Title of article :
Paraoxonase activity in metabolic syndrome in children and adolescents
Author/Authors :
Adhe-Rojekar, Arati Department of IVF- PD Hinduja National Hospital and Research Center, Mahim Mumbai, India , Ramchandra, Mukund Mogarekar Department of Biochemistry - SRTR Govt Medical College, Ambajogai, India , Vijay Rojekar, Mohit Department of Biochemistry - Rajiv Gandhi Medical College, Thane, India
Pages :
5
From page :
116
To page :
120
Abstract :
Background: Metabolic syndrome (MetS) is a collection of various interrelated risk factors that appear to have an impact as development of atherosclerotic cardiovascular disease (CVDs). Epidemic of childhood and adolescent’s obesity has increased interest in the metabolic syndrome (MS) due to the potential projection into adulthood. The prevalence of MS in adolescents has been estimated to be 6.7% in young adults and 4.2% in adolescents. We aimed to study the MetS in children and adolescents with respect to metabolic changes. Methods: The international Diabetes Federation criteria were used for the selection of cases. Serum paraoxonase 1 (PON1) activities were measured using spectrophotometer. Statistical analysis was done using MyStat statistical software. Results: Serum PON1 arylesterase (ARE) and lactonase (LACT) activities were found to be reduced significantly in patients with MetS than in controls. Regression analysis showed a significant correlation between PON1 activities and body mass index. Area under curve (AUC) found to increase from HDL to PON1 ARE to PON1 LACT. Conclusions: From the present study, it is clear that in children and adolescents, reduction in PON1 activities in MetS is mainly due either to abnormalities with synthesis or secretion of HDL cholesterol or oxidative stress as a consequence of excess production of the free radicals. This study also iterates that it is the quality and not the quantity of HDL cholesterol which is important while studying the pathophysiology of MetS.
Keywords :
Paraoxonase1 , Arylesterase , Lactonase , Area under Curve , ROC curve , Regression Analysis
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2471566
Link To Document :
بازگشت