Relationships of iron metabolism with insulin resistance and glucose levels in young and healthy adults
Relationships of iron metabolism with insulin resistance and glucose levels in young and healthy adults
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DOI：
10.1016/j.ejim.2016.03.017
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发表时间：
2016-07-01
影响因子：
8
通讯作者：
Conen, David
中科院分区：
文献类型：
--
作者：
Krisai, Philipp;Leib, Stefanie;Conen, David
目的：铁代谢途径中的几种生物标志物与糖尿病的发生有关，但其潜在机制尚不清楚。我们的研究的目的是调查的差异关系铁代谢与广泛的糖尿病标志物在年轻人和健康adultes.Design：2160名参与者年龄在25至41岁，参加了一项以人口为基础的研究。排除标准为心血管疾病、糖尿病或体重指数>35 kg/m2。建立多变量线性回归模型以评估铁蛋白和转铁蛋白饱和度（TSAT）与血糖素样肽-1（GLP-1）、胰岛素水平、稳态模型评估胰岛素抵抗（HOMA-IR）、空腹血糖（FPG）和血红蛋白A1 c（HbA 1c）的关系。在多变量线性回归分析中，β系数铁蛋白每增加1-SD（95%置信区间）为0.04（0.02; 0.07，p = 0.0008）GLP-1，0.06（0.04; 0.08，p < 0.0001）胰岛素，0.07（0.04; 0.09，p < 0.0001），FPG为0.004（-0.00; 0.01，p = 0.07），HbA 1c为-0.003（-0.01;-0.00，p = 0.07）。TSAT每增加1-SD的β系数（95% CI）为-0.07 GLP-1（-0.09;-0.05，p < 0.0001），-0.06（-0.08;-0.04，p < 0.0001）胰岛素，-0.07（-0.09;-0.05，p < 0.0001）HOMA-IR，-0.01 FPG（-0.01;-0.00，p < 0.0001）和-0.01（-0.01;-0.00，p = 0.0004）。结论：健康人胰岛素抵抗指标与铁代谢指标密切相关。这些关系不一致，短期和长期葡萄糖水平较弱。这些结果可能为铁代谢与糖尿病发生之间的关系提供见解。(C)2016年欧洲内科联盟。Elsevier B. V.出版，保留所有权利。
Aims: Several biomarkers within the iron metabolism pathway have been related to the occurrence of diabetes mellitus, but underlying mechanisms are unknown. The aim of our study was to investigate the differential relationships of iron metabolism with a broad range of diabetes markers in young and healthy adults.Design: 2160 participants aged 25 to 41 years were enrolled in a population-based study. Established cardiovascular disease, diabetes or a body mass index >35 kg/m(2) were exclusion criteria. Multivariable linear regression models were built to assess the associations of ferritin and transferrin saturation (TSAT) with blood levels of glucagon-like peptide-1 (GLP-1), insulin, homeostatic model assessment-insulin resistance (HOMA-IR), fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c).Results: Median (interquartile range) age was 37 (31, 40) years. In multivariable linear regression analyses, beta-coefficients (95% confidence intervals) per 1-SD increase in ferritin were 0.04 (0.02; 0.07, p = 0.0008) for GLP-1, 0.06 (0.04; 0.08, p < 0.0001) for insulin, 0.07 (0.04; 0.09, p < 0.0001) for HOMA-IR, 0.004 (-0.00; 0.01, p = 0.07) for FPG and -0.003 (-0.01; -0.00, p = 0.07) for HbA1c. beta-coefficients (95% CI) per 1-SD increase in TSAT were -0.07 (-0.09; -0.05, p < 0.0001) for GLP-1, -0.06 (-0.08; -0.04, p < 0.0001) for insulin, -0.07(-0.09; -0.05, p < 0.0001) for HOMA-IR, -0.01 (-0.01; -0.00, p < 0.0001) for FPG and -0.01 (-0.01; -0.00, p = 0.0004) for HbA1c.Conclusions: Markers of insulin resistance are strongly related with markers of iron metabolism in healthy subjects. These relationships were inconsistent and weaker for short-term and long-term glucose levels. These results may provide insights in the relationships between iron metabolism and diabetes occurrence. (C) 2016 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.