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Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples

Author

Listed:
  • Raissa Lerner

    (University Medical Center)

  • Dhanwin Baker

    (University Medical Center)

  • Claudia Schwitter

    (University Medical Center)

  • Sarah Neuhaus

    (University Medical Center)

  • Tony Hauptmann

    (Johannes Gutenberg University Mainz)

  • Julia M. Post

    (University Medical Center)

  • Stefan Kramer

    (Johannes Gutenberg University Mainz)

  • Laura Bindila

    (University Medical Center)

Abstract

Lipidomics encompassing automated lipid extraction, a four-dimensional (4D) feature selection strategy for confident lipid annotation as well as reproducible and cross-validated quantification can expedite clinical profiling. Here, we determine 4D descriptors (mass to charge, retention time, collision cross section, and fragmentation spectra) of 200 lipid standards and 493 lipids from reference plasma via trapped ion mobility mass spectrometry to enable the implementation of stringent criteria for lipid annotation. We use 4D lipidomics to confidently annotate 370 lipids in reference plasma samples and 364 lipids in serum samples, and reproducibly quantify 359 lipids using level-3 internal standards. We show the utility of our 4D lipidomics workflow for high-throughput applications by reliable profiling of intra-individual lipidome phenotypes in plasma, serum, whole blood, venous and finger-prick dried blood spots.

Suggested Citation

  • Raissa Lerner & Dhanwin Baker & Claudia Schwitter & Sarah Neuhaus & Tony Hauptmann & Julia M. Post & Stefan Kramer & Laura Bindila, 2023. "Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36520-1
    DOI: 10.1038/s41467-023-36520-1
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    References listed on IDEAS

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    1. Catherine G. Vasilopoulou & Karolina Sulek & Andreas-David Brunner & Ningombam Sanjib Meitei & Ulrike Schweiger-Hufnagel & Sven W. Meyer & Aiko Barsch & Matthias Mann & Florian Meier, 2021. "Reply to “Quality control requirements for the correct annotation of lipidomics data”," Nature Communications, Nature, vol. 12(1), pages 1-4, December.
    2. Rubina Tabassum & Joel T. Rämö & Pietari Ripatti & Jukka T. Koskela & Mitja Kurki & Juha Karjalainen & Priit Palta & Shabbeer Hassan & Javier Nunez-Fontarnau & Tuomo T. J. Kiiskinen & Sanni Söderlund , 2019. "Genetic architecture of human plasma lipidome and its link to cardiovascular disease," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    3. Catherine G. Vasilopoulou & Karolina Sulek & Andreas-David Brunner & Ningombam Sanjib Meitei & Ulrike Schweiger-Hufnagel & Sven W. Meyer & Aiko Barsch & Matthias Mann & Florian Meier, 2020. "Trapped ion mobility spectrometry and PASEF enable in-depth lipidomics from minimal sample amounts," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
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    Cited by:

    1. Tian Xia & Feng Zhou & Donghui Zhang & Xue Jin & Hengxue Shi & Hang Yin & Yanqing Gong & Yu Xia, 2023. "Deep-profiling of phospholipidome via rapid orthogonal separations and isomer-resolved mass spectrometry," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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