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Metabolic Programming of MEST DNA Methylation by Intrauterine Exposure to Gestational Diabetes Mellitus

机译:宫内暴露于妊娠糖尿病的MEST DNA甲基化代谢程序设计

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摘要

Epigenetic processes are primary candidates when searching for mechanisms that can stably modulate gene expression and metabolic pathways according to early life conditions. To test the effects of gestational diabetes mellitus (GDM) on the epigenome of the next generation, cord blood and placenta tissue were obtained from 88 newborns of mothers with dietetically treated GDM, 98 with insulin-dependent GDM, and 65 without GDM. Bisulfite pyrosequencing was used to compare the methylation levels of seven imprinted genes involved in prenatal and postnatal growth, four genes involved in energy metabolism, one anti-inflammatory gene, one tumor suppressor gene, one pluripotency gene, and two repetitive DNA families. The maternally imprinted MEST gene, the nonimprinted glucocorticoid receptor NR3C1 gene, and interspersed ALU repeats showed significantly decreased methylation levels (4-7 percentage points for MEST, 1-2 for NR3C1, and one for ALUs) in both GDM groups, compared with controls, in both analyzed tissues. Significantly decreased blood MEST methylation (3 percentage points) also was observed in adults with morbid obesity compared with normal-weight controls. Our results support the idea that intrauterine exposure to GDM has long-lasting effects on the epigenome of the offspring. Specifically, epigenetic malprogramming of MEST may contribute to obesity predisposition throughout life.
机译:当寻找可以根据早期生活状况稳定调节基因表达和代谢途径的机制时,表观遗传过程是主要的候选对象。为了测试妊娠糖尿病(GDM)对下一代表观基因组的影响,从88位接受过饮食治疗的GDM的母亲,98位接受胰岛素依赖的GDM的母亲和65位不接受GDM的母亲中获得脐带血和胎盘组织。亚硫酸氢盐焦磷酸测序用于比较七个与产前和产后生长有关的印迹基因,四个与能量代谢有关的基因,一个抗炎基因,一个抑癌基因,一个多能性基因和两个重复的DNA家族的甲基化水平。与对照组相比,两个GDM组的母亲印记的MEST基因,非印记的糖皮质激素受体NR3C1基因和散布的ALU重复序列均显示甲基化水平显着降低(MEST为4-7个百分点,NR3C1为1-2个百分点,ALU为一个百分点) ,在两个被分析的组织中。与正常体重对照组相比,病态肥胖成年人的血液中MEST甲基化水平也显着降低(3个百分点)。我们的结果支持以下观点:宫内暴露于GDM对后代的表观基因组具有长期影响。具体而言,MEST的表观遗传错误编程可能会导致一生中的肥胖易感性。

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  • 来源
    《Diabetes》 |2013年第4期|1320-1328;|共9页
  • 作者单位

    Institute of Human Genetics, Julius Maximilians University, Wuerz-burg, Germany;

    Institute of Human Genetics, Julius Maximilians University, Wuerz-burg, Germany;

    Institute of Human Genetics, Julius Maximilians University, Wuerz-burg, Germany;

    Department of Bioinformatics, Julius Maximilians Univer-sity, Wuerzburg, Germany;

    Department of Bioinformatics, Julius Maximilians Univer-sity, Wuerzburg, Germany;

    Teaching Hospital, Klinikum Werra-Meissner, Eschwege, Germany;

    Department of Gynecology and Obstetrics, Mu-nicipal Clinics, Moenchengladbach, Germany;

    Institute of Human Genetics, University Medical Center, Mainz, Germany.;

    Department of Gynecology and Obstetrics, Mu-nicipal Clinics, Moenchengladbach, Germany;

    Institute of Human Genetics, Julius Maximilians University, Wuerz-burg, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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