National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Cardiovasc Diabetol. 2012 Oct 29;11:133. doi: 10.1186/1475-2840-11-133.
Mechanisms involved in metabolic syndrome (MetS) development include insulin resistance, weight regulation, inflammation and lipid metabolism. Aim of this study is to investigate the association of single nucleotide polymorphisms (SNPs) involved in these mechanisms with MetS.
In a random sample of the EPIC-NL study (n = 1886), 38 SNPs associated with waist circumference, insulin resistance, triglycerides, HDL cholesterol and inflammation in genome wide association studies (GWAS) were selected from the 50K IBC array and one additional SNP was measured with KASPar chemistry. The five groups of SNPs, each belonging to one of the metabolic endpoints mentioned above, were associated with MetS and MetS-score using Goeman's global test. For groups of SNPs significantly associated with the presence of MetS or MetS-score, further analyses were conducted.
The group of waist circumference SNPs was associated with waist circumference (P=0.03) and presence of MetS (P=0.03). Furthermore, the group of SNPs related to insulin resistance was associated with MetS score (P<0.01), HDL cholesterol (P<0.01), triglycerides (P<0.01) and HbA1C (P=0.04). Subsequent analyses showed that MC4R rs17782312, involved in weight regulation, and IRS1 rs2943634, related to insulin resistance were associated with MetS (OR 1.16, 95%CI 1.02-1.32 and OR 0.88, 95% CI 0.79; 0.97, respectively). The groups of inflammation and lipid SNPs were neither associated with presence of MetS nor with MetS score.
In this study we found support for the hypothesis that weight regulation and insulin metabolism are involved in MetS development.MC4R rs17782312 and IRS1 rs2943634 may explain part of the genetic variation in MetS.
代谢综合征(MetS)发展涉及的机制包括胰岛素抵抗、体重调节、炎症和脂质代谢。本研究旨在探讨这些机制中涉及的单核苷酸多态性(SNP)与 MetS 的关联。
在 EPIC-NL 研究的随机样本中(n=1886),从 50K IBC 阵列中选择与全基因组关联研究(GWAS)中腰围、胰岛素抵抗、甘油三酯、高密度脂蛋白胆固醇和炎症相关的 38 个 SNP,并使用 KASPar 化学法测量一个额外的 SNP。将属于上述代谢终点之一的五个 SNP 组分别与 MetS 和 MetS 评分进行 Goeman 全局检验关联。对于与 MetS 或 MetS 评分存在显著关联的 SNP 组,进行了进一步分析。
腰围 SNP 组与腰围(P=0.03)和 MetS 的存在(P=0.03)相关。此外,与胰岛素抵抗相关的 SNP 组与 MetS 评分(P<0.01)、高密度脂蛋白胆固醇(P<0.01)、甘油三酯(P<0.01)和 HbA1C(P=0.04)相关。后续分析表明,体重调节相关的 MC4R rs17782312 和胰岛素抵抗相关的 IRS1 rs2943634 与 MetS 相关(OR 1.16,95%CI 1.02-1.32 和 OR 0.88,95%CI 0.79;0.97)。炎症和脂质 SNP 组与 MetS 的存在或 MetS 评分均无关联。
在这项研究中,我们发现体重调节和胰岛素代谢参与 MetS 发展的假设得到了支持。MC4R rs17782312 和 IRS1 rs2943634 可能解释了 MetS 中部分遗传变异。