Literature DB >> 28007697

Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing.

Mark T Mc Auley1, Kathleen M Mooney2, J Enrique Salcedo-Sora3.   

Abstract

Dietary folates have a key role to play in health, as deficiencies in the intake of these B vitamins have been implicated in a wide variety of clinical conditions. The reason for this is folates function as single carbon donors in the synthesis of methionine and nucleotides. Moreover, folates have a vital role to play in the epigenetics of mammalian cells by supplying methyl groups for DNA methylation reactions. Intriguingly, a growing body of experimental evidence suggests that DNA methylation status could be a central modulator of the ageing process. This has important health implications because the methylation status of the human genome could be used to infer age-related disease risk. Thus, it is imperative we further our understanding of the processes which underpin DNA methylation and how these intersect with folate metabolism and ageing. The biochemical and molecular mechanisms, which underpin these processes, are complex. However, computational modelling offers an ideal framework for handling this complexity. A number of computational models have been assembled over the years, but to date, no model has represented the full scope of the interaction between the folate cycle and the reactions, which governs the DNA methylation cycle. In this review, we will discuss several of the models, which have been developed to represent these systems. In addition, we will present a rationale for developing a combined model of folate metabolism and the DNA methylation cycle.

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Year:  2018        PMID: 28007697     DOI: 10.1093/bib/bbw116

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  5 in total

Review 1.  Modeling aging and its impact on cellular function and organismal behavior.

Authors:  Emerson Santiago; David F Moreno; Murat Acar
Journal:  Exp Gerontol       Date:  2021-09-26       Impact factor: 4.032

2.  Computational modeling of methionine cycle-based metabolism and DNA methylation and the implications for anti-cancer drug response prediction.

Authors:  Mengying Zhang; Christian Saad; Lien Le; Kathrin Halfter; Bernhard Bauer; Ulrich R Mansmann; Jian Li
Journal:  Oncotarget       Date:  2018-02-21

3.  Dynamics and interactions of cobalamin and folate status during advanced aging - a longitudinal study in a community-dwelling cohort with multiple follow-ups.

Authors:  Alexandra Jungert; Carola Zenke-Philippi; Monika Neuhäuser-Berthold
Journal:  Nutr J       Date:  2020-07-02       Impact factor: 3.271

4.  Contribution of MTR A2756G polymorphism and MTRR A66G polymorphism to the risk of idiopathic male infertility.

Authors:  Zheng-Ju Ren; Yan-Ping Zhang; Peng-Wei Ren; Bo Yang; Shi Deng; Zhu-Feng Peng; Liang-Ren Liu; WuRan Wei; Qiang Dong
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.889

5.  Cluster mean-field theory accurately predicts statistical properties of large-scale DNA methylation patterns.

Authors:  Lyndsay Kerr; Duncan Sproul; Ramon Grima
Journal:  J R Soc Interface       Date:  2022-01-26       Impact factor: 4.118

  5 in total

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