Network-Based Analysis on Orthogonal Separation of Human Plasma Uncovers Distinct High Density Lipoprotein Complexes

Hailong Li, Scott M. Gordon, Xiaoting Zhu, Jingyuan Deng, Debi K. Swertfeger, W. Sean Davidson, L. Jason Lu

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

High density lipoprotein (HDL) particles are blood-borne complexes whose plasma levels have been associated with protection from cardiovascular disease (CVD). Recent studies have demonstrated the existence of distinct HDL subspecies; however, these have been difficult to isolate and characterize biochemically. Here, we present the first report that employs a network-based approach to systematically infer HDL subspecies. Healthy human plasma was separated into 58 fractions using our previously published three orthogonal chromatography techniques. Similar local migration patterns among HDL proteins were captured with a novel similarity score, and individual comigration networks were constructed for each fraction. By employing a graph mining algorithm, we identified 183 overlapped cliques, among which 38 were further selected as candidate HDL subparticles. Each of these 38 subparticles had at least two literature supports. In addition, GO function enrichment analysis showed that they were enriched with fundamental biological and CVD protective functions. Furthermore, gene knockout experiments in mouse model supported the validity of these subparticles related to three apolipoproteins. Finally, analysis of an apoA-I deficient human patients plasma provided additional support for apoA-I related complexes. Further biochemical characterization of these putative subspecies may facilitate the mechanistic research of CVD and guide targeted therapeutics aimed at its mitigation.

Original languageEnglish
Pages (from-to)3082-3094
Number of pages13
JournalJournal of Proteome Research
Volume14
Issue number8
DOIs
StatePublished - Aug 7 2015

Bibliographical note

Publisher Copyright:
© 2015 American Chemical Society.

Keywords

  • apolipoprotein
  • comigration pattern
  • high-density lipoprotein
  • human plasma
  • maximal clique
  • particle fractionation
  • protein network
  • proteomics
  • subspecies

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry (all)

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