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Kinetic modelling of β-cell metabolism reveals control points in the insulin-regulating pyruvate cycling pathways.

Authors :
Rahul R
Stinchcombe AR
Joseph JW
Ingalls B
Source :
IET systems biology [IET Syst Biol] 2023 Dec; Vol. 17 (6), pp. 303-315. Date of Electronic Publication: 2023 Nov 08.
Publication Year :
2023

Abstract

Insulin, a key hormone in the regulation of glucose homoeostasis, is secreted by pancreatic β-cells in response to elevated glucose levels. Insulin is released in a biphasic manner in response to glucose metabolism in β-cells. The first phase of insulin secretion is triggered by an increase in the ATP:ADP ratio; the second phase occurs in response to both a rise in ATP:ADP and other key metabolic signals, including a rise in the NADPH:NADP <superscript>+</superscript> ratio. Experimental evidence indicates that pyruvate-cycling pathways play an important role in the elevation of the NADPH:NADP <superscript>+</superscript> ratio in response to glucose. The authors developed a kinetic model for the tricarboxylic acid cycle and pyruvate cycling pathways. The authors successfully validated the model against experimental observations and performed a sensitivity analysis to identify key regulatory interactions in the system. The model predicts that the dicarboxylate carrier and the pyruvate transporter are the most important regulators of pyruvate cycling and NADPH production. In contrast, the analysis showed that variation in the pyruvate carboxylase flux was compensated by a response in the activity of mitochondrial isocitrate dehydrogenase (ICD <subscript>m</subscript> ) resulting in minimal effect on overall pyruvate cycling flux. The model predictions suggest starting points for further experimental investigation, as well as potential drug targets for the treatment of type 2 diabetes.<br /> (© 2023 The Authors. IET Systems Biology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.)

Details

Language :
English
ISSN :
1751-8857
Volume :
17
Issue :
6
Database :
MEDLINE
Journal :
IET systems biology
Publication Type :
Academic Journal
Accession number :
37938890
Full Text :
https://doi.org/10.1049/syb2.12077