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Composition and lipid spatial distribution of HDL particles in subjects with low and high HDL-cholesterol

  • Laxman Yetukuri
  • , Sanni Söderlund
  • , Artturi Koivuniemi
  • , Tuulikki Seppänen-Laakso
  • , Perttu Niemelä
  • , Marja Hyvönen
  • , Marja-Riitta Taskinen
  • , Ilpo Vattulainen
  • , Matti Jauhiainen
  • , Matej Orešič*
  • *Corresponding author for this work
    • University of Helsinki
    • Tampere University of Technology (TUT)
    • University of Oulu
    • Aalto University
    • University of Southern Denmark
    • Finnish Institute for Health and Welfare (THL)
    • Institute for Molecular Medicine Finland (FIMM)

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    A low level of high density lipoprotein cholesterol (HDL-C) is a powerful risk factor for cardiovascular disease. However, despite the reported key role of apolipo-proteins, specifically, apoA-I, in HDL metabolism, lipid molecular composition of HDL particles in subjects with high and low HDL-C levels is currently unknown. Here lipidomics was used to study HDL derived from well-characterized high and low HDL-C subjects. Low HDL-C subjects had elevated triacylglycerols and diminished lysophosphatidylcholines and sphingomyelins. Using information about the lipid composition of HDL particles in these two groups, we reconstituted HDL particles in silico by performing large-scale molecular dynamics simulations. In addition to confirming the measured change in particle size, we found that the changes in lipid composition also induced specific spatial distributions of lipids within the HDL particles, including a higher amount of triacylglycerols at the surface of HDL particles in low HDL-C subjects. Our findings have important implications for understanding HDL metabolism and function. For the first time we demonstrate the power of combining molecular profiling of lipoproteins with dynamic modeling of lipoprotein structure.
    Original languageEnglish
    Pages (from-to)2341-2351
    JournalJournal of Lipid Research
    Volume51
    Issue number8
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA1 Journal article-refereed

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • High-density lipoprotein
    • lipidomics
    • lipid metabolism
    • molecular dynamics

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