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An integrative systems genetic analysis of mammalian lipid metabolism

Author

Listed:
  • Benjamin L. Parker

    (University of Sydney)

  • Anna C. Calkin

    (Baker Heart & Diabetes Institute
    Monash University)

  • Marcus M. Seldin

    (University of California Los Angeles (UCLA))

  • Michael F. Keating

    (Baker Heart & Diabetes Institute
    Monash University
    Baker Heart & Diabetes Institute)

  • Elizabeth J. Tarling

    (University of California Los Angeles (UCLA)
    University of California Los Angeles (UCLA))

  • Pengyi Yang

    (University of Sydney)

  • Sarah C. Moody

    (Baker Heart & Diabetes Institute
    Baker Heart & Diabetes Institute)

  • Yingying Liu

    (Baker Heart & Diabetes Institute
    Baker Heart & Diabetes Institute)

  • Eser J. Zerenturk

    (Baker Heart & Diabetes Institute
    Baker Heart & Diabetes Institute)

  • Elise J. Needham

    (University of Sydney)

  • Matthew L. Miller

    (University of California Los Angeles (UCLA))

  • Bethan L. Clifford

    (University of California Los Angeles (UCLA))

  • Pauline Morand

    (University of California Los Angeles (UCLA))

  • Matthew J. Watt

    (University of Melbourne)

  • Ruth C. R. Meex

    (University of Melbourne)

  • Kang-Yu Peng

    (Baker Heart & Diabetes Institute)

  • Richard Lee

    (Ionis Therapeutics Inc.)

  • Kaushala Jayawardana

    (Baker Heart & Diabetes Institute)

  • Calvin Pan

    (University of California Los Angeles (UCLA))

  • Natalie A. Mellett

    (Baker Heart & Diabetes Institute)

  • Jacquelyn M. Weir

    (Baker Heart & Diabetes Institute)

  • Ross Lazarus

    (Baker Heart & Diabetes Institute)

  • Aldons J. Lusis

    (University of California Los Angeles (UCLA))

  • Peter J. Meikle

    (Baker Heart & Diabetes Institute)

  • David E. James

    (University of Sydney)

  • Thomas Q. Aguiar Vallim

    (University of California Los Angeles (UCLA)
    University of California Los Angeles (UCLA)
    University of California Los Angeles (UCLA))

  • Brian G. Drew

    (Monash University
    Baker Heart & Diabetes Institute)

Abstract

Dysregulation of lipid homeostasis is a precipitating event in the pathogenesis and progression of hepatosteatosis and metabolic syndrome. These conditions are highly prevalent in developed societies and currently have limited options for diagnostic and therapeutic intervention. Here, using a proteomic and lipidomic-wide systems genetic approach, we interrogated lipid regulatory networks in 107 genetically distinct mouse strains to reveal key insights into the control and network structure of mammalian lipid metabolism. These include the identification of plasma lipid signatures that predict pathological lipid abundance in the liver of mice and humans, defining subcellular localization and functionality of lipid-related proteins, and revealing functional protein and genetic variants that are predicted to modulate lipid abundance. Trans-omic analyses using these datasets facilitated the identification and validation of PSMD9 as a previously unknown lipid regulatory protein. Collectively, our study serves as a rich resource for probing mammalian lipid metabolism and provides opportunities for the discovery of therapeutic agents and biomarkers in the setting of hepatic lipotoxicity.

Suggested Citation

  • Benjamin L. Parker & Anna C. Calkin & Marcus M. Seldin & Michael F. Keating & Elizabeth J. Tarling & Pengyi Yang & Sarah C. Moody & Yingying Liu & Eser J. Zerenturk & Elise J. Needham & Matthew L. Mil, 2019. "An integrative systems genetic analysis of mammalian lipid metabolism," Nature, Nature, vol. 567(7747), pages 187-193, March.
  • Handle: RePEc:nat:nature:v:567:y:2019:i:7747:d:10.1038_s41586-019-0984-y
    DOI: 10.1038/s41586-019-0984-y
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