Combined High-Density Lipoprotein Proteomic and Glycomic Profiles in Patients at Risk for Coronary Artery Disease

Sridevi Krishnan, Jincui Huang, Hyeyoung Lee, Andres Guerrero, Lars Berglund, Anuurad Erdembileg, Carlito B Lebrilla, Angela M. Zivkovic

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Objectives: To test whether recently developed methods for comprehensive profiling of the high-density lipoprotein (HDL) glycome combined with the HDL proteome can distinguish individuals with coronary artery disease (CAD) from those without. Methods: Twenty subjects at risk for CAD, who underwent diagnostic coronary arteriography, were analyzed. Ten subjects had CAD, and ten did not. HDL was extracted from fasting plasma samples by ultracentrifugation, followed by shotgun proteomic, glycomic, and ganglioside analyses using LC-MS. CAD vs non-CAD subjects' data were compared using univariate and multivariate statistics. Results: Principal components analysis showed a clear separation of CAD and non-CAD subjects, confirming that combined HDL proteomic and glycomic profiles distinguished at-risk subjects with atherosclerosis from those without. CAD patients had lower HDL apolipoprotein content (specifically ApoA-I, A-II, and E, p <0.05), and lower serum amyloid A2 (SAA2, p = 0.020) and SAA4 (p = 0.007) but higher sialylated glycans (p <0.05). Conclusion: Combined proteomic and glycomic profiling of isolated HDL was tested as a novel analytical approach for developing biomarkers of disease. In this pilot study we found that HDL proteome and glycome distinguished between individuals who had CAD from those who did not within a group of individuals equally at risk for heart disease.

Original languageEnglish (US)
Pages (from-to)5109-5118
Number of pages10
JournalJournal of Proteome Research
Volume14
Issue number12
DOIs
StatePublished - Dec 4 2015

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Glycomics
HDL Lipoproteins
Proteomics
Coronary Artery Disease
Proteome
Arteries
Apolipoproteins
Gangliosides
Ultracentrifugation
Apolipoprotein A-I
Firearms
Principal Component Analysis
varespladib methyl
Amyloid
Polysaccharides
Heart Diseases
Fasting
Atherosclerosis
Angiography
Biomarkers

Keywords

  • apolipoproteins
  • atherosclerosis
  • cardiovascular disease
  • coronary artery disease
  • glycolipids
  • glycomics
  • HDL
  • proteomics

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Cite this

Combined High-Density Lipoprotein Proteomic and Glycomic Profiles in Patients at Risk for Coronary Artery Disease. / Krishnan, Sridevi; Huang, Jincui; Lee, Hyeyoung; Guerrero, Andres; Berglund, Lars; Erdembileg, Anuurad; Lebrilla, Carlito B; Zivkovic, Angela M.

In: Journal of Proteome Research, Vol. 14, No. 12, 04.12.2015, p. 5109-5118.

Research output: Contribution to journalArticle

Krishnan, Sridevi ; Huang, Jincui ; Lee, Hyeyoung ; Guerrero, Andres ; Berglund, Lars ; Erdembileg, Anuurad ; Lebrilla, Carlito B ; Zivkovic, Angela M. / Combined High-Density Lipoprotein Proteomic and Glycomic Profiles in Patients at Risk for Coronary Artery Disease. In: Journal of Proteome Research. 2015 ; Vol. 14, No. 12. pp. 5109-5118.
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AB - Objectives: To test whether recently developed methods for comprehensive profiling of the high-density lipoprotein (HDL) glycome combined with the HDL proteome can distinguish individuals with coronary artery disease (CAD) from those without. Methods: Twenty subjects at risk for CAD, who underwent diagnostic coronary arteriography, were analyzed. Ten subjects had CAD, and ten did not. HDL was extracted from fasting plasma samples by ultracentrifugation, followed by shotgun proteomic, glycomic, and ganglioside analyses using LC-MS. CAD vs non-CAD subjects' data were compared using univariate and multivariate statistics. Results: Principal components analysis showed a clear separation of CAD and non-CAD subjects, confirming that combined HDL proteomic and glycomic profiles distinguished at-risk subjects with atherosclerosis from those without. CAD patients had lower HDL apolipoprotein content (specifically ApoA-I, A-II, and E, p <0.05), and lower serum amyloid A2 (SAA2, p = 0.020) and SAA4 (p = 0.007) but higher sialylated glycans (p <0.05). Conclusion: Combined proteomic and glycomic profiling of isolated HDL was tested as a novel analytical approach for developing biomarkers of disease. In this pilot study we found that HDL proteome and glycome distinguished between individuals who had CAD from those who did not within a group of individuals equally at risk for heart disease.

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