Exploring Novel Biomarkers in Lipid Metabolism for Cardiovascular Disease Risk Assessment
Objective: To identify and analyse novel lipid biomarkers associated with lipid metabolism that are linked to cardiovascular disease risk. Methodology: This cross-sectional longitudinal observational study evaluated novel lipid biomarkers associated with cardiovascular disease (CVD) risk. A cohort of 200 participants aged 35 to 70 years, including individuals with confirmed CVD or those possessing two or more CVD risk factors, was assessed. Participants were recruited from general population screenings and cardiology outpatient clinics. Blood samples were collected following a 12-hour fast to measure traditional lipid markers (total cholesterol, LDL, HDL, triglycerides) and emerging lipid biomarkers (ceramides, sphingolipids, oxidized LDL). High-performance liquid chromatography and mass spectrometry were used for analysis. Statistical analysis, including multivariate regression and receiver operating characteristic (ROC) curve analysis, was performed to evaluate the predictive value of these biomarkers. Results: The study revealed significantly higher levels of total cholesterol, LDL, triglycerides, ceramides, sphingolipids, and oxidized LDL in the high-risk CVD group compared to the low-risk group (p < 0.05). Multivariate regression analysis demonstrated that ceramides and oxidized LDL had the highest odds ratios, indicating strong associations with CVD risk. ROC curve analysis showed ceramides and oxidized LDL to have greater predictive accuracy than traditional lipid markers, with areas under the curve (AUC) of 0.82 and 0.80, respectively. Conclusion: The study confirmed that novel lipid biomarkers, particularly ceramides and oxidized LDL, have superior predictive value for cardiovascular disease risk compared to traditional lipid indicators. These findings highlight the potential of incorporating these biomarkers into routine CVD risk assessment, allowing for earlier detection and improved preventative strategies.