Glucagon suppression and diabetes-associated variation in TCF7L2

Project: Research project

Project Details


The overall aim of this application is to better understand the role of impaired glucagon suppression in the mechanisms that lead to diabetes. Of the various common genetic variants associated with type 2 diabetes that in TCF7L2, has the strongest effect on disease predisposition and might provide insight into various diverse mechanisms that drive the progression of prediabetes to diabetes. We have discovered an effect of diabetes-associated variation in TCF7L2 on glucagon suppression. The product of this locus is an important constituent of the wnt-signaling cascade that was originally shown to regulate proglucagon gene expression. In addition, ?-cell function as quantified by the Disposition Index (DI) is also impaired. We propose to examine the temporal relationship of the effects of this locus on ?-cell and on ?-cell function in people with normal glucose tolerance or prediabetes to help examine if impaired glucagon suppression contributes to an increased rate of ?-cell dysfunction or if the two processes develop independently. Since ?-cell dysfunction has previously been overlooked in the pathogenesis of prediabetes, we will harness the Mayo Autopsy resource to examine islet morphology in humans with and without diabetes-associated variation at this locus. Our preliminary data suggests that ?-cell size and glucagon expression is increased in subjects with the T-allele at rs7903146 in the TCF7L2 locus. Finally we hope to improve the ability of the oral minimal model ? the gold standard used to measure ?-cell function in vivo ? to measure glucose homeostasis by incorporating a component that describes glucagon secretion and action. This will help elucidate the mechanism by which TCF7L2 leads to type 2 diabetes in humans but will also provide insights into the role of glucagon in the pathogenesis of prediabetes and progression to diabetes.
StatusNot started


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.