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A Lipidome-Wide Association Study: Data Processing, Annotation, and Analysis Workflow Using MS-DIAL and R

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A Practical Guide to Metabolomics Applications in Health and Disease

Part of the book series: Learning Materials in Biosciences ((LMB))

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Abstract

This section provides the theoretical background on metabolic phenoty** and its application to human research. We highlight major determinants of the serum lipid composition and describe the principles of mass spectrometry (MS)-based lipidomics as a tool to uncover sex-related differences. Using healthy young (in their twenties) and aged (in their seventies) participants from the Complete Health cohort, we illustrate the workflow on how MS-based lipid signatures can be translated into biologically and physiologically relevant information.

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Author notes

  1. Authors O. Salamin and J. Carrard have contributed equally to this chapter.

Authors and Affiliations

  1. Metabolomics Unit, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland

    Olivier Salamin, Tony Teav, Hector Gallart-Ayala & Julijana Ivanisevic

  2. Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland

    Justin Carrard & Arno Schmidt-Trucksäss

Authors
  1. Olivier Salamin
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  2. Justin Carrard
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  3. Tony Teav
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  4. Arno Schmidt-Trucksäss
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  5. Hector Gallart-Ayala
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  6. Julijana Ivanisevic
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Corresponding authors

Correspondence to Olivier Salamin , Justin Carrard or Julijana Ivanisevic .

Editor information

Editors and Affiliations

  1. Faculty of Biology & Medicine, University of Lausanne, Lausanne, Switzerland

    Julijana Ivanisevic

  2. Center for Proteomics & Metabolomics, Leiden University Medical Center, Leiden, The Netherlands

    Martin Giera

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Salamin, O., Carrard, J., Teav, T., Schmidt-Trucksäss, A., Gallart-Ayala, H., Ivanisevic, J. (2023). A Lipidome-Wide Association Study: Data Processing, Annotation, and Analysis Workflow Using MS-DIAL and R. In: Ivanisevic, J., Giera, M. (eds) A Practical Guide to Metabolomics Applications in Health and Disease. Learning Materials in Biosciences. Springer, Cham. https://doi.org/10.1007/978-3-031-44256-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-44256-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-44255-1

  • Online ISBN: 978-3-031-44256-8

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