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Published on: October 12, 2017
Deciphering high density lipoprotein (HDL) structure-function: Detailed analysis of HDL subfractions reveals
Yubexi Correa1, Birgit Felderer2, Martin Jansen3
1Biofilms - Research Center for Biointerfaces and Department of Biomedical Science, Faculty of Health and Society, Malmö University, 20506, Malmö, Sweden.
Insights
High-density lipoprotein (HDL) subfractions show distinct structures crucial for cardiovascular health. Analyzing HDL's detailed structure, not just its overall composition, improves understanding of atherosclerosis risk.
Area of Science:
- Biochemistry
- Structural Biology
- Cardiovascular Science
Background:
- High-density lipoproteins (HDL) are vital for cardiovascular health, but HDL dysfunction is linked to atherosclerosis.
- HDL exists as diverse subfractions (e.g., HDL2b, HDL2a, HDL3) with varying structures and functions.
- Understanding HDL subfraction ultrastructure is key to elucidating HDL dysfunction mechanisms and improving disease risk prediction.
Purpose of the Study:
- To structurally characterize total HDL and its subfractions (HDL2b, HDL2a, HDL3) using advanced imaging techniques.
- To investigate the relationship between HDL subfraction structure, composition, and cardiovascular risk.
- To assess the utility of multimodal analysis integrating structural and biochemical data for atherosclerosis risk stratification.
Main Methods:
- Small-Angle X-ray Scattering (SAXS) and cryogenic-electron tomography (cryo-ET) were used for detailed structural analysis.
- Structural models of HDL subfractions were generated, revealing distinct ultrastructural features.
- Serum samples from individuals with low or high atherosclerosis risk were analyzed for HDL structural and biochemical properties.
Main Results:
- Significant structural variations exist across HDL subfractions, with HDL3 exposing its core.
- Analysis of total HDL can be misleading; subfractional analysis is essential.
- Structural differences in HDL3 were more pronounced than biochemical differences in HDL2 between risk groups.
- Integrated structural and biochemical data successfully differentiated cardiovascular risk groups.
Conclusions:
- HDL subfraction structure is a critical determinant of cardiovascular risk, beyond mere composition.
- Multimodal analysis integrating structural and biochemical data offers a promising approach for atherosclerosis risk assessment.
- Specific HDL subfractions and their structural features may serve as novel biomarkers for cardiovascular disease risk.
Abstract:
High-density lipoproteins (HDL) are crucial for cardiovascular health. HDL dysfunction is strongly linked to atherosclerosis and other diseases. Although HDL is often treated as a single entity, it comprises a spectrum of subfractions differing in size, structure, and composition. Understanding the ultrastructure and function of these subfractions is essential for uncovering the molecular mechanisms behind HDL dysfunction and improving disease risk prediction. We employed Small-Angle X-ray Scattering (SAXS) and cryogenic-electron tomography (cryo-ET) to analyze the structural features of total HDL and its subfractions: HDL2b, HDL2a, and HDL3. We present updated, detailed structural models showing that the structure of HDL changes dramatically from the smallest to the largest subfraction, with HDL3 partially exposing the core to the particle's surface. Moreover, total HDL reflects the weighted sum of its subfractions, emphasizing that analysis of total HDL alone may be misleading. HDL subfractions were also studied in serum samples from 16 individuals classified as low- or high-risk for atherosclerosis. Even though biochemical differences appeared mainly in HDL2, structural differences were most pronounced in HDL3 addressing that particle composition alone cannot fully distinguish HDL dysfunction. Multimodal analysis integrating structural and biochemical data was able to separate risk groups and revealed correlations between structural parameters and cardiovascular risk status. Our findings support the importance of analyzing HDL subfractions to uncover molecular drivers of disease risk and suggest candidate biomarkers for atherosclerosis upon validation in larger cohorts.
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