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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Online Access: | http://www.mdpi.com/2218-1989/5/2/232 |
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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 |
work_keys_str_mv |
AT marktmcauley mathematicalmodellingofmetabolicregulationinaging AT kathleenmmooney mathematicalmodellingofmetabolicregulationinaging AT peterjangell mathematicalmodellingofmetabolicregulationinaging AT stephenjwilkinson mathematicalmodellingofmetabolicregulationinaging |
_version_ |
1725578793857318912 |