Computationally Modeling Lipid Metabolism and Aging: A Mini-review

Mark T Mc Auley, Kathleen Mooney

Research output: Contribution to journalArticle

27 Citations (Scopus)
76 Downloads (Pure)

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 im- pinges significantly on cardiovascular health. However, the multifaceted nature of lipid metabolism and the com- plexities 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 dys- regulation, and how computational modeling is being used to gain an increased insight into this system.
Original languageEnglish
Pages (from-to)38-46
JournalComputational and Structural Biotechnology Journal
Volume13
DOIs
Publication statusE-pub ahead of print - 15 Nov 2015

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