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首页> 外文期刊>Cardiovascular Diabetology >Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study
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Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study

机译:涉及胰岛素抵抗,体重调节,脂质代谢和与代谢综合征相关的炎症的单核苷酸多态性(SNP):一项流行病学研究

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Background 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. Methods 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. Results 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 (PMC4R 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. Conclusions 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.
机译:背景技术代谢综合症(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。这项研究的目的是调查参与这些机制的单核苷酸多态性(SNP)与MetS的关联。方法在EPIC-NL研究的随机样本(n = 1886)中,从50K IBC阵列中选择了38个与腰围,胰岛素抵抗,甘油三酸酯,HDL胆固醇和炎症相关的SNP,并从全基因组关联研究(GWAS)中选择了一个另外的SNP用KASPar化学法测量。使用Goeman的全球检验,将五组SNP分别属于上述代谢终点之一,将它们与MetS和MetS得分相关联。对于与MetS或MetS得分的存在显着相关的SNP组,进行了进一步的分析。结果腰围SNPs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得分相关(PMC4R rs17782312,与体重调节相关,与胰岛素抵抗相关的IRS1 rs2943634,与胰岛素抗性相关,与MetS相关(OR 1.16、95%CI 1.02-1.32和OR 0.88, 95%CI分别为0.79; 0.97)。炎症和脂质SNPs的类别与MetS的存在或MetS得分均无关。结论在这项研究中,我们支持体重调节和胰岛素代谢参与MetS发育这一假说。 MC4R rs17782312和IRS1 rs2943634可能解释了MetS中的部分遗传变异。

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