Literature DB >> 27959516

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

Alexandros P Siskos1, Pooja Jain1, Werner Römisch-Margl2, Mark Bennett3, David Achaintre4, Yasmin Asad5, Luke Marney6, Larissa Richardson6, Albert Koulman6, Julian L Griffin6, Florence Raynaud5, Augustin Scalbert4, Jerzy Adamski7,8,9, Cornelia Prehn7, Hector C Keun1.   

Abstract

A critical question facing the field of metabolomics is whether data obtained from different centers can be effectively compared and combined. An important aspect of this is the interlaboratory precision (reproducibility) of the analytical protocols used. We analyzed human samples in six laboratories using different instrumentation but a common protocol (the AbsoluteIDQ p180 kit) for the measurement of 189 metabolites via liquid chromatography (LC) or flow injection analysis (FIA) coupled to tandem mass spectrometry (MS/MS). In spiked quality control (QC) samples 82% of metabolite measurements had an interlaboratory precision of <20%, while 83% of averaged individual laboratory measurements were accurate to within 20%. For 20 typical biological samples (serum and plasma from healthy individuals) the median interlaboratory coefficient of variation (CV) was 7.6%, with 85% of metabolites exhibiting a median interlaboratory CV of <20%. Precision was largely independent of the type of sample (serum or plasma) or the anticoagulant used but was reduced in a sample from a patient with dyslipidaemia. The median interlaboratory accuracy and precision of the assay for standard reference plasma (NIST SRM 1950) were 107% and 6.7%, respectively. Likely sources of irreproducibility were the near limit of detection (LOD) typical abundance of some metabolites and the degree of manual review and optimization of peak integration in the LC-MS/MS data after acquisition. Normalization to a reference material was crucial for the semi-quantitative FIA measurements. This is the first interlaboratory assessment of a widely used, targeted metabolomics assay illustrating the reproducibility of the protocol and how data generated on different instruments could be directly integrated in large-scale epidemiological studies.

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Year:  2016        PMID: 27959516      PMCID: PMC6317696          DOI: 10.1021/acs.analchem.6b02930

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


  29 in total

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Authors:  J K Nicholson; J C Lindon; E Holmes
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4.  Intra- and interlaboratory reproducibility of ultra performance liquid chromatography-time-of-flight mass spectrometry for urinary metabolic profiling.

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Journal:  Anal Chem       Date:  2012-02-13       Impact factor: 6.986

5.  International NMR-based environmental metabolomics intercomparison exercise.

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Journal:  Environ Sci Technol       Date:  2009-01-01       Impact factor: 9.028

6.  An inter-laboratory comparison demonstrates that [H]-NMR metabolite fingerprinting is a robust technique for collaborative plant metabolomic data collection.

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9.  Differences between human plasma and serum metabolite profiles.

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Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

10.  Body fat free mass is associated with the serum metabolite profile in a population-based study.

Authors:  Carolin Jourdan; Ann-Kristin Petersen; Christian Gieger; Angela Döring; Thomas Illig; Rui Wang-Sattler; Christa Meisinger; Annette Peters; Jerzy Adamski; Cornelia Prehn; Karsten Suhre; Elisabeth Altmaier; Gabi Kastenmüller; Werner Römisch-Margl; Fabian J Theis; Jan Krumsiek; H-Erich Wichmann; Jakob Linseisen
Journal:  PLoS One       Date:  2012-06-27       Impact factor: 3.240

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  74 in total

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2.  Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics.

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Authors:  Bing Yu; Krista A Zanetti; Marinella Temprosa; Demetrius Albanes; Nathan Appel; Clara Barrios Barrera; Yoav Ben-Shlomo; Eric Boerwinkle; Juan P Casas; Clary Clish; Caroline Dale; Abbas Dehghan; Andriy Derkach; A Heather Eliassen; Paul Elliott; Eoin Fahy; Christian Gieger; Marc J Gunter; Sei Harada; Tamara Harris; Deron R Herr; David Herrington; Joel N Hirschhorn; Elise Hoover; Ann W Hsing; Mattias Johansson; Rachel S Kelly; Chin Meng Khoo; Mika Kivimäki; Bruce S Kristal; Claudia Langenberg; Jessica Lasky-Su; Deborah A Lawlor; Luca A Lotta; Massimo Mangino; Loïc Le Marchand; Ewy Mathé; Charles E Matthews; Cristina Menni; Lorelei A Mucci; Rachel Murphy; Matej Oresic; Eric Orwoll; Jennifer Ose; Alexandre C Pereira; Mary C Playdon; Lucilla Poston; Jackie Price; Qibin Qi; Kathryn Rexrode; Adam Risch; Joshua Sampson; Wei Jie Seow; Howard D Sesso; Svati H Shah; Xiao-Ou Shu; Gordon C S Smith; Ulla Sovio; Victoria L Stevens; Rachael Stolzenberg-Solomon; Toru Takebayashi; Therese Tillin; Ruth Travis; Ioanna Tzoulaki; Cornelia M Ulrich; Ramachandran S Vasan; Mukesh Verma; Ying Wang; Nick J Wareham; Andrew Wong; Naji Younes; Hua Zhao; Wei Zheng; Steven C Moore
Journal:  Am J Epidemiol       Date:  2019-06-01       Impact factor: 4.897

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

Authors:  J Will Thompson; Kendra J Adams; Jerzy Adamski; Yasmin Asad; David Borts; John A Bowden; Gregory Byram; Viet Dang; Warwick B Dunn; Facundo Fernandez; Oliver Fiehn; David A Gaul; Andreas Fr Hühmer; Anastasia Kalli; Therese Koal; Stormy Koeniger; Rupasri Mandal; Florian Meier; Fuad J Naser; Donna O'Neil; Akos Pal; Gary J Patti; Hai Pham-Tuan; Cornelia Prehn; Florence I Raynaud; Tong Shen; Andrew D Southam; Lisa St John-Williams; Karolina Sulek; Catherine G Vasilopoulou; Mark Viant; Catherine L Winder; David Wishart; Lun Zhang; Jiamin Zheng; M Arthur Moseley
Journal:  Anal Chem       Date:  2019-11-08       Impact factor: 6.986

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Journal:  J Lipid Res       Date:  2017-10-06       Impact factor: 5.922

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

9.  Longitudinal associations of physical activity with plasma metabolites among colorectal cancer survivors up to 2 years after treatment.

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Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

10.  Prenatal Exposure to Perfluoroalkyl Substances Associated With Increased Susceptibility to Liver Injury in Children.

Authors:  Nikos Stratakis; David V Conti; Ran Jin; Katerina Margetaki; Damaskini Valvi; Alexandros P Siskos; Léa Maitre; Erika Garcia; Nerea Varo; Yinqi Zhao; Theano Roumeliotaki; Marina Vafeiadi; Jose Urquiza; Silvia Fernández-Barrés; Barbara Heude; Xavier Basagana; Maribel Casas; Serena Fossati; Regina Gražulevičienė; Sandra Andrušaitytė; Karan Uppal; Rosemary R C McEachan; Eleni Papadopoulou; Oliver Robinson; Line Småstuen Haug; John Wright; Miriam B Vos; Hector C Keun; Martine Vrijheid; Kiros T Berhane; Rob McConnell; Lida Chatzi
Journal:  Hepatology       Date:  2020-10-19       Impact factor: 17.425

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