[HTML][HTML] Molecular phenotyping of multiple mouse strains under metabolic challenge uncovers a role for Elovl2 in glucose-induced insulin secretion
C Cruciani-Guglielmacci, L Bellini, J Denom… - Molecular …, 2017 - Elsevier
C Cruciani-Guglielmacci, L Bellini, J Denom, M Oshima, N Fernandez, P Normandie-Levi…
Molecular metabolism, 2017•ElsevierObjective In type 2 diabetes (T2D), pancreatic β cells become progressively dysfunctional,
leading to a decline in insulin secretion over time. In this study, we aimed to identify key
genes involved in pancreatic beta cell dysfunction by analyzing multiple mouse strains in
parallel under metabolic stress. Methods Male mice from six commonly used non-diabetic
mouse strains were fed a high fat or regular chow diet for three months. Pancreatic islets
were extracted and phenotypic measurements were recorded at 2 days, 10 days, 30 days …
leading to a decline in insulin secretion over time. In this study, we aimed to identify key
genes involved in pancreatic beta cell dysfunction by analyzing multiple mouse strains in
parallel under metabolic stress. Methods Male mice from six commonly used non-diabetic
mouse strains were fed a high fat or regular chow diet for three months. Pancreatic islets
were extracted and phenotypic measurements were recorded at 2 days, 10 days, 30 days …
Objective
In type 2 diabetes (T2D), pancreatic β cells become progressively dysfunctional, leading to a decline in insulin secretion over time. In this study, we aimed to identify key genes involved in pancreatic beta cell dysfunction by analyzing multiple mouse strains in parallel under metabolic stress.
Methods
Male mice from six commonly used non-diabetic mouse strains were fed a high fat or regular chow diet for three months. Pancreatic islets were extracted and phenotypic measurements were recorded at 2 days, 10 days, 30 days, and 90 days to assess diabetes progression. RNA-Seq was performed on islet tissue at each time-point and integrated with the phenotypic data in a network-based analysis.
Results
A module of co-expressed genes was selected for further investigation as it showed the strongest correlation to insulin secretion and oral glucose tolerance phenotypes. One of the predicted network hub genes was Elovl2, encoding Elongase of very long chain fatty acids 2. Elovl2 silencing decreased glucose-stimulated insulin secretion in mouse and human β cell lines.
Conclusion
Our results suggest a role for Elovl2 in ensuring normal insulin secretory responses to glucose. Moreover, the large comprehensive dataset and integrative network-based approach provides a new resource to dissect the molecular etiology of β cell failure under metabolic stress.
Elsevier