Key result
Multimodal HDL subfraction analysis separates risk groups and correlates structural parameters with cardiovascular risk.
Why the study?
Particle composition alone cannot fully distinguish HDL dysfunction.
Observational
Analyzing HDL subfractions using multimodal structural and biochemical data may uncover novel biomarkers for atherosclerosis risk.
May identify novel atherosclerosis biomarkers; leaves open clinical adoption pending larger validation.
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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Correa et al. (2026) conducted an observational in Atherosclerosis risk. Multimodal analysis of HDL subfractions was evaluated on Correlations between structural parameters and cardiovascular risk status. Multimodal analysis integrating structural and biochemical data of HDL subfractions separated risk groups and revealed correlations between structural parameters and cardiovascular risk status.
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