Mathematical Modelling of Metabolic Regulation in Aging

The underlying cellular mechanisms that characterize aging are complex and multifaceted. However, it is emerging that aging could be regulated by two distinct metabolic hubs. These hubs are the pathway defined by the mammalian target of rapamycin (mTOR) and that defined by the NAD+-dependent deacety...

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Main Authors: Mark T. Mc Auley, Kathleen M. Mooney, Peter J. Angell, Stephen J. Wilkinson
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Metabolites
Subjects:
Online Access:http://www.mdpi.com/2218-1989/5/2/232
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spelling doaj-4469575812764f08a04f299787e2abe52020-11-24T23:19:28ZengMDPI AGMetabolites2218-19892015-04-015223225110.3390/metabo5020232metabo5020232Mathematical Modelling of Metabolic Regulation in AgingMark T. Mc Auley0Kathleen M. Mooney1Peter J. Angell2Stephen J. Wilkinson3Faculty of Science & Engineering, University of Chester, Thornton Science Park, CH2 4NU, UKFaculty of Health and Social Care, Edge Hill University, Ormskirk, Lancashire, L39 4QP, UKSchool of Health Sciences, Liverpool Hope University, Taggart Avenue, Liverpool, L16 9JD, UKFaculty of Science & Engineering, University of Chester, Thornton Science Park, CH2 4NU, UKThe underlying cellular mechanisms that characterize aging are complex and multifaceted. However, it is emerging that aging could be regulated by two distinct metabolic hubs. These hubs are the pathway defined by the mammalian target of rapamycin (mTOR) and that defined by the NAD+-dependent deacetylase enzyme, SIRT1. Recent experimental evidence suggests that there is crosstalk between these two important pathways; however, the mechanisms underpinning their interaction(s) remains poorly understood. In this review, we propose using computational modelling in tandem with experimentation to delineate the mechanism(s). We briefly discuss the main modelling frameworks that could be used to disentangle this relationship and present a reduced reaction pathway that could be modelled. We conclude by outlining the limitations of computational modelling and by discussing opportunities for future progress in this area.http://www.mdpi.com/2218-1989/5/2/232agingcomputational modellingmammalian target of rapamycinsystems biologysimulationsirtuinsSIRT1regulatory network
collection DOAJ
language English
format Article
sources DOAJ
author Mark T. Mc Auley
Kathleen M. Mooney
Peter J. Angell
Stephen J. Wilkinson
spellingShingle Mark T. Mc Auley
Kathleen M. Mooney
Peter J. Angell
Stephen J. Wilkinson
Mathematical Modelling of Metabolic Regulation in Aging
Metabolites
aging
computational modelling
mammalian target of rapamycin
systems biology
simulation
sirtuins
SIRT1
regulatory network
author_facet Mark T. Mc Auley
Kathleen M. Mooney
Peter J. Angell
Stephen J. Wilkinson
author_sort Mark T. Mc Auley
title Mathematical Modelling of Metabolic Regulation in Aging
title_short Mathematical Modelling of Metabolic Regulation in Aging
title_full Mathematical Modelling of Metabolic Regulation in Aging
title_fullStr Mathematical Modelling of Metabolic Regulation in Aging
title_full_unstemmed Mathematical Modelling of Metabolic Regulation in Aging
title_sort mathematical modelling of metabolic regulation in aging
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2015-04-01
description The underlying cellular mechanisms that characterize aging are complex and multifaceted. However, it is emerging that aging could be regulated by two distinct metabolic hubs. These hubs are the pathway defined by the mammalian target of rapamycin (mTOR) and that defined by the NAD+-dependent deacetylase enzyme, SIRT1. Recent experimental evidence suggests that there is crosstalk between these two important pathways; however, the mechanisms underpinning their interaction(s) remains poorly understood. In this review, we propose using computational modelling in tandem with experimentation to delineate the mechanism(s). We briefly discuss the main modelling frameworks that could be used to disentangle this relationship and present a reduced reaction pathway that could be modelled. We conclude by outlining the limitations of computational modelling and by discussing opportunities for future progress in this area.
topic aging
computational modelling
mammalian target of rapamycin
systems biology
simulation
sirtuins
SIRT1
regulatory network
url http://www.mdpi.com/2218-1989/5/2/232
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AT peterjangell mathematicalmodellingofmetabolicregulationinaging
AT stephenjwilkinson mathematicalmodellingofmetabolicregulationinaging
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