Transcriptomics

Dataset Information

0

Effects of sodium tungstate administration in Irs2 -/- mice


ABSTRACT: Relative beta cell deficit and increased beta cell apoptosis are hallmarks of type 2 diabetes (T2D). The Insulin/Insulin Growth Factor (Igf) signaling pathway is an established regulator of beta cell survival and is found downregulated in human T2D islets. The Insulin Receptor Substrate 2 (Irs2) plays a central role in the coordination of this pathway in beta cells. Thus, Irs2 knockout mice (Irs2 -/-) exhibit increased beta cell apoptosis that leads to a progressive decline of beta cell mass and hyperglycaemia. In this study, we sought to determine whether the anti-diabetic compound sodium tungstate could prevent the onset of diabetes in Irs2 -/- mice. Oral administration of tungstate resulted in an overall improvement in whole-body glucose tolerance in Irs2 -/- mice which correlated with increased beta cell mass. Enhanced beta cell mass was due to a dramatic reduction of beta cell apoptosis without changes in proliferation. Whole genome gene profiling analysis of islets isolated from treated Irs2 -/- mice confirmed a broad impact of tungstate on cell death pathways. Mechanistically, tungstate induced Erk1/2 phosphorylation in islets in vitro and, in agreement, treated Irs2 -/- islets exhibited increased basal Erk1/2 phosphorylation. Tungstate also downregulated expression of apoptosis-related genes in Irs2-/- islets in vitro, uncovering a direct effect of this compound in islets. All together, our data demonstrate that tungstate can restore beta cell mass and glucose homeostasis in a context of deficient Insulin/Igf signaling. This study underscores the importance of developing strategies specifically designed to arrest beta cell apoptosis as a means to prevent progressive beta cell failure in diabetes.

ORGANISM(S): Mus musculus

PROVIDER: GSE43620 | GEO | 2014/01/19

SECONDARY ACCESSION(S): PRJNA186844

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2014-01-19 | E-GEOD-43620 | biostudies-arrayexpress
2012-01-16 | E-GEOD-33647 | biostudies-arrayexpress
2023-07-31 | GSE235129 | GEO
2017-12-22 | GSE81811 | GEO
2013-01-02 | E-GEOD-43238 | biostudies-arrayexpress
2021-11-11 | GSE98887 | GEO
2021-11-11 | GSE137766 | GEO
2021-11-11 | GSE136887 | GEO
2022-04-09 | GSE200531 | GEO
2024-12-02 | GSE280267 | GEO