Relationship Between High-Density Lipoprotein Subtypes and Coronary Heart Disease Prognosis.

Cardiovascular disease (CVD) is the leading cause of human mortality worldwide, imposing substantial societal and economic burdens. Traditionally, high-density lipoprotein (HDL) has been branded as the "beneficial" lipoprotein. The Framingham study found that for every 1mg/dl increase in HDL, the risk of coronary heart disease (CHD) was reduced by 2% in men and 3% in women. Subsequent studies further affirmed the inverse correlation between HDL and the risk of CHD. However, these findings were first challenged by Mendelian randomization studies which failed to identify a causal relationship between HDL and CHD. Moreover, randomized controlled trials demonstrated that therapeutically increasing plasma HDL concentrations did not reduce the risk of CHD events, prompting doubts about HDL's status as "good cholesterol." The relationship between HDL and CHD might be more intricate than previously believed, possibly not just mediated by the quantity of HDL but also intimately linked with its function. Several cross-sectional studies have confirmed the relationship between HDL subtypes and the severity of disease in CHD patients, yet findings are inconsistent. Conventional testing methods lack a universally accepted standard for defining or describing HDL subfractions, with issues like expensive equipment, poor repeatability, cumbersome operation, slow analysis, and low throughput. Microfluidic electrophoresis technology combines the merits of electrophoresis with microfluidic chip technology. This method facilitates efficient separation of substances in microchannels on a substrate, providing rapid and consistent results. Utilizing the latest microfluidic chip technology for HDL subfraction detection offers quick, accurate, and straightforward analysis with minimal sample volume and automation. It precisely reflects the serum concentrations of HDL subfractions HDL2b and HDL3, addressing the current pitfalls of clinical HDL subfraction analysis methods. This approach is poised to become the standard method for HDL subfraction testing. In conclusion, existing studies on the association between HDL subtypes and CHD remain inconsistent, with most having a small sample size. Our study, leveraging microfluidic chip technology for HDL subfraction detection, aims to further investigate: the prognostic value of HDL subtypes for the long-term outcomes of CHD patients, building a risk prediction model for adverse cardiovascular events that includes HDL subtypes.