Queueing theory model of mTOR complexes' impact on Akt-mediated adipocytes response to insulin

A queueing theory based model of mTOR complexes impact on Akt-mediated cell response to insulin is presented in this paper. The model includes several aspects including the effect of insulin on the transport of glucose from the blood into the adipocytes with the participation of GLUT4, and the role...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2022-12, Vol.17 (12), p.e0279573
Main Authors: Kloska, Sylwester M, Pałczyński, Krzysztof, Marciniak, Tomasz, Talaśka, Tomasz, Miller, Marissa, Wysocki, Beata J, Davis, Paul H, Soliman, Ghada A, Wysocki, Tadeusz A
Format: Article
Language:English
Subjects:
Adipocytes
Adipocytes - metabolism
AKT protein
Biology and Life Sciences
Cell growth
Chromosomes
Complications and side effects
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - drug therapy
Diabetes Mellitus, Type 2 - metabolism
Enzymes
Genetic algorithms
Glucose
Glucose - metabolism
Glucose transport
Glucose Transporter Type 4 - metabolism
Glyceraldehyde-3-phosphate dehydrogenase
Health aspects
Humans
Insulin
Insulin - metabolism
Insulin, Regular, Human - metabolism
Kinases
Mammals
Mechanistic Target of Rapamycin Complex 1 - metabolism
Medicine and Health Sciences
Metabolism
Modelling
Ordinary differential equations
Patient outcomes
Physical Sciences
Proteins
Proto-Oncogene Proteins c-akt - metabolism
Queuing theory
Rapamycin
Simulation
TOR protein
TOR Serine-Threonine Kinases - metabolism
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A queueing theory based model of mTOR complexes impact on Akt-mediated cell response to insulin is presented in this paper. The model includes several aspects including the effect of insulin on the transport of glucose from the blood into the adipocytes with the participation of GLUT4, and the role of the GAPDH enzyme as a regulator of mTORC1 activity. A genetic algorithm was used to optimize the model parameters. It can be observed that mTORC1 activity is related to the amount of GLUT4 involved in glucose transport. The results show the relationship between the amount of GAPDH in the cell and mTORC1 activity. Moreover, obtained results suggest that mTORC1 inhibitors may be an effective agent in the fight against type 2 diabetes. However, these results are based on theoretical knowledge and appropriate experimental tests should be performed before making firm conclusions.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0279573