Insulin receptor isoform A ameliorates long-term glucose intolerance in diabetic mice.
Sabela Diaz-CastroverdeAlmudena Gómez-HernándezSilvia FernándezGema García-GómezMarianna Di ScalaGloria González-AseguinolazaElisa Fernández-MillánÁgueda González-RodríguezMaría García-BravoPierre ChambonCarmen ÁlvarezLiliana PerdomoNuria BeneitOscar EscribanoManuel BenitoPublished in: Disease models & mechanisms (2016)
Type 2 diabetes mellitus is a complex metabolic disease and its pathogenesis involves abnormalities in both peripheral insulin action and insulin secretion. Previous in vitro data showed that insulin receptor isoform A, but not B, favours basal glucose uptake through its specific association with endogenous GLUT1/2 in murine hepatocytes and beta cells. With this background, we hypothesized that hepatic expression of insulin receptor isoform A in a mouse model of type 2 diabetes could potentially increase the glucose uptake of these cells, decreasing the hyperglycaemia and therefore ameliorating the diabetic phenotype. To assure this hypothesis, we have developed recombinant adeno-associated viral vectors expressing insulin receptor isoform A (IRA) or isoform B (IRB) under the control of a hepatocyte--specific promoter. Our results demonstrate that in the long term, hepatic expression of IRA in diabetic mice is more efficient than IRB in ameliorating glucose intolerance. Consequently, it impairs the induction of compensatory mechanisms through beta cell hyperplasia and/or hypertrophy that finally lead to beta cell failure, reverting the diabetic phenotype in about 8 weeks. Our data suggest that long-term hepatic expression of IRA could be a promising therapeutic approach for the treatment of type 2 diabetes mellitus.
Keyphrases
- type diabetes
- glycemic control
- blood glucose
- poor prognosis
- induced apoptosis
- binding protein
- mouse model
- single cell
- cell cycle arrest
- cell therapy
- dna methylation
- electronic health record
- gene expression
- stem cells
- long non coding rna
- blood pressure
- oxidative stress
- big data
- endoplasmic reticulum stress
- adipose tissue
- weight loss