首页> 中文期刊> 《健康(英文)》 >The Role of Asymmetric Dimethylarginine and Lipoprotein Associated Phospholipase A2 in Children and Adolescents with Dyslipidemia

The Role of Asymmetric Dimethylarginine and Lipoprotein Associated Phospholipase A2 in Children and Adolescents with Dyslipidemia

         

摘要

Background: The pathophysiologic mechanisms which lead to cardiovascular (CV) events begin early in childhood. Atherosclerosis is recognized as a process of chronic and dynamic vascular inflammation induced primarily by endothelial dysfunction. Asymmetric dimethylarginine (ADMA) and lipoprotein associated phospholipase A2 (Lp-PLA2) are considered markers of early atherosclerosis and predictors of late complications in adults. Objectives: To establish the relationship between ADMA, Lp-PLA2 and traditional biochemically determined markers in children and adolescents with dyslipidemia. Material and Methods: The study population consisted of 102 children, 57 males/45 females, with a median age of 9.9 years. Seventy-one out of 102 had dyslipidemia (LDL-C levels ≥ 130 mg/dl). Lipid levels were estimated after an overnight fasting. LDL-C concentration was directly measured. ADMA and Lp-PLA2 levels were assessed by enzyme-linked immunosorbent assay (ELISA). Statistical analysis was performed using STATA for Windows v8.5. Results: ADMA was significantly positively correlated with all TC, LDL-C and non-HDL-C. Even small changes of the ADMA concentration were found to be followed by corresponding alterations in lipid levels. A positive correlation of borderline significance between Lp-PLA2 and LDL-C or non- HDL-C was observed. In addition, ADMA and Lp-PLA2 were significantly correlated. A strong correlation between Lp-PLA2 and dyslipidemia or lipid levels could not be established, probably due to the size and heterogeneity of our sample. Conclusions: A relationship of ADMA and Lp-PLA2 levels with biochemical markers associated with long-term risk of atherosclerosis in children and adolescents is supported. The assessment of these two biomarkers combined may improve CV risk prediction and future management strategies in the pediatric population.

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