Mathematical modelling of metabolic regulation in aging
dc.contributor.author | Mc Auley, Mark T. | * |
dc.contributor.author | Mooney, Kathleen M. | * |
dc.contributor.author | Angell, Peter J. | * |
dc.contributor.author | Wilkinson, Stephen J. | * |
dc.date.accessioned | 2015-05-01T15:30:26Z | |
dc.date.available | 2015-05-01T15:30:26Z | |
dc.date.issued | 2015-04-27 | |
dc.identifier.citation | Mc Auley, M. T., Mooney, K. M., Angell, P. J., & Wilkinson, S. J. (2015). Mathematical modelling of metabolic regulation in aging. Metabolites, 5(2), 232-251. | en |
dc.identifier.issn | 2218-1989 | en |
dc.identifier.doi | 10.3390/metabo5020232 | |
dc.identifier.uri | http://hdl.handle.net/10034/551062 | |
dc.description.abstract | 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. | |
dc.language.iso | en | en |
dc.publisher | MDPI | en |
dc.relation.url | http://www.mdpi.com/journal/metabolites | en |
dc.relation.url | http://www.mdpi.com/2218-1989/5/2/232 | en |
dc.subject | systems biology | en |
dc.subject | aging | en |
dc.subject | computational modelling | en |
dc.subject | mammalian target of rapamycin | en |
dc.subject | simulation | en |
dc.subject | sirtuins | en |
dc.subject | SIRT1 | en |
dc.subject | regulatory network | en |
dc.title | Mathematical modelling of metabolic regulation in aging | en |
dc.type | Article | en |
dc.contributor.department | University of Chester ; Liverpool Hope University ; Edge Hill University ; University of Chester | en |
dc.identifier.journal | Metabolites | |
rioxxterms.versionofrecord | https://doi.org/10.3390/metabo5020232 | |
html.description.abstract | 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. | |
rioxxterms.publicationdate | 2015-04-27 | |
dc.dateAccepted | 2015-03-25 | |
dc.date.deposited | 2015-05-01 |