Abstract
Cholesterol has long been recognized as a major risk factor for cardiovascular diseases with traditional guidelines emphasizing the reduction of LDL cholesterol and triglycerides, and the increase of HDL cholesterol to lower morbidity and mortality. However, recent studies have questioned the predictive value of these traditional cholesterol measures in coronary artery disease. The concept of the cholesterol paradox has emerged, highlighting instances where elevated LDL cholesterol or high HDL levels have an inverse relationship with cardiovascular risk, particularly in certain diseased populations. This paradox has sparked significant debate in the scientific community. Explanations for the paradox include nutritional deficiencies, inflammation, and variations in cholesterol particle characteristics such as size, number, and quality. For instance, smaller, denser LDL particles and dysfunctional HDL may contribute more to atherosclerosis and cardiovascular risk than traditional lipid measures indicate. Inflammation, commonly seen in chronic diseases, can also alter lipid metabolism and reduce cholesterol levels while increasing CAD risk. These findings suggest a need for updated clinical guidelines that incorporate more comprehensive cholesterol measures, including particle size and number, and account for other factors such as inflammation and nutritional status. Further research and improved clinical practices are essential to better predict and manage cardiovascular disease risk.
Keywords
Cholesterol paradox, HDL, LDL, Reverse epidemiology