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      Inter-laboratory reproducibility of a targeted metabolomics platform for analysis of human serum and plasma

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          Abstract

          A critical question facing the field of metabolomics is whether data obtained from different centres can be effectively compared and combined. An important aspect of this is the inter-laboratory precision (reproducibility) of the analytical protocols used. We analysed human samples in six laboratories using different instrumentation but a common protocol (the Absolute IDQ™ 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% metabolite measurements had an inter-laboratory 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 inter-laboratory CV was 7.6%, with 85% of metabolites exhibiting a median inter-laboratory 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 inter-laboratory 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-LOD typical abundance of some metabolites and the degree of manual review and optimisation of peak integration in the LC-MS/MS data post-acquisition. Normalisation to a reference material was crucial for the semi-quantitative FIA measurements. This is the first inter-laboratory 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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          Author and article information

          Journal
          0370536
          519
          Anal Chem
          Anal. Chem.
          Analytical chemistry
          0003-2700
          1520-6882
          17 December 2018
          13 December 2016
          03 January 2017
          03 January 2019
          : 89
          : 1
          : 656-665
          Affiliations
          [1 ]Department of Surgery and Cancer, Imperial College London, W12 0NN, UK
          [2 ]Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
          [3 ]Department of Life Sciences, Imperial College London, SW7 2AZ, UK
          [4 ]International Agency for Research on Cancer (IARC), Biomarkers Group, F-69372 Lyon, France
          [5 ]The Institute of Cancer Research, ICR, Sutton, SM2 5NG, UK
          [6 ]MRC Human Nutrition Research, Cambridge, CB1 9NL, UK
          [7 ]Genome Analysis Center, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
          [8 ]Chair of Experimental Genetics, Center of Life and Food Sciences Weihenstephan, Technische Universität München, 85354 Freising-Weihenstephan, Germany
          [9 ]German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
          Author notes
          [* ]Corresponding author. Hector C. Keun, h.keun@ 123456imperial.ac.uk
          Article
          PMC6317696 PMC6317696 6317696 ems80789
          10.1021/acs.analchem.6b02930
          6317696
          27959516
          6f5100d5-c3cb-4844-b7d5-c30ec834d79e
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