Associations between insulin-like growth factor-I (IGF-I), IGF-binding protein-1, insulin and other metabolic measures after controlling for genetic influences: Results from middle-aged and elderly monozygotic twins
Associations between insulin-like growth factor-I (IGF-I), IGF-binding protein-1, insulin and other metabolic measures after controlling for genetic influences: Results from middle-aged and elderly monozygotic twins
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DOI：
10.1677/joe.0.1530251
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发表时间：
1997-05-01
影响因子：
4
通讯作者：
deFaire, U
中科院分区：
文献类型：
--
作者：
Hong, Y;Brismar, K;deFaire, U
先前已经表明，胰岛素样生长因子-I（IGF-I）、胰岛素样生长因子结合蛋白-1（IGFBP-1）和胰岛素的血清水平在不同程度上受到遗传效应的影响。然而，从临床和预防的角度来看，重要的是要确定影响这些措施水平的潜在可改变的非遗传因素。由于同卵双生子具有相同的遗传背景，因此同卵双生子表型水平的差异被认为是由于非遗传影响。因此，一种表型的配对内差异与另一种表型的配对内差异之间的关联也是由于非遗传影响。目前的样本97对单卵双胞胎从人口为基础的瑞典收养/双胞胎老龄化研究（SATSA）提供了机会，以评估非遗传因素对IGF-I，IGFBP-1和胰岛素水平的影响。在控制了遗传影响后，发现几种代谢措施可以解释IGF-I，IGFBP-1和胰岛素的变化。IGFBP-1和血糖是IGF-I水平的重要预测因子。IGFBP-1和葡萄糖共同解释了约四分之一的IGF-I非遗传变异。然而，当IGFBP-1从回归模型中删除时，胰岛素是IGF-I的唯一独立预测因子，并解释了约19%的IGF-I非遗传变异。对于IGFBP-1，胰岛素和IGF-I是显著的非遗传预测因子。胰岛素和IGF-I分别解释了IGFBP-1非遗传变异的28%和8%，而胰岛素、TGF-1、甘油三酯、身高、血糖和体重指数（BMI）分别解释了铁遗传变异的20%、12%、6%、5%和5%。
It has previously been shown that the serum levels of insulin-like growth factor-I (IGF-I), IGF-binding protein-1 (IGFBP-1), and insulin are influenced by genetic effects to various degrees. From a clinical and preventive point of view, however, it is important to identify potentially modifiable non-genetic factors influencing the levels of these measures. Because monozygotic twin pairs share the same genetic background, differences in phenotypic levels within monozygotic twin pairs are believed to be due to non-genetic influences. Accordingly, the associations between intrapair differences in one phenotype and intrapair differences in another phenotype are also due to non-genetic influences. The present sample of 97 pairs of monozygotic twins from the population-based Swedish Adoption/Twin Study of Aging (SATSA) provided the opportunity to assess non-genetic influences on the levels of IGF-I, IGFBP-1, and insulin. Several metabolic measures were found to account for the variation of IGF-I, IGFBP-1, and insulin after controlling for the genetic influences. IGFBP-1 and glucose were significant predictors for the levels of IGF-I. IGFBP-1 and glucose together explained about one quarter of the non-genetic variation of IGF-I. However, when IGFBP-1 was dropped from the regression model, insulin was the only independent predictor of IGF-I, and explained about 19% of the non-genetic variation for IGF-I. For IGFBP-1, insulin and IGF-I were the significant non-genetic predictors. Insulin and IGF-I explained about 28 and 8% respectively of the non-genetic variation for IGFBP-1, while for insulin, TGF-I, triglycerides, body height, glucose, and body mass index (BMI) explained approximately 20, 12, 6, 5 and 5% respectively of the Iron-genetic variation.