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Year : 2015  |  Volume : 10  |  Issue : 1  |  Page : 27-31

Serum levels of monocyte chemoattractant protein-1, interlukin-6, and paraoxonase-1 in childhood obesity

1 Department of Child Health, National Research Center, Cairo, Egypt
2 Department of Medical Biochemistry, National Research Center, Cairo, Egypt
3 Department of Pediatrics, Research Institute of Ophthalmology, Cairo, Egypt

Correspondence Address:
Rania N Sabry
Department of Child Health, National Research Centre, El Bouhooth Street, 12311 Dokki, Cairo
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/1687-4293.159371

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Background/aim Obesity is becoming an epidemic health problem. Elevated cytokines and chemokines are prominent features in obesity, which play a main role in the development of other chronic diseases. The aim of this study was to determine the serum levels of monocyte chemoattractant protein-1 (MCP-1), interlukin-6 (IL-6), and serum paraoxonase-1 (PON1) in childhood obesity. Materials and methods The present study included 40 obese school-aged children (5-15 years) and 40 healthy children as controls. The patients were presented to the outpatient clinic in National Institute of Nutrition. MCP-1, IL-6, PON1, total cholesterol, and triglycerides were measured in all participants. Results The mean serum levels of MCP-1, IL-6, and total cholesterol were significantly higher in obese participants than in controls (P < 0.0001), whereas the PON1 was significantly lower in obese participants than in controls (P < 0.0001). MCP-1, IL-6, and serum cholesterol levels showed significant positive correlation with BMI (P < 0.05), whereas PON1 showed a significant negative correlation with BMI (P < 0.05). Multiple regression analysis showed a strong association between PON1 activity and BMI (P < 0.0001). Conclusion Childhood obesity is associated with increased serum MCP-1 and IL-6 and decreased PON1 and hypercholesterolemia suggesting an increase in adulthood disease risk. Measuring serum MCP-1, IL-6, PON1 activity in obese children may be a good predictor for future chronic disease development and complications.

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