PLASMA LIPIDOMIC PROFILES AND THEIR ASSOCIATION WITH EARLY CARDIOVASCULAR DYSFUNCTION IN YOUNG ADULTS WITH METABOLIC SYNDROME

Abstract

Background: Metabolic syndrome is becoming a common problem in young adults with a high predictive value for future cardiovascular disease. Evidence is slowly emerging that negative lipidomic and metabolic changes could play a role in initial cardiovascular dysfunction, even though the clinical disease has not yet manifested. Nevertheless, there is limited information that examines these relationships among young adults.

Objective: To determine the relationship between early cardiovascular dysfunction and plasma lipidomic profiles in young people with metabolic syndrome.

Methods: It was a cross-sectional observational study that involved young adults between the ages of 18 and 35 years who were diagnosed with metabolic syndrome using ATP criteria of III. The demographic, anthropometric, lifestyle, and clinical information were gathered on a structured questionnaire. Routine biochemical analysis and lipidomic profiling. Plasma Lipidomic profiling Fasting blood samples were collected. Early R-Cardiovascular dysfunction was measured by non-invasive measurements, such as the stiffness indices of the arteries and echocardiographic values. Normality, reliability, and validity of the data had been established before analysis. Independent Samples t-test, One-way ANOVA, Kruskal-Wallis test, and Chi-square test were used to make comparisons between groups. Pearson correlation and multiple linear regression were used to assess the relationships between lipidomic parameters and cardiovascular dysfunction.

Results: Continuous variables had an ideal normal distribution, showing a high level of reliability and reasonable construct validity. There was a considerable variation according to demographic and metabolic populations. Pearson correlation analysis showed a positive correlation between metabolic parameters and lipid variables, and the independent variable with early cardiovascular dysfunction. Multilinear regression analysis found body mass index, systolic blood pressure, fasting blood glucose, triglycerides, and HDL-cholesterol as positive independent predictors of early cardiovascular dysfunction. The regression model attributed a significant variation in cardiovascular disease to the regression model.

Conclusion: Early cardiovascular dysfunction in young adults with metabolic syndrome is strongly related to plasma lipidomic and metabolic abnormalities. The findings highlight the necessity to identify and treat early metabolic and lipid abnormalities and to prevent cardiovascular disease in the future among this high-risk group of individuals.