Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kloska, Sylwester M., Pałczyński, Krzysztof, Marciniak, Tomasz, Talaśka, Tomasz, Miller, Marissa, Wysocki, Beata J., Davis, Paul H., Soliman, Ghada A., Wysocki, Tadeusz A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794039/
https://www.ncbi.nlm.nih.gov/pubmed/36574435
http://dx.doi.org/10.1371/journal.pone.0279573
_version_ 1784859951537061888
author Kloska, Sylwester M.
Pałczyński, Krzysztof
Marciniak, Tomasz
Talaśka, Tomasz
Miller, Marissa
Wysocki, Beata J.
Davis, Paul H.
Soliman, Ghada A.
Wysocki, Tadeusz A.
author_facet Kloska, Sylwester M.
Pałczyński, Krzysztof
Marciniak, Tomasz
Talaśka, Tomasz
Miller, Marissa
Wysocki, Beata J.
Davis, Paul H.
Soliman, Ghada A.
Wysocki, Tadeusz A.
author_sort Kloska, Sylwester M.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9794039
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-97940392022-12-28 Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin Kloska, Sylwester M. Pałczyński, Krzysztof Marciniak, Tomasz Talaśka, Tomasz Miller, Marissa Wysocki, Beata J. Davis, Paul H. Soliman, Ghada A. Wysocki, Tadeusz A. PLoS One Research Article 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. Public Library of Science 2022-12-27 /pmc/articles/PMC9794039/ /pubmed/36574435 http://dx.doi.org/10.1371/journal.pone.0279573 Text en © 2022 Kloska et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kloska, Sylwester M.
Pałczyński, Krzysztof
Marciniak, Tomasz
Talaśka, Tomasz
Miller, Marissa
Wysocki, Beata J.
Davis, Paul H.
Soliman, Ghada A.
Wysocki, Tadeusz A.
Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin
title Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin
title_full Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin
title_fullStr Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin
title_full_unstemmed Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin
title_short Queueing theory model of mTOR complexes’ impact on Akt-mediated adipocytes response to insulin
title_sort queueing theory model of mtor complexes’ impact on akt-mediated adipocytes response to insulin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794039/
https://www.ncbi.nlm.nih.gov/pubmed/36574435
http://dx.doi.org/10.1371/journal.pone.0279573
work_keys_str_mv AT kloskasylwesterm queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT pałczynskikrzysztof queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT marciniaktomasz queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT talaskatomasz queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT millermarissa queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT wysockibeataj queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT davispaulh queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT solimanghadaa queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin
AT wysockitadeusza queueingtheorymodelofmtorcomplexesimpactonaktmediatedadipocytesresponsetoinsulin