Skip to main content Accessibility help
Hostname: page-component-55597f9d44-vkn6t Total loading time: 0.778 Render date: 2022-08-09T19:44:12.521Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "useRatesEcommerce": false, "useNewApi": true } hasContentIssue true

DNA methylation, ageing and the influence of early life nutrition

Published online by Cambridge University Press:  21 March 2014

Karen A. Lillycrop*
Faculty of Natural and Environmental Sciences, Centre for Biological Sciences, University of Southampton, Southampton, UK
Samuel P. Hoile
Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
Leonie Grenfell
Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
Graham C. Burdge
Academic Unit of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
*Corresponding author: Dr K. A. Lillycrop, fax +44 (0)23 80795255, email
Rights & Permissions[Opens in a new window]


It is well established that genotype plays an important role in the ageing process. However, recent studies have suggested that epigenetic mechanisms may also influence the onset of ageing-associated diseases and longevity. Epigenetics is defined as processes that induce heritable changes in gene expression without a change in the DNA nucleotide sequence. The major epigenetic mechanisms are DNA methylation, histone modification and non-coding RNA. Such processes are involved in the regulation of tissue-specific gene expression, cell differentiation and genomic imprinting. However, epigenetic dysregulation is frequently seen with ageing. Relatively little is known about the factors that initiate such changes. However, there is emerging evidence that the early life environment, in particular nutrition, in early life can induce long-term changes in DNA methylation resulting in an altered susceptibility to a range of ageing-associated diseases. In this review, we will focus on the changes in DNA methylation that occur during ageing; their role in the ageing process and how early life nutrition can modulate DNA methylation and influence longevity. Understanding the mechanisms by which diet in early life can influence the epigenome will be crucial for the development of preventative and intervention strategies to increase well-being in later life.

Conference on ‘Nutrition and healthy ageing’
Copyright © The Authors 2014 

Ageing is the accumulation of changes within an organism that result in a reduced stress response, impaired homeostasis, an elevated risk of non-communicable disease and ultimately death( Reference Rakyan, Down and Maslau 1 ). It is well established that genotype plays an important role in the ageing process as mutations, even within single genes, have been shown to exert a marked influence on longevity and the onset of ageing-associated diseases( Reference Rodriguez-Rodero, Fernandez-Morera and Menendez-Torre 2 ). However, there is also growing evidence that epigenetic process can modify the ageing process. Epigenetic processes can be influenced by a variety of environmental factors, including nutrition particularly during early life, leading to long-term effects on physiology that affect susceptibility to a range of ageing-associated diseases.

Epigenetic mechanisms

Epigenetics literally means ‘on top’ of genetics and is defined as processes that induce heritable changes in gene expression without a change in the nucleotide sequence. The major epigenetic mechanisms are DNA methylation, histone modification and non-coding RNA. Here we will focus on DNA methylation but it is clear that there is substantial crosstalk between these epigenetic processes.

DNA methylation

Methylation is a common modification in mammalian genomes with the cytosine base being most frequently methylated to give rise to 5-methyl cytosine. The majority of methylated cytosines are found as part of a cytosine and guanine dinucleotide (CpG) where p denotes the intervening phosphate group. CpG dinucleotides are not distributed randomly through the genome but are found clustered at the 5′ ends of genes in regions known as CpG islands( Reference Bird 3 ). Hypermethylation of these CpG islands is associated with transcriptional repression, whereas hypomethylation of CpG islands is associated with transcriptional activation( Reference Bird 4 ). DNA methylation induces transcriptional silencing by preventing the binding of transcription factors to the DNA or by recruiting methyl CpG-binding protein 2 to the DNA( Reference Bird 5 ), which in turn, recruits histone-modifying complexes( Reference Fuks, Hurd and Wolf 6 ).

DNA methylation is essential for normal development; it is responsible for the asymmetrical silencing of imprinted genes( Reference Reik and Walter 7 ), X-chromosome inactivation( Reference Walsh, Chaillet and Bestor 8 , Reference Waterland and Jirtle 9 ) and for the tissue-specific gene expression( Reference Bird 3 ). DNA methylation patterns are largely established during development and early postnatal life. Following fertilisation, the methylation marks on the maternal and paternal genomes are largely erased, this is then followed by global de novo methylation just prior to blastocyst implantation when CpG mainly in repressive heterochromatin regions and in repetitive sequences are methylated( Reference Reik, Dean and Walter 10 , Reference Reik, Santos and Dean 11 ). The methylation of tissue-specific genes occurs during embryogenesis and early postnatal life and is essential for cell specification. The de novo methylation of CpG dinucleotides is catalysed by the DNA methyltransferases (DNMT) 3a and 3b( Reference Okano, Bell and Haber 12 ), and is maintained through mitosis by gene-specific methylation of hemi-methylated DNA by DNMT1( Reference Bacolla, Pradhan and Roberts 13 ).

DNA methylation works together with histone modifications to regulate gene expression. In a cell, DNA is wrapped around a core of eight histone proteins, which are subject to modifications including acetylation, methylation, ubiquitination, sumoylation and phosphorylation( Reference Turner 14 ). The establishment of these marks on the histone tails is often referred to as the histone code, which leads to the binding of effector proteins that in turn bring about specific cellular processes. Histone acetylation is associated with transcriptional activity and an open chromatin state, and is brought about through histone acetyl transferases. Histone methylation of lysine (K) residues within the histone tail can either be an active or repressive mark depending on the specific lysine involved( Reference Brenner and Fuks 15 ). Histone H3 K4 methylation is associated with gene activation, whereas histone H3 K9 methylation with gene silencing( Reference Nakayama, Rice and Strahl 16 ).

Crosstalk between DNA methylation and histone modification clearly occurs. Methylated DNA is bound by methyl CpG-binding protein 2, which recruits both histone deacetylases, which remove acetyl groups from the histones( Reference Strahl, Ohba and Cook 17 Reference Fuks, Burgers and Brehm 19 ), and histone methyl transferases, such as Suv39H1( Reference Nakayama, Rice and Strahl 16 ) which methylates K9 on histone H3, resulting in a closed chromatin structure and transcriptional silencing. Recent studies have also shown that DNMT1 can be recruited by a number of histone modifying enzymes such as histone deacetylases 1 and histone deacetylases 2, as well as the histone methyl transferase, enhancer of zeste homologue 2( Reference Rountree, Bachman and Baylin 20 , Reference Vire, Brenner and Deplus 21 ), suggesting that chromatin structure may also determine DNA methylation status.

DNA methylation, C1 metabolism and diet

Methyl groups for all biological methylation reactions including DNA methylation are primarily supplied from dietary methyl donors and cofactors via C1 metabolism( Reference Scott and Weir 22 ). In this pathway, methionine is converted to S-adenosylmethionine, the universal methyl donor. After transferring the methyl group, S-adenosylmethionine is converted to S-adenosylhomocysteine, which is then converted to homocysteine. Homocysteine is then either recycled to methionine by the enzyme betaine homocysteine methyltransferase, which uses betaine or choline, or via a folate-dependent remethylation pathway, where 5-methyl tetrahydrofolate is reduced to 5,10-methylene tetrahydrofolate by 5,10-methylenetetrahydrofolate reductase. This methyl group is then used by methionine synthase to convert homocysteine to methionine using vitamin B12 as the cofactor. This reliance on dietary sources of methyl donors and cofactors for DNA methylation reactions had led to the suggestion that nutrition may affect both the establishment and maintenance of DNA methylation patterns with long-term consequences for health. However, it is only recently that the full impact diet can have on DNA methylation and health has been realised and this will be discussed later in the review.

DNA methylation is dynamically regulated

DNA methylation was originally thought to be a very stable mark and once methylation marks were established during development, they were then stably maintained through the life-course. This premise was based on the thermodynamic stability of the methylation mark and the uncertainty of whether a biochemical mechanism existed by which the methyl group can be directly removed from 5-methylcytosine( Reference Ooi and Bestor 23 ). Thus, it was assumed that DNA demethylation could only occur passively through a failure of the maintenance DNMT to copy the methylation mark during DNA replication. However, this concept has now been challenged, as there have been a number of studies, which have shown active demethylation. For instance, active demethylation has been observed on the paternal genomic DNA in the zygote upon fertilisation( Reference Reik, Santos and Dean 11 , Reference Miller and Sweatt 24 ), on the synaptic plasticity gene reelin in the hippocampus upon contextual fear conditioning( Reference Miller and Sweatt 24 , Reference Kersh, Fitzpatrick and Murali-Krishna 25 ) and on the interferon gamma gene upon antigen exposure of memory CD8T cells( Reference Kersh, Fitzpatrick and Murali-Krishna 25 ). Moreover, a number of potential DNA demethylases have been discovered including ten–eleven translocation proteins( Reference Tahiliani, Koh and Shen 26 , Reference Ito, D'Alessio and Taranova 27 ), methyl-binding domain protein 2b( Reference Bhattacharya, Ramchandani and Cervoni 28 ), methyl-binding domain protein 4( Reference Zhu, Zheng and Angliker 29 ), the DNA repair endonucleases XPG (Gadd45a)( Reference Barreto, Schafer and Marhold 30 ) and a G/T mismatch repair DNA glycosylase( Reference Jost 31 ). These potential DNA demethylases function not by directly removing the methyl group from cytosine but through multistep processes linked either to DNA repair mechanisms or through further modification of 5-methylcytosine.

DNA methylation changes in the ageing cell

Changes in DNA methylation patterns have been reported during ageing. Berdyshev et al. ( Reference Berdyshev, Korotaev and Boiarskikh 32 ) first reported a global decrease in DNA methylation during ageing in the humpback salmon. Subsequently, a large number of studies in many different species including rat, mouse, cow, hamsters and human subjects have all shown a progressive loss of DNA methylation during ageing( Reference Bollati, Schwartz and Wright 33 Reference Singhal, Mays-Hoopes and Eichhorn 35 ), primarily at repetitive sequences( Reference Bollati, Schwartz and Wright 33 ). The expression of DNMT have also been reported to change during ageing, Casillas et al.( Reference Casillas, Lopatina and Andrews 36 ) found that while the expression of DNMT1 and DNMT3a decline during ageing, DNMT3b expression increases. As DNMT1 is the maintenance DNMT, a decrease in its expression during ageing is consistent with the increase in global hypomethylation seen in an ageing cell. However, alongside the increase in global hypomethylation observed during ageing, there is also an increase in gene-specific promoter hypermethylation. Examples of genes that are hypermethylated during ageing, include the oestrogen receptor( Reference Issa, Ottaviano and Celano 37 ), insulin-like growth factor-2 (IGF-2), tumour-suppressor candidate 3 and myogenic differentiation 1( Reference Ahuja and Issa 38 ), death-associated protein kinase, E-cadherin, alternative reading frame relative to p16 and tissue inhibitor of metalloproteinase 3( Reference Kang, Lee and Kim 39 ). The hypermethylation of gene promoters during ageing occurs more frequently at promoters associated with bivalent chromatin domains( Reference Rakyan, Down and Maslau 1 ); promoters with both an activating H3 K4 methylation mark and a repressive H3 K27 trimethylation mark. Bivalent chromatin-associated promoters are generally found in developmental control genes, and they are also frequently hypermethylated in cancers( Reference Chen, Ko and Lin 40 ).

To investigate how DNA methylation may change over time, a number of groups have used longitudinal studies. Feinberg et al. ( Reference Feinberg, Irizarry and Fradin 41 ), used a genome-wide screen to investigate about 4 million CpG sites over a 11-year time period and found 227 regions that showed extreme inter-individual variability (variably methylated regions) across the genome. These variable methylated regions fell into two groups: those that were dynamic and those that remained stable over the 11-year period. In a larger study, Bjornsson et al. ( Reference Bjornsson, Sigurdsson and Fallin 42 ), who measured the global DNA methylation levels in whole blood from 111 individuals (age 59–86 years) followed over 11 years and 127 individuals (age 5–72 years) followed over 16 years found that 8–10 % of individuals in both groups showed changes in methylation >20 % over an 11–16-year time span, which is consistent with the suggestion that there is an accumulation of epigenetic changes during ageing. The changes they observed showed familial clustering of both increased and decreased methylation. Because most family members did not share households during the time between sample collections, this suggests that genotype can influence the rate of change in methylation over time.

To examine the accumulation of epigenetic changes with age without the confounding influence of genetic background, a number of groups have used monozygotic twins to study variation in DNA methylation over time( Reference Bell and Spector 43 ). Comparison of DNA methylation patterns in 3- and 50-year-old monozygotic (MZ) twin pairs found that while the genomic distribution of 5-methylcytosine showed significant overlap in the 3-year twin pairs, the distribution of DNA methylation marks were distinct in the 50-year twin pairs( Reference Fraga, Ballestar and Paz 44 ). Talens et al. ( Reference Talens, Boomsma and Tobi 45 ) also found that variation in global DNA methylation levels in 460 individuals, which included 230 MZ pairs aged from 18 to 89 years increased proportionally with age. They also examined mean methylation and variation in DNA methylation across this age span in a number of candidate genes associated with common diseases. They found that while mean methylation differences between the young and the old age groups at these loci were relatively small, there was again an increase in variation of DNA methylation with age. However, there was a substantial difference in the stability of different CpG loci, the most pronounced increases in age-related variation in DNA methylation occurring at CpG sites associated with metabolic and homeostatic-related genes, such as IGF-2, corticotropin-releasing hormone and leptin. Bocklandt et al. ( Reference Bocklandt, Lin and Sehl 46 ), who measured DNA methylation in saliva samples of thirty-four pairs of identical twins, aged between 21 and 55 years, identified eighty-eight CpG sites near eighty genes where methylation was significantly correlated with age. Three CpG loci corresponding to the ectodysplasin A receptor-associated death domain, target of myb1 (L1), and neuronal pentraxin II genes were highly correlated in a linear manner with age over five decades( Reference Bocklandt, Lin and Sehl 46 ), and using just two cytosines from these loci, they found that methylation at these loci explained 73 % of the variance in age, and was able to predict the age of an individual with an average accuracy of 5·2 years.

A number of studies have shown considerable epigenetic differences between both monozygotic and dizygotic twin pairs even at birth, which suggests that the intrauterine environment is a period of enhanced epigenetic sensitivity. Ollikainen and Craig( Reference Ollikainen and Craig 47 ), examined the methylation of four differentially methylated regions associated with the IGF-2/H19 locus in multiple tissues at birth and found that methylation discordance was present within twin pairs, with dizygotic pairs showing greater discordance than MZ pairs. Gordon et al. ( Reference Gordon, Joo and Powell 48 ) using a genome-wide approach to screen for differences at individual CpG sites, also reported in MZ twins at birth, a wide range of within-pair methylation differences, but the discordance levels were in general lower than the dizygotic. Interestingly, within-pair methylation discordance increased with increasing distance from CpG islands (up to 4 kb) in all tissues for both MZ and dizygotic pairs, with no evidence for a further increase at distances >4 kb, suggesting that CpG islands may be under tighter epigenetic control than other regions of the genome.

Changes in histone posttranslational modifications during ageing

Changes in the abundance of histone proteins and histone modifications also occur during the ageing process. Levels of the histone proteins H3, H4 and H2A are greatly reduced in ageing cells( Reference Dang, Steffen and Perry 49 , Reference Shogren-Knaak, Ishii and Sun 50 ). Reductions in histone H4 acetylation( Reference Pina, Martinez and Suau 51 ), histone H3 K9 methylation( Reference O'Sullivan, Kubicek and Schreiber 52 ) and histone H3 K27 trimethylation( Reference Chen, Gu and Su 53 ) are also seen during ageing, whereas there is an increase in histone H4 K16 acetylation( Reference O'Sullivan, Kubicek and Schreiber 52 ) and histone H4 K20 trimethylation( Reference Sarg, Koutzamani and Helliger 54 , Reference Biron, McManus and Hu 55 ). There is also a global decrease in heterochromatin( Reference Villeponteau 56 ) and an increase in senescence-associated heterochromatin foci( Reference Zhang, Poustovoitov and Ye 57 ). The expression of many of the enzymes that bring about these changes are also altered in the ageing cell. For instance, enhancer of zeste homologue 2, the catalytic subunit of the polycomb complex, which mediates H3 K27 methylation is decreased during ageing in a variety of cell types( Reference Chen, Gu and Su 53 , Reference Shumaker, Dechat and Kohlmaier 58 ); while Sirtuin1, an NAD-dependent deacetylase that deacetylates both histones and protein substrates including p53 and PPARγ, coactivator 1 α is up-regulated( Reference Kaeberlein, McVey and Guarente 59 Reference Blander and Guarente 61 ). Such changes are reviewed elsewhere( Reference Feser and Tyler 62 ), although as there is crosstalk between DNA methylation and histone modifications, the changes in the histone code may signal a subsequent change in DNA methylation, as seen with the bivalent chromatin domains, which appear to be preferentially targeted for DNA hypermethylation during the ageing process.

The role of epigenetics in ageing-associated diseases

Studies to date do suggest there are loci-specific epigenetic changes within the genome as we age, but are these changes really causal or a consequence of the ageing process? Many of the changes seen in ageing cells are very similar to those observed in cancer cells, consistent with the idea that ageing is a major risk factor for the development of cancer. Global hypomethylation was one of the first epigenetic alterations to be found in human cancer( Reference Feinberg and Vogelstein 63 ). The loss of methylation occurs mainly in repetitive DNA sequences and the coding regions and introns of genes( Reference Feinberg and Tycko 64 ) and this increases as the cancer progresses( Reference Fraga, Herranz and Espada 65 ). DNA hypomethylation may increase genomic instability, induce the reactivation of transposable elements, and the loss of imprinting( Reference Eden, Gaudet and Waghmare 66 ), contributing to cancer progression and pathogenesis. However, alongside global hypomethylation, cancer cells also exhibit an increase in gene-specific hypermethylation of tumour suppressor genes( Reference Esteller 67 ). The pattern of gene-specific hypermethylation appears to be tumour type( Reference Esteller, Corn and Baylin 68 ) and tumour stage-dependent( Reference Dejeux, Ronneberg and Solvang 69 ). Hypermethylation can affect genes involved in the cell-cycle control, genome stability and repair, cell adhesion, apoptosis and angiogenesis. Hypermethylation, as in ageing cells, occurs more frequently at bivalent chromatin domain promoters( Reference Rakyan, Down and Maslau 1 ). H3 K27 trimethylation, one of the marks of bivalent chromatin, is induced through the histone methyl transferase, enhancer of zeste homologue 2 and the polycomb complex, the presence of which has been reported to lead to the recruitment of DNMT and de novo methylation( Reference Rush, Appanah and Lee 70 ). In cancer, it has been suggested that the hypermethylation of bivalent genes leads to the silencing of genes required for differentiation, driving cell proliferation and self-renewal and increasing cancer risk( Reference Ohm, McGarvey and Yu 71 ). Thus, the hypermethylation of the bivalent promoters during ageing may act as an ‘epimutation’, contributing to the multiple mutations required for cancer development.

However, there are also marked differences between an ageing and cancer cell. In an ageing cell, the tumour suppressor gene p16INK4a, which acts to limit cell-cycle progression and to promote cellular senescence in response to multiple stresses including oncogene activation, is progressively induced( Reference Collado, Blasco and Serrano 72 Reference Janzen, Forkert and Fleming 74 ). Polycomb proteins and the associated H3 K27 trimethylation mark normally blanket the p16INK4a gene locus, but levels of the polycomb protein enhancer of zeste homologue 2 and H3 K27 methylation decline in stressed and ageing cells, which leads to a loss of H3 K27 trimethylation at the p16INK4a gene locus and gene activation( Reference Bracken, Kleine-Kohlbrecher and Dietrich 75 ). This induction of p16INK4a during ageing promotes longevity in the short term by preventing the development of cancer. However, in the long term its induction may ultimately limit life span as p16INK4a expression drives the cell towards a senescence phenotype, restricting the regenerative capability and function of tissues and enhancing the ageing process. In contrast, in cancer cells, polycomb proteins are often up-regulated( Reference Bracken and Helin 76 ) and the p16INK4a gene is frequently hypermethylated and silenced( Reference Esteller 67 ).

Mechanisms of epigenetic change during ageing

The mechanism(s) by which DNA methylation changes accumulate in ageing cells is still poorly understood, but it has been proposed that ageing-associated changes in DNA methylation may be induced both by stochastic variation and environmental factors (Fig. 1).

Fig. 1. (colour online) Ageing-associated changes in DNA methylation are induced by both stochastic and environmental factors. These factors can influence the epigenome throughout the life course, although the epigenome is most susceptible to environmental factors such as nutrition in early life.

Stochastic factors

Stochastic changes in DNA methylation have been proposed to explain some of the changes in DNA methylation seen during the ageing process. Stochastic changes are non-environmentally induced random changes in DNA methylation. These may arise for instance due to a lack of fidelity when the methylation mark from the parental strand is copied to the newly synthesised strand during the process of replication( Reference Petronis 77 ). This loss of epigenetic fidelity may well be accentuated during ageing as levels of DNMT1, the maintenance DNMT, has been reported to decline in ageing cells( Reference Casillas, Lopatina and Andrews 36 ). This may lead to an increase in epigenetic heterogeneity within a cell population, and an increase in inter-cell gene expression differences within tissues during ageing( Reference Bahar, Hartmann and Rodriguez 78 ). The accumulation of such epigenetic changes may ultimately lead to a decline in tissue function and eventual malfunction.

Environmental factors

There is also increasing evidence that a number of environmental factors including nutrition, stress, placental insufficiency, endocrine disruptors and pollution can induce changes in the epigenome. These studies suggest that the epigenome is most susceptible to such factors during early life. Both human epidemiological and animal studies have shown that the early life environment is an important determinant of lifelong health( Reference Godfrey and Barker 79 ). Such findings have led to the Developmental Origins of Adult Disease hypothesis, which suggests that environmental factors during early stages of development can result in long-lasting effects on metabolism and physiology, altering the risk of disease in later life( Reference Gluckman, Hanson and Pinal 80 ). The environmental modulation of the epigenome in early life suggests a mechanism whereby early life environmental factors may be able to influence future health and longevity and indeed there is growing evidence that epigenetics processes are central to the mechanism by which the environment can influence future disease risk.

Nutritional modulation of the epigenome in early life

One of the best examples of how diet can alter phenotype and longevity through the altered methylation of DNA is seen in studies on the honeybee. Queen and worker bees are genetically identical, but differ in their morphology, reproductive capacity and life span, queen bees living 20-fold longer than worker bees. Maleszka( Reference Maleszka 81 ) showed that if female larvae were incubated in the presence of Royal Jelly they developed into queen bees, whereas if the larvae were incubated in the absence of Royal Jelly they developed into sterile worker bees. However, silencing the expression of DNMT3 in the larvae increased the proportion of larvae developing into queen bees even in the absence of Royal Jelly. This shows that nutrition can profoundly affect phenotype and it does so through the altered methylation of DNA( Reference Kucharski, Maleszka and Foret 82 ).

In rodents, alterations in maternal diet have also been shown to induce changes in DNA methylation in the offspring. In Agouti viable yellow mice, supplementation of the maternal diet with dietary methyl donors and cofactors (folic acid, vitamin B12, choline and betaine) shifted the coat colour of the offspring from yellow (agouti) to brown (pseudo-agouti) and this was associated with the increased methylation of the agouti gene( Reference Wolff, Kodell and Moore 83 ).

Maternal diet can also alter the methylation of key metabolic genes within the offspring. For instance feeding rats a protein restricted diet during pregnancy induced the hypomethylation of the glucocorticoid receptor and PPAR-α promoters in the livers of juvenile and adult offspring, which was associated with an increase in glucocorticoid receptor and PPARα mRNA expression( Reference Lillycrop, Phillips and Jackson 84 , Reference Lillycrop, Slater-Jefferies and Hanson 85 ). Maternal protein restriction induced the hypomethylation of four specific CpG dinucleotides within the promoter of PPARα, two of which predicted the level of the mRNA transcript, in the juvenile offspring( Reference Lillycrop, Phillips and Torrens 86 ). As these CpG sites lie within transcription factor-binding sites, changes in the methylation status of these CpG induced during development may affect later transcriptional induction of PPARα by the specific stimuli and the capacity of the tissue to face the metabolic demand. In contrast to the effect of the maternal protein restricted diet, maternal dietary restriction during pregnancy induced the hypermethylation of glucocorticoid receptor and PPARα promoters and a decrease in glucocorticoid receptor and PPARα expression( Reference Gluckman, Lillycrop and Vickers 87 ). Thus, the effects of maternal nutrition on the epigenome of the offspring depend upon the nature of the specific maternal nutrient challenge.

Similarly, alterations in paternal diet in rodents have been associated with altered DNA methylation in the offspring. Feeding fathers a low-protein diet prior to mating led to widespread changes in DNA methylation (10–20 %) in the liver of the low-protein offspring compared with controls, including an increase in methylation at an intergenic CpG island 50 kb upstream of the PPARα gene( Reference Carone, Fauquier and Habib 88 ). Ng et al. ( Reference Ng, Lin and Laybutt 89 ) have also shown that the IL-13 receptor α 2 promoter was hypomethylated in female offspring after high-fat feeding the fathers.

Human studies of induced epigenetic change by maternal nutrition

To date there is increasing evidence that early life nutrition can induce epigenetic alterations in human subjects. Heijmans et al. and Tobi et al., have reported DNA methylation differences in individuals who were peri-conceptually exposed to famine during the Dutch Hunger Winter( Reference Tobi, Lumey and Talens 90 , Reference Heijmans, Tobi and Stein 91 ). They found a decrease in the methylation of the imprinted IGF-2 gene and increases in the methylation of IL-10, leptin, ATP-binding cassette A1, guanine nucleotide-binding protein genes in genomic DNA isolated from whole blood cells from individuals who were exposed to famine in utero compared with unexposed same-sex siblings( Reference Heijmans, Tobi and Stein 91 ). Periconceptual folic acid supplementation (400 μg/d) has also been shown to alter the methylation of five CpG in the IGF-2 differentially methylated region in children from the folic-acid-supplemented mothers( Reference Steegers-Theunissen, Obermann-Borst and Kremer 92 ).

One implication from these human and animal studies is that perturbations in early life nutrition can induce changes in the epigenetic regulation of genes, which then persist throughout the life-course leading to alterations in metabolism and disease risk, suggesting that it may be possible to detect such epigenetic changes in early life and use these to predict later metabolic capacity and future disease risk. Recently, Godfrey et al. ( Reference Godfrey, Sheppard and Gluckman 93 ), reported that epigenetic marks measured in umbilical cord tissue at birth can predict phenotypic outcomes in later childhood. In two independent cohorts, the epigenetic state of a single CpG site in the promoter region of the transcription factor, the retinoid X receptor α, was found to be strongly associated with childhood adiposity in both boys and girls; taking account of sex, retinoid X receptor α promoter methylation explained over a fifth of the variance in childhood fat mass. This suggests that a far greater proportion of individual vulnerability to non-communicable diseases may arise in development than has previously been considered.

Epigenome is also susceptible to nutritional factors in later life

There is also growing evidence that the period of epigenetic susceptibility may extend into postnatal life. Plagemann et al. ( Reference Plagemann, Harder and Brunn 94 ) showed that neonatal overfeeding induced by raising rat pups in small litters induces the hypermethylation of two CpG dinucleotides within the proopiomelanocortin promoter which are essential for proopiomelanocortin induction by leptin and insulin. A number of groups have also shown that folic acid supplementation in the juvenile–pubertal period induces both epigenetic and phenotypic changes. For instance Burdge et al. ( Reference Burdge, Lillycrop and Phillips 95 ) showed that folic acid supplementation during the juvenile–pubertal period induced the hypermethylation of the PPARα gene, this was accompanied by a decrease in PPARα expression and levels of β oxidation, whereas Ly et al. ( Reference Ly, Lee and Chen 96 ) showed that folic acid supplementation during this period led to an increased risk of mammary adenocarcinomas and a decrease in DNMT activity.

There is now evidence that even in adulthood there is some plasticity of the epigenome. Waterland and Jirtle( Reference Waterland, Lin and Smith 97 ), have shown that feeding a diet deficient in methyl donors to post-weaning mice led to the permanent loss of IGF-2 imprinting and dysregulation of IGF-2 expression. Feeding a diet deficient in methyl group donors (choline, folate, methionine and vitamin B12) for only a 4-week period in rats induced the hypomethylation of the proto-oncogenes c-myc, c-fos and c-ras. Moreover, this effect persisted 3 weeks after refeeding( Reference Christman, Sheikhnejad and Dizik 98 ). Keyes et al. ( Reference Keyes, Jang and Mason 99 ) have also shown that folic acid supplementation given for 20 weeks led to an increase in p16INK4a methylation but interestingly only in the 18-month-old mice and not in the 4-month-old mice.

Macronutrient intake during adulthood can also influence the epigenome. Hoile et al. ( Reference Hoile, Irvine and Kelsall 100 ) showed that feeding adult rats a fish-oil-enriched diet for 9 weeks led to a transient increase in the methylation of CpG loci within the promoter of the fatty acid desaturase 2 gene and a decrease in fatty acid desaturase 2 expression. These effects were reversed by feeding a standard diet for a further 4 weeks. Calorie restriction during adulthood has also been reported to induce changes in DNA methylation. Interestingly, calorie restriction has been shown in many short-lived species to increase life span, and to delay a range of age-associated diseases in higher mammals( Reference Cruzen and Colman 101 , Reference Holloszy and Fontana 102 ). The precise mechanisms of calorie restriction-induced longevity are unclear and may involve a range of mechanisms( Reference Guarente and Picard 103 ) including DNA methylation. For instance, calorie restriction has been associated with a decrease in H-ras and p16INK4a methylation( Reference Hass, Hart and Lu 104 ) and an increase in DNMT1 activity( Reference Chouliaras, van den Hove and Kenis 105 , Reference Li, Liu and Tollefsbol 106 ) potentially affecting/reversing the global hypomethylation seen in ageing cells.

Future directions

These studies show that DNA methylation is highly dynamic, and responsive to the environment. DNA methylation permits different phenotypes to be generated from a single genome, allowing an organism to adapt to its environment by modulating the expression of its genes and the processes that they control. The epigenome appears to be most susceptible to environmental factors in early life when the methylation marks are being established; it is also clear that the environment can alter DNA methylation even in adulthood, suggesting that these epigenetic processes function as part of a lifelong adaptation mechanism. However despite the fact that the epigenome is highly dynamic, it is at the same time strictly controlled ensuring tissue-specific and cell-specific gene expression. What makes one CpG stable and another susceptible to environmental influence is not known nor are the pathways leading from the nutritional cue to a DNA methylation change. However, it is likely that histone modifications as well as non-coding RNA may well be part of this response.

Ageing results in epigenetic changes induced by both environmental and stochastic factors. To date stochastic variation in DNA methylation has been difficult to study due to the lack of single-cell technology to investigate methylation changes at such a level, however with increasing technological advances this should become possible. It will be important to establish the cause and effect relationship between ageing and such epigenetic changes. What is the effect of accumulating stochastic epigenetic changes on tissue function? How does the environment influence such changes? If we can begin to answer some of these questions this will potentially allow the development of novel epigenetic-based preventative and intervention strategies to decrease ageing-associated diseases and increase well-being in later life.



Financial Support

This work was funded in part by the European Commission, ‘Integrated Research on Developmental Determinants of Aging and Longevity (IDEAL)’, 7th Framework Programme, HEALTH-F2-2011-259679.

Conflicts of Interest



K. A. L. and G. C. B. wrote the initial draft. L. G. and S. H. provided corrections and comments. All authors have read and approved the final manuscript.


1. Rakyan, VK, Down, TA, Maslau, S et al. (2010) Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains. Genome Res 20, 434439.CrossRefGoogle ScholarPubMed
2. Rodriguez-Rodero, S, Fernandez-Morera, JL, Menendez-Torre, E et al. (2011) Aging genetics and aging. Aging Dis 2, 186195.Google ScholarPubMed
3. Bird, A (2002) DNA methylation patterns and epigenetic memory. Genes Dev 16, 621.CrossRefGoogle ScholarPubMed
4. Bird, A (1992) The essentials of DNA methylation. Cell 70, 58.CrossRefGoogle ScholarPubMed
5. Bird, A (2001) Molecular biology. Methylation talk between histones and DNA. Science 294, 21132115.CrossRefGoogle ScholarPubMed
6. Fuks, F, Hurd, PJ, Wolf, D et al. (2003) The methyl-CpG-binding protein MeCP2 links DNA methylation to histone methylation. J Biol Chem 278, 40354040.CrossRefGoogle ScholarPubMed
7. Reik, W & Walter, J (2001) Genomic imprinting: parental influence on the genome. Nat Rev Genet 2, 2132.CrossRefGoogle ScholarPubMed
8. Walsh, CP, Chaillet, JR & Bestor, TH (1998) Transcription of IAP endogenous retroviruses is constrained by cytosine methylation. Nat Genet 20, 116117.CrossRefGoogle ScholarPubMed
9. Waterland, RA & Jirtle, RL (2003) Transposable elements: targets for early nutritional effects on epigenetic gene regulation. Mol Cell Biol 23, 52935300.CrossRefGoogle ScholarPubMed
10. Reik, W, Dean, W & Walter, J (2001) Epigenetic reprogramming in mammalian development. Science 293, 10891093.CrossRefGoogle ScholarPubMed
11. Reik, W, Santos, F & Dean, W (2003) Mammalian epigenomics: reprogramming the genome for development and therapy. Theriogenology 59, 2132.CrossRefGoogle ScholarPubMed
12. Okano, M, Bell, DW, Haber, DA et al. (1999) DNA methyltransferases DNMT3a and DNMT3b are essential for de novo methylation and mammalian development. Cell 99, 247257.CrossRefGoogle Scholar
13. Bacolla, A, Pradhan, S, Roberts, RJ et al. (1999) Recombinant human DNA (cytosine-5) methyltransferase. II. Steady-state kinetics reveal allosteric activation by methylated DNA. J Biol Chem 274, 3301133019.CrossRefGoogle ScholarPubMed
14. Turner, BM (2000) Histone acetylation and an epigenetic code. Bioessays 22, 836845.3.0.CO;2-X>CrossRefGoogle ScholarPubMed
15. Brenner, C & Fuks, F (2007) A methylation rendezvous: reader meets writers. Dev Cell 12, 843844.CrossRefGoogle ScholarPubMed
16. Nakayama, J, Rice, JC, Strahl, BD et al. (2001) Role of histone H3 lysine 9 methylation in epigenetic control of heterochromatin assembly. Science 292, 110113.CrossRefGoogle ScholarPubMed
17. Strahl, BD, Ohba, R, Cook, RG et al. (1999) Methylation of histone H3 at lysine 4 is highly conserved and correlates with transcriptionally active nuclei in Tetrahymena. Proc Natl Acad Sci USA 96, 1496714972.CrossRefGoogle ScholarPubMed
18. Lachner, M, O'Carroll, D, Rea, S et al. (2001) Methylation of histone H3 lysine 9 creates a binding site for HP1 proteins. Nature 410, 116120.CrossRefGoogle ScholarPubMed
19. Fuks, F, Burgers, WA, Brehm, A et al. (2000) DNA methyltransferase Dnmt1 associates with histone deacetylase activity. Nat Genet 24, 8891.CrossRefGoogle ScholarPubMed
20. Rountree, MR, Bachman, KE & Baylin, SB (2000) DNMT1 binds HDAC2 and a new co-repressor, DMAP1, to form a complex at replication foci. Nat Genet 25, 269277.CrossRefGoogle Scholar
21. Vire, E, Brenner, C, Deplus, R et al. (2006) The Polycomb group protein EZH2 directly controls DNA methylation. Nature 439, 871874.CrossRefGoogle ScholarPubMed
22. Scott, JM & Weir, DG (1998) Folic acid, homocysteine and one-carbon metabolism: a review of the essential biochemistry. J Cardiovasc Risk 5, 223227.CrossRefGoogle ScholarPubMed
23. Ooi, SK & Bestor, TH (2008) The colorful history of active DNA demethylation. Cell 133, 11451148.CrossRefGoogle ScholarPubMed
24. Miller, CA & Sweatt, JD (2007) Covalent modification of DNA regulates memory formation. Neuron 53, 857869.CrossRefGoogle ScholarPubMed
25. Kersh, EN, Fitzpatrick, DR, Murali-Krishna, K et al. (2006) Rapid demethylation of the IFN-gamma gene occurs in memory but not naive CD8T cells. J Immunol 176, 40834093.CrossRefGoogle ScholarPubMed
26. Tahiliani, M, Koh, KP, Shen, Y et al. (2009) Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1. Science 324, 930935.CrossRefGoogle ScholarPubMed
27. Ito, S, D'Alessio, AC, Taranova, OV et al. (2010) Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification. Nature 466, 11291133.CrossRefGoogle ScholarPubMed
28. Bhattacharya, SK, Ramchandani, S, Cervoni, N et al. (1999) A mammalian protein with specific demethylase activity for mCpG DNA. Nature 397, 579583.CrossRefGoogle ScholarPubMed
29. Zhu, B, Zheng, Y, Angliker, H et al. (2000) 5-Methylcytosine DNA glycosylase activity is also present in the human MBD4 (G/T mismatch glycosylase) and in a related avian sequence. Nucleic Acids Res 28, 41574165.CrossRefGoogle Scholar
30. Barreto, G, Schafer, A, Marhold, J et al. (2007) Gadd45a promotes epigenetic gene activation by repair-mediated DNA demethylation. Nature 445, 671675.CrossRefGoogle ScholarPubMed
31. Jost, JP (1993) Nuclear extracts of chicken embryos promote an active demethylation of DNA by excision repair of 5-methyldeoxycytidine. Proc Natl Acad Sci USA 90, 46844688.CrossRefGoogle ScholarPubMed
32. Berdyshev, GD, Korotaev, GK, Boiarskikh, GV et al. (1967) Nucleotide composition of DNA and RNA from somatic tissues of humpback and its changes during spawning. Biokhimiia 32, 988993.Google ScholarPubMed
33. Bollati, V, Schwartz, J, Wright, R et al. (2009) Decline in genomic DNA methylation through aging in a cohort of elderly subjects. Mech Ageing Dev 130, 234239.CrossRefGoogle Scholar
34. Drinkwater, RD, Blake, TJ, Morley, AA et al. (1989) Human lymphocytes aged in vivo have reduced levels of methylation in transcriptionally active and inactive DNA. Mutat Res 219, 2937.CrossRefGoogle ScholarPubMed
35. Singhal, RP, Mays-Hoopes, LL & Eichhorn, GL (1987) DNA methylation in aging of mice. Mech Ageing Dev 41, 199210.CrossRefGoogle Scholar
36. Casillas, MA Jr, Lopatina, N, Andrews, LG et al. (2003) Transcriptional control of the DNA methyltransferases is altered in aging and neoplastically-transformed human fibroblasts. Mol Cell Biochem 252, 3343.CrossRefGoogle ScholarPubMed
37. Issa, JP, Ottaviano, YL, Celano, P et al. (1994) Methylation of the oestrogen receptor CpG island links ageing and neoplasia in human colon. Nat Genet 7, 536540.CrossRefGoogle ScholarPubMed
38. Ahuja, N & Issa, JP (2000) Aging, methylation and cancer. Histol Histopathol 15, 835842.Google ScholarPubMed
39. Kang, GH, Lee, S, Kim, JS et al. (2003) Profile of aberrant CpG island methylation along the multistep pathway of gastric carcinogenesis. Lab Investig J Techn Methods Pathol 83, 635641.CrossRefGoogle ScholarPubMed
40. Chen, YL, Ko, CJ, Lin, PY et al. (2012) Clustered DNA methylation changes in polycomb target genes in early-stage liver cancer. Biochem Biophys Res Commun 425, 290296.CrossRefGoogle ScholarPubMed
41. Feinberg, AP, Irizarry, RA, Fradin, D et al. (2010) Personalized epigenomic signatures that are stable over time and covary with body mass index. Sci Transl Med 2, 49ra67.CrossRefGoogle ScholarPubMed
42. Bjornsson, HT, Sigurdsson, MI, Fallin, MD et al. (2008) Intra-individual change over time in DNA methylation with familial clustering. J Am Med Assoc 299, 28772883.CrossRefGoogle ScholarPubMed
43. Bell, JT & Spector, TD (2011) A twin approach to unraveling epigenetics. Trends Genet 27, 116125.CrossRefGoogle ScholarPubMed
44. Fraga, MF, Ballestar, E, Paz, MF et al. (2005) Epigenetic differences arise during the lifetime of monozygotic twins. Proc Natl Acad Sci USA 102, 1060410609.CrossRefGoogle ScholarPubMed
45. Talens, RP, Boomsma, DI, Tobi, EW et al. (2010) Variation, patterns, and temporal stability of DNA methylation: considerations for epigenetic epidemiology. FASEB J 24, 31353144.CrossRefGoogle ScholarPubMed
46. Bocklandt, S, Lin, W, Sehl, ME et al. (2011) Epigenetic predictor of age. PloS ONE 6, e14821.CrossRefGoogle ScholarPubMed
47. Ollikainen, M & Craig, JM (2011) Epigenetic discordance at imprinting control regions in twins. Epigenomics 3, 295306.CrossRefGoogle ScholarPubMed
48. Gordon, L, Joo, JE, Powell, JE et al. (2012) Neonatal DNA methylation profile in human twins is specified by a complex interplay between intrauterine environmental and genetic factors, subject to tissue-specific influence. Genome Res 22, 13951406.CrossRefGoogle ScholarPubMed
49. Dang, W, Steffen, KK, Perry, R et al. (2009) Histone H4 lysine 16 acetylation regulates cellular lifespan. Nature 459, 802807.CrossRefGoogle ScholarPubMed
50. Shogren-Knaak, M, Ishii, H, Sun, JM et al. (2006) Histone H4-K16 acetylation controls chromatin structure and protein interactions. Science 311, 844847.CrossRefGoogle ScholarPubMed
51. Pina, B, Martinez, P & Suau, P (1988) Differential acetylation of core histones in rat cerebral cortex neurons during development and aging. Eur J Biochem/FEBS 174, 311315.CrossRefGoogle ScholarPubMed
52. O'Sullivan, RJ, Kubicek, S, Schreiber, SL et al. (2010) Reduced histone biosynthesis and chromatin changes arising from a damage signal at telomeres. Nat Struc Mol Biol 17, 12181225.CrossRefGoogle ScholarPubMed
53. Chen, H, Gu, X, Su, IH et al. (2009) Polycomb protein Ezh2 regulates pancreatic β-cell Ink4a/Arf expression and regeneration in diabetes mellitus. Genes Dev 23, 975985.CrossRefGoogle ScholarPubMed
54. Sarg, B, Koutzamani, E, Helliger, W et al. (2002) Postsynthetic trimethylation of histone H4 at lysine 20 in mammalian tissues is associated with aging. J Biol Chem 277, 3919539201.CrossRefGoogle ScholarPubMed
55. Biron, VL, McManus, KJ, Hu, N et al. (2004) Distinct dynamics and distribution of histone methyl-lysine derivatives in mouse development. Dev Biol 276, 337351.CrossRefGoogle ScholarPubMed
56. Villeponteau, B (1997) The heterochromatin loss model of aging. Exp Gerontol 32, 383394.CrossRefGoogle Scholar
57. Zhang, R, Poustovoitov, MV, Ye, X et al. (2005) Formation of MacroH2A-containing senescence-associated heterochromatin foci and senescence driven by ASF1a and HIRA. Dev Cell 8, 1930.CrossRefGoogle ScholarPubMed
58. Shumaker, DK, Dechat, T, Kohlmaier, A et al. (2006) Mutant nuclear lamin A leads to progressive alterations of epigenetic control in premature aging. Proc Natl Acad Sci USA 103, 87038708.CrossRefGoogle ScholarPubMed
59. Kaeberlein, M, McVey, M & Guarente, L (1999) The SIR2/3/4 complex and SIR2 alone promote longevity in Saccharomyces cerevisiae by two different mechanisms. Genes Dev 13, 25702580.CrossRefGoogle ScholarPubMed
60. Sommer, M, Poliak, N, Upadhyay, S et al. (2006) DeltaNp63alpha overexpression induces downregulation of Sirt1 and an accelerated aging phenotype in the mouse. Cell Cycle 5, 20052011.CrossRefGoogle ScholarPubMed
61. Blander, G & Guarente, L (2004) The Sir2 family of protein deacetylases. Annu Rev Biochem 73, 417435.CrossRefGoogle ScholarPubMed
62. Feser, J & Tyler, J (2011) Chromatin structure as a mediator of aging. FEBS Lett 585, 20412048.CrossRefGoogle Scholar
63. Feinberg, AP & Vogelstein, B (1983) Hypomethylation distinguishes genes of some human cancers from their normal counterparts. Nature 301, 8992.CrossRefGoogle ScholarPubMed
64. Feinberg, AP & Tycko, B (2004) The history of cancer epigenetics. Nat Rev Cancer 4, 143153.CrossRefGoogle ScholarPubMed
65. Fraga, MF, Herranz, M, Espada, J et al. (2004) A mouse skin multistage carcinogenesis model reflects the aberrant DNA methylation patterns of human tumors. Cancer Res 64, 55275534.CrossRefGoogle ScholarPubMed
66. Eden, A, Gaudet, F, Waghmare, A et al. (2003) Chromosomal instability and tumors promoted by DNA hypomethylation. Science 300, 455.CrossRefGoogle ScholarPubMed
67. Esteller, M (2008) Epigenetics in cancer. N Engl J Med 358, 11481159.CrossRefGoogle Scholar
68. Esteller, M, Corn, PG, Baylin, SB et al. (2001) A gene hypermethylation profile of human cancer. Cancer Res 61, 32253229.Google ScholarPubMed
69. Dejeux, E, Ronneberg, JA, Solvang, H et al. (2010) DNA methylation profiling in doxorubicin treated primary locally advanced breast tumours identifies novel genes associated with survival and treatment response. Mol Cancer 9, 68.CrossRefGoogle ScholarPubMed
70. Rush, M, Appanah, R, Lee, S et al. (2009) Targeting of EZH2 to a defined genomic site is sufficient for recruitment of Dnmt3a but not de novo DNA methylation. Epigenetics 4, 404414.CrossRefGoogle Scholar
71. Ohm, JE, McGarvey, KM, Yu, X et al. (2007) A stem cell-like chromatin pattern may predispose tumor suppressor genes to DNA hypermethylation and heritable silencing. Nat Genet 39, 237242.CrossRefGoogle ScholarPubMed
72. Collado, M, Blasco, MA & Serrano, M (2007) Cellular senescence in cancer and aging. Cell 130, 223233.CrossRefGoogle ScholarPubMed
73. Sharpless, NE & DePinho, RA (2007) How stem cells age and why this makes us grow old. Nat Rev Mol Cell Biol 8, 703713.CrossRefGoogle ScholarPubMed
74. Janzen, V, Forkert, R, Fleming, HE et al. (2006) Stem-cell ageing modified by the cyclin-dependent kinase inhibitor p16INK4a. Nature 443, 421426.CrossRefGoogle ScholarPubMed
75. Bracken, AP, Kleine-Kohlbrecher, D, Dietrich, N et al. (2007) The Polycomb group proteins bind throughout the INK4A-ARF locus and are disassociated in senescent cells. Genes Dev 21, 525530.CrossRefGoogle ScholarPubMed
76. Bracken, AP & Helin, K (2009) Polycomb group proteins: navigators of lineage pathways led astray in cancer. Nat Rev Cancer 9, 773784.CrossRefGoogle Scholar
77. Petronis, A (2006) Epigenetics and twins: three variations on the theme. Trends Genet 22, 347350.CrossRefGoogle ScholarPubMed
78. Bahar, R, Hartmann, CH, Rodriguez, KA et al. (2006) Increased cell-to-cell variation in gene expression in ageing mouse heart. Nature 441, 10111014.CrossRefGoogle ScholarPubMed
79. Godfrey, KM & Barker, DJ (2001) Fetal programming and adult health. Public Health Nutr 4, 611624.CrossRefGoogle ScholarPubMed
80. Gluckman, PD, Hanson, MA & Pinal, C (2005) The developmental origins of adult disease. Matern Child Nutr 1, 130141.CrossRefGoogle ScholarPubMed
81. Maleszka, R (2008) Epigenetic integration of environmental and genomic signals in honey bees. Epigenetics 3, 188192.CrossRefGoogle ScholarPubMed
82. Kucharski, R, Maleszka, J, Foret, S et al. (2008) Nutritional control of reproductive status in honeybees via DNA methylation. Science 319, 18271830.CrossRefGoogle ScholarPubMed
83. Wolff, GL, Kodell, RL, Moore, SR et al. (1998) Maternal epigenetics and methyl supplements affect agouti gene expression in Avy/a mice. FASEB J 12, 949957.CrossRefGoogle ScholarPubMed
84. Lillycrop, KA, Phillips, ES, Jackson, AA et al. (2005) Dietary protein restriction of pregnant rats induces and folic acid supplementation prevents epigenetic modification of hepatic gene expression in the offspring. J Nutr 135, 13821386.CrossRefGoogle ScholarPubMed
85. Lillycrop, KA, Slater-Jefferies, JL, Hanson, MA et al. (2007) Induction of altered epigenetic regulation of the hepatic glucocorticoid receptor in the offspring of rats fed a protein-restricted diet during pregnancy suggests that reduced DNA methyltransferase-1 expression is involved in impaired DNA methylation and changes in histone modifications. Br J Nutr 97, 10641073.CrossRefGoogle ScholarPubMed
86. Lillycrop, KA, Phillips, ES, Torrens, C et al. (2008) Feeding pregnant rats a protein-restricted diet persistently alters the methylation of specific cytosines in the hepatic PPARα promoter of the offspring. Br J Nutr 100, 278282.CrossRefGoogle ScholarPubMed
87. Gluckman, PD, Lillycrop, KA, Vickers, MH et al. (2007) Metabolic plasticity during mammalian development is directionally dependent on early nutritional status. Proc Natl Acad Sci USA 104, 1279612800.CrossRefGoogle ScholarPubMed
88. Carone, BR, Fauquier, L, Habib, N et al. (2010) Paternally induced transgenerational environmental reprogramming of metabolic gene expression in mammals. Cell 143, 10841096.CrossRefGoogle ScholarPubMed
89. Ng, SF, Lin, RC, Laybutt, DR et al. (2010) Chronic high-fat diet in fathers programs β-cell dysfunction in female rat offspring. Nature 467, 963966.CrossRefGoogle ScholarPubMed
90. Tobi, EW, Lumey, LH, Talens, RP et al. (2009) DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific. Hum Mol Genet 18, 40464053.CrossRefGoogle ScholarPubMed
91. Heijmans, BT, Tobi, EW, Stein, AD et al. (2008) Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci USA 105, 1704617049.CrossRefGoogle ScholarPubMed
92. Steegers-Theunissen, RP, Obermann-Borst, SA, Kremer, D et al. (2009) Periconceptional maternal folic acid use of 400 microg per day is related to increased methylation of the IGF2 gene in the very young child. PLoS ONE 4, e7845.CrossRefGoogle Scholar
93. Godfrey, KM, Sheppard, A, Gluckman, PD et al. (2011) Epigenetic gene promoter methylation at birth is associated with child's later adiposity. Diabetes 60, 15281534.CrossRefGoogle ScholarPubMed
94. Plagemann, A, Harder, T, Brunn, M et al. (2009) Hypothalamic proopiomelanocortin promoter methylation becomes altered by early overfeeding: an epigenetic model of obesity and the metabolic syndrome. J Physiol 587, 49634976.CrossRefGoogle ScholarPubMed
95. Burdge, GC, Lillycrop, KA, Phillips, ES et al. (2009) Folic acid Supplementation during the juvenile–pubertal period in rats modifies the phenotype and epigenotype induced by prenatal nutrition. J Nutr 139, 10541060.CrossRefGoogle ScholarPubMed
96. Ly, A, Lee, H, Chen, J et al. (2011) Effect of maternal and postweaning folic acid supplementation on mammary tumor risk in the offspring. Cancer Res 71, 988997.CrossRefGoogle ScholarPubMed
97. Waterland, RA, Lin, JR, Smith, CA et al. (2006) Post-weaning diet affects genomic imprinting at the insulin-like growth factor 2 (Igf2) locus. Hum Mol Genet 15, 705716.CrossRefGoogle ScholarPubMed
98. Christman, JK, Sheikhnejad, G, Dizik, M et al. (1993) Reversibility of changes in nucleic acid methylation and gene expression induced in rat liver by severe dietary methyl deficiency. Carcinogenesis 14, 551557.CrossRefGoogle ScholarPubMed
99. Keyes, MK, Jang, H, Mason, JB et al. (2007) Older age and dietary folate are determinants of genomic and p16-specific DNA methylation in mouse colon. J Nutr 137, 17131717.CrossRefGoogle ScholarPubMed
100. Hoile, SP, Irvine, NA, Kelsall, CJ et al. (2013) Maternal fat intake in rats alters 20:4n-6 and 22:6n-3 status and the epigenetic regulation of FADS2 in offspring liver. J Nutr Biochem 24, 12131220.CrossRefGoogle ScholarPubMed
101. Cruzen, C & Colman, RJ (2009) Effects of caloric restriction on cardiovascular aging in non-human primates and humans. Clin Geriatr Med 25, 733743, ix–x.CrossRefGoogle ScholarPubMed
102. Holloszy, JO & Fontana, L (2007) Caloric restriction in humans. Exp Gerontol 42, 709712.CrossRefGoogle ScholarPubMed
103. Guarente, L & Picard, F (2005) Calorie restriction – the SIR2 connection. Cell 120, 473482.CrossRefGoogle ScholarPubMed
104. Hass, BS, Hart, RW, Lu, MH et al. (1993) Effects of caloric restriction in animals on cellular function, oncogene expression, and DNA methylation in vitro . Mutat Res 295, 281289.CrossRefGoogle ScholarPubMed
105. Chouliaras, L, van den Hove, DL, Kenis, G et al. (2011) Caloric restriction attenuates age-related changes of DNA methyltransferase 3a in mouse hippocampus. Brain, Behav Immun 25, 616623.CrossRefGoogle ScholarPubMed
106. Li, Y, Liu, L & Tollefsbol, TO (2010) Glucose restriction can extend normal cell lifespan and impair precancerous cell growth through epigenetic control of hTERT and p16 expression. FASEB J 24, 14421453.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. (colour online) Ageing-associated changes in DNA methylation are induced by both stochastic and environmental factors. These factors can influence the epigenome throughout the life course, although the epigenome is most susceptible to environmental factors such as nutrition in early life.

You have Access
Cited by