Computationally Modeling Lipid Metabolism and Aging: A Mini-review

Mc Auley, Mark T.; Mooney, Kathleen M.

Abstract

One 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.

• Journal Article Type: Article
• Publication Date: 2015
• Deposit Date: Feb 19, 2025
• Publicly Available Date: Feb 24, 2025
• Journal: Computational and Structural Biotechnology Journal
• Print ISSN: 2001-0370
• Publisher: Research Network of Computational and Structural Biotechnology
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Pages: 38-46
• DOI: https://doi.org/10.1016/j.csbj.2014.11.006
• Additional Information: This article is maintained by: Elsevier; Article Title: Computationally Modeling Lipid Metabolism and Aging: A Mini-review; Journal Title: Computational and Structural Biotechnology Journal; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.csbj.2014.11.006; Content Type: article; Copyright: Copyright © 2014 Published by Elsevier B.V.