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Vitamin D Receptor overexpression in β-cells ameliorates diabetes in mice.

维生素 D 受体在 β 细胞中的过表达可改善小鼠糖尿病。

  • 影响因子:5.64
  • DOI:10.2337/db19-0757
  • 作者列表:"Morró M","Vilà L","Franckhauser S","Mallol C","Elias G","Ferré T","Molas M","Casana E","Rodó J","Pujol A","Téllez N","Bosch F","Casellas A
  • 发表时间:2020-02-21
Abstract

:Vitamin D deficiency has been associated with increased incidence of diabetes, both in humans and animal models. In addition, association between vitamin D receptor (VDR) gene polymorphisms and diabetes has also been described. However, the involvement of VDR in the development of diabetes, specifically in pancreatic β-cell, has not been elucidated yet. Here we aimed to study the role of VDR in β-cell in the pathophysiology of diabetes. Our results indicate that Vdr expression was modulated by glucose in healthy islets and decreased in islets from both T1D and T2D mouse models. In addition, transgenic mice overexpressing VDR in β-cell were protected against STZ-induced diabetes, and presented a preserved β-cell mass and a reduction in islet inflammation. Altogether, these results suggest that sustained VDR levels in β-cells may preserve β-cell mass and β-cell function and protect against diabetes.

摘要

在人类和动物模型中,维生素d 缺乏与糖尿病发病率增加有关。此外,维生素d 受体 (VDR) 基因多态性与糖尿病之间的关联也被描述。然而,VDR 参与糖尿病的发展,特别是在胰腺 β 细胞中,尚未阐明。在此,我们旨在研究 β 细胞中 VDR 在糖尿病病理生理学中的作用。我们的结果表明,在健康胰岛中,Vdr 表达受葡萄糖调节,在 T1D 和 T2D 小鼠模型的胰岛中表达减少。此外,β 细胞中过表达 VDR 的转基因小鼠对 STZ 诱导的糖尿病有保护作用,并呈现保留的 β 细胞团和胰岛炎症的减少。总之,这些结果表明,β 细胞中持续的 VDR 水平可以保留 β 细胞质量和 β 细胞功能,并预防糖尿病。

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影响因子:2.86
发表时间:2020-01-08
来源期刊:Acta Diabetologica
DOI:10.1007/s00592-019-01469-5
作者列表:["Benhalima, Katrien","Crombrugge, Paul","Moyson, Carolien","Verhaeghe, Johan","Vandeginste, Sofie","Verlaenen, Hilde","Vercammen, Chris","Maes, Toon","Dufraimont, Els","Block, Christophe","Jacquemyn, Yves","Mekahli, Farah","Clippel, Katrien","Den Bruel, Annick","Loccufier, Anne","Laenen, Annouschka","Minschart, Caro","Devlieger, Roland","Mathieu, Chantal"]

METHODS:Aims We aimed to develop a prediction model based on clinical and biochemical variables for gestational diabetes mellitus (GDM) based on the 2013 World Health Organization (WHO) criteria. Methods A total of 1843 women from a Belgian multi-centric prospective cohort study underwent universal screening for GDM. Using multivariable logistic regression analysis, a model to predict GDM was developed based on variables from early pregnancy. The performance of the model was assessed by receiver-operating characteristic (AUC) analysis. To account for over-optimism, an eightfold cross-validation was performed. The accuracy was compared with two validated models (van Leeuwen and Teede). Results A history with a first degree relative with diabetes, a history of smoking before pregnancy, a history of GDM, Asian origin, age, height and BMI were independent predictors for GDM with an AUC of 0.72 [95% confidence interval (CI) 0.69–0.76)]; after cross-validation, the AUC was 0.68 (95% CI 0.64–0.72). Adding biochemical variables, a history of a first degree relative with diabetes, a history of GDM, non-Caucasian origin, age, height, weight, fasting plasma glucose, triglycerides and HbA_1c were independent predictors for GDM, with an AUC of the model of 0.76 (95% CI 0.72–0.79); after cross-validation, the AUC was 0.72 (95% CI 0.66–0.78), compared to an AUC of 0.67 (95% CI 0.63–0.71) using the van Leeuwen model and an AUC of 0.66 (95% CI 0.62–0.70) using the Teede model. Conclusions A model based on easy to use variables in early pregnancy has a moderate accuracy to predict GDM based on the 2013 WHO criteria.

关键词: 暂无
翻译标题与摘要 下载文献
影响因子:19.14
发表时间:2020-01-01
来源期刊:Nature Medicine
DOI:10.1038/s41591-019-0724-8
作者列表:["Artzi, Nitzan Shalom","Shilo, Smadar","Hadar, Eran","Rossman, Hagai","Barbash-Hazan, Shiri","Ben-Haroush, Avi","Balicer, Ran D.","Feldman, Becca","Wiznitzer, Arnon","Segal, Eran"]

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关键词: 暂无
翻译标题与摘要 下载文献
影响因子:4.34
发表时间:2020-01-27
DOI:10.1128/AAC.01777-19
作者列表:["Lowes DJ","Hevener KE","Peters BM"]

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