HDL-cholesterol in coronary artery disease risk: function or structure?

Area of Science:

• Cardiovascular Research
• Lipid Metabolism
• Biomarker Discovery

Background:

• High-density lipoproteins (HDL) show an inverse relationship with coronary artery disease (CAD).
• HDL-cholesterol is the standard measure, but interventions to raise it haven't consistently reduced CAD risk.
• Many myocardial infarction patients have normal HDL-cholesterol, and genetic studies question its causal link to CAD risk.

Purpose of the Study:

• To explore HDL subclasses as a more effective marker for CAD risk assessment.
• To investigate the relationship between HDL structure, function, and cardiovascular risk.

Main Methods:

• Review of existing literature on HDL-cholesterol, HDL functionality, and HDL subclasses in relation to CAD and type 2 diabetes mellitus (T2DM).
• Analysis of factors influencing HDL structure, including inflammation and environmental influences.
• Consideration of emerging proteomic and lipidomic profiling techniques for HDL analysis.

Main Results:

• HDL functionality, not just HDL-cholesterol levels, is crucial for assessing CAD risk.
• Specific HDL subclass patterns (low large HDL, high small HDL) are linked to increased risk of T2DM and CAD.
• Inflammation and environmental factors impact HDL structure, complicating direct clinical application.

Conclusions:

• HDL subclasses offer a promising alternative to HDL-cholesterol for evaluating cardiovascular risk.
• Further prospective studies are needed to validate the clinical utility of HDL subclasses.
• Proteomic and lipidomic analyses may yield novel HDL-related biomarkers for future clinical use.