Perilipin gene variation determines higher susceptibility to insulin resistance in Asian women when consuming a high-saturated fat, low-carbohydrate diet
Perilipin gene variation determines higher susceptibility to insulin resistance in Asian women when consuming a high-saturated fat, low-carbohydrate diet
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DOI：
10.2337/dc06-0045
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发表时间：
2006-06-01
期刊：
影响因子：
16.2
通讯作者：
Ordovas, Jose M.
中科院分区：
文献类型：
--
作者：
Corella, Dolores;Qi, Lu;Ordovas, Jose M.
目的-调查的脂肪细胞蛋白perilipin（PLIN）和胰岛素抵抗在亚洲人群的遗传变异之间的关联，以及检查他们的调制宏量营养素intake.RESEARCH设计和方法-一个全国代表性的样本（中国，马来人，印度人）被选中在新加坡全国健康调查后，世界卫生组织推荐的模型糖尿病实地调查。共有1，909名男性和2，198名女性（年龄在18-69岁之间）接受了研究。获得遗传（PLIN 11482 G-> A和14995 A-> T）、生活方式、临床和生化数据。采用胰岛素抵抗稳态模型（HOMA-IR）评价胰岛素抵抗。饮食是衡量每两个subjects. Results-we没有发现一个显着的基因型之间的差异，胰岛素抵抗措施之一的验证食物频率问卷。然而，在女性中，我们发现了具有统计学意义的基因-饮食相互作用，PLIN 11482 G-> A/14995 A-> T多态性之间的隐性模型（在高连锁不平衡）和饱和脂肪酸（SFAs; P = 0.003/0.005）和碳水化合物（P = 0.004/0.012）。这些相互作用方向相反，考虑到标签多态性，11482 G-> A更显著。因此，最高SFA三分位数（11.8-19%）的女性只有在PLIN次要等位基因纯合子时，其HOMA-IR（增加48%; P趋势= 0.006）才高于最低SFA三分位数（3.1-9.4%）的女性。相反，随着碳水化合物摄入量的增加，HOMA-IR降低（-24%; P趋势= 0.046）。当SFA和碳水化合物以SFA与碳水化合物的比例组合时，这些效果更强。结论- PLIN 11482 G-> A/14995 A-> T多态性调节亚洲女性中SFAs/碳水化合物饮食与胰岛素抵抗之间的关联。
OBJECTIVE - To investigate the association between genetic variation in the adipocyte protein perilipin (PLIN) and insulin resistance in an Asian population as well as to examine their modulation by macronutrient intake.RESEARCH DESIGN AND METHODS - A nationally representative sample (Chinese, Malays, and Indians) was selected in the Singapore National Health Survey following the World Health Organization-recommended model for field surveys of diabetes. A total of 1,909 men and 2,198 women (aged 18-69 years) were studied. Genetic (PLIN 11482G -> A and 14995A -> T), lifestyle, clinical, and biochemical data were obtained. Homeostasis model assessment of insulin resistance (HOMA-IR) was used to evaluate insulin resistance. Diet was measured by a validated food frequency questionnaire in one of every two subjects.RESULTS - We did not find a significant between-genotype difference in insulin resistance measures. However, in women we found statistically significant gene-diet interactions (recessive model) between PLIN 11482G -> A/14995A -> T polymorphisms (in high linkage disequilibrium) and saturated fatty acids (SFAs; P = 0.003/0.005) and carbohydrate (P = 0.004/0.012) in determining HOMA-IR. These interactions were in opposite directions and were more significant for 11482G -> A, considered the tag polymorphism. Thus, women in the highest SFA tertile (11.8-19%) had higher HOMA-IR (48% increase; P trend = 0.006) than women in the lowest (3.1-9.4%) only if they were homozygotes for the PLIN minor allele. Conversely, HOMA-IR decreased (-24%; P trend = 0.046) as carbohydrate intake increased. These effects were stronger when SFAs and carbohydrate were combined as an SFA-to-carbohydrate ratio. Moreover, this gene-diet interaction was homogeneously found across the three ethnic groups.CONCLUSIONS - PLIN 11482G -> A/14995A -> T polymorphisms modulate the association between SFAs/carbohydrate in diet and insulin resistance in Asian women.