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dc.contributor.authorMc Auley, Mark T.*
dc.contributor.authorMooney, Kathleen M.*
dc.date.accessioned2015-02-11T17:35:30Z
dc.date.available2015-02-11T17:35:30Z
dc.date.issued2014-11-15
dc.identifier.citationMc Auley, M. T., & Mooney, K. M. (2015). Computationally modeling lipid metabolism and aging: a mini-review. Computational and structural biotechnology journal, 13, 38-46.en
dc.identifier.issn2001-0370en
dc.identifier.doi10.1016/j.csbj.2014.11.006
dc.identifier.urihttp://hdl.handle.net/10034/344379
dc.descriptionThis is an Version of Record of an article published in Computational and Structural Biotechnology Journal in 15 November 2014, available online: http://dx.doi.org/10.1016/j.csbj.2014.11.006 This is an open-access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/ licenses/by/3.0/en
dc.description.abstractOne of the greatest challenges in biology is to improve the understanding of the mechanisms which underpin aging and how these affect health. The need to better understand aging is amplified by demographic changes, which have caused a gradual increase in the global population of older people. Aging western populations have resulted in a rise in the prevalence of age-related pathologies. Of these diseases, cardiovascular disease is the most common underlying condition in older people. The dysregulation of lipid metabolism due to aging impinges significantly on cardiovascular health. However, the multifaceted nature of lipid metabolism and the complexities of its interaction with aging make it challenging to understand by conventional means. To address this challenge computational modeling, a key component of the systems biology paradigm is being used to study the dynamics of lipid metabolism. This mini-review briefly outlines the key regulators of lipid metabolism, their dysregulation, and how computational modeling is being used to gain an increased insight into this system.
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlwww.elsevier.com/locate/csbjen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S2001037014000476en
dc.rightsArchived with thanks to Computational and Structural Biotechnology Journalen
dc.subjectageingen
dc.subjectcomputer modellingen
dc.titleComputationally modeling lipid metabolism and aging: A mini-reviewen
dc.typeArticleen
dc.contributor.departmentUniversity of Chester; Edge Hill Universityen
dc.identifier.journalComputational and Structural Biotechnology Journal
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.csbj.2014.11.006
html.description.abstractOne of the greatest challenges in biology is to improve the understanding of the mechanisms which underpin aging and how these affect health. The need to better understand aging is amplified by demographic changes, which have caused a gradual increase in the global population of older people. Aging western populations have resulted in a rise in the prevalence of age-related pathologies. Of these diseases, cardiovascular disease is the most common underlying condition in older people. The dysregulation of lipid metabolism due to aging impinges significantly on cardiovascular health. However, the multifaceted nature of lipid metabolism and the complexities of its interaction with aging make it challenging to understand by conventional means. To address this challenge computational modeling, a key component of the systems biology paradigm is being used to study the dynamics of lipid metabolism. This mini-review briefly outlines the key regulators of lipid metabolism, their dysregulation, and how computational modeling is being used to gain an increased insight into this system.
rioxxterms.publicationdate2014-11-15
dc.date.deposited2015-02-11


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