Department of Internal Medicine, Touchstone Center for Diabetes Research, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Proc Natl Acad Sci U S A. 2010 Sep 14;107(37):16009-12. doi: 10.1073/pnas.1006639107. Epub 2010 Aug 26.
New results have brought to light the importance of the regulation of glucagon by β-cells in the development of diabetes. In this perspective, we examine the normal paracrinology of α- and β-cells in nondiabetic pancreatic islets. We propose a Sherringtonian model of coordinated reciprocal secretory responses of these juxtaposed cells that secrete glucagon and insulin, hormones with opposing actions on the liver. As insulin is a powerful inhibitor of glucagon, we propose that within-islet inhibition of α-cells by β-cells creates an insulin-to-glucagon ratio that maintains glycemic stability even in extremes of glucose influx or efflux. By contrast, in type 1 diabetes mellitus, α-cells lack constant action of high insulin levels from juxtaposed β-cells. Replacement with exogenous insulin does not approach paracrine levels of secreted insulin except with high doses that "overinsulinize" the peripheral insulin targets, thereby promoting glycemic volatility. Based on the stable normoglycemia of mice with type 1 diabetes during suppression of glucagon with leptin, we conclude that, in the absence of paracrine regulation of α-cells, tonic inhibition of α-cells improves the dysregulated glucose homeostasis. These results have considerable medical implications, as they suggest new approaches to normalize the extreme volatility of glycemia in diabetic patients.
新的研究结果揭示了β细胞调节胰高血糖素在糖尿病发生发展中的重要性。从这个角度出发,我们研究了非糖尿病胰岛中α细胞和β细胞的正常旁分泌学。我们提出了一个关于这些毗邻细胞分泌胰高血糖素和胰岛素的协调相互分泌反应的谢灵顿模型,这两种激素对肝脏的作用相反。由于胰岛素是胰高血糖素强有力的抑制剂,我们提出β细胞对α细胞的胰岛内抑制作用产生了一种胰岛素与胰高血糖素的比值,即使在葡萄糖流入或流出的极端情况下也能维持血糖稳定。相比之下,在 1 型糖尿病中,α细胞缺乏来自毗邻β细胞的高胰岛素水平的持续作用。用外源性胰岛素替代不能达到旁分泌水平的胰岛素分泌,除非使用高剂量的胰岛素“过度胰岛素化”外周胰岛素靶标,从而促进血糖波动。基于肥胖症小鼠在使用瘦素抑制胰高血糖素时 1 型糖尿病的稳定正常血糖,我们得出结论,在缺乏α细胞旁分泌调节的情况下,α细胞的紧张性抑制改善了失调的葡萄糖稳态。这些结果具有重要的医学意义,因为它们提示了新的方法可以使糖尿病患者血糖的极端波动性正常化。