Impact of sample preparation upon intracellular metabolite measurements in 3D cell culture systems Peer-Reviewed Publications peerreviewedpublications Systems ToxicologyPre-clinical Toxicologysystemstoxicologypreclinicaltoxicology Jun 12, 2019 20190612 Metabolomics /content/dam/pmiscience/default-fallback-thumbnails/publication/pmi-science-device-thumbnail1.jpg Metabolomics
      Peer-Reviewed Publications

      Impact of sample preparation upon intracellular metabolite measurements in 3D cell culture systems

      Mathon, C.; Bovard, D.; Dutertre, Q.; Bentley, M.; Hoeng, J.; Knorr, A.
      Published
      Jun 12, 2019
      DOI
      10.1007/s11306-019-1551-0
      PMID
      31190156
      Topic
      Summary

      Introduction: Interest in cell culture metabolomics has increased greatly in recent years because of its many potential applications and advantages (e.g., in toxicology). The first critical step for exploring the cellular metabolome is sample preparation. For metabolomics studies, an ideal sample preparation would extract a maximum number of metabolites and would enable reproducible, accurate analysis of a large number of samples and replicates. In addition, it would provide consistent results across several studies over a relatively long time frame. Objectives:This study was conducted to evaluate the impact of sample preparation strategies on monitoring intracellular metabolite responses, highlighting the potential critical step(s) in order to finally improve the quality of metabolomics studies. Methods: The sample preparation strategies were evaluated by calculating the sample preparation effect, matrix factor, and process efficiency (PE) for 16 tobacco exposition-related metabolites, including nicotine, nicotine-derived nitrosamine ketone, their major metabolites, and glutathione, using isotopically-labelled internal standards. Samples were analyzed by liquid chromatography (LC) coupled to high-resolution mass spectrometry (HRMS). Results: A sample drying step increased losses or variability for some selected metabolites. By avoiding evaporation, good sample preparation recovery was obtained for these compounds. For some metabolites, the cell or culture type impacted PE and matrix factor. Conclusion: In our sample preparation protocol, the drying–reconstitution step was identified as the main cause of metabolite losses or increased data variability during metabolomics analysis by LC-HRMS. Furthermore, PE was affected by the type of matrix. Isotopologue internal standards fully compensate losses or enhancements.