Skip to main content
AIMS Neuroscience logoLink to AIMS Neuroscience
. 2021 Jul 15;8(4):448–476. doi: 10.3934/Neuroscience.2021024

Nutrition and cognition across the lifetime: an overview on epigenetic mechanisms

Arianna Polverino 1,2, Pierpaolo Sorrentino 3,4, Matteo Pesoli 2, Laura Mandolesi 5,*
PMCID: PMC8611190  PMID: 34877399

Abstract

The functioning of our brain depends on both genes and their interactions with environmental factors. The close link between genetics and environmental factors produces structural and functional cerebral changes early on in life. Understanding the weight of environmental factors in modulating neuroplasticity phenomena and cognitive functioning is relevant for potential interventions. Among these, nutrition plays a key role. In fact, the link between gut and brain (the gut-brain axis) is very close and begins in utero, since the Central Nervous System (CNS) and the Enteric Nervous System (ENS) originate from the same germ layer during the embryogenesis. Here, we investigate the epigenetic mechanisms induced by some nutrients on the cognitive functioning, which affect the cellular and molecular processes governing our cognitive functions. Furthermore, epigenetic phenomena can be positively affected by specific healthy nutrients from diet, with the possibility of preventing or modulating cognitive impairments. Specifically, we described the effects of several nutrients on diet-dependent epigenetic processes, in particular DNA methylation and histones post-translational modifications, and their potential role as therapeutic target, to describe how some forms of cognitive decline could be prevented or modulated from the early stages of life.

Keywords: nutrition, cognitive functioning, environmental factors, epigenetics, neuroplasticity

1. Introduction

Complex interactions between genetic and environmental factors are needed for the correct functioning of the human brain [1]. The brain continuously elaborates information coming from the environment. It has been demonstrated that experience shapes brain structure and function, determining neuroplasticity phenomena such as neurogenesis, synaptogenesis, and spinogenesis [2][4].

Given the great influence of environmental factors in modulating plasticity processes, many researchers have focused on how these factors affect cognition [5]. Although there is evidence showing how levels of education, lifestyle (i.e. level of stress, quality of sleep, smoking, etc), social relations (i.e. affections and friendships), and motor activity (i.e. physical exercise) induce positive effects on cognitive functioning [6],[7], a growing body of literature demonstrated that also eating habits (i.e. nutrient intake) induce structural and functional changes in the brain, affecting cognition [8][10].

In this context, a healthy diet counterbalances age-related cognitive decline. In fact, diet has a positive impact on cognitive functions, by modulating a wide range of biological mechanisms such as neuronal cell membrane fluidity, synaptic plasticity, neuroinflammation, oxidative stress, neuroprotection and neurogenesis. Furthermore, these processes are not limited to adulthood, bur start early on during the embryonic development [10].

To better understand the link between dietary nutrients and the brain, one needs to take into account that the interactions between the gut and the brain begin during gestation. In fact, fetal neurodevelopment is a complex process depending, among other things, on environmental factors and molecular signals coming from the maternal microbiome. The latter plays a role in neurogenerative processes, such as blood-brain barrier formation, myelination, neurogenesis and glia maturation [11]. The maternal intestinal microbiome can affect the neurodevelopment, the microbiome and the behavior of the offspring, both in animal models [12] and humans [13].

Among eating habits with long-term beneficial effects, the Mediterranean diet plays a dual role. On the one hand, the Mediterranean diet can reduce the risk of cardiovascular diseases, cancer, diabetes and metabolic disorders [14][16]. On the other hand, it improves cognitive functions by preventing neuropathological processes such as mild cognitive impairments (MCI) [17], counteracting impairment in motor, executive, attention, memory, language and visuospatial functions characterizing Parkinson's disease (PD) [18], and other forms of dementia [19]. In fact, such diet is rich in antioxidant molecules due to its content in fruit, vegetables and olive oil [20], and in anti-inflammatory nutrients such as n-3 polyunsaturated fatty acids (n-3 PUFAs), from fish and olive oil [21], and in fibers, contained in fruit and vegetables [22],[23].

Several nutrients from the Mediterranean diet play a role in neuroprotection and prevention of neuronal diseases. For example, it was already known that n-3 PUFAs have a neuroprotective role, since n-3 PUFAs-enriched diets counteract age-related neurodegeneration, increase hippocampal neurogenesis, neuronal and microglia cells density and dendritic arborization of neurons, and reduce apoptosis, astrocytosis and lipofuscin accumulation in both animal models and humans [9],[24][27]. This is because n-3 PUFAs are able to improve neurotransmission and cell signaling through growing neuronal cell membrane fluidity, increased receptor number and ionic channels functionality [28][30]. Docosahexanoic acid (DHA) is the most abundant among the n-3 PUFAs in the brain cell membranes [31]. For this reason, its intake through the consumption of fish has been fundamental for encephalization during the human evolution [32]. Furthermore, n-3 PUFAs deficiency leads to impaired learning and memory in rodents [33],[34], while it increases the risk of several mental disorders in humans, such as dementia, depression, bipolar disorder and schizophrenia [35][37].

Polyphenols, such as curcumin, resveratrol and flavonoids also play an anti-inflammatory and neuroprotective role [38],[39], improving cognitive functions [40],[41] such as spatial working memory, in association with an increased expression of the Brain-Derived Neurotrophic Factor (BDNF) in animal models [42]. Furthermore, they are associated with better evolution of the cognitive performance over time in the elderly [43].

Vitamins B also play an important role in improving cognitive functions in both animal models and human. For example, vitamin B12 counteracts cognitive impairment in rats fed a choline-deficient diet [44], while it was demonstrated that vitamins B6, B12 and folate have positive effects on memory performance in women of different ages [45]. Vitamins B deficiency, and the resulting hyper-homocysteinemia, may affect cognition with loss of total brain volume and cognitive and memory decline [46],[47], through pathways involving redox potentials with altered calcium influx, tau protein and beta-amyloid accumulation, which are associated with AD pathogenesis [48][50], apoptosis and neuronal death [51].

Together with vitamins B, vitamins D and E play an important role in preserving cognition in the elderly, counteracting cognitive impairment [52][54]. In fact, a severe vitamin D deficiency significantly increases the risk of developing AD and other forms of dementia [55].

Taking into account all these evidence, we set out to investigate the effects of some nutrients on cognition, since the link between gut and brain (the gut-brain axis) is very close and begins in utero, moreover the Central Nervous System (CNS) and the Enteric Nervous System (ENS) originate from the same tissues during the embryonic development [11],[56]. In fact, it is known that human intestinal microbes regulate the elements of the gut-brain axis through immunological, endocrine and neuronal mechanisms [57],[58]. Gastrointestinal disorders, and the consequent gut-brain axis dysregulation, can lead to neurodegenerative diseases [59]. The variety of the microbiota plays a fundamental role in maintaining intestinal permeability, in order to avoid the absorption of toxic substances and the release of pro-inflammatory cytokines (i.e. the tumor necrosis factor-α and the interleukin-6) that may reach the brain and promote neuroinflammation associated with neurodegeneration [60][62].

However, while cellular and molecular mechanisms underlying the interaction between nutrition and its effects on brain functions have been widely investigated [63][66], we still know little about the epigenetic mechanisms behind these phenomena. For this reason, we have decided to investigate these mechanisms since they affect cellular and molecular phenomena governing the link between nutrition and cognitive functioning. Furthermore, a healthy diet can modulate epigenetic phenomena, opening up the possibility of preventing or modulating cognitive impairments.

Specifically, the term “epigenetics” refers to all those mechanisms regulating gene expression, maintaining the nucleotide sequence of DNA unchanged. During human normal aging, an unhealthy nutrition, together with a sedentary lifestyle, may cause deleterious epigenetic modifications during the whole life, inducing the expression of specific genes [67], which could strongly influence the metabolism and brain homeostasis.

The goal of this review is to describe how nutrition may affect cognitive functions over time through epigenetic mechanisms. In particular, we are interested in illustrating the main diet-dependent epigenetic phenomena (Table 1) since they play an essential role in the regulation of both physiological and pathological processes and in the neuronal reorganization or restructuring processes, including brain plasticity [68].

Table 1. Schematic illustration of the main diet-dependent epigenetic mechanisms reported in the text.

Epigenetic mechanism Enzymes/processes involved Effects on gene expression
DNA methylation
The donation of a methyl group from a S-adenosyl-methionine (SAM) molecule to the position 5′ of the cytosine in CpG dinucleotide.
DNA methyl-transferases (DNMTs):

DNMT1: maintenance of the methylation pattern after DNA replication.

DNMT3a, DNMT3b: de novo methylation.
In the promoter of target genes:

Hypermethylation: repression of gene expression.

Hypomethylation: activation of gene expression.
Histone modifications

The transfer of acetyl or methyl groups to lysine (Lys) and arginine (Arg) residues of histone proteins.
Histone acetyl-transferases (HATs): acetylation on Lys residues.

Histone methyl-transferares (HMTs): methylation on Lys/Arg residues.
Histone acetylation: activation of gene expression.

Histone methylation: activation/repression of gene expression.

Therefore, we investigate the relationship between the main diet-dependent epigenetic mechanisms, such as DNA methylation and post-translational modifications of histone proteins, and cognition. The topics are discussed in both humans and animal models, from embryonic development to adulthood (Table 2). In particular, we focus on these processes as potential targets to analyze how some forms of cognitive decline could be prevented or delayed.

Table 2. Illustration of some dietary habits investigated in the manuscript and their effects on cognitive functioning in both human and animal models via epigenetic mechanisms.

Model Eating habits Epigenetic mechanisms Health effects References
Pregnancy and breastfeeding Human Maternal and/or paternal poor nutrition in the peri-conceptional period Decreased fetal DNA methylation, both globally and at specific loci, such as IGF-2 Effects on fetal neurodevelopment and cognitive functioning later in life [100], [101], [106]
Folate intake from maternal diet Regulation of DNA methylation through the folate-mediated one-carbon metabolism processes Neural tube formation in the fetus, preventing spina bifida [4], [116], [117]
Maternal diet during the pregnancy and offspring's nutrition during the first two years of life Several epigenetic mechanisms, mostly DNA methylation and histone modifications Role in the risk of developing metabolic, cardiovascular and neurological diseases in the offspring [62], [111]
Alcohol abuse during pregnancy Changes in the fetal epigenome Increased risk for the fetus of developing fetal alcoholic syndrome (FAS) and fetal alcohol spectrum disorders (FASD) [119], [120], [121], [125]
LCPUFAs, cholesterol and carbohydrates of breast milk Activation in the child of enzymes involved in histone post-translational modifications Immune system strengthening, synaptic plasticity, neurogenesis, neurotransmission; lower risk of developing pediatric obesity, reducing inflammation and neuroinflammation later in life [62], [140], [141], [142], [143], [147], [148]
Animal models Prenatal and postnatal alcohol exposure Alterations in both global and specific (MeCP2 locus) DNA methylation and histone modifications Developmental delay of the hippocampal dentate gyrus; alterations in the offspring's cognitive functions [126], [127], [131]
Fetal iron and zinc deficiency in rats Alterations in histone modifications and DNA methylation in Bdnf gene Effects on hippocampus [132], [133], [134], [135]
Deficiency of vitamin A during pregnancy in rats Alterations in histone acetylation mediated by RAR-α Risk of learning and memory impairments in the offspring [136]
Adulthood and aging Human Dietary fibers deriving from vegetables consumption Histone post-translational modifications SCFAs produced by fibers fermentation maintain the gut integrity, preventing pro-inflammatory cytochines release and neuroinflammation [62], [149], [150], [151], [152], [153], [154]
Vitamin D Not clear Elevated serum are positively associated with attention and working memory, while a deficiency correlates with cognitive decline and executive functions impairments [156], [157], [158], [159]
Omega-3 Not clear Role in the neuronal cell membrane fluidity, speed of signal transduction, neurotransmission, reduction of pro-inflammatory cytokines, neuroprotection against AD [143], [160], [161]
Deficiency in vitamins B6, B12 and folate SAH accumulation and hyper-homocysteinemia with alterations in DNA methylation (e.g hypo-methylation in the promoter of PSEN1 gene) Effects on cognition with loss of total brain volume and cognitive and memory decline; increasing amyloid processing, senile plaques deposition and cognitive impairment [46], [47], [51]
Vitamins A, E and C Histone acetylation Protective effects against oxidative stress and association with a decreased risk of developing AD [177]
Curcumin and EGCG With their antioxidant properties, they participate in reprogramming neurogenesis from neural stem cells and reduce some forms of age-related cognitive dysfunctions [137], [182]
Other models (animal and cell models) Folate and vitamin B12 deficiency in human neuroblastoma DNA hypo-methylation in the promoters of PSEN1 and BACE1 genes Increased gene expression with a higher production of beta-amyloid [170]
EGCG and curcumin in AD transgenic mice Not clear Reduction of inflammation and oxidative stress in the brain and in the levels of soluble beta-amyloid plaques [168]
Deficiency in vitamins B6, B12 and folate SAH accumulation and hyper-homocysteinemia with alterations in DNA methylation Effects on cognition with loss of total brain volume and cognitive and memory decline; increased amyloid processing and senile plaques deposition [173], [174]
LCPUFAs in neuroblastoma cells Changes in histone methylation and acetylation Reduced apoptosis [180]

Note: AD: Alzheimer's disease; BACE1: beta-secretase-1; BDNF: brain-derived neurotrophic factor; EGCG: epigallocatechin gallate; FAS: fetal alcoholic syndrome; FASD: fetal alcohol spectrum disorders; IGF-2: Insulin-like Growth Factor-2; LCPUFAs: long-chain polyunsaturated fatty acids; MeCP2: methyl-CpG-binding protein; PSEN1: presenilin-1; RAR-α: retinoic acid receptor-α; SAH: S-adenosyl-homocysteine.

2. Methods

This review article investigates the relationship between the main diet-dependent epigenetic mechanisms and cognitive functioning, in humans and other mammals, emphasizing eating habits as strategies to prevent or modulate cognitive decline since very early stages of life.

In this section, we focus on the definition of the research criteria and the strategy adopted to select the relevant literature. A flow chart with the selection procedure is reported in the Figure 1 and explained below.

Figure 1. Adopted research methodology. The flow chart illustrates the steps of the selection procedure.

Figure 1.

2.1. Keywords definition

In this subsection we provide a brief definition of the main keywords used in the bibliographic research in order to clarify our inclusion and exclusion criteria.

Nutrition: all those manuscripts which take into account the consequences of eating habits on health.

Cognition: we consider studies examining cognitive abilities (i.e. attention, memory, learning) in physiological and pathological conditions and the underlying biological mechanisms.

Epigenetics: all those environment-dependent mechanisms which tend to regulate gene expression, keeping the nucleotide sequence of the DNA unchanged.

Environment: we selected all those papers that take into account factors such as smoking, alcohol consumption, stress, exposure to pollutants, and all eating habits, which can negatively influence human health by acting, among others, on the epigenetic mechanisms.

Pregnancy and breastfeeding: these are two crucial stages of life that we explicitly take into consideration to evaluate the effects of maternal (and paternal) eating habits on the offspring.

Neurodegeneration: we select all those papers describing how this condition could be improved from the early stages of life.

2.2. Literature research strategy

The aim of the manuscript is to describe how nutrition may affect cognitive functions through epigenetic mechanisms in human and other mammals, from pregnancy and breastfeeding to adulthood and aging. The topic is framed as a therapeutic target to analyze how certain forms of cognitive decline could be prevented or modulated since the early stages of life.

For this purpose, a bibliographic research was performed in the PubMed database selecting the most interesting and relevant articles. In order to perform the search, the set of the keywords introduced above are applied as illustrated in Figure 2. The figure is composed of peripheral branches where each word is linked to its synonym by OR, and these branches converge in a central point (AND). By doing so, the research is carried out associating a word of a peripheral block with a word of another block.

Figure 2. Scheme of the adopted search strategy for the papers selection.

Figure 2.

2.3. Selection process

After a preliminary search, we identified 467 papers. In the first step, which involves reading the title and abstract of each article, we excluded the following manuscripts (n = 294):

  • All the manuscripts that do not focus on nutrition as main environmental factor;

  • Papers in which epigenetic mechanisms are not evaluated;

  • Studies where cognitive aspects are not evaluated.

In the second step of the bibliographic search, based on full-text reading, we adopted the following inclusion criteria:

  • All the papers that focus on eating habits, epigenetic mechanisms and cognition, analyzing these aspects in different stages of life (from embryonic development to adulthood and aging);

  • Innovative original articles/review articles;

  • Manuscripts describing studies on human and/or animal models;

  • All studies with available full-text.

In this phase of the selection process, the manuscripts were analyzed, leading to selection of 64 studies that are analyzed in this review.

3. The effects of nutrition on cognition during the lifetime: an overview on epigenetic mechanisms

The scarcity of resources has contributed to select an evolutionarily advantageous genotype over time, often referred to as the “thrifty genotype”. Such genotype favors nutrients absorption during periods of food availability. In fact, the tendency to accumulate calories as fat storage is likely adaptive during periods of scarce resources [69]. Furthermore, there was a direct relationship between the access to food and brain size, and even minor differences in the diet could have major effects on survival and reproductive success [70]. During human evolution, the development of activities such as cooking, foraging, walking or running was associated with the increasing size of the humanoid brain [71].

The “thrifty genotype” can be already activated in the fetus during pregnancy [72], since the mother's diet plays an essential role in the regulation of the epigenetic processes that might predispose the fetus to several diseases in adulthood. This phenomenon of metabolic memory, defined as the “Barker hypothesis”, shows that the in utero environment and the early postnatal life may correlate with long-term health outcomes [73].

This hypothesis has been accompanied over the years by the “thrifty phenotype” hypothesis [74], which states that malnutrition in utero would prepare the fetus to adapt to a potentially adverse environment after birth. In fact, malnutrition generates changes in the glucose-insulin metabolism [75], and prepares the fetus for early survival in nutritionally hostile environments. However, a subsequent rapid rate of growth after birth may predispose the individual to the risk of developing type 2 diabetes mellitus and metabolic syndrome later in life due to alterations in insulin secretion and insulin resistance [72],[76].

In support of this, it was seen that in developing countries and in rural areas food shortages and malnutrition contribute to the generation of “small-size” mothers resulting in uterine constriction of the fetus, probably mediated by the interaction between insulin-like growth factors and their binding proteins [77]. Caloric restrictions in utero and in early life represent a form of adaptation to a condition of food shortage; if these environmental conditions are present later in life, they represent an evolutionary advantage, resulting in cardiovascular health and metabolic improvement [78]. Conversely, individuals who have experienced fetal and early-life nutritional deficiencies, but then move to urban areas with high-caloric intake, are more predisposed to the development of cardiovascular diseases and metabolic syndrome [79].

The current widespread food availability, along with a sedentary lifestyle, turned the thrifty genotype and phenotype into a disadvantage, contributing to the onset of obesity, type 2 diabetes mellitus, cardiovascular disease, and their neurological complications [69],[80]. In particular, mid-life obesity is a risk factor for developing AD or vascular dementia during old age [81],[82] because of the comorbidities associated with obesity, such as type 2 diabetes mellitus, hypertension, hypercholesterolemia and insulin resistance [83]. Furthermore, an elevated body mass index (BMI) is associated with grey matter atrophy in several brain regions [84], and with reduced white matter integrity [85]. Together with morphological changes in the brain, neuroimaging studies demonstrated a relationship between obesity and functional brain alterations [86][88].

3.1. Nutrition and cognition in pregnancy and breastfeeding

In mammals, the first epigenetic processes underlying the regulation of gene expression occur in the early stages of the development, particularly during gametogenesis and in the pre-implantation embryo. In fact, after fertilization, the paternal genome in the zygote undergoes a demethylation process, while the maternal one is gradually demethylated during the blastocyst development. This loss of epigenetic information is necessary to create the new genome in the offspring. However, in order to reprogram the new methylome, some original information from the gametes must be maintained and are “imprinted” onto the new genome [4].

While it is widely known that maternal lifestyle in the peri-conceptional period and during pregnancy may affect the offspring, paternal contribution is often overlooked [89].

Several studies on animal models show that obesity and pre-conceptional exposure to pollutants, heavy metals or stress conditions affect the development of male germ cells through epigenetic changes affecting the offspring [90]. Based on this knowledge, the concept of “Paternal Origins of Health and Disease (POHaD)” was introduced as an extension of the “Developmental Origin of Health and Disease (DOHaD)” paradigm [89].

Few studies explore the epigenetic effects of the environment on the spermatozoa, taking into account some toxic agents or habits, such as pollutants [91], chemotherapy drugs [92], obesity and bariatric interventions [93],[94], smoking [95] and alcohol [96], which would be able to cause epimutations in male germ cells altering the global DNA methylation and histone post-translational modifications. To refer to these environmental factors, the “paternal exposome” expression has been used [91].

3.1.1. Epigenetic mechanisms occurring during peri-conceptional period and pregnancy

DNA methylation is a process catalyzed by the DNA methyl-transferases DNMT1, DNMT3a and DNMT3b and it is reversible in Eukaryotes [97]. This involves the donation of a methyl group from a S-adenosyl-methionine (SAM) molecule to the position 5′ of the nucleotide cytosine in the CpG dinucleotide. In the human genome, the CpG dinucleotides are generally grouped in a very conserved regions called “CpG islands”, at least 200 base pairs long, with a C + G content higher than 50%.

DNA methylation occurs several days after fertilization, during the embryo implantation, through the DNA methyl-transferase DNMT1, and it is maintained through cell division. In fact, during DNA replication, the DNMT1 reads the methylated parental strand and methylates the newly synthesized complementary strand on the unmethylated CpG dinucleotide [98].

Environmental factors, such as toxic substances (heavy metals, volatile organic compounds, etc.), smoking, stress and nutrition [99] can influence these processes.

Human studies suggest that already in the peri-conceptional period both maternal and paternal poor nutrition can increase the risk of metabolic syndrome in the offspring through persistent changes in the DNA methylation of the fetus, which may last into adulthood [100]. These changes may occur both globally and at specific loci such as the Insulin-like Growth Factor-2 (IGF-2) gene, where a decrease in DNA methylation is associated with the risk of obesity, dyslipidemia and insulin resistance in adulthood [101]. Furthermore, global and gene-specific DNA hypo-methylation in the fetal brain, and the consequent gene expression alteration, may lead to behavior impairments [102]. Therefore, maintaining a healthy and balanced diet by both parents may reduce these risks [103].

It is widely known that during the gestation period, the mother's diet and habits play an essential role in the regulation of gene expression in the fetus, especially in the early months of development.

These phenomena are mainly due to the placenta which plays a critical role in the exchange of nutrients, oxygen and waste material between mother and fetus, and responds to maternal stimuli and perturbations with modifications in epigenetic mechanisms and gene expression [104],[105]. These epigenetic changes may have long-term effects on the fetal neurodevelopment [106].

Taken together, this data suggest that the crucial period for the establishment and maintenance of epigenetic changes in the offspring happens in the very early stages of the mammalian development [107], and this is confirmed by studies on mouse models [108],[109].

A valuable and rare example in support of these observations in humans is represented by individuals who were prenatally exposed to famine during the Dutch Hunger Winter in 1944–1945, compared with their unexposed, same-sex siblings [110]. This comparison shows that peri-conceptional exposure to famine is associated with decreased methylation in IGF2 gene of 60 individuals 6 decades later, demonstrating how environmental conditions early in human gestation can lead to long-lasting changes in the epigenome.

Conversely, selecting individuals exposed to famine late in the gestation and born in or shortly after the famine, no differences are found with their unexposed siblings [100], suggesting that early stages of pregnancy represent a critical time window for the establishment of the epigenome.

It is also known that immediately after birth and in the early growth stages the environmental conditions either allow an adaptive response or predispose to several diseases in adulthood (see the above mentioned “thrifty phenotype” hypothesis, [72],[74]).

Recent evidence converges on the fact that the crucial period for the later development would correspond to the first 1000 days of life [111]. According to the “first thousand days of life” theory, the period from the first day of pregnancy to two years of age is critical for the prevention of future diseases (Figure 3) [62]. In fact, the predisposition to cardiovascular, metabolic and neurological disorders in the offspring begins in utero and is associated with the inheritance of epigenetic alterations. As seen before, these depend on the maternal nutrition and lifestyle during the pregnancy and on the offspring's nutrition during the first two years of life [112],[113]. Therefore, it is possible to hypothesize a connection between the 1000 days of plasticity and the predisposition to neurodegeneration later in life [62].

Figure 3. Schematization of the “first 1000 days of life” theory [62]. According to this theory, the period from the first day of pregnancy to two years of age is crucial for the establishment of the epigenome in the offspring.

Figure 3.

Furthermore, the strong association between maternal nutritional status and the risk of developing metabolic, cardiovascular and neurological diseases in the offspring [114], passing through epigenetic alterations [115], is emphasized by some papers in which micronutrients are examined. For example, some methyl donor micronutrients, such as folate, methionine, choline and betaine play a key role in the regulation of DNA methylation through the folate-mediated one-carbon metabolism processes [116],[117]. In particular folate, which is present in some green leafy vegetables and whose supplementation is recommended to pregnant women, has a fundamental role in the correct neural tube formation in the fetus, preventing its defects (spina bifida) [4].

Some preliminary studies on alcohol consumption in pregnant or lactating Italian women reveal that this habit is not negligible [118]. The first studies on the harmful effects of alcohol in pregnancy date back to 1960s. Alcohol abuse during pregnancy increases the risk for the fetus of developing fetal alcoholic syndrome (FAS), which is characterized by facial abnormalities, growth retardation and brain damage (intellectual difficulties and behavioral disturbances) [119], and fetal alcohol spectrum disorders (FASD), which is a neurodevelopmental deficit characterized by hyperactivity, attention deficit and cognitive disability [120],[121]. The pathogenetic mechanisms behind these clinical conditions are not clear, but the direct toxic effect of ethanol, the cytotoxicity induced by alcohol catabolism, the production of oxygen free radicals and the inhibition of cell adhesion molecules may have a role in the pathology [122][124]. Furthermore, some evidences suggest that gestational alcohol exposure may result in lasting changes in the fetal epigenome [125].

A study on FASD animal models show that prenatal and postnatal alcohol exposure increases the activity of the DNMTs in the fetus, modifying the expression of the methyl-CpG-binding protein (MeCP2) gene, which is essential for the normal functioning of nerve cells [126]. The hippocampus of these fetuses exhibits developmental delay with fewer cells in the dentate gyrus [127]. In addition to this, exposure to alcohol during gestation affects the neurulation process, altering DNA methylation and the expression of several genes, including those implicated in cell cycle, growth and apoptosis, modulating the development of the fetus at early stages [128].

Histone post-translational modifications are also part of the epigenetic effects derived from alcohol consumption in pregnancy, but the exposure time and the different responsiveness of brain areas contribute to the inconsistent results [129].

As seen before, eating habits may also affect the epigenome of the paternal germline, influencing the offspring's health already in pre- and peri-conceptional periods [89],[90].

Surprisingly, paternal alcohol consumption can also be a risk to the offspring. In fact, studies in both animal models and humans demonstrate how ethanol is able to alter DNA methylation and histone post-translational modifications in both testis and developing sperm cells [4],[96],[130]. How these epigenetic changes may affect embryonic development and cognitive functions is still unclear, but a recent study show altered gene expression in the offspring neocortex and intraneocortical connections. Both male and female offspring suffer alterations in cognitive functions, such as sensorimotor integration, balance, coordination and short-term motor learning [131].

Histone methylation is a process catalyzed by the histone methyl-transferases (HMTs), that transfer one to three methyl groups from SAM to lysine and arginine residues of histone proteins (H2A, H2B, H3 and H4), which play an essential role in the process of chromatin compaction. The methylation is associated with activation/repression of the gene expression depending on the position on which it occurs. In particular, dimethylation and trimethylation on lysine 4 of histone H3 (H3K4me2 and H3K4me3) seem to be a global epigenetic marker in euchromatic regions, while methylation on lysine 9 of histone H3 (H3K9me) is an epigenetic marker crucial for the heterochromatin formation and transcriptional silencing. Otherwise, the acetylation of lysine residues on the N-terminal tails of histones is mediated by the histone acetyl-transferases (HATs) and it is always associated with increased gene expression, favouring the chromatin opening [68].

Among micronutrients, zinc and iron are involved in the regulation of some epigenetic mechanisms in response to the maternal diet during pregnancy in murine models [132]. In particular, they play a role in both histone modifications and DNA methylation [133],[134]. Fetal iron deficiency in rats leads to alterations in histone methylation and acetylation and in DNA methylation in the Bdnf gene, resulting in lower transcription in hippocampus. The effects of these processes are also observed in adulthood [135].

During pregnancy and in the first years of life, vitamin A plays an important role in the development of learning and memory processes of the fetus, so its deficiency (VAD) adversely affects the development of the nervous system. In the hippocampus, the nuclear receptor for retinoic acid-α (RAR-α) is one of the most important biomarkers from this point of view, and its interaction with the histone acetyltransferase CREB-binding protein (CBP) is examined in 8-week-old VAD rats, where lower levels of histone acetylation are observed, due to a dysregulation in histone acetylation mediated by RAR-α. Since histone acetylation is involved in the development of the nervous system, learning, memory and the pathogenesis of neurodegenerative diseases induced by vitamin A deficiency, these results support the importance of vitamin A assumption during pregnancy and early life in order to prevent impairments of learning and memory in adulthood [136].

Furthermore, the antioxidant properties of vitamin A are well known, and they might prevent damages to histone acetylation mechanisms induced by reactive oxygen species [137].

3.1.2. Epigenetic mechanisms during breastfeeding

Breast milk, compared to formula milk, has lower protein content, but contains biologically active compounds [138], and higher levels of long chain polyunsaturated fatty acids (LCPUFA), cholesterol and non-digestible carbohydrates, which act as a substrate for the beneficial bacterial strains that grow in the gut microbiota (Bifidobacterium, Lactobacillus) and contribute to the strengthening of the immune system [139]. In fact, the short-chain fatty acids produced by the intestinal bacteria from the dietary fiber fermentation influence the activity of the enzymes involved in the post-translational modifications of the histones and thus gene expression. This would seem the main reason why breastfeeding contributes to the immune system strengthening of the baby during the first 6 months of life [140]. The n-3 and n-6 LCPUFAs are essential for brain development and cognitive functions of the child. In fact, they contribute to myelin sheath formation and enhance synaptic plasticity [141], and are involved in several processes ranging from cell membrane fluidity to gene expression regulation [142]. In particular, DHA plays a role in neurogenesis, neurotransmission and protection against oxidative stress [143], and its accumulation starts in utero in correspondence with the development of the gray matter of the fetus [144],[145]. Furthermore, breastfed newborns show higher levels of DHA in erythrocytes than formula-fed infants [146], demonstrating that the mother's diet affects the offspring before birth and in the early stages of life [141]. Ultimately, n-3 LCPUFAs uptake from the mother's diet during pregnancy and breastfeeding has long-term effects on visual acuity, psychomotor development and mental skills in children [141].

Breast milk is known to reduce the risk of pediatric obesity [147],[148]. Since obesity is linked to inflammation and to neuroinflammation, one could speculate that the risk of developing neurodegenerative diseases in adulthood might be reduced by breastfeeding [62].

The benefits of breast milk involve epigenetic mechanisms that are not yet entirely clear, but which may influence gene expression of the offspring with both short-term and long-term effects.

3.2. Nutrition and cognition in adulthood and aging

As mentioned above, there are several nutrients that contribute to cognitive development across the lifespan. This is due to the close communication between the gut microbiota and the brain [149] and to the role of some nutrients along the gut-brain axis. For example, the short-chain fatty acids (SCFAs) propionate, butyrate and acetate are produced by the fermentation of dietary fibers derived from vegetables consumption, and their beneficial effects in preventing cardiovascular disease, metabolic syndrome, cancer and neurodegenerative diseases are known [150]. SCFAs act as both signal transduction molecules through G protein-coupled receptors and regulators of gene expression through histone post-translational modifications, and exert their action on the brain through immune, endocrine, vagal and other humoral pathways, since their ability to cross the blood-brain barrier [151].

They play an essential role in maintaining microbiota diversity and in regulating intestinal permeability [152][154]. In fact, the alteration of intestinal microbes involves an increase in the gut permeability with the consequent passage of toxic substances and pro-inflammatory cytokines (Figure 4), thus feeding inflammatory and neuroinflammatory processes [62],[151].

Figure 4. Effects of nutrition on cognitive functioning through the gut-brain axis. Short-chain fatty acids (SCFAs) are produced by the microbial fermentation of dietary fibers deriving from vegetables consumption and act as both signal transduction molecules through G protein-coupled receptors and regulators of gene expression through histone post-translational modifications. They play a key role in preventing neurodegenerative diseases due to their ability to cross the blood-brain barrier and to exert their action on the brain through immune, endocrine, vagal and other humoral pathways, preventing the increase in intestinal permeability and the release of pro-inflammatory cytokines usually associated with a poor nutrition.

Figure 4.

Among micronutrients, vitamin D promotes intestinal absorption of minerals such as calcium, magnesium and phosphorus [155]. Its metabolites and receptors (VDR) have been found in the brain [156],[157], particularly in neurons and glial cells of the hippocampus, hypothalamus, cortex and subcortex [157]. Elevated serum levels of vitamin D are positively associated with attention and working memory [158], while vitamin D deficiency correlates with cognitive decline [54] and executive functions impairments [159].

Likewise, omega-3 fatty acids contribute to the development of the brain and its functions [143]. In particular, DHA plays a role in the neuronal cell membrane fluidity, affects the speed of signal transduction, neurotransmission and formation of lipid rafts [160],[161]. Furthermore, it is involved in gene expression regulation, ionic channels activity, and it is metabolized into neuroprotective metabolites [29],[162],[163].

The factors that contribute to the onset of the most common neurodegenerative diseases, such as late onset AD (LOAD), are numerous and include the interaction between genetic factors and environmental conditions.

Interesting studies on monozygotic twins confirm this and show the influence of the environment in determining the age of onset of the disease, which may differ in the 4–16 years range among monozygotic twins [164]. According to these studies, among the environmental factors associated with LOAD there are exposure to heavy metals, electromagnetic fields, chemicals, depression, hypertension, stroke, diabetes, high cholesterol levels, obesity, brain trauma, smoking and stress. However, among the protective factors there are physical activity [165], mental activity [166], education, social relations and a balanced nutrition [164].

For example, it is known that the consumption of fish, which is rich in omega-3, reduces the risk of developing AD, while antioxidants such as vitamin E and plants polyphenols curcumin and green tea epigallocatechin gallate (EGCG) have neuroprotective activity which may have an important role in preventing AD [167]. In fact, DHA and eicosapentaenoic acid (EPA) have beneficial effects due to the reduction of pro-inflammatory cytokines and of obesity-induced insulin resistance.

In AD transgenic mice exposed to curcumin or EGCG, a significant reduction of inflammation and oxidative stress in the brain and a reduction in the levels of soluble beta-amyloid plaques are observed [168]. Furthermore, an interesting study on the brain of AD rat models demonstrates that there is a link between the deficit in cerebral energy metabolism and the dysfunction of the cholinergic system, providing a useful tool to study the complex mechanisms behind two interrelated phenomena characterizing AD from the early stages [169].

In vitro studies on human neuroblastoma show a DNA hypo-methylation in the promoters of PSEN1 and BACE1 genes in conditions of folate and vitamin B12 deficiency, resulting in increased gene expression associated with an increased production of beta-amyloid. In this case, the addition of S-adenosyl-methionine restores PSEN1 and BACE1 expression to baseline levels [170].

Although not fully clear, some evidence shows that the activation of epigenetic mechanisms could be behind these processes. In fact, global changes in the DNA methylation and histone modifications are observed in the brains of AD cases compared to controls, such as DNA hypo-methylation in the entorhinal cortex [171] of AD patients.

3.2.1. DNA methylation

DNA methylation, as we have seen, is mediated by the DNMTs and the methyl donor SAM, which is an intermediate of the homocysteine cycle. This process is regulated by vitamins B6, B12 and folate, and its alteration leads to aberrant DNA methylation related to several neurological disorders and autoimmune diseases. Several cases of neurodegenerative diseases such as AD, PD, Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD), result from a combination of genetic and environmental factors, which is not yet well defined. An unbalanced intake of nutrients, together with epigenetic phenomena, plays an important role in the onset and progression of these disorders [172].

As mentioned previously, SAM is the donor of methyl groups used to methylate DNA, RNA, proteins and lipids, and it is an intermediate of homocysteine cycle, governed by vitamins B.

After the methyl group donation, SAM becomes SAH (S-adenosyl-homocysteine), which is usually turned into HCY (homocysteine). Homocysteine can either go in the re-methylation pathway, where HCY is re-methylated and converted into methionine (precursor to SAM) in a reaction involving B12 and folate; or go in the trans-sulfuration pathway, where HCY is first converted to cystathionine and then to cysteine in a reaction involving vitamin B6 (Figure 5) [172].

Figure 5. The methyl cycle. After the methyl group donation to a precursor molecule (X: DNA, RNA, proteins, lipids), S-adenosylmethionine (SAM) becomes S-adenosylhomocysteine (SAH), which is usually turned into homocysteine (HCY). HCY can undergo two fates: in the re-methylation pathway, it is re-methylated and converted into methionine (precursor to SAM) in a reaction involving vitamin B12; in the trans-sulfuration pathway, HCY is first converted to cystathionine and then to cysteine in a reaction that involves vitamin B6.

Figure 5.

The alteration of this cycle due to vitamins B deficiency involves SAH accumulation, resulting in hyper-homocysteinemia, and the decrease in the SAM/SAH ratio, altering the activity of the methyl-transferases. This mechanism may be the way by which vitamins B deficiency is linked to neurodegeneration [173].

It is seen that vitamin B12 deficiency and hyper-homocysteinemia may affect cognition with loss of total brain volume and cognitive and memory decline [46],[47], through pathways involving methylation, redox potentials with altered calcium influx, tau protein and beta-amyloid accumulation, apoptosis and neuronal death [51].

In fact, in AD vitamins B deficiency is associated with decreased SAM/SAH ratio, with inhibition of DNA methyl-transferases activity and stimulation of the DNA demethylases activity. The activity of the demethylases would involve a hypo-methylation in the PSEN1 gene promoter, resulting in the gene overexpression, increasing in the amyloid processing, senile plaques deposition and cognitive impairment [174]. Several studies support this theory, while others claim that the alteration of DNA methylation could be regulated by amyloid rather than be regulating the amyloid processing.

Studies conducted on cell cultures and animal models suggest that the alteration of DNA methyl-transferases activity is related to neurodegeneration. Indeed, aberrant DNA methylation and neurodegeneration can be due to mutations in the genes encoding the DNA methyl-transferases. For example, mutations in the DNMT1 gene, which cause a loss of function of the enzyme and abnormal methylation patterns, are associated with dementia, sensory neuropathy, hearing loss [175], cerebellar ataxia and narcolepsy [176]. In addition, overexpression of the DNMT3a gene induces neurodegeneration and apoptosis, while a depletion/loss of function mutation in the same gene reduces apoptosis in the motor neurons. Alterations in DNMT1, DNMT3a and in DNA methylation levels are found in the motor neurons in ALS patients [172].

3.2.2. Histone modifications

As seen previously, in the homocysteine cycle, SAM is the donor of the methyl groups used to methylate the DNA, the RNA, proteins and lipids, in a process regulated by vitamins B. An alteration of this one-carbon metabolism leads to hyper-homocysteinemia with changes in methyl-transferases activity, and this affects both DNA and histone methylation.

Vitamins B deficiency leads to a hyper-homocysteinemia condition and is related to neurological issues, poor cognition and AD through these epigenetic mechanisms [177],[178]. Conversely, supplementations with vitamins B12, B6 and folate reduce serum concentrations of homocysteine, slowing down cognitive decline [179].

Furthermore, vitamins A, E and C have antioxidant properties, so they can reduce abnormal histone acetylation modifications due to an oxidative environment. Increased intake of these antioxidant molecules from food has protective effects against oxidative stress and is associated with a decreased risk of developing AD [177].

Several evidences support the role of PUFAs in slowing cognitive decline. A study on neuroblastoma cells demonstrates that DHA can reduce histone deacetylases (HDAC1, HDAC2 and HDAC3) activity resulting in global increased acetylation on H3K9 residues. In addition, DHA promotes histone demethylation processes. These histone modifications together lead to an active transcription of genes associated with reduced apoptosis [180]. In humans, a study on peripheral blood mononuclear cells of AD patients shows how these cells decrease their ability to produce specialized pro-resolving mediators over time with the disease progression. These mediators derive from n-3 and n-6 PUFAs with anti-inflammatory properties. n-3 fatty acids supplementation for 6 months prevents these mediators reduction, demonstrating the importance of the PUFAs in hindering age and AD-related deterioration [181].

Curcumin is a strong antioxidant with widely known beneficial effects for AD. It inhibits different isoforms of HDACs, participating in histone acetylation processes which result, among other things, in reprogramming neurogenesis from neural stem cells [137]. Similarly as curcumin, green tea EGCG has neuroprotective properties and its regular consumption can reduce some forms of age-related cognitive dysfunctions through its mechanisms of action, including inhibition of the HDACs [182].

4. Conclusions

Among environmental factors determining neuroplasticity phenomena, nutrition plays an essential role in inducing structural and functional changes in the brain, determining effects on cognition [8][10].

In this review, we investigated the main diet-dependent epigenetic mechanisms involved in cognitive functioning, from the embryonic development to adulthood, and analyzed them as potential therapeutic target for the prevention of cognitive impairments from the early stages of life.

In fact, as seen so far, epigenome alterations play a key role in the susceptibility to several diseases, including cognitive deterioration. Although the mechanisms underlying these processes are not fully understood, a healthy nutrition affects epigenetic processes, helping to lower the risk of developing neurological diseases from very early in life.

The link between nutrition and cognitive functioning derives from the close interconnection existing between the gut microbiota and the cognitive mechanisms passing through the gut-brain axis. In fact, an unhealthy diet may modify the gut microbiota, leading to an alteration of intestinal permeability, with consequent absorption of toxic substances and release of pro-inflammatory cytokines, which mediate inflammation and neuroinflammation [62].

As we have seen, the predisposition to cardiovascular, metabolic and neurological disorders in the offspring derives from diet- and lifestyle-dependent epigenetic changes occurring in both maternal and paternal germ lines during the peri-conceptional period [89],[90],[100]. Pregnancy and breastfeeding are also crucial for the establishment and maintenance of the epigenome in the offspring, demonstrating that there is a susceptibility time window to epigenetic modifications which may predispose the offspring to cognitive impairments in adulthood.

These evidences led researchers to formulate the “first thousand days of life” theory, indicating the period from the first day of pregnancy to two years of age as critical for the prevention of diseases [62]. Therefore, it is possible to hypothesize a connection between the 1000 days of plasticity window and the predisposition to neurodegeneration later in life [62].

Based on these evidences, one might suggest some behavioral measures to lower the risk of neurodegenerative disorders: 1) maternal and paternal lifestyles and nutrition should be healthy already during the peri-conceptional period; 2) during pregnancy and breastfeeding, the mother should adopt a healthy diet and lifestyle, avoiding harmful environmental conditions such as exposure to pollutants, smoking, stress or alcohol consumption; 3) breastfeeding should be promoted for its beneficial effects on brain development and cognitive functions of the child; 4) the first two years of age are a crucial time window for brain epigenetic susceptibility, then the mother should educate the child to a healthy nutrition and lifestyle from early childhood; 5) a good amount of fish and dietary fibers should be included in the diet due to their anti-inflammatory and neuroprotective properties both in early life and adulthood.

Acknowledgments

This study was supported by funding from the Project “Bando Ricerca Competitiva 2017”, University of Naples Parthenope (D.R.289/2017) to L.M. and from the Department of Humanities, University of Naples Federico II (Fondi ricerca dipartimentale 2020 and 2021) to L.M.

Abbreviations

AD

Alzheimer's disease

ALS

Amyotrophic Lateral Sclerosis

BDNF

Brain-Derived Neurotrophic Factor

BMI

body mass index

CBP

CREB-binding protein

CNS

Central Nervous System

DHA

docosahexanoic acid

DNMT

DNA methyl-transferase

DOHaD

Developmental Origin of Health and Disease

EGCG

epigallocatechin gallate

ENS

Enteric Nervous System

EPA

eicosapentaenoic acid

FAS

fetal alcoholic syndrome

FASD

fetal alcohol spectrum disorders

FTD

Frontotemporal Dementia

HATs

histone acetyl-transferases

HCY

homocysteine

HDACs

histone deacetylases

HMTs

histone methyl-transferases

IGF-2

Insulin-like growth factor-2

LCPUFAs

long chain polyunsaturated fatty acids

LOAD

late onset Alzheimer's disease

MCI

mild cognitive impairment

MeCP2

methyl-CpG-binding protein

PD

Parkinson's disease

POHaD

Paternal Origin of Health and Disease

RAR-α

retinoic acid receptor-α

SAH

S-adenosyl-homocysteine

SAM

S-adenosyl-methionine

SCFAs

short-chain fatty acids

VAD

vitamin A deficiency

VDR

vitamin D receptor.

Footnotes

Conflict of interest: All authors declare no conflicts of interest.

References

  • 1.Gelfo F, Mandolesi L, Serra L, et al. The neuroprotective effects of experience on cognitive functions: evidence from animal studies on the neurobiological bases of brain reserve. Neuroscience. 2018;370:218–35. doi: 10.1016/j.neuroscience.2017.07.065. [DOI] [PubMed] [Google Scholar]
  • 2.Beauquis J, Roig P, De Nicola AF, et al. Short-term environmental enrichment enhances adult neurogenesis, vascular network and dendritic complexity in the hippocampus of type 1 diabetic mice. PLoS One. 2010;5:e13993. doi: 10.1371/journal.pone.0013993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ambrogini P, Lattanzi D, Ciuffoli S, et al. Physical exercise and environment exploration affect synaptogenesis in adult-generated neurons in the rat dentate gyrus: possible role of BDNF. Brain Res. 2013;1534:1–12. doi: 10.1016/j.brainres.2013.08.023. [DOI] [PubMed] [Google Scholar]
  • 4.Bacon ER, Brinton RD. Epigenetics of the Developing and Aging Brain: Mechanisms that Regulate Onset and Outcomes of Brain Reorganization. Neurosci Biobehav Rev. 2021;125:503–516. doi: 10.1016/j.neubiorev.2021.02.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mandolesi L, Gelfo F, Serra L, et al. Environmental factors promoting neural plasticity: Insights from animal and human studies. Neural Plast. 2017;2017:7219461. doi: 10.1155/2017/7219461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Troisi Lopez E, Cusano P, Sorrentino P. The relationship between sports activity and emotions in the formation of cognitive processes. J Phys Educ Sport. 2020;20:2349–2353. [Google Scholar]
  • 7.Mandolesi L, Polverino A, Montuori S, et al. Effects of physical exercise on cognitive functioning and wellbeing: Biological and psychological benefits. Front Psychol. 2018;9:509. doi: 10.3389/fpsyg.2018.00509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jirout J, LoCasale-Crouch J, Turnbull K, et al. How lifestyle factors affect cognitive and executive function and the ability to learn in children. Nutrients. 2019;11:1953. doi: 10.3390/nu11081953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Murphy T, Dias GP, Thuret S. Effects of diet on brain plasticity in animal and human studies: mind the gap. Neural Plast. 2014;2014:563160. doi: 10.1155/2014/563160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Cutuli D. Functional and structural benefits induced by omega-3 polyunsaturated fatty acids during aging. Curr Neuropharmacol. 2017;15:534–542. doi: 10.2174/1570159X14666160614091311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sharon G, Sampson TR, Geschwind DH, et al. The central nervous system and the gut microbiome. Cell. 2016;167:915–32. doi: 10.1016/j.cell.2016.10.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Buffington SA, Di Prisco GV, Auchtung TA, et al. Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring. Cell. 2016;165:1762–1775. doi: 10.1016/j.cell.2016.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jašarević E, Rodgers AB, Bale TL. A novel role for maternal stress and microbial transmission in early life programming and neurodevelopment. Neurobiol Stress. 2015;1:81–88. doi: 10.1016/j.ynstr.2014.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Rosato V, Temple NJ, La Vecchia C, et al. Mediterranean diet and cardiovascular disease: a systematic review and meta-analysis of observational studies. Eur J Nutr. 2019;58:173–191. doi: 10.1007/s00394-017-1582-0. [DOI] [PubMed] [Google Scholar]
  • 15.Mentella MC, Scaldaferri F, Ricci C, et al. Cancer and Mediterranean diet: a review. Nutrients. 2019;11:2059. doi: 10.3390/nu11092059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Martín-Peláez S, Fito M, Castaner O. Mediterranean Diet Effects on Type 2 Diabetes Prevention, Disease Progression, and Related Mechanisms. A Review. Nutrients. 2020;12:2236. doi: 10.3390/nu12082236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Radd-Vagenas S, Duffy SL, Naismith SL, et al. Effect of the Mediterranean diet on cognition and brain morphology and function: a systematic review of randomized controlled trials. Am J Clin Nutr. 2018;107:389–404. doi: 10.1093/ajcn/nqx070. [DOI] [PubMed] [Google Scholar]
  • 18.Gardener H, Caunca MR. Mediterranean diet in preventing neurodegenerative diseases. Curr Nutr Rep. 2018;7:10–20. doi: 10.1007/s13668-018-0222-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cremonini AL, Caffa I, Cea M, et al. Nutrients in the Prevention of Alzheimer's Disease. Oxid Med Cell Longev. 2019;2019:9874159. doi: 10.1155/2019/9874159. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Aridi YS, Walker JL, Wright ORL. The association between the Mediterranean dietary pattern and cognitive health: a systematic review. Nutrients. 2017;9:674. doi: 10.3390/nu9070674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mori TA, Beilin LJ. Omega-3 fatty acids and inflammation. Curr Atheroscler Rep. 2004;6:461–467. doi: 10.1007/s11883-004-0087-5. [DOI] [PubMed] [Google Scholar]
  • 22.Esposito K, Nappo F, Giugliano F, et al. Meal modulation of circulating interleukin 18 and adiponectin concentrations in healthy subjects and in patients with type 2 diabetes mellitus. Am J Clin Nutr. 2003;78:1135–1140. doi: 10.1093/ajcn/78.6.1135. [DOI] [PubMed] [Google Scholar]
  • 23.Román GC, Jackson RE, Gadhia R, et al. Mediterranean diet: The role of long-chain ω-3 fatty acids in fish; polyphenols in fruits, vegetables, cereals, coffee, tea, cacao and wine; probiotics and vitamins in prevention of stroke, age-related cognitive decline, and Alzheimer disease. Rev Neurol (Paris) 2019;175:724–741. doi: 10.1016/j.neurol.2019.08.005. [DOI] [PubMed] [Google Scholar]
  • 24.Cutuli D, De Bartolo P, Caporali P, et al. n-3 polyunsaturated fatty acids supplementation enhances hippocampal functionality in aged mice. Front Aging Neurosci. 2014;6:220. doi: 10.3389/fnagi.2014.00220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Cutuli D, Pagani M, Caporali P, et al. Effects of omega-3 fatty acid supplementation on cognitive functions and neural substrates: a voxel-based morphometry study in aged mice. Front Aging Neurosci. 2016;8:38. doi: 10.3389/fnagi.2016.00038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Innis SM. Dietary omega 3 fatty acids and the developing brain. Brain Res. 2008;1237:35–43. doi: 10.1016/j.brainres.2008.08.078. [DOI] [PubMed] [Google Scholar]
  • 27.Czyż K, Bodkowski R, Herbinger G, et al. Omega-3 fatty acids and their role in central nervous system-a review. Curr Med Chem. 2016;23:816–831. doi: 10.2174/0929867323666160122114439. [DOI] [PubMed] [Google Scholar]
  • 28.Farkas T, Kitajka K, Fodor E, et al. Docosahexaenoic acid-containing phospholipid molecular species in brains of vertebrates. Proc Natl Acad Sci. 2000;97:6362–6366. doi: 10.1073/pnas.120157297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kitajka K, Puskás LG, Zvara Á, et al. The role of n-3 polyunsaturated fatty acids in brain: modulation of rat brain gene expression by dietary n-3 fatty acids. Proc Natl Acad Sci USA. 2002;99:2619–2624. doi: 10.1073/pnas.042698699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Barcelo-Coblijn G, Hőgyes E, Kitajka K, et al. Modification by docosahexaenoic acid of age-induced alterations in gene expression and molecular composition of rat brain phospholipids. Proc Natl Acad Sci. 2003;100:11321–11326. doi: 10.1073/pnas.1734008100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Crawford MA, Sinclair AJ. The limitations of whole tissue analysis to define linolenic acid deficiency. J Nutr. 1972;102:1315–1321. doi: 10.1093/jn/102.10.1315. [DOI] [PubMed] [Google Scholar]
  • 32.Crawford MA, Bloom M, Broadhurst CL, et al. Evidence for the unique function of docosahexaenoic acid during the evolution of the modern hominid brain. Lipids. 1999;34:S39–S47. doi: 10.1007/BF02562227. [DOI] [PubMed] [Google Scholar]
  • 33.Bourre JM, Francois M, Youyou A, et al. The effects of dietary α-linolenic acid on the composition of nerve membranes, enzymatic activity, amplitude of electrophysiological parameters, resistance to poisons and performance of learning tasks in rats. J Nutr. 1989;119:1880–1892. doi: 10.1093/jn/119.12.1880. [DOI] [PubMed] [Google Scholar]
  • 34.Moriguchi T, Greiner RS, Salem N., Jr Behavioral deficits associated with dietary induction of decreased brain docosahexaenoic acid concentration. J Neurochem. 2000;75:2563–2573. doi: 10.1046/j.1471-4159.2000.0752563.x. [DOI] [PubMed] [Google Scholar]
  • 35.Adams PB, Lawson S, Sanigorski A, et al. Arachidonic acid to eicosapentaenoic acid ratio in blood correlates positively with clinical symptoms of depression. Lipids. 1996;31:S157–S161. doi: 10.1007/BF02637069. [DOI] [PubMed] [Google Scholar]
  • 36.Peet M, Laugharne JDE, Mellor J, et al. Essential fatty acid deficiency in erythrocyte membranes from chronic schizophrenic patients, and the clinical effects of dietary supplementation. Prostaglandins, Leukot Essent Fat Acids. 1996;55:71–75. doi: 10.1016/s0952-3278(96)90148-9. [DOI] [PubMed] [Google Scholar]
  • 37.Freeman MP, Hibbeln JR, Wisner KL, et al. Omega-3 fatty acids: evidence basis for treatment and future research in psychiatry. J Clin Psychiatry. 2006;67:1954–1967. doi: 10.4088/jcp.v67n1217. [DOI] [PubMed] [Google Scholar]
  • 38.Gupta SC, Tyagi AK, Deshmukh-Taskar P, et al. Downregulation of tumor necrosis factor and other proinflammatory biomarkers by polyphenols. Arch Biochem Biophys. 2014;559:91–99. doi: 10.1016/j.abb.2014.06.006. [DOI] [PubMed] [Google Scholar]
  • 39.Anekonda TS. Resveratrol—a boon for treating Alzheimer's disease? Brain Res Rev. 2006;52:316–326. doi: 10.1016/j.brainresrev.2006.04.004. [DOI] [PubMed] [Google Scholar]
  • 40.Frautschy SA, Hu W, Kim P, et al. Phenolic anti-inflammatory antioxidant reversal of Aβ-induced cognitive deficits and neuropathology. Neurobiol Aging. 2001;22:993–1005. doi: 10.1016/s0197-4580(01)00300-1. [DOI] [PubMed] [Google Scholar]
  • 41.Van Praag H, Lucero MJ, Yeo GW, et al. Plant-derived flavanol (−) epicatechin enhances angiogenesis and retention of spatial memory in mice. J Neurosci. 2007;27:5869–5878. doi: 10.1523/JNEUROSCI.0914-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Rendeiro C, Vauzour D, Rattray M, et al. Dietary levels of pure flavonoids improve spatial memory performance and increase hippocampal brain-derived neurotrophic factor. PLoS One. 2013;8:e63535. doi: 10.1371/journal.pone.0063535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Letenneur L, Proust-Lima C, Le Gouge A, et al. Flavonoid intake and cognitive decline over a 10-year period. Am J Epidemiol. 2007;165:1364–1371. doi: 10.1093/aje/kwm036. [DOI] [PubMed] [Google Scholar]
  • 44.Sasaki H, Matsuzaki Y, Meguro K, et al. Vitamin B12 improves cognitive disturbance in rodents fed a choline-deficient diet. Pharmacol Biochem Behav. 1992;43:635–639. doi: 10.1016/0091-3057(92)90204-s. [DOI] [PubMed] [Google Scholar]
  • 45.Bryan J, Calvaresi E, Hughes D. Short-term folate, vitamin B-12 or vitamin B-6 supplementation slightly affects memory performance but not mood in women of various ages. J Nutr. 2002;132:1345–1356. doi: 10.1093/jn/132.6.1345. [DOI] [PubMed] [Google Scholar]
  • 46.Vogiatzoglou A, Refsum H, Johnston C, et al. Vitamin B12 status and rate of brain volume loss in community-dwelling elderly. Neurology. 2008;71:826–832. doi: 10.1212/01.wnl.0000325581.26991.f2. [DOI] [PubMed] [Google Scholar]
  • 47.Tangney CC, Aggarwal NT, Li H, et al. Vitamin B12, cognition, and brain MRI measures: a cross-sectional examination. Neurology. 2011;77:1276–1282. doi: 10.1212/WNL.0b013e3182315a33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Polverino A, Grimaldi M, Sorrentino P, et al. Effects of acetylcholine on β-amyloid-induced cPLA2 activation in the TB neuroectodermal cell line: Implications for the pathogenesis of Alzheimer's disease. Cell Mol Neurobiol. 2018;38:817–826. doi: 10.1007/s10571-017-0555-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Singh IN, Sorrentino G, Sitar DS, et al. Indomethacin and nordihydroguaiaretic acid inhibition of amyloid β protein (25–35) activation of phospholipases A2 and D of LA-N-2 cells. Neurosci Lett. 1997;222:5–8. doi: 10.1016/s0304-3940(97)13327-4. [DOI] [PubMed] [Google Scholar]
  • 50.Singh IN, Sorrentino G, Kanfer JN. Activation of LA-N-2 cell phospholipase D by amyloid beta protein (25–35) Neurochem Res. 1998;23:1225–1232. doi: 10.1023/a:1020731813973. [DOI] [PubMed] [Google Scholar]
  • 51.Obeid R, Herrmann W. Mechanisms of homocysteine neurotoxicity in neurodegenerative diseases with special reference to dementia. FEBS Lett. 2006;580:2994–3005. doi: 10.1016/j.febslet.2006.04.088. [DOI] [PubMed] [Google Scholar]
  • 52.Perkins AJ, Hendrie HC, Callahan CM, et al. Association of antioxidants with memory in a multiethnic elderly sample using the Third National Health and Nutrition Examination Survey. Am J Epidemiol. 1999;150:37–44. doi: 10.1093/oxfordjournals.aje.a009915. [DOI] [PubMed] [Google Scholar]
  • 53.Przybelski RJ, Binkley NC. Is vitamin D important for preserving cognition? A positive correlation of serum 25-hydroxyvitamin D concentration with cognitive function. Arch Biochem Biophys. 2007;460:202–205. doi: 10.1016/j.abb.2006.12.018. [DOI] [PubMed] [Google Scholar]
  • 54.Slinin Y, Paudel M, Taylor BC, et al. Association between serum 25 (OH) vitamin D and the risk of cognitive decline in older women. J Gerontol A Biol Sci Med Sci. 2012;67:1092–1098. doi: 10.1093/gerona/gls075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Littlejohns TJ, Henley WE, Lang IA, et al. Vitamin D and the risk of dementia and Alzheimer disease. Neurology. 2014;83:920–928. doi: 10.1212/WNL.0000000000000755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Dalton A, Mermier C, Zuhl M. Exercise influence on the microbiome-gut-brain axis. Gut Microbes. 2019;10:555–568. doi: 10.1080/19490976.2018.1562268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Alam R, Abdolmaleky HM, Zhou J. Microbiome, inflammation, epigenetic alterations, and mental diseases. Am J Med Genet Part B Neuropsychiatr Genet. 2017;174:651–660. doi: 10.1002/ajmg.b.32567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Rhee SH, Pothoulakis C, Mayer EA. Principles and clinical implications of the brain–gut–enteric microbiota axis. Nat Rev Gastroenterol Hepatol. 2009;6:306–314. doi: 10.1038/nrgastro.2009.35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Mulak A, Bonaz B. Brain-gut-microbiota axis in Parkinson's disease. World J Gastroenterol WJG. 2015;21:10609–10620. doi: 10.3748/wjg.v21.i37.10609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Polverino A, Rucco R, Stillitano I, et al. In amyotrophic lateral sclerosis blood cytokines are altered, but do not correlate with changes in brain topology. Brain Connect. 2020;10:411–421. doi: 10.1089/brain.2020.0741. [DOI] [PubMed] [Google Scholar]
  • 61.Tillisch K. The effects of gut microbiota on CNS function in humans. Gut Microbes. 2014;5:404–410. doi: 10.4161/gmic.29232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Gabbianelli R, Damiani E. Epigenetics and neurodegeneration: role of early-life nutrition. J Nutr Biochem. 2018;57:1–13. doi: 10.1016/j.jnutbio.2018.01.014. [DOI] [PubMed] [Google Scholar]
  • 63.Lista I, Sorrentino G. Biological mechanisms of physical activity in preventing cognitive decline. Cell Mol Neurobiol. 2010;30:493–503. doi: 10.1007/s10571-009-9488-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Businaro R, Ippoliti F, Ricci S, et al. Alzheimer's disease promotion by obesity: induced mechanisms—molecular links and perspectives. Curr Gerontol Geriatr Res. 2012;2012:986823. doi: 10.1155/2012/986823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Grundy SM. Metabolic syndrome update. Trends Cardiovasc Med. 2016;26:364–373. doi: 10.1016/j.tcm.2015.10.004. [DOI] [PubMed] [Google Scholar]
  • 66.Tosti V, Bertozzi B, Fontana L. Health benefits of the Mediterranean diet: metabolic and molecular mechanisms. J Gerontol A Biol Sci Med Sci. 2018;73:318–326. doi: 10.1093/gerona/glx227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Delgado-Morales R, Agís-Balboa RC, Esteller M, et al. Epigenetic mechanisms during ageing and neurogenesis as novel therapeutic avenues in human brain disorders. Clin Epigenetics. 2017;9:67. doi: 10.1186/s13148-017-0365-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Deibel SH, Zelinski EL, Keeley RJ, et al. Epigenetic alterations in the suprachiasmatic nucleus and hippocampus contribute to age-related cognitive decline. Oncotarget. 2015;6:23181–23203. doi: 10.18632/oncotarget.4036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Gosling AL, Buckley HR, Matisoo-Smith E, et al. Pacific populations, metabolic disease and ‘Just-So Stories’: A critique of the ‘Thrifty Genotype’ hypothesis in Oceania. Ann Hum Genet. 2015;79:470–480. doi: 10.1111/ahg.12132. [DOI] [PubMed] [Google Scholar]
  • 70.Thompson ME, Wrangham RW. Diet and reproductive function in wild female chimpanzees (Pan troglodytes schweinfurthii) at Kibale National Park, Uganda. Am J Phys Anthropol. 2008;135:171–181. doi: 10.1002/ajpa.20718. [DOI] [PubMed] [Google Scholar]
  • 71.Gibbons A. Paleoanthropology. Food for thought. Science. 2007;316:1558–1560. doi: 10.1126/science.316.5831.1558. [DOI] [PubMed] [Google Scholar]
  • 72.Wells JCK. The thrifty phenotype as an adaptive maternal effect. Biol Rev Camb Philos Soc. 2007;82:143–172. doi: 10.1111/j.1469-185X.2006.00007.x. [DOI] [PubMed] [Google Scholar]
  • 73.Block T, El-Osta A. Epigenetic programming, early life nutrition and the risk of metabolic disease. Atherosclerosis. 2017;266:31–40. doi: 10.1016/j.atherosclerosis.2017.09.003. [DOI] [PubMed] [Google Scholar]
  • 74.Hales CN, Barker DJP. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia. 1992;35:595–601. doi: 10.1007/BF00400248. [DOI] [PubMed] [Google Scholar]
  • 75.Hales CN, Barker DJP. The thrifty phenotype hypothesis: Type 2 diabetes. Br Med Bull. 2001;60:5–20. doi: 10.1093/bmb/60.1.5. [DOI] [PubMed] [Google Scholar]
  • 76.Singhal A, Lucas A. Early origins of cardiovascular disease: is there a unifying hypothesis? Lancet. 2004;363:1642–1645. doi: 10.1016/S0140-6736(04)16210-7. [DOI] [PubMed] [Google Scholar]
  • 77.Kelsey G, Constancia M, Dean WL, et al. Genomic imprinting of fetal growth. Fetal Program Influ Dev Dis Later Life. 1999;73:84. [Google Scholar]
  • 78.Moore SE, Halsall I, Howarth D, et al. Glucose, insulin and lipid metabolism in rural Gambians exposed to early malnutrition. Diabet Med. 2001;18:646–653. doi: 10.1046/j.1464-5491.2001.00565.x. [DOI] [PubMed] [Google Scholar]
  • 79.Prentice AM, Rayco-Solon P, Moore SE. Insights from the developing world: thrifty genotypes and thrifty phenotypes. Proc Nutr Soc. 2005;64:153–161. doi: 10.1079/pns2005421. [DOI] [PubMed] [Google Scholar]
  • 80.Levitan RD, Wendland B. Novel “thrifty” models of increased eating behaviour. Curr Psychiatry Rep. 2013;15:408. doi: 10.1007/s11920-013-0408-x. [DOI] [PubMed] [Google Scholar]
  • 81.Whitmer RA, Gunderson EP, Barrett-Connor E, et al. Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study. BMJ. 2005;330:1360. doi: 10.1136/bmj.38446.466238.E0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Xu WL, Atti AR, Gatz M, et al. Midlife overweight and obesity increase late-life dementia risk: a population-based twin study. Neurology. 2011;76:1568–1574. doi: 10.1212/WNL.0b013e3182190d09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Dye L, Boyle NB, Champ C, et al. The relationship between obesity and cognitive health and decline. Proc Nutr Soc. 2017;76:443–454. doi: 10.1017/S0029665117002014. [DOI] [PubMed] [Google Scholar]
  • 84.Shefer G, Marcus Y, Stern N. Is obesity a brain disease? Neurosci Biobehav Rev. 2013;37:2489–2503. doi: 10.1016/j.neubiorev.2013.07.015. [DOI] [PubMed] [Google Scholar]
  • 85.Verstynen TD, Weinstein AM, Schneider WW, et al. Increased body mass index is associated with a global and distributed decrease in white matter microstructural integrity. Psychosom Med. 2012;74:682–690. doi: 10.1097/PSY.0b013e318261909c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Willeumier KC, Taylor DV, Amen DG. Elevated BMI is associated with decreased blood flow in the prefrontal cortex using SPECT imaging in healthy adults. Obesity. 2011;19:1095–1097. doi: 10.1038/oby.2011.16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Cheke LG, Bonnici HM, Clayton NS, et al. Obesity and insulin resistance are associated with reduced activity in core memory regions of the brain. Neuropsychologia. 2017;96:137–149. doi: 10.1016/j.neuropsychologia.2017.01.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Gonzales MM, Tarumi T, Miles SC, et al. Insulin sensitivity as a mediator of the relationship between BMI and working memory-related brain activation. Obesity. 2010;18:2131–2137. doi: 10.1038/oby.2010.183. [DOI] [PubMed] [Google Scholar]
  • 89.Soubry A. POHaD: why we should study future fathers. Environ Epigenet. 2018;4:dvy007. doi: 10.1093/eep/dvy007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Soubry A, Hoyo C, Jirtle RL, et al. A paternal environmental legacy: evidence for epigenetic inheritance through the male germ line. Bioessays. 2014;36:359–371. doi: 10.1002/bies.201300113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Soubry A, Hoyo C, Butt CM, et al. Human exposure to flame-retardants is associated with aberrant DNA methylation at imprinted genes in sperm. Environ Epigenet. 2017;3:dvx003. doi: 10.1093/eep/dvx003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Shnorhavorian M, Schwartz SM, Stansfeld B, et al. Differential DNA methylation regions in adult human sperm following adolescent chemotherapy: potential for epigenetic inheritance. PLoS One. 2017;12:e0170085. doi: 10.1371/journal.pone.0170085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Soubry A, Guo L, Huang Z, et al. Obesity-related DNA methylation at imprinted genes in human sperm: results from the TIEGER study. Clin Epigenet. 2016;8:1–11. doi: 10.1186/s13148-016-0217-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Donkin I, Versteyhe S, Ingerslev LR, et al. Obesity and bariatric surgery drive epigenetic variation of spermatozoa in humans. Cell Metab. 2016;23:369–378. doi: 10.1016/j.cmet.2015.11.004. [DOI] [PubMed] [Google Scholar]
  • 95.Marczylo EL, Amoako AA, Konje JC, et al. Smoking induces differential miRNA expression in human spermatozoa: a potential transgenerational epigenetic concern? Epigenetics. 2012;7:432–439. doi: 10.4161/epi.19794. [DOI] [PubMed] [Google Scholar]
  • 96.Ouko LA, Shantikumar K, Knezovich J, et al. Effect of alcohol consumption on CpG methylation in the differentially methylated regions of H19 and IG-DMR in male gametes—Implications for fetal alcohol spectrum disorders. Alcohol Clin Exp Res. 2009;33:1615–1627. doi: 10.1111/j.1530-0277.2009.00993.x. [DOI] [PubMed] [Google Scholar]
  • 97.Fernandez AZ, Siebel AL, El-Osta A. Atherogenic factors and their epigenetic relationships. Int J Vasc Med. 2010;2010:437809. doi: 10.1155/2010/437809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Wang J, Wu Z, Li D, et al. Nutrition, epigenetics, and metabolic syndrome. Antioxid Redox Signal. 2012;17:282–301. doi: 10.1089/ars.2011.4381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Bakulski KM, Fallin MD. Epigenetic epidemiology: promises for public health research. Environ Mol Mutagen. 2014;55:171–183. doi: 10.1002/em.21850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Heijmans BT, Tobi EW, Stein AD, et al. Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci USA. 2008;105:17046–17049. doi: 10.1073/pnas.0806560105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Dominguez-Salas P, Cox SE, Prentice AM, et al. Maternal nutritional status, C1 metabolism and offspring DNA methylation: a review of current evidence in human subjects. Proc Nutr Soc. 2012;71:154–65. doi: 10.1017/S0029665111003338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Vucetic Z, Kimmel J, Totoki K, et al. Maternal high-fat diet alters methylation and gene expression of dopamine and opioid-related genes. Endocrinology. 2010;151:4756–4764. doi: 10.1210/en.2010-0505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Dunford AR, Sangster JM. Maternal and paternal periconceptional nutrition as an indicator of offspring metabolic syndrome risk in later life through epigenetic imprinting: a systematic review. Diabetes Metab Syndr. 2017;11:S655–S662. doi: 10.1016/j.dsx.2017.04.021. [DOI] [PubMed] [Google Scholar]
  • 104.Gheorghe CP, Goyal R, Mittal A, et al. Gene expression in the placenta: maternal stress and epigenetic responses. Int J Dev Biol. 2010;54:507–523. doi: 10.1387/ijdb.082770cg. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Nugent BM, Bale TL. The omniscient placenta: metabolic and epigenetic regulation of fetal programming. Front Neuroendocrinol. 2015;39:28–37. doi: 10.1016/j.yfrne.2015.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Bale TL, Baram TZ, Brown AS, et al. Early life programming and neurodevelopmental disorders. Biol Psychiatry. 2010;68:314–319. doi: 10.1016/j.biopsych.2010.05.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Reik W, Dean W, Walter J. Epigenetic reprogramming in mammalian development. Science. 2001;293:1089–1093. doi: 10.1126/science.1063443. [DOI] [PubMed] [Google Scholar]
  • 108.Doherty AS, Mann MRW, Tremblay KD, et al. Differential effects of culture on imprinted H19 expression in the preimplantation mouse embryo. Biol Reprod. 2000;62:1526–1535. doi: 10.1095/biolreprod62.6.1526. [DOI] [PubMed] [Google Scholar]
  • 109.Morgan HD, Jin XL, Li A, et al. The culture of zygotes to the blastocyst stage changes the postnatal expression of an epigentically labile allele, agouti viable yellow, in mice. Biol Reprod. 2008;79:618–623. doi: 10.1095/biolreprod.108.068213. [DOI] [PubMed] [Google Scholar]
  • 110.Lumey LH, Stein AD, Kahn HS, et al. Cohort profile: the Dutch Hunger Winter families study. Int J Epidemiol. 2007;36:1196–1204. doi: 10.1093/ije/dym126. [DOI] [PubMed] [Google Scholar]
  • 111.Agosti M, Tandoi F, Morlacchi L, et al. Nutritional and metabolic programming during the first thousand days of life. Pediatr Med Chir. 2017;39:157. doi: 10.4081/pmc.2017.157. [DOI] [PubMed] [Google Scholar]
  • 112.Hanson MA, Gluckman PD. Early developmental conditioning of later health and disease: physiology or pathophysiology? Physiol Rev. 2014;94:1027–1076. doi: 10.1152/physrev.00029.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Burton T, Metcalfe NB. Can environmental conditions experienced in early life influence future generations? Proc R Soc B Biol Sci. 2014;281:20140311. doi: 10.1098/rspb.2014.0311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Gomez-Verjan JC, Barrera-Vázquez OS, García-Velázquez L, et al. Epigenetic variations due to nutritional status in early-life and its later impact on aging and disease. Clin Genet. 2020;98:313–321. doi: 10.1111/cge.13748. [DOI] [PubMed] [Google Scholar]
  • 115.Hardy TM, Tollefsbol TO. Epigenetic diet: impact on the epigenome and cancer. Epigenomics. 2011;3:503–518. doi: 10.2217/epi.11.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Waterland RA. Assessing the effects of high methionine intake on DNA methylation. J Nutr. 2006;136:1706S–1710S. doi: 10.1093/jn/136.6.1706S. [DOI] [PubMed] [Google Scholar]
  • 117.Mahmoud AM, Ali MM. Methyl donor micronutrients that modify DNA methylation and cancer outcome. Nutrients. 2019;11:608. doi: 10.3390/nu11030608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Quarchioni E, Possenti V, Ferrante G, et al. Tobacco smoking and alcohol intake in pregnant and breastfeeding women: preliminary data of the survey PASSI 2014. Epidemiol Prev. 2016;40:76. doi: 10.19191/EP16.1.P076.019. [DOI] [PubMed] [Google Scholar]
  • 119.Ceccanti M, Romeo M, Fiorentino D. Alcohol and women: clinical aspects. Ann Ist Super Sanità. 2004;40:5–10. [PubMed] [Google Scholar]
  • 120.Bhatara V, Loudenberg R, Ellis R. Association of attention deficit hyperactivity disorder and gestational alcohol exposure: an exploratory study. J Atten Disord. 2006;9:515–522. doi: 10.1177/1087054705283880. [DOI] [PubMed] [Google Scholar]
  • 121.Hellemans KGC, Verma P, Yoon E, et al. Prenatal alcohol exposure increases vulnerability to stress and anxiety-like disorders in adulthood. Ann N Y Acad Sci. 2008;1144:154–175. doi: 10.1196/annals.1418.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Michaelis EK, Michaelis ML. Cellular and molecular bases of alcohol's teratogenic effects. Alcohol Health Res World. 1994;18:17–21. [PMC free article] [PubMed] [Google Scholar]
  • 123.Cartwright MM, Smith SM. Increased cell death and reduced neural crest cell numbers in ethanol-exposed embryos: partial basis for the fetal alcohol syndrome phenotype. Alcohol Clin Exp Res. 1995;19:378–386. doi: 10.1111/j.1530-0277.1995.tb01519.x. [DOI] [PubMed] [Google Scholar]
  • 124.Chen S, Sulik KK. Free radicals and ethanol-induced cytotoxicity in neural crest cells. Alcohol Clin Exp Res. 1996;20:1071–1076. doi: 10.1111/j.1530-0277.1996.tb01948.x. [DOI] [PubMed] [Google Scholar]
  • 125.Resendiz M, Chen Y, Öztürk NC, et al. Epigenetic medicine and fetal alcohol spectrum disorders. Epigenomics. 2013;5:73–86. doi: 10.2217/epi.12.80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Perkins A, Lehmann C, Lawrence RC, et al. Alcohol exposure during development: Impact on the epigenome. Int J Dev Neurosci. 2013;31:391–397. doi: 10.1016/j.ijdevneu.2013.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Chen YY, Ozturk NC, Zhou FC. DNA methylation program in developing hippocampus and its alteration by alcohol. PLoS One. 2013;8:e60503. doi: 10.1371/journal.pone.0060503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Liu Y, Balaraman Y, Wang G, et al. Alcohol exposure alters DNA methylation profiles in mouse embryos at early neurulation. Epigenetics. 2009;4:500–511. doi: 10.4161/epi.4.7.9925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Boschen KE, Keller SM, Roth TL, et al. Epigenetic mechanisms in alcohol-and adversity-induced developmental origins of neurobehavioral functioning. Neurotoxicol Teratol. 2018;66:63–79. doi: 10.1016/j.ntt.2017.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Liang F, Diao L, Liu J, et al. Paternal ethanol exposure and behavioral abnormities in offspring: associated alterations in imprinted gene methylation. Neuropharmacology. 2014;81:126–133. doi: 10.1016/j.neuropharm.2014.01.025. [DOI] [PubMed] [Google Scholar]
  • 131.Conner KE, Bottom RT, Huffman KJ. The impact of paternal alcohol consumption on offspring brain and behavioral development. Alcohol Clin Exp Res. 2020;44:125–140. doi: 10.1111/acer.14245. [DOI] [PubMed] [Google Scholar]
  • 132.Moody L, Chen H, Pan YX. Early-life nutritional programming of cognition—the fundamental role of epigenetic mechanisms in mediating the relation between early-life environment and learning and memory process. Adv Nutr. 2017;8:337–350. doi: 10.3945/an.116.014209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Fatemi M, Hermann A, Pradhan S, et al. The activity of the murine DNA methyltransferase Dnmt1 is controlled by interaction of the catalytic domain with the N-terminal part of the enzyme leading to an allosteric activation of the enzyme after binding to methylated DNA. J Mol Biol. 2001;309:1189–1199. doi: 10.1006/jmbi.2001.4709. [DOI] [PubMed] [Google Scholar]
  • 134.Shi Y, Whetstine JR. Dynamic regulation of histone lysine methylation by demethylases. Mol Cell. 2007;25:1–14. doi: 10.1016/j.molcel.2006.12.010. [DOI] [PubMed] [Google Scholar]
  • 135.Tran PV, Kennedy BC, Lien YC, et al. Fetal iron deficiency induces chromatin remodeling at the Bdnf locus in adult rat hippocampus. Am J Physiol Integr Comp Physiol. 2015;308:R276–R282. doi: 10.1152/ajpregu.00429.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Hou N, Ren L, Gong M, et al. Vitamin A deficiency impairs spatial learning and memory: the mechanism of abnormal CBP-dependent histone acetylation regulated by retinoic acid receptor alpha. Mol Neurobiol. 2015;51:633–47. doi: 10.1007/s12035-014-8741-6. [DOI] [PubMed] [Google Scholar]
  • 137.Athanasopoulos D, Karagiannis G, Tsolaki M. Recent findings in Alzheimer disease and nutrition focusing on epigenetics. Adv Nutr. 2016;7:917–927. doi: 10.3945/an.116.012229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Eidelman AI, Schanler RJ. Breastfeeding and the use of human milk. Pediatrics. 2012;129:e827–e841. doi: 10.1542/peds.2011-3552. [DOI] [PubMed] [Google Scholar]
  • 139.Sjögren YM, Tomicic S, Lundberg A, et al. Influence of early gut microbiota on the maturation of childhood mucosal and systemic immune responses: gut microbiota and immune responses. Clin Exp Allergy. 2009;39:1842–1851. doi: 10.1111/j.1365-2222.2009.03326.x. [DOI] [PubMed] [Google Scholar]
  • 140.Verduci E, Banderali G, Barberi S, et al. Epigenetic effects of human breast milk. Nutrients. 2014;6:1711–1724. doi: 10.3390/nu6041711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Campoy C, Escolano-Margarit MV, Anjos T, et al. Omega 3 fatty acids on child growth, visual acuity and neurodevelopment. Br J Nutr. 2012;107:S85–S106. doi: 10.1017/S0007114512001493. [DOI] [PubMed] [Google Scholar]
  • 142.Schuchardt JP, Huss M, Stauss-Grabo M, et al. Significance of long-chain polyunsaturated fatty acids (PUFAs) for the development and behaviour of children. Eur J Pediatr. 2010;169:149–164. doi: 10.1007/s00431-009-1035-8. [DOI] [PubMed] [Google Scholar]
  • 143.Innis SM. Dietary (n-3) fatty acids and brain development. J Nutr. 2007;137:855–859. doi: 10.1093/jn/137.4.855. [DOI] [PubMed] [Google Scholar]
  • 144.Martinez M. Tissue levels of polyunsaturated fatty acids during early human development. J Pediatr. 1992;120:S129–S138. doi: 10.1016/s0022-3476(05)81247-8. [DOI] [PubMed] [Google Scholar]
  • 145.Innis SM. Omega-3 Fatty acids and neural development to 2 years of age: do we know enough for dietary recommendations? J Pediatr Gastroenterol Nutr. 2009;48:S16–S24. doi: 10.1097/MPG.0b013e31819773cf. [DOI] [PubMed] [Google Scholar]
  • 146.Makrides M, Simmer K, Goggin M, et al. Erythrocyte docosahexaenoic acid correlates with the visual response of healthy, term infants. Pediatr Res. 1993;33:425–427. doi: 10.1203/00006450-199304000-00021. [DOI] [PubMed] [Google Scholar]
  • 147.Binns C, Lee M, Low WY. The long-term public health benefits of breastfeeding. Asia Pacific J Public Health. 2016;28:7–14. doi: 10.1177/1010539515624964. [DOI] [PubMed] [Google Scholar]
  • 148.Stettler N, Stallings VA, Troxel AB, et al. Weight gain in the first week of life and overweight in adulthood: a cohort study of European American subjects fed infant formula. Circulation. 2005;111:1897–1903. doi: 10.1161/01.CIR.0000161797.67671.A7. [DOI] [PubMed] [Google Scholar]
  • 149.Mayer EA, Knight R, Mazmanian SK, et al. Gut microbes and the brain: paradigm shift in neuroscience. J Neurosci. 2014;34:15490–15496. doi: 10.1523/JNEUROSCI.3299-14.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Kasubuchi M, Hasegawa S, Hiramatsu T, et al. Dietary gut microbial metabolites, short-chain fatty acids, and host metabolic regulation. Nutrients. 2015;7:2839–2849. doi: 10.3390/nu7042839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Dalile B, Van Oudenhove L, Vervliet B, et al. The role of short-chain fatty acids in microbiota–gut–brain communication. Nat Rev Gastroenterol Hepatol. 2019;16:461–478. doi: 10.1038/s41575-019-0157-3. [DOI] [PubMed] [Google Scholar]
  • 152.Kelly CJ, Zheng L, Campbell EL, et al. Crosstalk between microbiota-derived short-chain fatty acids and intestinal epithelial HIF augments tissue barrier function. Cell Host Microbe. 2015;17:662–671. doi: 10.1016/j.chom.2015.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Tong L, Wang Y, Wang Z, et al. Propionate ameliorates dextran sodium sulfate-induced colitis by improving intestinal barrier function and reducing inflammation and oxidative stress. Front Pharmacol. 2016;7:253. doi: 10.3389/fphar.2016.00253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Simeoli R, Mattace Raso G, Pirozzi C, et al. An orally administered butyrate-releasing derivative reduces neutrophil recruitment and inflammation in dextran sulphate sodium-induced murine colitis. Br J Pharmacol. 2017;174:1484–1496. doi: 10.1111/bph.13637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Byrn MA, Sheean PM. Serum 25 (OH) D and cognition: a narrative review of current evidence. Nutrients. 2019;11:729. doi: 10.3390/nu11040729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Landel V, Annweiler C, Millet P, et al. Vitamin D, cognition and Alzheimer's disease: the therapeutic benefit is in the D-tails. J Alzheimers Dis. 2016;53:419–444. doi: 10.3233/JAD-150943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Annweiler C, Montero-Odasso M, Llewellyn DJ, et al. Meta-analysis of memory and executive dysfunctions in relation to vitamin D. J Alzheimers Dis. 2013;37:147–171. doi: 10.3233/JAD-130452. [DOI] [PubMed] [Google Scholar]
  • 158.Brouwer-Brolsma EM, Dhonukshe-Rutten RAM, van Wijngaarden JP, et al. Cognitive performance: a cross-sectional study on serum vitamin D and its interplay with glucose homeostasis in dutch older adults. J Am Med Dir Assoc. 2015;16:621–627. doi: 10.1016/j.jamda.2015.02.013. [DOI] [PubMed] [Google Scholar]
  • 159.Pettersen JA, Fontes S, Duke CL. The effects of Vitamin D Insufficiency and Seasonal Decrease on cognition. Can J Neurol Sci. 2014;41:459–465. doi: 10.1017/s0317167100018497. [DOI] [PubMed] [Google Scholar]
  • 160.Stillwell W, Shaikh SR, Zerouga M, et al. Docosahexaenoic acid affects cell signaling by altering lipid rafts. Reprod Nutr Dev. 2005;45:559–579. doi: 10.1051/rnd:2005046. [DOI] [PubMed] [Google Scholar]
  • 161.Chalon S. Omega-3 fatty acids and monoamine neurotransmission. Prostaglandins Leukot Essent Fat Acids. 2006;75:259–269. doi: 10.1016/j.plefa.2006.07.005. [DOI] [PubMed] [Google Scholar]
  • 162.Bazan NG. Cell survival matters: docosahexaenoic acid signaling, neuroprotection and photoreceptors. Trends Neurosci. 2006;29:263–271. doi: 10.1016/j.tins.2006.03.005. [DOI] [PubMed] [Google Scholar]
  • 163.Vreugdenhil M, Bruehl C, Voskuyl RA, et al. Polyunsaturated fatty acids modulate sodium and calcium currents in CA1 neurons. Proc Natl Acad Sci USA. 1996;93:12559–12563. doi: 10.1073/pnas.93.22.12559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Bakulski KM, Dolinoy DC, Sartor MA, et al. Genome-wide DNA methylation differences between late-onset Alzheimer's disease and cognitively normal controls in human frontal cortex. J Alzheimers Dis. 2012;29:571–588. doi: 10.3233/JAD-2012-111223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Laurin D, Verreault R, Lindsay J, et al. Physical activity and risk of cognitive impairment and dementia in elderly persons. Arch Neurol. 2001;58:498–504. doi: 10.1001/archneur.58.3.498. [DOI] [PubMed] [Google Scholar]
  • 166.Fratiglioni L, Wang HX. Brain reserve hypothesis in dementia. J Alzheimers Dis. 2007;12:11–22. doi: 10.3233/jad-2007-12103. [DOI] [PubMed] [Google Scholar]
  • 167.Mandel S, Amit T, Bar-Am O, et al. Iron dysregulation in Alzheimer's disease: multimodal brain permeable iron chelating drugs, possessing neuroprotective-neurorescue and amyloid precursor protein-processing regulatory activities as therapeutic agents. Prog Neurobiol. 2007;82:348–360. doi: 10.1016/j.pneurobio.2007.06.001. [DOI] [PubMed] [Google Scholar]
  • 168.Rezai-Zadeh K, Shytle D, Sun N, et al. Green tea epigallocatechin-3-gallate (EGCG) modulates amyloid precursor protein cleavage and reduces cerebral amyloidosis in Alzheimer transgenic mice. J Neurosci. 2005;25:8807–8814. doi: 10.1523/JNEUROSCI.1521-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Gelfo F, Petrosini L, Graziano A, et al. Cortical metabolic deficits in a rat model of cholinergic basal forebrain degeneration. Neurochem Res. 2013;38:2114–2123. doi: 10.1007/s11064-013-1120-2. [DOI] [PubMed] [Google Scholar]
  • 170.Bakulski KM, Rozek SL, Dolinoy CD, et al. Alzheimer's disease and environmental exposure to lead: the epidemiologic evidence and potential role of epigenetics. Curr Alzheimer Res. 2012;9:563–573. doi: 10.2174/156720512800617991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Mastroeni D, Grover A, Delvaux E, et al. Epigenetic changes in Alzheimer's disease: decrements in DNA methylation. Neurobiol Aging. 2010;31:2025–2037. doi: 10.1016/j.neurobiolaging.2008.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Fuso A. The ‘golden age’ of DNA methylation in neurodegenerative diseases. Clin Chem Lab Med. 2013;51:523–534. doi: 10.1515/cclm-2012-0618. [DOI] [PubMed] [Google Scholar]
  • 173.Fuso A, Scarpa S. One-carbon metabolism and Alzheimer's disease: is it all a methylation matter? Neurobiol Aging. 2011;32:1192–1195. doi: 10.1016/j.neurobiolaging.2011.01.012. [DOI] [PubMed] [Google Scholar]
  • 174.Fuso A, Nicolia V, Ricceri L, et al. S-adenosylmethionine reduces the progress of the Alzheimer-like features induced by B-vitamin deficiency in mice. Neurobiol Aging. 2012;33:1482.e1–1482.e16. doi: 10.1016/j.neurobiolaging.2011.12.013. [DOI] [PubMed] [Google Scholar]
  • 175.Klein CJ, Botuyan M-V, Wu Y, et al. Mutations in DNMT1 cause hereditary sensory neuropathy with dementia and hearing loss. Nat Genet. 2011;43:595–600. doi: 10.1038/ng.830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Winkelmann J, Lin L, Schormair B, et al. Mutations in DNMT1 cause autosomal dominant cerebellar ataxia, deafness and narcolepsy. Hum Mol Genet. 2012;21:2205–2210. doi: 10.1093/hmg/dds035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Mohajeri MH, Troesch B, Weber P. Inadequate supply of vitamins and DHA in the elderly: implications for brain aging and Alzheimer-type dementia. Nutrition. 2015;31:261–275. doi: 10.1016/j.nut.2014.06.016. [DOI] [PubMed] [Google Scholar]
  • 178.Araújo JR, Martel F, Borges N, et al. Folates and aging: Role in mild cognitive impairment, dementia and depression. Ageing Res Rev. 2015;22:9–19. doi: 10.1016/j.arr.2015.04.005. [DOI] [PubMed] [Google Scholar]
  • 179.De Jager CA, Oulhaj A, Jacoby R, et al. Cognitive and clinical outcomes of homocysteine-lowering B-vitamin treatment in mild cognitive impairment: a randomized controlled trial. Int J Geriatr Psychiatry. 2012;27:592–600. doi: 10.1002/gps.2758. [DOI] [PubMed] [Google Scholar]
  • 180.Burdge GC, Lillycrop KA. Fatty acids and epigenetics. Curr Opin Clin Nutr Metab Care. 2014;17:156–161. doi: 10.1097/MCO.0000000000000023. [DOI] [PubMed] [Google Scholar]
  • 181.Wang X, Hjorth E, Vedin I, et al. Effects of n-3 FA supplementation on the release of proresolving lipid mediators by blood mononuclear cells: the OmegAD study. J Lipid Res. 2015;56:674–681. doi: 10.1194/jlr.P055418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Chiu S, Woodbury-Fariña MA, Shad MU, et al. The role of nutrient-based epigenetic changes in buffering against stress, aging, and Alzheimer's disease. Psychiatr Clin North Am. 2014;37:591–623. doi: 10.1016/j.psc.2014.09.001. [DOI] [PubMed] [Google Scholar]

Articles from AIMS Neuroscience are provided here courtesy of AIMS Press

RESOURCES