Investigating cholesterol metabolism and ageing using a systems biology approach

A.E. Morgan, Kathleen Mooney, S. J. Wilkinson, NEIL PICKLES

Research output: Contribution to journalArticle (journal)peer-review

18 Citations (Scopus)
103 Downloads (Pure)

Abstract

CVD accounted for 27 % of all deaths in the UK in 2014, and was responsible for 1·7 million hospital admissions in 2013/2014. This condition becomes increasingly prevalent with age, affecting 34·1 and 29·8 % of males and females over 75 years of age respectively in 2011. The dysregulation of cholesterol metabolism with age, often observed as a rise in LDL-chol- esterol, has been associated with the pathogenesis of CVD. To compound this problem, it is estimated by 2050, 22 % of the world’s population will be over 60 years of age, in culmin- ation with a growing resistance and intolerance to pre-existing cholesterol regulating drugs such as statins. Therefore, it is apparent research into additional therapies for hypercholes- terolaemia and CVD prevention is a growing necessity. However, it is also imperative to rec- ognise this complex biological system cannot be studied using a reductionist approach; rather its biological uniqueness necessitates a more integrated methodology, such as that offered by systems biology. In this review, we firstly discuss cholesterol metabolism and how it is affected by diet and the ageing process. Next, we describe therapeutic strategies for hypercholesterolaemia, and finally how the systems biology paradigm can be utilised to investigate how ageing interacts with complex systems such as cholesterol metabolism. We conclude by emphasising the need for nutritionists to work in parallel with the systems biology community, to develop novel approaches to studying cholesterol metabolism and its interaction with ageing.
Original languageEnglish
Pages (from-to)378-391
Number of pages14
JournalProceedings of the Nutrition Society
Volume76
Issue number3
Early online date2 Nov 2016
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • Ageing
  • Cholesterol
  • Computational modelling
  • Systems biology

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