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胰岛素相关基因和营养素的变异相互作用增加了 2 型糖尿病的风险。

Interactions among the variants of insulin-related genes and nutrients increase the risk of type 2 diabetes.

机构信息

Division of Personal Genome Service, Theragen Etex Bio Institute Co., Ltd., Suwon, Gyeonggi, South Korea.

Division of Endocrinology & Metabolism, Cheil General Hospital & Women's Healthcare Center, Dankook University College of Medicine, Seoul, South Korea.

出版信息

Nutr Res. 2018 Mar;51:82-92. doi: 10.1016/j.nutres.2017.12.012. Epub 2018 Jan 5.

Abstract

Asians easily develops type 2 diabetes (T2DM) since they have insufficient glucose-stimulated insulin secretion (GSIS) in insulin resistant states. Since this may be associated with genetic background, the hypothesis of this study was that inter-genetic and gene-nutrient interactions may explain the low insulin secretory capacity of Asians. Accordingly, we identified the best gene-gene and gene-nutrient interactions using generalized multifactor dimensionality reduction (GMDR) in a large Korean cohort (n=8,842). Initially, we used 105 genetic variants associated with GSIS to identify the best gene-gene interaction model using the GMDR method. The best model included six SNPs, FNBP1L-rs4847428, FNBP1L-rs23766, GLIS3-rs2027393, GLIS3-rs3892354, GLIS3-rs486163 and DLC1-rs17093957. For each individual, we obtained the genetic risk scores based on the best model (GRSBM) to predict the GSIS levels. The GRSBM were divided into low, medium and high groups, and the association between T2DM and the GRSBM was measured using logistic regression. We analyzed the interaction between the GRSBM and the nutrition intakes. The adjusted odds ratios for T2DM risk increased by 1.701 fold in the high-score group compared to the low-score group. HOMA-B, an index of insulin secretion capacity, but not insulin resistance index was much lower in the high-score group than the low-score group. The association between the GRSBM and T2DM risk was greater in subjects with high energy intakes and low Ca intake, than those with low energy intake and high Ca intake. The high-score group was susceptible to T2DM incidence due to lower GSIS than the low-score group especially in subjects with high energy intake. In conclusion, the hypothesis of the study was accepted. These findings suggested that individuals with high GRSBM of the 6 genes in the model should avoid diets in high energy and low in calcium (<500 mg/day) to protect against T2DM.

摘要

亚洲人在胰岛素抵抗状态下容易患上 2 型糖尿病(T2DM),因为他们的葡萄糖刺激胰岛素分泌(GSIS)不足。由于这可能与遗传背景有关,本研究的假设是,基因间和基因-营养相互作用可以解释亚洲人胰岛素分泌能力低的原因。因此,我们使用广义多因子降维(GMDR)方法在一个大型韩国队列(n=8842)中鉴定了最佳的基因-基因和基因-营养相互作用。最初,我们使用了 105 个与 GSIS 相关的遗传变异来使用 GMDR 方法确定最佳的基因-基因相互作用模型。最佳模型包括六个 SNP,FNBP1L-rs4847428、FNBP1L-rs23766、GLIS3-rs2027393、GLIS3-rs3892354、GLIS3-rs486163 和 DLC1-rs17093957。对于每个个体,我们根据最佳模型(GRSBM)获得遗传风险评分,以预测 GSIS 水平。GRSBM 分为低、中、高三组,并使用逻辑回归测量 GRSBM 与 T2DM 之间的关联。我们分析了 GRSBM 与营养摄入之间的相互作用。与低评分组相比,高分组的 T2DM 风险调整后的优势比增加了 1.701 倍。高分组的胰岛素分泌能力指数(HOMA-B)明显低于低分组,而胰岛素抵抗指数则明显低于低分组。与低评分组相比,在能量摄入较高和钙摄入较低的人群中,GRSBM 与 T2DM 风险之间的关联更大,而在能量摄入较低和钙摄入较高的人群中,这种关联则较小。与低评分组相比,由于 GSIS 较低,高分组尤其容易发生 T2DM ,特别是在能量摄入较高的人群中。总之,研究假设得到了验证。这些发现表明,模型中 6 个基因的 GRSBM 较高的个体应避免高能量和低钙(<500mg/天)的饮食,以预防 T2DM。

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