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Updated: May 5, 2026
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Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein
Published on: October 12, 2017
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Characterizing lipoprotein profiles in coronary atherosclerosis development through quantitative lipidomics and
Hiroaki Takeda1,2, Yoshihiro Izumi3, Yui Koike4
1Division of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
NPJ Cardiovascular Health
|March 3, 2026
Summary
Specific ceramide levels in lipoproteins correlate with coronary atherosclerosis progression. This finding offers new insights into cardiovascular disease risk beyond traditional markers.
Area of Science:
- Cardiovascular Science
- Lipid Metabolism
- Proteomics and Lipidomics
Background:
- Lipoproteins are crucial for lipid transport, and their quality impacts cardiovascular health.
- Current markers inadequately predict cardiovascular disease risk.
- Myocardial infarction-prone rabbits offer a model to study coronary-specific atherosclerosis factors.
Purpose of the Study:
- To characterize lipoprotein composition during coronary atherosclerosis progression.
- To identify early lipoprotein-specific markers of coronary atherosclerosis.
- To explore the relationship between lipoprotein composition and disease severity.
Main Methods:
- Quantitative lipidomics and proteomics were used to profile lipids and apolipoproteins in lipoproteins.
- Samples were collected every four months from rabbits over 20 months.
- Network analysis was employed to associate lipid clusters with disease severity.
Main Results:
- Coronary atherosclerosis severity positively correlated with long-chain saturated ceramides in very-low- and low-density lipoproteins at eight months.
- This association was independent of apolipoproteins and traditional lipid risk factors.
- Lipid class-specific clusters were linked to disease severity through network analysis.
Conclusions:
- Early elevations in specific ceramides within lipoproteins may predict coronary atherosclerosis.
- Lipoprotein composition provides novel insights into cardiovascular disease risk.
- This multi-omics approach reveals new contributors to atherosclerosis development.
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