Margl; Mark Bennett; David Achaintre; Yasmin Asad; Luke Marney; Larissa Richardson; Albert Koulman; Julian L Griffin; Florence Raynaud; Augustin Scalbert; Jerzy Adamski; Cornelia Prehn; Hector C Keun
Journal:  Anal Chem       Date:  2016-12-13       Impact factor: 6.986

2.  Development of a Standard Reference Material for metabolomics research.

Authors:  Karen W Phinney; Guillaume Ballihaut; Mary Bedner; Brandi S Benford; Johanna E Camara; Steven J Christopher; W Clay Davis; Nathan G Dodder; Gauthier Eppe; Brian E Lang; Stephen E Long; Mark S Lowenthal; Elizabeth A McGaw; Karen E Murphy; Bryant C Nelson; Jocelyn L Prendergast; Jessica L Reiner; Catherine A Rimmer; Lane C Sander; Michele M Schantz; Katherine E Sharpless; Lorna T Sniegoski; Susan S-C Tai; Jeanice B Thomas; Thomas W Vetter; Michael J Welch; Stephen A Wise; Laura J Wood; William F Guthrie; Charles R Hagwood; Stefan D Leigh; James H Yen; Nien-Fan Zhang; Madhu Chaudhary-Webb; Huiping Chen; Zia Fazili; Donna J LaVoie; Leslie F McCoy; Shahzad S Momin; Neelima Paladugula; Elizabeth C Pendergrast; Christine M Pfeiffer; Carissa D Powers; Daniel Rabinowitz; Michael E Rybak; Rosemary L Schleicher; Bridgette M H Toombs; Mary Xu; Mindy Zhang; Arthur L Castle
Journal:  Anal Chem       Date:  2013-12-03       Impact factor: 6.986

Review 3.  Preanalytical Processing and Biobanking Procedures of Biological Samples for Metabolomics Research: A White Paper, Community Perspective (for "Precision Medicine and Pharmacometabolomics Task Group"-The Metabolomics Society Initiative).

Authors:  Jennifer A Kirwan; Lorraine Brennan; David Broadhurst; Oliver Fiehn; Marta Cascante; Warwick B Dunn; Michael A Schmidt; Vidya Velagapudi
Journal:  Clin Chem       Date:  2018-06-19       Impact factor: 8.327

Review 4.  Design and analysis of metabolomics studies in epidemiologic research: a primer on -omic technologies.

Authors:  Ioanna Tzoulaki; Timothy M D Ebbels; Ana Valdes; Paul Elliott; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2014-06-24       Impact factor: 4.897

5.  Metabolomics enables precision medicine: "A White Paper, Community Perspective".

Authors:  Richard D Beger; Warwick Dunn; Michael A Schmidt; Steven S Gross; Jennifer A Kirwan; Marta Cascante; Lorraine Brennan; David S Wishart; Matej Oresic; Thomas Hankemeier; David I Broadhurst; Andrew N Lane; Karsten Suhre; Gabi Kastenmüller; Susan J Sumner; Ines Thiele; Oliver Fiehn; Rima Kaddurah-Daouk
Journal:  Metabolomics       Date:  2016-09-02       Impact factor: 4.290

6.  Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.

Authors:  Ben C Collins; Christie L Hunter; Yansheng Liu; Birgit Schilling; George Rosenberger; Samuel L Bader; Daniel W Chan; Bradford W Gibson; Anne-Claude Gingras; Jason M Held; Mio Hirayama-Kurogi; Guixue Hou; Christoph Krisp; Brett Larsen; Liang Lin; Siqi Liu; Mark P Molloy; Robert L Moritz; Sumio Ohtsuki; Ralph Schlapbach; Nathalie Selevsek; Stefani N Thomas; Shin-Cheng Tzeng; Hui Zhang; Ruedi Aebersold
Journal:  Nat Commun       Date:  2017-08-21       Impact factor: 14.919

7.  Targeted metabolomics and medication classification data from participants in the ADNI1 cohort.

Authors:  Lisa St John-Williams; Colette Blach; Jon B Toledo; Daniel M Rotroff; Sungeun Kim; Kristaps Klavins; Rebecca Baillie; Xianlin Han; Siamak Mahmoudiandehkordi; John Jack; Tyler J Massaro; Joseph E Lucas; Gregory Louie; Alison A Motsinger-Reif; Shannon L Risacher; Andrew J Saykin; Gabi Kastenmüller; Matthias Arnold; Therese Koal; M Arthur Moseley; Lara M Mangravite; Mette A Peters; Jessica D Tenenbaum; J Will Thompson; Rima Kaddurah-Daouk
Journal:  Sci Data       Date:  2017-10-17       Impact factor: 6.444

8.  Antidiabetic and cardiovascular beneficial effects of a liver-localized mitochondrial uncoupler.

Authors:  Naohide Kanemoto; Takashi Okamoto; Koji Tanabe; Takahiro Shimada; Hitomi Minoshima; Yuya Hidoh; Masashi Aoyama; Takashi Ban; Yusuke Kobayashi; Hikaru Ando; Yuki Inoue; Motohiro Itotani; Seiji Sato
Journal:  Nat Commun       Date:  2019-05-15       Impact factor: 14.919

9.  Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma.

Authors:  John A Bowden; Alan Heckert; Candice Z Ulmer; Christina M Jones; Jeremy P Koelmel; Laila Abdullah; Linda Ahonen; Yazen Alnouti; Aaron M Armando; John M Asara; Takeshi Bamba; John R Barr; Jonas Bergquist; Christoph H Borchers; Joost Brandsma; Susanne B Breitkopf; Tomas Cajka; Amaury Cazenave-Gassiot; Antonio Checa; Michelle A Cinel; Romain A Colas; Serge Cremers; Edward A Dennis; James E Evans; Alexander Fauland; Oliver Fiehn; Michael S Gardner; Timothy J Garrett; Katherine H Gotlinger; Jun Han; Yingying Huang; Aveline Huipeng Neo; Tuulia Hyötyläinen; Yoshihiro Izumi; Hongfeng Jiang; Houli Jiang; Jiang Jiang; Maureen Kachman; Reiko Kiyonami; Kristaps Klavins; Christian Klose; Harald C Köfeler; Johan Kolmert; Therese Koal; Grielof Koster; Zsuzsanna Kuklenyik; Irwin J Kurland; Michael Leadley; Karen Lin; Krishna Rao Maddipati; Danielle McDougall; Peter J Meikle; Natalie A Mellett; Cian Monnin; M Arthur Moseley; Renu Nandakumar; Matej Oresic; Rainey Patterson; David Peake; Jason S Pierce; Martin Post; Anthony D Postle; Rebecca Pugh; Yunping Qiu; Oswald Quehenberger; Parsram Ramrup; Jon Rees; Barbara Rembiesa; Denis Reynaud; Mary R Roth; Susanne Sales; Kai Schuhmann; Michal Laniado Schwartzman; Charles N Serhan; Andrej Shevchenko; Stephen E Somerville; Lisa St John-Williams; Michal A Surma; Hiroaki Takeda; Rhishikesh Thakare; J Will Thompson; Federico Torta; Alexander Triebl; Martin Trötzmüller; S J Kumari Ubhayasekera; Dajana Vuckovic; Jacquelyn M Weir; Ruth Welti; Markus R Wenk; Craig E Wheelock; Libin Yao; Min Yuan; Xueqing Heather Zhao; Senlin Zhou
Journal:  J Lipid Res       Date:  2017-10-06       Impact factor: 5.922

Review 10.  Metabolomic fingerprinting: challenges and opportunities.

Authors:  Alyssa K Kosmides; Kubra Kamisoglu; Steve E Calvano; Siobhan A Corbett; Ioannis P Androulakis
Journal:  Crit Rev Biomed Eng       Date:  2013
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  22 in total

1.  What if using certified reference materials (CRMs) was a requirement to publish in analytical/bioanalytical chemistry journals?

Authors:  Stephen A Wise
Journal:  Anal Bioanal Chem       Date:  2022-06-13       Impact factor: 4.478

2.  Towards Unbiased Evaluation of Ionization Performance in LC-HRMS Metabolomics Method Development.

Authors:  Carsten Jaeger; Jan Lisec
Journal:  Metabolites       Date:  2022-05-10

3.  Yeast-based reference materials for quantitative metabolomics.

Authors:  Hendri Wasito; Gerrit Hermann; Veronika Fitz; Christina Troyer; Stephan Hann; Gunda Koellensperger
Journal:  Anal Bioanal Chem       Date:  2021-10-13       Impact factor: 4.478

4.  A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.

Authors:  Kevin M Mendez; Stacey N Reinke; David I Broadhurst
Journal:  Metabolomics       Date:  2019-11-15       Impact factor: 4.290

5.  Nrf2 contributes to the weight gain of mice during space travel.

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Journal:  Commun Biol       Date:  2020-09-08

Review 6.  Evaluation of the use of untargeted metabolomics in the safety assessment of genetically modified crops.

Authors:  Mohamed Bedair; Kevin C Glenn
Journal:  Metabolomics       Date:  2020-10-09       Impact factor: 4.290

7.  From urban dust and marine sediment to Ginkgo biloba and human serum-a top ten list of Standard Reference Materials (SRMs).

Authors:  Stephen A Wise
Journal:  Anal Bioanal Chem       Date:  2021-07-21       Impact factor: 4.142

8.  A Comprehensive Targeted Metabolomics Assay for Crop Plant Sample Analysis.

Authors:  Jiamin Zheng; Mathew Johnson; Rupasri Mandal; David S Wishart
Journal:  Metabolites       Date:  2021-05-11

Review 9.  A Review of Efforts to Improve Lipid Stability during Sample Preparation and Standardization Efforts to Ensure Accuracy in the Reporting of Lipid Measurements.

Authors:  Candice Z Ulmer; Jeremy P Koelmel; Christina M Jones; Timothy J Garrett; Juan J Aristizabal-Henao; Hubert W Vesper; John A Bowden
Journal:  Lipids       Date:  2020-06-09       Impact factor: 1.646

Review 10.  Genome-to-phenome research in rats: progress and perspectives.

Authors:  Amy L Zinski; Shane Carrion; Jennifer J Michal; Maria A Gartstein; Raymond M Quock; Jon F Davis; Zhihua Jiang
Journal:  Int J Biol Sci       Date:  2021-01-01       Impact factor: 6.580

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