Aging and computational systems biology

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

doi:10.1002/wsbm.1328

Cited by 29 publications

(22 citation statements)

References 146 publications

(251 reference statements)

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“…In recent years, a systems-orientated approach has become common place in bioscience research (69)(70)(71)(72)(73) . The essence of this approach is to utilise novel approaches to study molecules, cells or entire organisms.…”

Section: Detecting Dna Methylationmentioning

confidence: 99%

The role of DNA methylation in ageing and cancer

2018

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The aim of the present review paper is to survey the literature related to DNA methylation, and its association with cancer and ageing. The review will outline the key factors, including diet, which modulate DNA methylation. Our rationale for conducting this review is that ageing and diseases, including cancer, are often accompanied by aberrant DNA methylation, a key epigenetic process, which is crucial to the regulation of gene expression. Significantly, it has been observed that with age and certain disease states, DNA methylation status can become disrupted. For instance, a broad array of cancers are associated with promoter-specific hypermethylation and concomitant gene silencing. This review highlights that hypermethylation, and gene silencing, of the EN1 gene promoter, a crucial homeobox gene, has been detected in various forms of cancer. This has led to this region being proposed as a potential biomarker for diseases such as cancer. We conclude the review by describing a recently developed novel electrochemical method that can be used to quantify the level of methylation within the EN1 promoter and emphasise the growing trend in the use of electrochemical techniques for the detection of aberrant DNA methylation.

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Section: Detecting Dna Methylationmentioning

confidence: 99%

The role of DNA methylation in ageing and cancer

2018

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“…Thus, it is imperative if we are to gain a more in-depth appreciation of cholesterol metabolism and its interaction with ageing, that we investigate this system in a more integrated manner. The systems biology paradigm contrasts with the more traditional reductionist approach, commonly used in nutrition research, and offers a more integrated way to study this multifaceted system (14,113,114) . A fundamental element of this paradigm shift is the close coupling of computational modelling with experimental work (115)(116)(117)(118) .…”

Section: Applying Systems Biology To Our Understanding Of Cholesterolmentioning

confidence: 99%

Investigating cholesterol metabolism and ageing using a systems biology approach

et al. 2016

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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-cholesterol, 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 culmination with a growing resistance and intolerance to pre-existing cholesterol regulating drugs such as statins. Therefore, it is apparent research into additional therapies for hypercholesterolaemia and CVD prevention is a growing necessity. However, it is also imperative to recognise 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.

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“…In recent years however, several groups have adopted a systems level approach to investigating lipid metabolism Mooney et al, 2016). The majority of these models have centred on specific metabolic processes, including those directed at lipoprotein metabolism (Hubner et al, 2008;Shorten and Upreti, 2005;Sips et al, 2014), cholesterol biosynthesis (Bhattacharya et al, 2014;Kervizic and Corcos, 2008;Mazein et al, 2013;Watterson et al, 2013), reverse cholesterol transport (Lu et al, 2014), adipocyte metabolism (Micheloni et al, 2015), hepatocyte metabolism (Jerby et al, 2010), cholesterol regulatory enzymes (Chapman et al, 2010), whole-body plasma cholesterol metabolism (van de Pas et al, 2012) and enterohepatic circulation of bile acids (Mishra et al, 2014).…”

Section: Introductionmentioning

confidence: 99%