Abstract

Background: To date, nearly 300 single-nucleotide polymorphisms (SNPs) associated with BMI, waist-to-hip ratio, and other adiposity traits have been identified by GWAS. With regards to IL10, at least 49 IL10-associated polymorphisms have been reported. However, little is known regarding the relationship between SNPs of the IL10 gene and the risk of obesity in young men. The aim of the present study was to investigate the relationship between SNPs of the IL10 and IL10RB genes and the risk of obesity in young men. Methods: A cohort of 139 male students were enrolled and the following IL10 and IL10RB SNPs were analyzed: IL10 (rs1518110), IL10 (rs3024491), IL10RB (rs2834167). The subjects were divided into groups depending on obesity parameters: body mass index (BMI), fat mass index (FMI) and fat percentage (Fat%). Statistical analysis was conducted for a single locus and haplotypes, an association between SNPs and body composition parameters was tested with four genetic models: dominant, recessive, codominant and overdominant mode of inheritance (MOI). Results: Significant association was found for interaction IL10 (rs1518110) × IL10RB (rs2834167) with Fat% value exceeding 20 in codominant (p-value = 0.03, OR = 0.34, 95% CI 0.08 1.44) and dominant model (p-value = 0.03, OR = 0.34, 95% CI 0.08 1.44) Conclusion: Our study shows for the first time that there is a correlation between the occurrence of specific polymorphisms of IL10 gene (rs1518110, rs3024491 and rs2834167) and the possibility of obesity.

Highlights

  • Little is known regarding the relationship between single-nucleotide polymorphisms (SNPs) of the IL10 gene and the risk of overweight and obesity in young men

  • The aim of the present study was to investigate the relationship between SNPs of the IL10 gene and the risk of overweight in young men

  • Amongst parameters such as age, height, weight, metabolic age, visceral tissue index, Fat, FFM, FFMI, water%, body mass index (BMI), fat mass index (FMI), Fat% according to the t-test, highly significant differences were found with p-value between 0.00 and 0.01 for OVERBMI and CONBMI

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Summary

Introduction

In the majority of fully developed countries of the world, a constant and noticeable increase in the frequency of the occurrence of overweight and obesity has been observed. According to the American Heart Association, obesity is the cause of many adverse changes in the body that are directly proportional to health disorder development [1,2]. Obesity is often associated with chronic low-grade inflammation. Inflammation is a physiological response necessary to restore homeostasis altered by diverse stimuli. Excessive inflammatory signals might have deleterious effects. Faloia et al emphasized that inflammation-associated intracellular signalling pathways linking inflammation and obesity exist. Studies in mice and humans have shown that nutrients consumption might acutely evoke inflammatory responses. It is believed that the inciting signal of inflammation is overfeeding. This initiates a cascade of signalling pathways [3]

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