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Computational Modeling of Glucose Transport in Pancreatic β-Cells Identifies Metabolic Thresholds and Therapeutic Targets in Diabetes

Overview of attention for article published in PLOS ONE, December 2012
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Title
Computational Modeling of Glucose Transport in Pancreatic β-Cells Identifies Metabolic Thresholds and Therapeutic Targets in Diabetes
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0053130
Pubmed ID
Authors

Camilla Luni, Jamey D. Marth, Francis J. Doyle

Abstract

Pancreatic β-cell dysfunction is a diagnostic criterion of Type 2 diabetes and includes defects in glucose transport and insulin secretion. In healthy individuals, β-cells maintain plasma glucose concentrations within a narrow range in concert with insulin action among multiple tissues. Postprandial elevations in blood glucose facilitate glucose uptake into β-cells by diffusion through glucose transporters residing at the plasma membrane. Glucose transport is essential for glycolysis and glucose-stimulated insulin secretion. In human Type 2 diabetes and in the mouse model of obesity-associated diabetes, a marked deficiency of β-cell glucose transporters and glucose uptake occurs with the loss of glucose-stimulated insulin secretion. Recent studies have shown that the preservation of glucose transport in β-cells maintains normal insulin secretion and blocks the development of obesity-associated diabetes. To further elucidate the underlying mechanisms, we have constructed a computational model of human β-cell glucose transport in health and in Type 2 diabetes, and present a systems analysis based on experimental results from human and animal studies. Our findings identify a metabolic threshold or "tipping point" whereby diminished glucose transport across the plasma membrane of β-cells limits intracellular glucose-6-phosphate production by glucokinase. This metabolic threshold is crossed in Type 2 diabetes and results in β-cell dysfunction including the loss of glucose stimulated insulin secretion. Our model further discriminates among molecular control points in this pathway wherein maximal therapeutic intervention is achieved.

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Geographical breakdown

Country Count As %
France 2 3%
Mexico 1 1%
Russia 1 1%
Switzerland 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 16 24%
Student > Postgraduate 6 9%
Other 5 7%
Professor > Associate Professor 4 6%
Other 10 15%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 22%
Biochemistry, Genetics and Molecular Biology 12 18%
Engineering 11 16%
Chemistry 5 7%
Medicine and Dentistry 5 7%
Other 7 10%
Unknown 13 19%