Next Article in Journal
Can Immune Suppression and Epigenome Regulation in Placenta Offer Novel Insights into Cancer Immune Evasion and Immunotherapy Resistance?
Previous Article in Journal
H3K4 Methylation in Aging and Metabolism
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Contribution of Epigenetic Inheritance Processes on Age-Related Cognitive Decline and Alzheimer’s Disease

by
Aina Bellver-Sanchis
,
Mercè Pallàs
and
Christian Griñán-Ferré
*
Pharmacology Section, Department of Pharmacology, Toxicology, and Therapeutic Chemistry, Faculty of Pharmacy and Food Sciences, Institute of Neuroscience, University of Barcelona (NeuroUB), Av Joan XXIII 27-31, 08028 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Epigenomes 2021, 5(2), 15; https://doi.org/10.3390/epigenomes5020015
Submission received: 21 May 2021 / Revised: 15 June 2021 / Accepted: 17 June 2021 / Published: 18 June 2021

Abstract

:
During the last years, epigenetic processes have emerged as important factors for many neurodegenerative diseases, such as Alzheimer’s disease (AD). These complex diseases seem to have a heritable component; however, genome-wide association studies failed to identify the genetic loci involved in the etiology. So, how can these changes be transmitted from one generation to the next? Answering this question would allow us to understand how the environment can affect human populations for multiple generations and explain the high prevalence of neurodegenerative diseases, such as AD. This review pays particular attention to the relationship among epigenetics, cognition, and neurodegeneration across generations, deepening the understanding of the relevance of heritability in neurodegenerative diseases. We highlight some recent examples of EI induced by experiences, focusing on their contribution of processes in learning and memory to point out new targets for therapeutic interventions. Here, we first describe the prominent role of epigenetic factors in memory processing. Then, we briefly discuss aspects of EI. Additionally, we summarize evidence of how epigenetic marks inherited by experience and/or environmental stimuli contribute to cognitive status offspring since better knowledge of EI can provide clues in the appearance and development of age-related cognitive decline and AD.

1. Introduction

Observations of inheritance of the genomic expression state not following Mendelian laws drew scientists’ attention many years ago. Abundant evidence shows that the environment can reversibly modulate the gene expression and, thus, fits well with the idea that the genome is not static as once thought. In 1942, Waddington coined the term “epigenetics” for the first time to describe the bridge between genotype and phenotype during development [1]. Albeit the term has been redefined multiple times, we refer to epigenetics as the mechanisms that maintain the memory of a phenotype chromosome without alterations in the DNA sequence, serving as an important bridge between environmental stimuli and gene expression. These molecular events can occur in the form of chromatin remodeling, covalent modifications of DNA, post-translational modifications (PTMs) histones, and activity of non-coding RNAs (ncRNA), among others [2,3]. Furthermore, epigenetic mechanisms can modulate from transgenerational inheritance to gene activity maintenance throughout life such as adult neurons [4].
Several studies accept that changes in epigenetic modifications are associated with aging [2,4,5]. Aging is an inevitable outcome of life characterized by the progressive functional decline of organisms at the molecular, cellular, and/or physiological levels. This biological process is one of the main factors for human diseases such as cancer, neurodegeneration, and cardiovascular diseases [6]. Similarly, it has been described that epigenetic mechanisms play an important role in the development of neurodegeneration [2]. These mechanisms have been involved in the functioning of the nervous system, being responsible for early developmental programming [7,8], responses to external or environmental stimuli [9,10,11], and participating in neurological disorders and in cognition, activity-dependent changes in synaptic plasticity [12,13], and learning and memory formation [9,14,15,16,17].
Memory is the ability to acquire, store, and retrieve learned information and is crucial for individual adaptive behavior [18]. There are two major types of memories: short-term memories, which last for a few hours, and long-term memories, which persist for several days or longer. Understanding the underlying basis of how memory remains is still a pending task in the field of neuroepigenetics. Richard Semon first coined “the memory engram” [19], suggesting that learning induces persistent changes in specific brain cells that retain information and are subsequently reactivated under the proper conditions of recovery [20]. Moreover, Roberson and Sweatt described the “mnemogenic reactions”, which are a chain of biological reactions that occurs to store long-term memory after its formation. Examples of these mechanisms are de novo protein synthesis and DNA histone modifications [21]. Therefore, epigenetic modulation has been associated with learning and memory, and many recent studies have shown that these modifications could support memory formation and maintenance through a cascade of specific changes to gene expression, including enduring memories. Likewise, those epigenetic modifications play an important role in the function and homeostasis of the central nervous system (CNS). Indeed, a growing body of evidence reported that the CNS’s regulation associated with long-term changes in gene transcription is mediated by modulation of chromatin structure. This regulation is critical because approximately 80–95% of protein-coding genes are expressed in the human brain throughout the organisms’ lives, so a further understanding of CNS’s regulation is a really big necessity [22]. Therefore, the epigenetic marks accumulated and maintained within the epigenome throughout life carry important information about the interaction between the individual and their environment. Most human diseases, including neurodegenerative disorders, result from alterations in multiple molecular pathways together with the interaction of an environmental factor [3]. For instance, it has been described that Alzheimer’s disease (AD) might have at least a partial epigenetic etiology [2,16,23].
Here, we review the contribution of epigenetic inheritance (EI) in age-related cognitive decline, which plays an important role in our understanding of disease and disease risk. We first describe the prominent role of epigenetic factors in memory processing and its contribution to neurodegenerative diseases. Then, we discuss aspects of EI, briefly describing the mechanisms involved. Further, we summarize evidence of how epigenetic marks inherited by experience and/or environmental stimuli contribute to cognitive status offspring, focusing on the relationship among epigenetics, cognition, and neurodegeneration disorders, such as AD. On the one hand, this information can be very relevant for the offspring, providing an adaptive advantage [24,25]. On the other hand, the accumulated epigenetic load could also trigger risk factors for cognitive disorders [26]. Thus, we conclude with some future perspectives, since the target of modulation to a new environment and/or stimulus could help better prepare the offspring for the challenging environmental conditions they might encounter during their lives, showing the great advantage of EI over the classical inheritance.

2. The Role of Epigenetic Mechanisms in Learning and Memory Formation

As we aforementioned, memory formation allows us to acquire information and store it, producing long-lasting brain and behavior changes [27]. Learning and memory formation requires the structure and functional remodeling of synapses through regulated cellular and molecular machines. Neuronal activation triggers the modification, trafficking, and synthesis of new proteins from memory-related molecules through intracellular signaling pathways, gene transcription, and protein synthesis [28]. However, understanding the underlying mechanisms of how these changes in memory-related molecules are maintained for the long-term in supporting various cellular events during memory formation, consolidation, and retrieval has emerged as the main goal in the neuroscience field. Many studies have shown evidence of the changes in active epigenetic markers during learning and memory processes [29,30]. DNA is packaged into chromatin within the nucleus. Overall, this supranucleoprotein complex is composed of DNA, histones, non-histone proteins, and interacting RNA molecules [31]. Among other processes, which occurs at different levels, gene expression regulation is especially crucial for proper memory processing, as some genes need to be activated while some genes must be suppressed [31]. Indeed, chromatin may adopt one of two major states interchangeably, between heterochromatin (a compact form) and euchromatin (a relaxed form) states. In other words, heterochromatin is resistant to the binding of various proteins, such as transcriptional machinery, whereas euchromatin is open to modifications and transcriptional processes [32].
A body of evidence clearly showed the interplay between the process of learning and memory and the structural changes in chromatin associated with gene regulation (Figure 1). Several studies supported the critical role of DNA methylation in memory formation and maintenance and neuronal function, particularly in some brain regions, such as the hippocampus, prefrontal cortex, and amygdala [33]. Approximately 60–80% of the CpG dinucleotides in the human genome are methylated, mainly catalyzed by DNA methyltransferases (DNMTs). Genetic and/or pharmacological inhibition of DNMTs impaired memory consolidation in various behavioral tasks in various brain regions [9,34,35,36,37,38,39,40]. Likewise, recent work observed increased spatial memory and learning-induced activity of ten-eleven translocation 1 (TET1), a methylcytosine dioxygenase that catalyzes the oxidation of 5-methylcytosine (5-mC) to 5-hydroxymethylcytosine (5-hmC) [41,42]. However, in the opposite direction, a work reported that Tet1 knock-out (KO) downregulated expression of multiple neuronal activity-regulated genes, including Neuronal PAS Domain Protein 4 (Npas4), c-Fos, and Activity Regulated Cytoskeleton Associated Protein (Arc), and impaired Morris water maze (MWM) memory [43].
Moreover, DNA methylation inhibits the binding of transcriptional machinery inducing gene silencing [33]. In this regard, Miller et al. [36] found that the synaptic plasticity gene reelin was demethylated and transcribed. However, while it is true that DNA methylation is typically related to the repressions of gene transcription inhibiting the binding of transcriptional machinery to binding sites, another study suggests that DNA methylation repress the expression of memory suppressor genes, such as protein phosphatase 1 (PP1), and thus may regulated memory interacting with histone acetylation levels [44]. These findings illustrate that various DNA methylation forms respond to learning and are involved in the memory consolidation process. Furthermore, DNA methylation is dynamically regulated since memory formation requires hypermethylation of memory suppressor genes and hypomethylation of promoter genes.
On the other hand, a wealth of studies revealed that chromatin modifications are involved during memory formation and are related to gene expression. Patterns of histone PTMs were important for memory consolidation and retention in mice that decreased PP1 levels [45]. Regarding its role, many groups have since demonstrated that histone deacetylases (HDACs) activity and/or inhibition of histone acetyltransferase (HAT) activity promote the reductions of histone acetylation patterns, impairing memory [46,47,48,49,50,51,52], enhancing long-term potentiation (LTP) [53,54,55], and increasing synaptic plasticity [56,57,58,59]. An early study showed that gene expression and epigenetic alterations are required for long-term memory-related synaptic plasticity in Aplysia sensory neurons. It has been described that histone acetylation was caused by the facilitatory transmitter 5-HT activating cyclic AMP-responsive element-binding (CREB) protein 1 (CREB1). In contrast, histone deacetylation was related to the inhibitory transmitter FMRFa, which causes CREB2 activation [56]. Likewise, histone phosphorylation has been begun to be highlighted in initial memory formation [15]. Nevertheless, unlike histone acetylation or phosphorylation are often associated with transcriptional activation [50], histone methylation can modulate transcriptional activation and repression [47]. Although histone methylation appears to have opposites functions, Gupta and colleagues [15] suggest that active gene expression and repression are necessary for memory formation. Transcription of memory supporting genes was associated with the increase of histone H3 lysine 4 trimethylated (H3K4me3) [51], whereas its inhibition was mediated by histone H3 lysine 9 dimethylated (H3K9me2) mark [15,51]. Regarding this last epigenetic mark, inhibition of G9a/GLP, a histone methyltransferase (HTM), enhanced long-term memory formation and was accompanied by increased acetylation of H3K9 in the entorhinal cortex [60]. Moreover, alterations of the activity of histone-modifying enzymes, including CREB binding-protein, have been described to affect memory storage [61].
Additionally, last but not least, the emerging interest of active microRNAs (miRNAs) highlighted its role in mediating the regulation of gene transcription in the initial formation or fear extinction memory [62,63,64,65] (see Table 1 in [66]). Specific miRNAs involved in the regulation of dendritic arborization and synaptogenesis. Among them, miR-125b negatively regulate synaptic plasticity via targeting NR2A mRNA, miR-132 overexpression modulates synapse number and miniature excitatory postsynaptic currents (mEPSC) [67]. Moreover, miR-485 colocalized with synaptic vesicle glycoprotein (SV2A) in dendrites and was shown to regulate dendritic spine number and synapse formation [68]. Besides, miR-34a and miR-182 were actively regulated in the amygdala when fear memory formation [63,64].

3. Epigenetic Deregulation in Neurodegenerative Diseases: AD as a Model

Globally, 50 million people are affected by dementia, increasing to 152 million in 2050 [69]. Hence, the prevalence of AD in people of 65 years of age and older increases by a factor of two every five years [70,71]. The most common neurodegenerative disease is AD, which is associated with progressive and irreversible neurodegeneration. Clinically, AD is characterized by behavioral, functional, and cognitive deficiencies; and molecularly, the deposition of extracellular amyloid-β (Aβ) plaques and the aggregation of intracellular neurofibrillary tangles (NFTs) containing hyperphosphorylated Tau protein [72,73] are two of the pathology’s hallmarks.
Given that the main risk factor for AD is aging, which is associated with cognitive decline, chromatin alteration that occurs in the old brain might therefore be crucial targets to prevent cognitive deterioration [74]. In this regard, numerous studies showed growing evidence that epigenetic dysregulations are involved in AD. Thus, scientists suggest that epigenetic mechanisms play an important role in the development of neurodegeneration. These mechanisms have been involved in the functioning of the nervous system and participate in neurological disorders and in cognition, learning, and memory formation. The following table (Table 1) compiles some of the findings where epigenetic mechanisms modulated critical events in AD.
Table 1. Alteration of epigenetic mechanisms observed in AD.
Table 1. Alteration of epigenetic mechanisms observed in AD.
Epigenetic MechanismEpigenetic AlterationLevels in ADModelOutcomeRefs
DNA methylationDnmt1
Dnmt3a
DKO miceLoss of LTP at CA1 synapses in the hippocampus and deficits in hippocampus-based learning and memory[34]
Tet1C57B6/L miceDeficit in long-term contextual fear memory[41]
TREM2HumanIncreased immune genes[75]
PIN1HumanIncreased AD risk[76]
TNF-αHumanEncodes multifunctional pro-inflammatory cytokines[77]
GSK3BHumanIncreased Aβ deposition and NFTs[78]
IL-6
IL-1β
HumanIncreased inflammatory responses[79]
APP *HumanIncreased Aβ deposition[78,80,81]
MAPTHumanIncreased Tau protein levels[82]
PSEN1TgCRND8 mice
Human
Increased Aβ deposition[83,84]
Histone modificationsHDAC1
HDAC2
HDACKO mice
Ck-p25 mice
Sprague-Dawley rats
Increased Aβ deposition
Block expression neuroplasticity genes
Reduces the histone acetylation of important genes for learning and memory
Decrease of dendritic spine density, synapse number
[47,57,85]
HDAC3HDAC3-Flox miceImpairment of long-term memory for object recognition[55]
HDAC4HDAC4KO miceImpairment of synaptic plasticity and memory formation[59]
HDAC6HDAC6KO micePotential modulator of Tau phosphorylation and its aggregations[86]
SIRT1N2aSwe/APP cells
SIRT-null and SIRT1F/F mice
Human
Increased formation of Aβ peptides
Downregulation of alpha-secretase ADAM10
Tau protein aggregation
[87,88]
H3K9acLong-Evans ratsImpairment of learning process[89]
H3K27ac↑↓Ck-p25 mice
C57BL/6mice
Human
Increased immune genes
Decreased on synaptic plasticity genes
[90,91]
H4K12acC57BL/6miceAge-related memory loss[92]
H3K4me3Fischer-344 rats
C57BL/6mice
Increased of somatostatin and cortistatin genes
Age-related memory decline
[93,94]
H3K9me2Fischer-344 ratsDecreased Bdnf transcription
Age-related memory decline
[93]
H3K36me Age-related memory decline[95]
H3K79meSAMP8
H4K20me
miRNAmiR-29HumanIncreased Bace1 expression
Increased Aβ deposition
[96]
miR-107
miR-132APP/PS1 miceIncreased Aβ deposition
Increased Tau hyperphosphorylation
[97]
miR-138N2a/APP and HEK293/Tau cellsIncreased Tau hyperphosphorylation[98]
miR-195Sprague-Dawley rats[99]
miR-206Tg2576AD mice
Human
Downregulation of BDNF gene expression[100]
miR-132miR-132/212 KO mice
Human
Tau protein overexpression, hyperphosphorylation, and aggregation[101]
miR-219D. melanogaster that produces human TauBlock of repression Tau synthesis[102]
Abbreviations: DKO: double knock-out; TREM2: triggering receptor expressed on myeloid cells 2; PIN1: peptidyl-prolyl cis-trans isomerase NIMA-interacting 1; TNF-α: tumor necrosis factor-α; GSK3B: glycogen synthase kinase 3 beta; IL-6: interleukin 6; IL-1β: interleukin 1β; APP: amyloid-beta precursor protein; MAPT: microtubule-associated protein tau; SIRT1: sirtuin 1; Bace1: β-secretase-1; ADAM10: A disintegrin and metalloproteinase 10; Bdnf: brain-derived neurotrophic factor; D. melanogaster: Drosophila melanogaster. * These studies used a small cohort, and the findings could not be confirmed in a larger cohort [103].

4. Epigenetic Inheritance (EI)

In general, epigenetic changes that occur during the lifetime of an individual’s germline are not generally thought to be inherited into subsequent generations. Indeed, DNA and histone modifications are erased and re-established in each generation through a developmental reprogramming process by modifications by various epigenetic modifying enzymes, histone variant replacement, and chromatin remodeling enzymes [104,105]. Thus, in each reprogramming window, a specific set of mechanisms regulates the erasure and re-establishment of epigenetic changes. Epigenetic reprogramming occurs during development at two distinct stages: in primordial germ cells (PGCs), once they have reached the embryonic gonads, and in the early embryo beginning in the zygote [106]. Regarding the role of DNA methylation during reprogramming, there are at least three rounds. The first occurs just after fertilization, in the zygote and early cleavage stages, to erase gametic epigenomic marks.
Moreover, the other reprogramming process occurs in the germline, where the paternal and maternal somatic programs are erased [105]. Besides, the last wave of epigenetic reprogramming occurs in the developing germline; the post-migratory PCGs residing in the genital ridges undergo genome-wide DNA demethylation, which includes erasure of genomic imprints and extensive chromatin remodeling [107]. In addition, a global loss of several histone modifications, such as H3K27me3 and H3K9ac, is observed after demethylation of DNA, indicating that widespread DNA repair might also be associated with global remodeling of nucleosomes in PGCs [108]. After all, the epigenome reaches its most ‘naive’ state during development and sets the scene for the acquisition of new epigenetic information and genomic imprints. However, there is evidence that at least some epigenetic alterations can escape this re-establishment of the epigenome [109], becoming evident that the environment experienced during an individual’s lifetime might impact their health and influences the vulnerability of offspring to many pathological conditions [110].
Therefore, in some cases, these effects may be transmitted for several generations, even if the environment has reverted. EI is defined as the transmission of non-DNA base sequence information between generations via the germline [111,112]. Exposure in the parenteral generation (P0) to environmental stressors can affect offspring health increasing the risk for specific phenotypes in subsequent generations (first filial generation (F1), second filial generation (F2), third filial generation (F3), and next generations. When the exposure is maternal, the F1 is directly exposed to the environment as fetuses in utero. Besides, its PGCs, which will become the F2, are also subjected to the stressor. Due to them already present and developing in the uterus.
In contrast, P0 and his PGCs that give rise to the F1 generation are directly exposed to the environmental insult in the paternal linage. Intergenerational EI refers only to the generations that were directly exposed to the environment. Thus, it comprises the transmission of epigenetic marks from one generation to the next, up to F1 in paternal lineage, while in maternal lineage, it would be considered up to F2. This includes parental–effect phenotypes, such as the passage of RNA molecules and maternal proteins from oocytes to embryos, or it can be mediated by chromatin changes in the exposed fetuses or germ cells that are not inherited further. Otherwise, the passage of information in the F2 in the case of paternal transmission or F3 in the case of maternal transmission, which was never exposed to parental stress, is defined as a transgenerational epigenetic inheritance (TEI) [113,114] (Figure 2). TEI supports stable epigenetic changes that persist through epigenetic reprograming and are transmitted to the newly formed germ cells. In the case of chromatin marks that involve histones or DNA methylation, the transgenerational effects are generally short-lived, lasting three or four generations [115,116]. Small RNA-mediated inheritance is also short-lived, although it is heritable for up to 80 generations in Caenorhabditis elegans (C. elegans) [117].

5. Brief Understanding of Mechanism Candidates in EI

The mechanism underlying EI is currently at the forefront of epigenetic research using worms, flies, and rodent models. At this point in our review, we briefly describe the molecular understanding of the epigenetic changes that underlie phenotypes and how they are transmitted and maintained for subsequent generations. These molecular mechanisms of inheritance might contribute to epigenetic memory on their own or in different combinations.
Notably, DNA methylation is considered an important mechanistic candidate for EI, being its role often discussed. To consider DNA methylation as a heritable epigenetic mark, it should be environmentally modulated, mitotically or meiotically stable [111,112], escaping the epigenetic reprogramming PGCs and post-fertilization embryos [118,119]. In fact, this epigenetic “erasure” generates a totipotent state required to form subsequent generations, resetting epigenetic marks [120]. Thus, abnormal DNA methylation patterns caused by environmental stressors would have to generate resistance to reprogramming to appear and cause phenotypes to the next generations. Interestingly, 5-mC within specific genomic regions, including repeat sequences, such as intracisternal A particles (IAPs), and rare regulatory elements is resistant to resetting, maintaining genomic stability during widespread erasure [121], for example, 5mC has often been proposed as a mechanism underlying TEI [122]. One of the most classic TEI models involving an IAP element is the agouti viable yellow (Avy) epiallele [109]. It is well described that hypomethylation of a cryptic promoter in the IAP element upstream of the agouti gene is inherited over several generations through the maternal line [109,123] and can be manipulated by environmental factors [124,125]. Beyond Avy ’s model, it has not been easy to identify differentially methylated regions (DMR) in the genome that were stable for multiple generations correlated with a phenotype.
Additionally, similar resetting events also occur during histone modifications, although the role of histone alterations remain unclear. In many organisms, most of the histones in sperm are globally removed during spermatogenesis and replaced by protamines, allowing for supercompaction of DNA [33]. Furthermore, retaining some histone modifications in the germline and zygote during epigenetic re-establishment forms another possibility of inheritance to subsequent generations, while histones are retained throughout the genome in the oocyte [126,127,128]. It has recently been suggested that histone alterations and their regulatory enzymes involve epigenetic memory across generations. For example, a polycomb repressive complex 2 (PRC2) transmits memory of X-chromosome repression transgenerationally regulating H3K27me3 in C. elegans [129]. Likewise, in the mouse model, the ectopic expression of lysine-specific histone demethylase 1A (KDM1a), a human H3K4 demethylase, during spermatogenesis causes developmental abnormalities up to F3 [130]. Nevertheless, wild-type (WT) sperm of the F1 generation presented standard H3K4me2 profile and standard DNA methylation patterns. Therefore, while it is true that disruption of the histone methylation machinery may initiate TEI, a second epigenetic mechanism may be necessary.
Remarkably, ncRNAs have been well-studied as a mechanistic candidate of TEI research. While the manner in which environmental stressors experienced by adult somatic cells affect the establishment or maintenance of methylation of DNA and histone modifications in gametes remains unclear, extensive evidence that transmission epigenetic information from somatic to germline RNA has helped clarify our understanding of epigenetic inheritance. Small ncRNAs act as sequence guides directing DNA or histone methylation and by post-transcriptionally regulating mRNA [131]. One of the best models to study RNA inheritance was C. elegans [117]. Starvation-induced expression of small RNAs or exogenous RNA interference (RNAi) resulted in heritable gene silencing that persists for multiple generations [132,133].
Moreover, it was hypothesized that piwi-interacting RNA (piRNA), which typically mediated transposon silencing in the germline, and exogenous RNAi might converge into a common pathway requiring small secondary RNAs and chromatin regulatory complexes to ultimately bring about stable TEI [132]. Otherwise, to cause phenotypes in mice, the ncRNA sperm exposed to an environmental stress factor was sufficient [134,135,136]. Deep sequencing of F1 sperm revealed upregulation of various miRNAs, which led to similar behavioral phenotypes in their offspring [136]. Thus, germ cells have extensive RNA patterns, and their complex profiles are increased by the chemical modification of RNAs, such as methylation [137], providing an additional layer of epigenetic information that might be transmitted to the next generation.

6. Evidence in Model Organisms: From One Generation to the Next Generations

There is growing evidence of the impact of adversity in early life or environmental stimulus on offspring where the contribution of epigenetic alterations in memory formation has been described [8,138,139,140]. One of the best-understood models in this field is the nematode C. elegans. Their features, such as its short lifecycle, the amenability for controlling many environmental and genetic variables, and the facility to continuously keep track of phenotypic changes during many generations, make them an advantageous experimental model for TEI research. Although the RNAi mechanism is the best studied in worms [141,142], robust TEI of both active and repressive histones PTMs were also described. In contrast, as we mentioned above, DNA methylation is not detectable in this model, as observed in D. melanogaster (Table 2).
Furthermore, several well-controlled research paradigms have been developed in rodents where an external stimulus leads to the phenotype changes in subsequent generations. Many of these works have focused on dietary intervention or behavioral studies. Outcomes of some studies on how epigenetic changes induced by different environmental experiences can contribute to subsequent generations’ cognitive function is summarized in Table 3.

7. The Relevant Contribution of TEI in AD Heritability

It is well established that age-related diseases are the result of the accumulation of epigenetic marks acquired throughout life, although at the same time, some works also reported that these modifications could have occurred during early adult life [156]. Nevertheless, what is more interesting, as we see throughout this review, the scientific evidence seems to describe that the transmission of acquired epigenetic traits is possible and is even maintained across multiple subsequent generations (TEI) [157], which might contribute to an increased risk of developing diseases, such as neurodegenerative diseases.
Taking into account that there are two types of AD: familial or early-onset AD (EOAD) (<1% of all AD cases), and sporadic or late-onset AD (LOAD) (>99% of cases). On the one hand, segregation analyses of EOAD cases have been linked to mutations in the genes encoding APP, presenilin 1 (PSEN1), and PSEN2 [158], which are involved in the main molecular mechanism of AD pathogenesis, triggering the cascade of amyloid-β deposition, resulting in cognitive impairments. Nevertheless, these mutations explain only 5–10% of the occurrence of EOAD. On the other hand, the genetics of LOAD is much more complex than that of EOAD. Genome-wide association study (GWAS) has been carried out to elucidate the remaining genetic risk for AD, identifying over 20 genomic loci [159]. One of the most robust genetic risk loci for LOAD is the apolipoprotein E gene (APOE) ε4. However, those genetic changes only explain around a quarter of the total heritability, thereby AD seems to be poorly driven by genetics [160,161]. In fact, the value of APOE ε4 in predicting disease is limited since it is neither necessary nor sufficient to cause the disease. Up to 75% of individuals heterogeneous for APOE ε4 do not develop AD during life, and up to 50% of people with AD do not carry the high-risk ε4 allele [161]. Thus, most disease heritability remains unaccounted for, and the concept of ‘missing heritability’ has gained great attention [162].
Studies in monozygotic twins in humans provide the most accurate way to estimate the disease heritability. In 2006 a large twin study reported that the heritability for AD was estimated to be 58% in the full model and 79% in the best-fitting model, with the balance of variation explained by nonshared environmental influences [163]. The occurrence of phenotypical differences in monozygotic twins over time is thought to arise from epigenetic changes induced by different environments or stochastic events [164], thereby strengthening the idea that epigenetic changes resulting in altered gene expression may also be involved in the pathogenesis of LOAD. More interesting, LOAD’s etiology support that environmental factors through epigenetic phenomena are likely to contribute to the pathology progression, modifying disease risk and health outcomes [165,166,167]. Thus, this idea might help explain, in part, why some family members have a higher predisposition to certain diseases, as it depends on the environment–epigenome interactions that evolve during their individual life course.
In fact, a systematic review and meta-analysis based on the current evidence propose 21 nongenetic factors for the prevention of AD, such as diabetes, depression, hypertension, obesity in late life, depression, and stress, among others [168]. Accordingly, these effects of environmental stimuli during pregnancy, parental care, adulthood, and germline transmission have all been suggested as possible precursors of epigenetic changes that can be inherited transgenerationally [153,169]. How these nongenetic factors affect AD are not fully established. However, for instance, environmental enrichment (EE) contributions to cognitive improvement in 5xFAD and SAMP8 seem to support those epigenetic marks are important players [170,171]. Moreover, it is well established that during the prenatal and postnatal periods of brain development [172,173], there is an enhanced sensitivity to environmental factors, for example, key mediators of neural plasticity, such as BDNF, nerve growth factor (NGF), NT3 protein levels, expression of N-methyl-D-aspartate receptor subunits, and measures of long-term synaptic potentiation are strongly affected [174,175,176]. For example, long-term EE promoted neural plasticity through increasing levels of growth factors such as BDNF and NGF [177] via changes in DNA methylation of gene promoter in rat hippocampus [178].
Notwithstanding, both in humans and animals, there is little evidence about the molecular and epigenetic mechanisms underlying these heritability processes across generations in neurodegenerative diseases, including AD (Table 4).

8. Conclusions and Future Perspectives

It is well established that genetics only explain a small part of the total heritability, leading to different environmental stimuli and lifestyles that are important in the predisposition of human diseases. Experiments in model organisms have demonstrated that acquired traits from environmental or lifestyle factors may be responsible for the influence of genetic variability in subsequent generations. As we described above, we outlined the epigenetic contribution in the CNS’s regulation, modulating cognition function, and learning and memory formation. Moreover, several studies showed that impairment of epigenetic mechanisms promotes the alteration of gene expression underlying several age-related diseases. Hence, neurodegenerative disorders result from alterations in multiple molecular pathways together with the interaction of environmental factors, such as AD. The prevalence of AD is increasing during the last year, and although great efforts are focused on understanding the mechanisms involved in the pathology, none of the approved treatments turned out to be a total success. Hence, new insights in this field are urgently necessary. AD is considered multifactorial diseases due to the complexity of its aetiology, which appears to have at least a partial epigenetic aetiology. In fact, the LOAD represents 99%, and the genetic load only explain a small part of the cases. Twin studies strengthen environmental factors through epigenetic phenomena are likely to contribute to the pathology progression.
Given that epigenetics is the bridge between the environment and the epigenome, epigenetic alterations could contribute to improve our understanding of disease risk and health outcomes. Their potential reversibility allows predicting future disease risk and validating new therapeutic targets, as epigenetic intervention can modify the hippocampal transcriptome, potentially reversing age-related cognitive dysfunction. Epigenetics, therefore, is of considerable translational importance in the field of neuroprotection.
In fact, epigenetic alterations of DNA, histones, and ncRNAs, and subcellular or related structures can be inherited through the germline causing important changes in the phenotype of the offspring. This review has outlined some of the evidence for an epigenetic inheritance, both intergenerational and transgenerational, providing examples of how such regulation can contribute to the process of learning and memory. An example of the TEI phenomena described that temperature-induced change in expression from a transgenic C. elegans was maintained for up to at least 14 generations through histone methylation. Likewise, RNAi-induced TEI involved the heritable silencing by set-25. These findings point out to set-25, an ortholog of human G9a methyltransferase, as an important target to explain this phenomenon. On the other hand, maternal RSV supplementation prevented cognitive impairment in mice offspring, as has also been observed after RSV-supplemented HFD, by DNA methylation. BDNF DNA methylation was altered by prenatal stress induction, and thus proposing DNMTs as important targets.
In summary, these studies demonstrate that alterations in epigenetic modifications and their regulatory enzymes are capable of being acquired by offspring, orchestrating pathways related to cognitive function. Further studies will help shed light on these processes, pointing out new targets as a source of potential biomarkers diagnosing neurodegenerative diseases and as a potential target for therapeutic strategy.

Author Contributions

Conceptualization, C.G.-F.; investigation, C.G.-F., A.B.-S. and M.P.; writing—original draft preparation, C.G.-F. and A.B.-S.; funding acquisition, M.P. All authors have read and agreed to the published version of the manuscript.

Funding

Study was supported by the Ministerio de Economía, Industria y Competitividad (Agencia Estatal de Investigación, AEI) and Fondo Europeo de Desarrollo Regional (MINECO-FEDER) (SAF2016-33307 and PCIN-2015-229, and Generalitat de Catalunya (2017 SGR 106).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Waddington, C.H. The Epigenotype. Int. J. Epidemiol. 2011, 41, 10–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Lardenoije, R.; Pishva, E.; Lunnon, K.; van den Hove, D.L. Neuroepigenetics of Aging and Age-Related Neurodegenerative Disorders, 1st ed.; Elsevier Inc.: Amsterdam, The Netherlands, 2018; Volume 158, ISBN 9780128125922. [Google Scholar]
  3. Landgrave-Gómez, J.; Mercado-Gómez, O.; Guevara-Guzmán, R. Epigenetic mechanisms in neurological and neurodegenerative diseases. Front. Cell. Neurosci. 2015, 9, 58. [Google Scholar] [PubMed] [Green Version]
  4. Delgado-Morales, R.; Agís-Balboa, R.C.; Esteller, M.; Berdasco, M. Epigenetic mechanisms during ageing and neurogenesis as novel therapeutic avenues in human brain disorders. Clin. Epigenet. 2017, 9, 67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Van Raamsdonk, J.M. Mechanisms underlying longevity: A genetic switch model of aging. Exp. Gerontol. 2018, 107, 136–139. [Google Scholar] [CrossRef] [PubMed]
  6. López-Otín, C.; Blasco, M.A.; Partridge, L.; Serrano, M.; Kroemer, G. The hallmarks of aging. Cell 2013, 6, 1194–1217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Bale, T.L. Epigenetic and transgenerational reprogramming of brain development. Nat. Rev. Neurosci. 2015, 16, 332–344. [Google Scholar] [CrossRef]
  8. Fagiolini, M.; Jensen, C.L.; Champagne, F.A. Epigenetic influences on brain development and plasticity. Curr. Opin. Neurobiol. 2009, 19, 207–212. [Google Scholar] [CrossRef] [Green Version]
  9. Day, J.J.; Childs, D.; Guzman-Karlsson, M.C.; Kibe, M.; Moulden, J.; Song, E.; Tahir, A.; Sweatt, J.D. DNA methylation regulates associative reward learning. Nat. Neurosci. 2013, 16, 1445. [Google Scholar] [CrossRef]
  10. McEwen, B.S.; Eiland, L.; Hunter, R.G.; Miller, M.M. Stress and anxiety: Structural plasticity and epigenetic regulation as a consequence of stress. Neuropharmacology 2012, 62, 3–12. [Google Scholar] [CrossRef] [Green Version]
  11. Stankiewicz, A.M.; Swiergiel, A.H.; Lisowski, P. Epigenetics of stress adaptations in the brain. Brain Res. Bull. 2013, 98, 76–92. [Google Scholar] [CrossRef] [Green Version]
  12. Cortés-Mendoza, J.; de León-Guerrero, S.D.; Pedraza-Alva, G.; Pérez-Martínez, L. Shaping synaptic plasticity: The role of activity-mediated epigenetic regulation on gene transcription. Int. J. Dev. Neurosci. 2013, 31, 359–369. [Google Scholar] [CrossRef] [PubMed]
  13. Clayton, D.F.; Anreiter, I.; Aristizabal, M.; Frankland, P.W.; Binder, E.B.; Citri, A. The role of the genome in experience-dependent plasticity: Extending the analogy of the genomic action potential. Proc. Natl. Acad. Sci. USA 2020, 117, 23252–23260. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Lubin, F.D.; Roth, T.L.; Sweatt, J.D. Epigenetic regulation of BDNF gene transcription in the consolidation of fear memory. J. Neurosci. 2008, 28, 10576–10586. [Google Scholar] [CrossRef] [PubMed]
  15. Gupta, S.; Kim, S.Y.; Artis, S.; Molfese, D.L.; Schumacher, A.; Sweatt, J.D.; Paylor, R.E.; Lubin, F.D. Histone methylation regulates memory formation. J. Neurosci. 2010, 30, 3589–3599. [Google Scholar] [CrossRef] [PubMed]
  16. Griñán-Ferré, C.; Corpas, R.; Puigoriol-Illamola, D.; Palomera-Ávalos, V.; Sanfeliu, C.; Pallàs, M. Understanding Epigenetics in the Neurodegeneration of Alzheimer’s Disease: SAMP8 Mouse Model. J. Alzheimers Dis. 2018, 62, 943–963. [Google Scholar] [CrossRef] [Green Version]
  17. Day, J.J.; Sweatt, J.D. Cognitive neuroepigenetics: A role for epigenetic mechanisms in learning and memory. Neurobiol. Learn. Mem. 2011, 96, 2–12. [Google Scholar] [CrossRef] [Green Version]
  18. Khalaf, O.; Gräff, J. Structural, synaptic, and epigenetic dynamics of enduring memories. Neural Plast. 2016, 2016. [Google Scholar] [CrossRef] [Green Version]
  19. Semon, R.W. Die Mneme als Erhaltendes Prinzip im Wechsel des Organischen Geschehens; Wilhelm Engelmann: Leipzig, Germany, 1911; Volume 7101. [Google Scholar]
  20. Tonegawa, S.; Pignatelli, M.; Roy, D.S.; Ryan, T.J. Memory engram storage and retrieval. Curr. Opin. Neurobiol. 2015, 35, 101–109. [Google Scholar] [CrossRef] [Green Version]
  21. Roberson, E.D.; Sweatt, J.D. A biochemical blueprint for long-term memory. Learn. Mem. 1999, 6, 381–388. [Google Scholar] [CrossRef]
  22. Bae, B.-I.; Jayaraman, D.; Walsh, C.A. Genetic changes shaping the human brain. Dev. Cell 2015, 32, 423–434. [Google Scholar] [CrossRef] [Green Version]
  23. Griñán-Ferré, C.; Sarroca, S.; Ivanova, A.; Puigoriol-Illamola, D.; Aguado, F.; Camins, A.; Sanfeliu, C.; Pallàs, M. Epigenetic mechanisms underlying cognitive impairment and Alzheimer disease hallmarks in 5XFAD mice. Aging 2016, 8, 664. [Google Scholar] [CrossRef] [Green Version]
  24. Jablonka, E.; Raz, G. Transgenerational epigenetic inheritance: Prevalence, mechanisms, and implications for the study of heredity and evolution. Q. Rev. Biol. 2009, 84, 131–176. [Google Scholar] [CrossRef] [Green Version]
  25. Harper, L. Epigenetic inheritance and the intergenerational transfer of experience. Psychol. Bull. 2005, 131, 340. [Google Scholar] [CrossRef] [PubMed]
  26. Gräff, J.; Mansuy, I.M. Epigenetic dysregulation in cognitive disorders. Eur. J. Neurosci. 2009, 30, 1–8. [Google Scholar] [CrossRef] [PubMed]
  27. Cassilhas, R.C.; Tufik, S.; de Mello, M.T. Physical exercise, neuroplasticity, spatial learning and memory. Cell. Mol. life Sci. 2016, 73, 975–983. [Google Scholar] [CrossRef] [PubMed]
  28. Alberini, C.M.; Kandel, E.R. The regulation of transcription in memory consolidation. Cold Spring Harbor Perspect. Biol. 2015, 7, a021741. [Google Scholar] [CrossRef] [Green Version]
  29. Peixoto, L.; Abel, T. The role of histone acetylation in memory formation and cognitive impairments. Neuropsychopharmacology 2013, 38, 62–76. [Google Scholar] [CrossRef] [Green Version]
  30. Levenson, J.M.; Sweatt, J.D. Epigenetic mechanisms in memory formation. Nat. Rev. Neurosci. 2005, 6, 108–118. [Google Scholar] [CrossRef]
  31. Koyama, M.; Kurumizaka, H. Structural diversity of the nucleosome. J. Biochem. 2018, 163, 85–95. [Google Scholar] [CrossRef] [PubMed]
  32. Gagnidze, K.; Pfaff, D.W. Epigenetic Mechanisms: DNA Methylation and Histone Protein Modification. In Neuroscience in the 21st Century: From Basic to Clinical; Pfaff, D.W., Ed.; Springer: New York, NY, USA, 2013; pp. 1939–1978. ISBN 978-1-4614-1997-6. [Google Scholar]
  33. Day, J.J.; Sweatt, J.D. DNA methylation and memory formation. Nat. Neurosci. 2010, 13, 1319–1323. [Google Scholar] [CrossRef]
  34. Feng, J.; Zhou, Y.; Campbell, S.L.; Le, T.; Li, E.; Sweatt, J.D.; Silva, A.J.; Fan, G. Dnmt1 and Dnmt3a maintain DNA methylation and regulate synaptic function in adult forebrain neurons. Nat. Neurosci. 2010, 13, 423. [Google Scholar] [CrossRef] [PubMed]
  35. Levenson, J.M.; Roth, T.L.; Lubin, F.D.; Miller, C.A.; Huang, I.-C.; Desai, P.; Malone, L.M.; Sweatt, J.D. Evidence that DNA (cytosine-5) methyltransferase regulates synaptic plasticity in the hippocampus. J. Biol. Chem. 2006, 281, 15763–15773. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Miller, C.A.; Sweatt, J.D. Covalent modification of DNA regulates memory formation. Neuron 2007, 53, 857–869. [Google Scholar] [CrossRef] [Green Version]
  37. Sultan, F.A.; Wang, J.; Tront, J.; Liebermann, D.A.; Sweatt, J.D. Genetic deletion of Gadd45b, a regulator of active DNA demethylation, enhances long-term memory and synaptic plasticity. J. Neurosci. 2012, 32, 17059–17066. [Google Scholar] [CrossRef]
  38. Zhao, Z.; Fan, L.; Frick, K.M. Epigenetic alterations regulate estradiol-induced enhancement of memory consolidation. Proc. Natl. Acad. Sci. USA 2010, 107, 5605–5610. [Google Scholar] [CrossRef] [Green Version]
  39. Karaca, K.G.; Kupke, J.; Brito, D.V.C.; Zeuch, B.; Thome, C.; Weichenhan, D.; Lutsik, P.; Plass, C.; Oliveira, A.M.M. Neuronal ensemble-specific DNA methylation strengthens engram stability. Nat. Commun. 2020, 11, 639. [Google Scholar] [CrossRef] [Green Version]
  40. Oliveira, A.M.M.; Estévez, M.A.; Hawk, J.D.; Grimes, S.; Brindle, P.K.; Abel, T. Subregion-specific p300 conditional knock-out mice exhibit long-term memory impairments. Learn. Mem. 2011, 18, 161–169. [Google Scholar] [CrossRef]
  41. Kaas, G.A.; Zhong, C.; Eason, D.E.; Ross, D.L.; Vachhani, R.V.; Ming, G.; King, J.R.; Song, H.; Sweatt, J.D. TET1 controls CNS 5-methylcytosine hydroxylation, active DNA demethylation, gene transcription, and memory formation. Neuron 2013, 79, 1086–1093. [Google Scholar] [CrossRef] [Green Version]
  42. Kumar, D.; Aggarwal, M.; Kaas, G.A.; Lewis, J.; Wang, J.; Ross, D.L.; Zhong, C.; Kennedy, A.; Song, H.; Sweatt, J.D. Tet1 oxidase regulates neuronal gene transcription, active DNA hydroxymethylation, object location memory, and threat recognition memory. Neuroepigenetics 2015, 4, 12–27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Rudenko, A.; Dawlaty, M.M.; Seo, J.; Cheng, A.W.; Meng, J.; Le, T.; Faull, K.F.; Jaenisch, R.; Tsai, L.-H. Tet1 is critical for neuronal activity-regulated gene expression and memory extinction. Neuron 2013, 79, 1109–1122. [Google Scholar] [CrossRef] [Green Version]
  44. Monsey, M.S.; Ota, K.T.; Akingbade, I.F.; Hong, E.S.; Schafe, G.E. Epigenetic alterations are critical for fear memory consolidation and synaptic plasticity in the lateral amygdala. PloS ONE 2011, 6, e19958. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Koshibu, K.; Gräff, J.; Beullens, M.; Heitz, F.D.; Berchtold, D.; Russig, H.; Farinelli, M.; Bollen, M.; Mansuy, I.M. Protein phosphatase 1 regulates the histone code for long-term memory. J. Neurosci. 2009, 29, 13079–13089. [Google Scholar] [CrossRef] [Green Version]
  46. Vecsey, C.G.; Hawk, J.D.; Lattal, K.M.; Stein, J.M.; Fabian, S.A.; Attner, M.A.; Cabrera, S.M.; McDonough, C.B.; Brindle, P.K.; Abel, T. Histone deacetylase inhibitors enhance memory and synaptic plasticity via CREB: CBP-dependent transcriptional activation. J. Neurosci. 2007, 27, 6128–6140. [Google Scholar] [CrossRef]
  47. Levenson, J.M.; O’Riordan, K.J.; Brown, K.D.; Trinh, M.A.; Molfese, D.L.; Sweatt, J.D. Regulation of histone acetylation during memory formation in the hippocampus. J. Biol. Chem. 2004, 279, 40545–40559. [Google Scholar] [CrossRef] [Green Version]
  48. Kwapis, J.L.; Alaghband, Y.; López, A.J.; White, A.O.; Campbell, R.R.; Dang, R.T.; Rhee, D.; Tran, A.V.; Carl, A.E.; Matheos, D.P. Context and auditory fear are differentially regulated by HDAC3 activity in the lateral and basal subnuclei of the amygdala. Neuropsychopharmacology 2017, 42, 1284–1294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Itzhak, Y.; Anderson, K.L.; Kelley, J.B.; Petkov, M. Histone acetylation rescues contextual fear conditioning in nNOS KO mice and accelerates extinction of cued fear conditioning in wild type mice. Neurobiol. Learn. Mem. 2012, 97, 409–417. [Google Scholar] [CrossRef] [Green Version]
  50. Bredy, T.W.; Wu, H.; Crego, C.; Zellhoefer, J.; Sun, Y.E.; Barad, M. Histone modifications around individual BDNF gene promoters in prefrontal cortex are associated with extinction of conditioned fear. Learn. Mem. 2007, 14, 268–276. [Google Scholar] [CrossRef] [Green Version]
  51. Collins, B.E.; Greer, C.B.; Coleman, B.C.; Sweatt, J.D. Histone H3 lysine K4 methylation and its role in learning and memory. Epigenetics Chromatin 2019, 12, 7. [Google Scholar] [CrossRef]
  52. Bahari-Javan, S.; Maddalena, A.; Kerimoglu, C.; Wittnam, J.; Held, T.; Bähr, M.; Burkhardt, S.; Delalle, I.; Kügler, S.; Fischer, A. HDAC1 regulates fear extinction in mice. J. Neurosci. 2012, 32, 5062–5073. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Rogge, G.A.; Singh, H.; Dang, R.; Wood, M.A. HDAC3 is a negative regulator of cocaine-context-associated memory formation. J. Neurosci. 2013, 33, 6623–6632. [Google Scholar] [CrossRef] [Green Version]
  54. Malvaez, M.; McQuown, S.C.; Rogge, G.A.; Astarabadi, M.; Jacques, V.; Carreiro, S.; Rusche, J.R.; Wood, M.A. HDAC3-selective inhibitor enhances extinction of cocaine-seeking behavior in a persistent manner. Proc. Natl. Acad. Sci. USA 2013, 110, 2647–2652. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. McQuown, S.C.; Barrett, R.M.; Matheos, D.P.; Post, R.J.; Rogge, G.A.; Alenghat, T.; Mullican, S.E.; Jones, S.; Rusche, J.R.; Lazar, M.A. HDAC3 is a critical negative regulator of long-term memory formation. J. Neurosci. 2011, 31, 764–774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Guan, Z.; Giustetto, M.; Lomvardas, S.; Kim, J.-H.; Miniaci, M.C.; Schwartz, J.H.; Thanos, D.; Kandel, E.R. Integration of long-term-memory-related synaptic plasticity involves bidirectional regulation of gene expression and chromatin structure. Cell 2002, 111, 483–493. [Google Scholar] [CrossRef] [Green Version]
  57. Guan, J.-S.; Haggarty, S.J.; Giacometti, E.; Dannenberg, J.-H.; Joseph, N.; Gao, J.; Nieland, T.J.F.; Zhou, Y.; Wang, X.; Mazitschek, R. HDAC2 negatively regulates memory formation and synaptic plasticity. Nature 2009, 459, 55. [Google Scholar] [CrossRef]
  58. Morris, M.J.; Mahgoub, M.; Na, E.S.; Pranav, H.; Monteggia, L.M. Loss of histone deacetylase 2 improves working memory and accelerates extinction learning. J. Neurosci. 2013, 33, 6401–6411. [Google Scholar] [CrossRef] [PubMed]
  59. Kim, M.-S.; Akhtar, M.W.; Adachi, M.; Mahgoub, M.; Bassel-Duby, R.; Kavalali, E.T.; Olson, E.N.; Monteggia, L.M. An essential role for histone deacetylase 4 in synaptic plasticity and memory formation. J. Neurosci. 2012, 32, 10879–10886. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Gupta-Agarwal, S.; Franklin, A.V.; DeRamus, T.; Wheelock, M.; Davis, R.L.; McMahon, L.L.; Lubin, F.D. G9a/GLP histone lysine dimethyltransferase complex activity in the hippocampus and the entorhinal cortex is required for gene activation and silencing during memory consolidation. J. Neurosci. 2012, 32, 5440–5453. [Google Scholar] [CrossRef] [Green Version]
  61. Alarcón, J.M.; Malleret, G.; Touzani, K.; Vronskaya, S.; Ishii, S.; Kandel, E.R.; Barco, A. Chromatin acetylation, memory, and LTP are impaired in CBP+/− mice: A model for the cognitive deficit in Rubinstein-Taybi syndrome and its amelioration. Neuron 2004, 42, 947–959. [Google Scholar] [CrossRef] [Green Version]
  62. Lin, Q.; Wei, W.; Coelho, C.M.; Li, X.; Baker-Andresen, D.; Dudley, K.; Ratnu, V.S.; Boskovic, Z.; Kobor, M.S.; Sun, Y.E. The brain-specific microRNA miR-128b regulates the formation of fear-extinction memory. Nat. Neurosci. 2011, 14, 1115. [Google Scholar] [CrossRef] [Green Version]
  63. Griggs, E.M.; Young, E.J.; Rumbaugh, G.; Miller, C.A. MicroRNA-182 regulates amygdala-dependent memory formation. J. Neurosci. 2013, 33, 1734–1740. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Dias, B.G.; Goodman, J.V.; Ahluwalia, R.; Easton, A.E.; Andero, R.; Ressler, K.J. Amygdala-dependent fear memory consolidation via miR-34a and Notch signaling. Neuron 2014, 83, 906–918. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Konopka, W.; Kiryk, A.; Novak, M.; Herwerth, M.; Parkitna, J.R.; Wawrzyniak, M.; Kowarsch, A.; Michaluk, P.; Dzwonek, J.; Arnsperger, T. MicroRNA loss enhances learning and memory in mice. J. Neurosci. 2010, 30, 14835–14842. [Google Scholar] [CrossRef]
  66. Hu, Z.; Li, Z. miRNAs in synapse development and synaptic plasticity. Curr. Opin. Neurobiol. 2017, 45, 24–31. [Google Scholar] [CrossRef]
  67. Cohen, J.E.; Lee, P.R.; Chen, S.; Li, W.; Fields, R.D. MicroRNA regulation of homeostatic synaptic plasticity. Proc. Natl. Acad. Sci. USA 2011, 108, 11650–11655. [Google Scholar] [CrossRef] [Green Version]
  68. Edbauer, D.; Neilson, J.R.; Foster, K.A.; Wang, C.-F.; Seeburg, D.P.; Batterton, M.N.; Tada, T.; Dolan, B.M.; Sharp, P.A.; Sheng, M. Regulation of synaptic structure and function by FMRP-associated microRNAs miR-125b and miR-132. Neuron 2010, 65, 373–384. [Google Scholar] [CrossRef] [Green Version]
  69. Alzheimer’s Association. 2018 Alzheimer’s Disease Facts and Figures. Alzheimers Dement. 2018, 14, 367–429. [Google Scholar] [CrossRef]
  70. Alzheimer’s Association. 2019 Alzheimer’s Disease Facts and Figures. Alzheimers Dement. 2019, 15, 321–387. [Google Scholar] [CrossRef]
  71. Alzheimer’s Association. 2017 Alzheimer’s Disease Facts and Figures. Alzheimers Dement. 2017, 13, 325–373. [Google Scholar] [CrossRef]
  72. Serrano-Pozo, A.; Frosch, M.P.; Masliah, E.; Hyman, B.T. Neuropathological alterations in Alzheimer disease. Cold Spring Harb. Perspect. Med. 2011, 1, a006189. [Google Scholar] [CrossRef] [PubMed]
  73. Blennow, K.; Zetterberg, H. Biomarkers for Alzheimer’s disease: Current status and prospects for the future. J. Intern. Med. 2018, 284, 643–663. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Sen, P.; Shah, P.P.; Nativio, R.; Berger, S.L. Epigenetic mechanisms of longevity and aging. Cell 2016, 166, 822–839. [Google Scholar] [CrossRef] [Green Version]
  75. Smith, A.R.; Smith, R.G.; Condliffe, D.; Hannon, E.; Schalkwyk, L.; Mill, J.; Lunnon, K. Increased DNA methylation near TREM2 is consistently seen in the superior temporal gyrus in Alzheimer’s disease brain. Neurobiol. Aging 2016, 47, 35–40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Kobayashi, N.; Shinagawa, S.; Nagata, T.; Shimada, K.; Shibata, N.; Ohnuma, T.; Kasanuki, K.; Arai, H.; Yamada, H.; Nakayama, K. Usefulness of DNA methylation levels in COASY and SPINT1 gene promoter regions as biomarkers in diagnosis of Alzheimer’s disease and amnestic mild cognitive impairment. PLoS ONE 2016, 11, e0168816. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Kaut, O.; Ramirez, A.; Pieper, H.; Schmitt, I.; Jessen, F.; Wüllner, U. DNA methylation of the TNF-α promoter region in peripheral blood monocytes and the cortex of human Alzheimer’s disease patients. Dement. Geriatr. Cogn. Disord. 2014, 38, 10–15. [Google Scholar] [CrossRef] [PubMed]
  78. Iwata, A.; Nagata, K.; Hatsuta, H.; Takuma, H.; Bundo, M.; Iwamoto, K.; Tamaoka, A.; Murayama, S.; Saido, T.; Tsuji, S. Altered CpG methylation in sporadic Alzheimer’s disease is associated with APP and MAPT dysregulation. Hum. Mol. Genet. 2014, 23, 648–656. [Google Scholar] [CrossRef] [PubMed]
  79. Nicolia, V.; Cavallaro, R.A.; López-González, I.; Maccarrone, M.; Scarpa, S.; Ferrer, I.; Fuso, A. DNA methylation profiles of selected pro-inflammatory cytokines in Alzheimer disease. J. Neuropathol. Exp. Neurol. 2017, 76, 27–31. [Google Scholar] [CrossRef] [PubMed]
  80. West, R.L.; Lee, J.M.; Maroun, L.E. Hypomethylation of the amyloid precursor protein gene in the brain of an Alzheimer’s disease patient. J. Mol. Neurosci. 1995, 6, 141–146. [Google Scholar] [CrossRef] [PubMed]
  81. Tohgi, H.; Utsugisawa, K.; Nagane, Y.; Yoshimura, M.; Genda, Y.; Ukitsu, M. Reduction with age in methylcytosine in the promoter region −224 approximately −101 of the amyloid precursor protein gene in autopsy human cortex. Mol. Brain Res. 1999, 70, 288–292. [Google Scholar] [CrossRef]
  82. Zhang, C.-C.; Xing, A.; Tan, M.-S.; Tan, L.; Yu, J.-T. The role of MAPT in neurodegenerative diseases: Genetics, mechanisms and therapy. Mol. Neurobiol. 2016, 53, 4893–4904. [Google Scholar] [CrossRef]
  83. Monti, N.; Cavallaro, R.A.; Stoccoro, A.; Nicolia, V.; Scarpa, S.; Kovacs, G.G.; Fiorenza, M.T.; Lucarelli, M.; Aronica, E.; Ferrer, I. CpG and non-CpG Presenilin1 methylation pattern in course of neurodevelopment and neurodegeneration is associated with gene expression in human and murine brain. Epigenetics 2020, 15, 781–799. [Google Scholar] [CrossRef] [Green Version]
  84. Fuso, A.; Cavallaroa, R.A.; Nicolia, V.; Scarpa, S. PSEN1 promoter demethylation in hyperhomocysteinemic TgCRND8 mice is the culprit, not the consequence. Curr. Alzheimer Res. 2012, 9, 527–535. [Google Scholar] [CrossRef] [PubMed]
  85. Gräff, J.; Rei, D.; Guan, J.-S.; Wang, W.-Y.; Seo, J.; Hennig, K.M.; Nieland, T.J.F.; Fass, D.M.; Kao, P.F.; Kahn, M. An epigenetic blockade of cognitive functions in the neurodegenerating brain. Nature 2012, 483, 222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Govindarajan, N.; Rao, P.; Burkhardt, S.; Sananbenesi, F.; Schlüter, O.M.; Bradke, F.; Lu, J.; Fischer, A. Reducing HDAC6 ameliorates cognitive deficits in a mouse model for Alzheimer’s disease. EMBO Mol. Med. 2013, 5, 52–63. [Google Scholar] [CrossRef]
  87. Lee, H.R.; Shin, H.K.; Park, S.Y.; Kim, H.Y.; Lee, W.S.; Rhim, B.Y.; Hong, K.W.; Kim, C.D. Cilostazol suppresses β-amyloid production by activating a disintegrin and metalloproteinase 10 via the upregulation of SIRT1-coupled retinoic acid receptor-β. J. Neurosci. Res. 2014, 92, 1581–1590. [Google Scholar] [CrossRef]
  88. Min, S.-W.; Cho, S.-H.; Zhou, Y.; Schroeder, S.; Haroutunian, V.; Seeley, W.W.; Huang, E.J.; Shen, Y.; Masliah, E.; Mukherjee, C. Acetylation of tau inhibits its degradation and contributes to tauopathy. Neuron 2010, 67, 953–966. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Castellano, J.F.; Fletcher, B.R.; Kelley-Bell, B.; Kim, D.H.; Gallagher, M.; Rapp, P.R. Age-related memory impairment is associated with disrupted multivariate epigenetic coordination in the hippocampus. PLoS ONE 2012, 7, e33249. [Google Scholar] [CrossRef] [Green Version]
  90. Gjoneska, E.; Pfenning, A.R.; Mathys, H.; Quon, G.; Kundaje, A.; Tsai, L.-H.; Kellis, M. Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease. Nature 2015, 518, 365–369. [Google Scholar] [CrossRef]
  91. Cheng, H.; Xuan, H.; Green, C.D.; Han, Y.; Sun, N.; Shen, H.; McDermott, J.; Bennett, D.A.; Lan, F.; Han, J.-D.J. Repression of human and mouse brain inflammaging transcriptome by broad gene-body histone hyperacetylation. Proc. Natl. Acad. Sci. USA 2018, 115, 7611–7616. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Peleg, S.; Sananbenesi, F.; Zovoilis, A.; Burkhardt, S.; Bahari-Javan, S.; Agis-Balboa, R.C.; Cota, P.; Wittnam, J.L.; Gogol-Doering, A.; Opitz, L. Altered histone acetylation is associated with age-dependent memory impairment in mice. Science 2010, 328, 753–756. [Google Scholar] [CrossRef] [Green Version]
  93. Morse, S.J.; Butler, A.A.; Davis, R.L.; Soller, I.J.; Lubin, F.D. Environmental enrichment reverses histone methylation changes in the aged hippocampus and restores age-related memory deficits. Biology 2015, 4, 298–313. [Google Scholar] [CrossRef]
  94. Rubio, A.; Sánchez-Mut, J.V.; García, E.; Velasquez, Z.D.; Oliver, J.; Esteller, M.; Avila, J. Epigenetic control of somatostatin and cortistatin expression by β amyloid peptide. J. Neurosci. Res. 2012, 90, 13–20. [Google Scholar] [CrossRef]
  95. Wang, C.M.; Tsai, S.N.; Yew, T.W.; Kwan, Y.W.; Ngai, S.M. Identification of histone methylation multiplicities patterns in the brain of senescence-accelerated prone mouse 8. Biogerontology 2010, 11, 87–102. [Google Scholar] [CrossRef]
  96. Hébert, S.S.; Horré, K.; Nicolaï, L.; Papadopoulou, A.S.; Mandemakers, W.; Silahtaroglu, A.N.; Kauppinen, S.; Delacourte, A.; De Strooper, B. Loss of microRNA cluster miR-29a/b-1 in sporadic Alzheimer’s disease correlates with increased BACE1/β-secretase expression. Proc. Natl. Acad. Sci. USA 2008, 105, 6415–6420. [Google Scholar] [CrossRef] [Green Version]
  97. Salta, E.; Sierksma, A.; Vanden Eynden, E.; De Strooper, B. miR-132 loss de-represses ITPKB and aggravates amyloid and TAU pathology in Alzheimer’s brain. EMBO Mol. Med. 2016, 8, 1005–1018. [Google Scholar] [CrossRef] [PubMed]
  98. Wang, X.; Tan, L.; Lu, Y.; Peng, J.; Zhu, Y.; Zhang, Y.; Sun, Z. MicroRNA-138 promotes tau phosphorylation by targeting retinoic acid receptor alpha. FEBS Lett. 2015, 589, 726–729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Sun, L.; Ban, T.; Liu, C.; Chen, Q.; Wang, X.U.; Yan, M.; Hu, X.; Su, X.; Bao, Y.; Sun, L. Activation of Cdk5/p25 and tau phosphorylation following chronic brain hypoperfusion in rats involves micro RNA-195 down-regulation. J. Neurochem. 2015, 134, 1139–1151. [Google Scholar] [CrossRef]
  100. Lee, S.; Chu, K.; Jung, K.; Kim, J.H.; Huh, J.; Yoon, H.; Park, D.; Lim, J.; Kim, J.; Jeon, D. miR-206 regulates brain-derived neurotrophic factor in Alzheimer disease model. Ann. Neurol. 2012, 72, 269–277. [Google Scholar] [CrossRef] [PubMed]
  101. Smith, P.Y.; Hernandez-Rapp, J.; Jolivette, F.; Lecours, C.; Bisht, K.; Goupil, C.; Dorval, V.; Parsi, S.; Morin, F.; Planel, E. miR-132/212 deficiency impairs tau metabolism and promotes pathological aggregation in vivo. Hum. Mol. Genet. 2015, 24, 6721–6735. [Google Scholar] [CrossRef] [Green Version]
  102. Santa-Maria, I.; Alaniz, M.E.; Renwick, N.; Cela, C.; Fulga, T.A.; Van Vactor, D.; Tuschl, T.; Clark, L.N.; Shelanski, M.L.; McCabe, B.D. Dysregulation of microRNA-219 promotes neurodegeneration through post-transcriptional regulation of tau. J. Clin. Invest. 2015, 125, 681–686. [Google Scholar] [CrossRef]
  103. Barrachina, M.; Ferrer, I. DNA methylation of Alzheimer disease and tauopathy-related genes in postmortem brain. J. Neuropathol. Exp. Neurol. 2009, 68, 880–891. [Google Scholar] [CrossRef] [PubMed]
  104. Feng, S.; Jacobsen, S.E.; Reik, W. Epigenetic reprogramming in plant and animal development. Science 2010, 330, 622–627. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Hajkova, P.; Erhardt, S.; Lane, N.; Haaf, T.; El-Maarri, O.; Reik, W.; Walter, J.; Surani, M.A. Epigenetic reprogramming in mouse primordial germ cells. Mech. Dev. 2002, 117, 15–23. [Google Scholar] [CrossRef] [Green Version]
  106. Sasaki, H.; Matsui, Y. Epigenetic events in mammalian germ-cell development: Reprogramming and beyond. Nat. Rev. Genet. 2008, 9, 129–140. [Google Scholar] [CrossRef] [PubMed]
  107. Surani, M.A.; Hayashi, K.; Hajkova, P. Genetic and epigenetic regulators of pluripotency. Cell 2007, 128, 747–762. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  108. Hajkova, P.; Ancelin, K.; Waldmann, T.; Lacoste, N.; Lange, U.C.; Cesari, F.; Lee, C.; Almouzni, G.; Schneider, R.; Surani, M.A. Chromatin dynamics during epigenetic reprogramming in the mouse germ line. Nature 2008, 452, 877–881. [Google Scholar] [CrossRef]
  109. Morgan, H.D.; Sutherland, H.G.E.; Martin, D.I.K.; Whitelaw, E. Epigenetic inheritance at the agouti locus in the mouse. Nat. Genet. 1999, 23, 314–318. [Google Scholar] [CrossRef]
  110. Lacal, I.; Ventura, R. Epigenetic inheritance: Concepts, mechanisms and perspectives. Front. Mol. Neurosci. 2018, 11, 292. [Google Scholar] [CrossRef] [Green Version]
  111. Daxinger, L.; Whitelaw, E. Understanding transgenerational epigenetic inheritance via the gametes in mammals. Nat. Rev. Genet. 2012, 13, 153–162. [Google Scholar] [CrossRef]
  112. Heard, E.; Martienssen, R.A. Transgenerational epigenetic inheritance: Myths and mechanisms. Cell 2014, 157, 95–109. [Google Scholar] [CrossRef] [Green Version]
  113. Skinner, M.K. What is an epigenetic transgenerational phenotype? F3 or F2. Reprod. Toxicol. 2008, 25, 2–6. [Google Scholar] [CrossRef] [Green Version]
  114. Perez, M.F.; Lehner, B. Intergenerational and transgenerational epigenetic inheritance in animals. Nat. Cell Biol. 2019, 21, 143–151. [Google Scholar] [CrossRef] [Green Version]
  115. Benyshek, D.C.; Johnston, C.S.; Martin, J.F.; Ross, W.D. Insulin sensitivity is normalized in the third generation (F3) offspring of developmentally programmed insulin resistant (F2) rats fed an energy-restricted diet. Nutr. Metab. 2008, 5, 26. [Google Scholar] [CrossRef] [Green Version]
  116. Greer, E.L.; Maures, T.J.; Ucar, D.; Hauswirth, A.G.; Mancini, E.; Lim, J.P.; Benayoun, B.A.; Shi, Y.; Brunet, A. Transgenerational epigenetic inheritance of longevity in Caenorhabditis elegans. Nature 2011, 479, 365–371. [Google Scholar] [CrossRef] [Green Version]
  117. Feng, X.; Guang, S. Small RNAs, RNAi and the inheritance of gene silencing in Caenorhabditis elegans. J. Genet. Genomics 2013, 40, 153–160. [Google Scholar] [CrossRef] [PubMed]
  118. Smallwood, S.A.; Tomizawa, S.; Krueger, F.; Ruf, N.; Carli, N.; Segonds-Pichon, A.; Sato, S.; Hata, K.; Andrews, S.R.; Kelsey, G. Dynamic CpG island methylation landscape in oocytes and preimplantation embryos. Nat. Genet. 2011, 43, 811. [Google Scholar] [CrossRef] [Green Version]
  119. Hackett, J.A.; Sengupta, R.; Zylicz, J.J.; Murakami, K.; Lee, C.; Down, T.A.; Surani, M.A. Germline DNA demethylation dynamics and imprint erasure through 5-hydroxymethylcytosine. Science 2013, 339, 448–452. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  120. Reik, W.; Surani, M.A. Germline and pluripotent stem cells. Cold Spring Harb. Perspect. Biol. 2015, 7, a019422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  121. Lane, N.; Dean, W.; Erhardt, S.; Hajkova, P.; Surani, A.; Walter, J.; Reik, W. Resistance of IAPs to methylation reprogramming may provide a mechanism for epigenetic inheritance in the mouse. Genesis 2003, 35, 88–93. [Google Scholar] [CrossRef]
  122. Radford, E.J.; Ito, M.; Shi, H.; Corish, J.A.; Yamazawa, K.; Isganaitis, E.; Seisenberger, S.; Hore, T.A.; Reik, W.; Erkek, S. In utero undernourishment perturbs the adult sperm methylome and intergenerational metabolism. Science 2014, 345, 1255903. [Google Scholar] [CrossRef] [Green Version]
  123. Miltenberger, R.J.; Mynatt, R.L.; Wilkinson, J.E.; Woychik, R.P. The role of the agouti gene in the yellow obese syndrome. J. Nutr. 1997, 127, 1902S–1907S. [Google Scholar] [CrossRef] [PubMed]
  124. Cropley, J.E.; Suter, C.M.; Beckman, K.B.; Martin, D.I.K. CpG methylation of a silent controlling element in the murine A vy allele is incomplete and unresponsive to methyl donor supplementation. PLoS ONE 2010, 5, e9055. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Dolinoy, D.C.; Huang, D.; Jirtle, R.L. Maternal nutrient supplementation counteracts bisphenol A-induced DNA hypomethylation in early development. Proc. Natl. Acad. Sci. USA 2007, 104, 13056–13061. [Google Scholar] [CrossRef] [Green Version]
  126. Casas, E.; Vavouri, T. Sperm epigenomics: Challenges and opportunities. Front. Genet. 2014, 5, 330. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Gu, L.; Wang, Q.; Sun, Q.-Y. Histone modifications during mammalian oocyte maturation: Dynamics, regulation and functions. Cell Cycle 2010, 9, 1942–1950. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  128. Erkek, S.; Hisano, M.; Liang, C.-Y.; Gill, M.; Murr, R.; Dieker, J.; Schübeler, D.; Van Der Vlag, J.; Stadler, M.B.; Peters, A.H.F.M. Molecular determinants of nucleosome retention at CpG-rich sequences in mouse spermatozoa. Nat. Struct. Mol. Biol. 2013, 20, 868. [Google Scholar] [CrossRef] [Green Version]
  129. Gaydos, L.J.; Wang, W.; Strome, S. H3K27me and PRC2 transmit a memory of repression across generations and during development. Science 2014, 345, 1515–1518. [Google Scholar] [CrossRef] [Green Version]
  130. Siklenka, K.; Erkek, S.; Godmann, M.; Lambrot, R.; McGraw, S.; Lafleur, C.; Cohen, T.; Xia, J.; Suderman, M.; Hallett, M. Disruption of histone methylation in developing sperm impairs offspring health transgenerationally. Science 2015, 350, aab2006. [Google Scholar] [CrossRef]
  131. Yan, W. Potential roles of noncoding RNAs in environmental epigenetic transgenerational inheritance. Mol. Cell. Endocrinol. 2014, 398, 24–30. [Google Scholar] [CrossRef] [Green Version]
  132. Ashe, A.; Sapetschnig, A.; Weick, E.-M.; Mitchell, J.; Bagijn, M.P.; Cording, A.C.; Doebley, A.-L.; Goldstein, L.D.; Lehrbach, N.J.; Le Pen, J. piRNAs can trigger a multigenerational epigenetic memory in the germline of C. elegans. Cell 2012, 150, 88–99. [Google Scholar] [CrossRef] [Green Version]
  133. Rechavi, O.; Houri-Ze’evi, L.; Anava, S.; Goh, W.S.S.; Kerk, S.Y.; Hannon, G.J.; Hobert, O. Starvation-induced transgenerational inheritance of small RNAs in C. elegans. Cell 2014, 158, 277–287. [Google Scholar] [CrossRef] [Green Version]
  134. Grandjean, V.; Fourré, S.; De Abreu, D.A.F.; Derieppe, M.-A.; Remy, J.-J.; Rassoulzadegan, M. RNA-mediated paternal heredity of diet-induced obesity and metabolic disorders. Sci. Rep. 2015, 5, 18193. [Google Scholar] [CrossRef] [Green Version]
  135. Chen, Q.; Yan, M.; Cao, Z.; Li, X.; Zhang, Y.; Shi, J.; Feng, G.; Peng, H.; Zhang, X.; Zhang, Y. Sperm tsRNAs contribute to intergenerational inheritance of an acquired metabolic disorder. Science 2016, 351, 397–400. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  136. Gapp, K.; Jawaid, A.; Sarkies, P.; Bohacek, J.; Pelczar, P.; Prados, J.; Farinelli, L.; Miska, E.; Mansuy, I.M. Implication of sperm RNAs in transgenerational inheritance of the effects of early trauma in mice. Nat. Neurosci. 2014, 17, 667–669. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Zhang, X.; Cozen, A.E.; Liu, Y.; Chen, Q.; Lowe, T.M. Small RNA modifications: Integral to function and disease. Trends Mol. Med. 2016, 22, 1025–1034. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  138. Galan, C.; Krykbaeva, M.; Rando, O.J. Early life lessons: The lasting effects of germline epigenetic information on organismal development. Mol. Metab. 2020, 38, 100924. [Google Scholar] [CrossRef] [PubMed]
  139. Mitchell, C.; Schneper, L.M.; Notterman, D.A. DNA methylation, early life environment, and health outcomes. Pediatr. Res. 2016, 79, 212–219. [Google Scholar] [CrossRef] [Green Version]
  140. Liu, D.; Diorio, J.; Day, J.C.; Francis, D.D.; Meaney, M.J. Maternal care, hippocampal synaptogenesis and cognitive development in rats. Nat. Neurosci. 2000, 3, 799–806. [Google Scholar] [CrossRef]
  141. Houri-Zeevi, L.; Kohanim, Y.K.; Antonova, O.; Rechavi, O. Three rules explain transgenerational small RNA inheritance in C. elegans. Cell 2020, 182, 1186–1197. [Google Scholar] [CrossRef] [PubMed]
  142. Rechavi, O.; Lev, I. Principles of transgenerational small RNA inheritance in Caenorhabditis elegans. Curr. Biol. 2017, 27, R720–R730. [Google Scholar] [CrossRef] [Green Version]
  143. Moore, R.S.; Kaletsky, R.; Murphy, C.T. Piwi/PRG-1 Argonaute and TGF-β Mediate Transgenerational Learned Pathogenic Avoidance. Cell 2019, 177, 1827–1841.e12. [Google Scholar] [CrossRef]
  144. Woodhouse, R.M.; Buchmann, G.; Hoe, M.; Harney, D.J.; Low, J.K.K.; Larance, M.; Boag, P.R.; Ashe, A. Chromatin Modifiers SET-25 and SET-32 Are Required for Establishment but Not Long-Term Maintenance of Transgenerational Epigenetic Inheritance. Cell Rep. 2018, 25, 2259–2272.e5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Klosin, A.; Casas, E.; Hidalgo-Carcedo, C.; Vavouri, T.; Lehner, B. Transgenerational transmission of environmental information in C. elegans. Science 2017, 356, 320–323. [Google Scholar] [CrossRef] [Green Version]
  146. Rechtsteiner, A.; Ercan, S.; Takasaki, T.; Phippen, T.M.; Egelhofer, T.A.; Wang, W.; Kimura, H.; Lieb, J.D.; Strome, S. The Histone H3K36 Methyltransferase MES-4 acts epigenetically to transmit the memory of germline gene expression to progeny. PLoS Genet. 2010, 6. [Google Scholar] [CrossRef] [Green Version]
  147. Katz, D.J.; Edwards, T.M.; Reinke, V.; Kelly, W.G. A C. elegans LSD1 demethylase contributes to germline immortality by reprogramming epigenetic memory. Cell 2009, 137, 308–320. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  148. Seong, K.H.; Li, D.; Shimizu, H.; Nakamura, R.; Ishii, S. Inheritance of stress-induced, ATF-2-dependent epigenetic change. Cell 2011, 145, 1049–1061. [Google Scholar] [CrossRef] [Green Version]
  149. Nguyen, T.; Li, G.E.; Chen, H.; Cranfield, C.G.; McGrath, K.C.; Gorrie, C.A. Maternal E-Cigarette Exposure Results in Cognitive and Epigenetic Alterations in Offspring in a Mouse Model. Chem. Res. Toxicol. 2018, 31, 601–611. [Google Scholar] [CrossRef] [PubMed]
  150. Herring, A.; Donath, A.; Yarmolenko, M.; Uslar, E.; Conzen, C.; Kanakis, D.; Bosma, C.; Worm, K.; Paulus, W.; Keyvani, K. Exercise during pregnancy mitigates Alzheimer-like pathology in mouse offspring. FASEB J. 2012, 26, 117–128. [Google Scholar] [CrossRef]
  151. Bordoni, L.; Nasuti, C.; Di Stefano, A.; Marinelli, L.; Gabbianelli, R. Epigenetic Memory of Early-Life Parental Perturbation: Dopamine Decrease and DNA Methylation Changes in Offspring. Oxid. Med. Cell. Longev. 2019, 2019, 1472623. [Google Scholar] [CrossRef]
  152. Modir, F.; Salmani, M.E.; Goudarzi, I.; Lashkarboluki, T.; Abrari, K. Prenatal stress decreases spatial learning and memory retrieval of the adult male offspring of rats. Physiol. Behav. 2014, 129, 104–109. [Google Scholar] [CrossRef]
  153. Lucia, D.; Burgess, D.; Cullen, C.L.; Dorey, E.S.; Rawashdeh, O.; Moritz, K.M. Periconceptional maternal alcohol consumption leads to behavioural changes in adult and aged offspring and alters the expression of hippocampal genes associated with learning and memory and regulators of the epigenome. Behav. Brain Res. 2019, 362, 249–257. [Google Scholar] [CrossRef]
  154. Wimmer, M.E.; Briand, L.A.; Fant, B.; Guercio, L.A.; Arreola, A.C.; Schmidt, H.D.; Sidoli, S.; Han, Y.; Garcia, B.A.; Pierce, R.C. Paternal cocaine taking elicits epigenetic remodeling and memory deficits in male progeny. Mol. Psychiatry 2017, 22, 1641–1650. [Google Scholar] [CrossRef] [Green Version]
  155. Roth, T.L.; Lubin, F.D.; Funk, A.J.; Sweatt, J.D. Lasting epigenetic influence of early-life adversity on the BDNF gene. Biol. Psychiatry 2009, 65, 760–769. [Google Scholar] [CrossRef] [Green Version]
  156. Bohacek, J.; Mansuy, I.M. Epigenetic inheritance of disease and disease risk. Neuropsychopharmacology 2013, 38, 220–236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Xavier, M.J.; Roman, S.D.; Aitken, R.J.; Nixon, B. Transgenerational inheritance: How impacts to the epigenetic and genetic information of parents affect offspring health. Hum. Reprod. Update 2019, 25, 519–541. [Google Scholar] [CrossRef] [PubMed]
  158. Tanzi, R.E. The genetics of Alzheimer disease. Cold Spring Harb. Perspect. Med. 2012, 2, a006296. [Google Scholar] [CrossRef]
  159. Jansen, I.E.; Savage, J.E.; Watanabe, K.; Bryois, J.; Williams, D.M.; Steinberg, S.; Sealock, J.; Karlsson, I.K.; Hägg, S.; Athanasiu, L. Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nat. Genet. 2019, 51, 404–413. [Google Scholar] [CrossRef] [PubMed]
  160. Escott-Price, V.; Shoai, M.; Pither, R.; Williams, J.; Hardy, J. Polygenic score prediction captures nearly all common genetic risk for Alzheimer’s disease. Neurobiol. Aging 2017, 49, 214.e7–214.e11. [Google Scholar] [CrossRef] [Green Version]
  161. Van Cauwenberghe, C.; Van Broeckhoven, C.; Sleegers, K. The genetic landscape of Alzheimer disease: Clinical implications and perspectives. Genet. Med. 2016, 18, 421–430. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  162. Crow, T.J. The missing genes: What happened to the heritability of psychiatric disorders? Mol. Psychiatry 2011, 16, 362–364. [Google Scholar] [CrossRef] [Green Version]
  163. Gatz, M.; Reynolds, C.A.; Fratiglioni, L.; Johansson, B.; Mortimer, J.A.; Berg, S.; Fiske, A.; Pedersen, N.L. Role of genes and environments for explaining Alzheimer disease. Arch. Gen. Psychiatry 2006, 63, 168–174. [Google Scholar] [CrossRef]
  164. Fraga, M.F.; Ballestar, E.; Paz, M.F.; Ropero, S.; Setien, F.; Ballestar, M.L.; Heine-Suñer, D.; Cigudosa, J.C.; Urioste, M.; Benitez, J. Epigenetic differences arise during the lifetime of monozygotic twins. Proc. Natl. Acad. Sci. USA 2005, 102, 10604–10609. [Google Scholar] [CrossRef] [Green Version]
  165. Mastroeni, D.; Grover, A.; Delvaux, E.; Whiteside, C.; Coleman, P.D.; Rogers, J. Epigenetic mechanisms in Alzheimer’s disease. Neurobiol. Aging 2011, 32, 1161–1180. [Google Scholar] [CrossRef] [Green Version]
  166. Mill, J. Toward an integrated genetic and epigenetic approach to Alzheimer’s disease. Neurobiol. Aging 2011, 32, 1188–1191. [Google Scholar] [CrossRef]
  167. Wang, S.-C.; Oelze, B.; Schumacher, A. Age-specific epigenetic drift in late-onset Alzheimer’s disease. PLoS ONE 2008, 3, e2698. [Google Scholar] [CrossRef] [Green Version]
  168. Yu, J.-T.; Xu, W.; Tan, C.-C.; Andrieu, S.; Suckling, J.; Evangelou, E.; Pan, A.; Zhang, C.; Jia, J.; Feng, L. Evidence-based prevention of Alzheimer’s disease: Systematic review and meta-analysis of 243 observational prospective studies and 153 randomised controlled trials. J. Neurol. Neurosurg. Psychiatry 2020, 91, 1201–1209. [Google Scholar] [CrossRef]
  169. Youngson, N.A.; Whitelaw, E. Transgenerational epigenetic effects. Annu. Rev. Genom. Hum. Genet. 2008, 9, 233–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  170. Griñán-Ferré, C.; Izquierdo, V.; Otero, E.; Puigoriol-Illamola, D.; Corpas, R.; Sanfeliu, C.; Ortuño-Sahagún, D.; Pallàs, M. Environmental enrichment improves cognitive deficits, AD hallmarks and epigenetic alterations presented in 5xFAD mouse model. Front. Cell. Neurosci. 2018, 12, 224. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  171. Griñan-Ferré, C.; Puigoriol-Illamola, D.; Palomera-Ávalos, V.; Pérez-Cáceres, D.; Companys-Alemany, J.; Camins, A.; Ortuño-Sahagún, D.; Rodrigo, M.T.; Pallàs, M. Environmental enrichment modified epigenetic mechanisms in SAMP8 mouse hippocampus by reducing oxidative stress and inflammaging and achieving neuroprotection. Front. Aging Neurosci. 2016, 8, 241. [Google Scholar] [CrossRef] [PubMed]
  172. Yeshurun, S.; Hannan, A.J. Transgenerational epigenetic influences of paternal environmental exposures on brain function and predisposition to psychiatric disorders. Mol. Psychiatry 2019, 24, 536–548. [Google Scholar] [CrossRef]
  173. Rachdaoui, N.; Sarkar, D.K. Transgenerational epigenetics and brain disorders. Int. Rev. Neurobiol. 2014, 115, 51–73. [Google Scholar]
  174. Branchi, I. The mouse communal nest: Investigating the epigenetic influences of the early social environment on brain and behavior development. Neurosci. Biobehav. Rev. 2009, 33, 551–559. [Google Scholar] [CrossRef]
  175. Fenoglio, K.A.; Brunson, K.L.; Baram, T.Z. Hippocampal neuroplasticity induced by early-life stress: Functional and molecular aspects. Front. Neuroendocrinol. 2006, 27, 180–192. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  176. Fumagalli, F.; Molteni, R.; Racagni, G.; Riva, M.A. Stress during development: Impact on neuroplasticity and relevance to psychopathology. Prog. Neurobiol. 2007, 81, 197–217. [Google Scholar] [CrossRef] [PubMed]
  177. Ickes, B.R.; Pham, T.M.; Sanders, L.A.; Albeck, D.S.; Mohammed, A.H.; Granholm, A.-C. Long-term environmental enrichment leads to regional increases in neurotrophin levels in rat brain. Exp. Neurol. 2000, 164, 45–52. [Google Scholar] [CrossRef] [PubMed]
  178. Gomez-Pinilla, F.; Zhuang, Y.; Feng, J.; Ying, Z.; Fan, G. Exercise impacts brain-derived neurotrophic factor plasticity by engaging mechanisms of epigenetic regulation. Eur. J. Neurosci. 2011, 33, 383–390. [Google Scholar] [CrossRef] [Green Version]
  179. Izquierdo, V.; Palomera-Ávalos, V.; Pallàs, M.; Griñán-Ferré, C. Resveratrol Supplementation Attenuates Cognitive and Molecular Alterations under Maternal High-Fat Diet Intake: Epigenetic Inheritance over Generations. Int. J. Mol. Sci. 2021, 22, 1453. [Google Scholar] [CrossRef]
  180. Izquierdo, V.; Palomera-Ávalos, V.; López-Ruiz, S.; Canudas, A.M.; Pallàs, M.; Griñán-Ferré, C. Maternal resveratrol supplementation prevents cognitive decline in senescent mice offspring. Int. J. Mol. Sci. 2019, 20, 1134. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Overview of the findings of epigenetic alterations promoting learning and memory formation.
Figure 1. Overview of the findings of epigenetic alterations promoting learning and memory formation.
Epigenomes 05 00015 g001
Figure 2. Comparison of epigenetic inheritance between the paternal and maternal lineages (the mouse model has been chosen as an example).
Figure 2. Comparison of epigenetic inheritance between the paternal and maternal lineages (the mouse model has been chosen as an example).
Epigenomes 05 00015 g002
Table 2. Evidence of EI phenomena in nematodes and flies.
Table 2. Evidence of EI phenomena in nematodes and flies.
ModelM or P InhExperimental DesignMechanism
Lo-of-Function
Epigenetic AlterationUp toOutcomesRefs
C. elegansM,PLearned behavior avoidance of pathogenic bacteriaPiwi/PRG-1 F4TEI of Pseudomonas aeruginosa avoidance.[143]
M,PGene silencingset-25 and set-32 mutationH3K9me3F3RNAi-induced TEI involves initiation of silencing by canonical RNAi pathway genes, establishing heritable silencing by set-25 and set-32, and ongoing maintenance of heritable silencing requiring small RNA-associated genes such as hrde-1 and nrde-2.[144]
M,PTemperature-sensitive
transcriptional repression during 5 generations
set-25 mutationH3K9me2/3F14Reactivation of SET-25-silenced transposons. Inheritance occurs through both oocytes and sperm.[145]
M,PGene silencingHrde-1/Wago-9, and, set-25 and set-32piRNAsF24Germline nuclear small RNA/chromatin pathway can maintain stable inheritance for many generations when triggered by a piRNA-dependent foreign RNA response.[132]
M,PEpigenetic memorymes-4 mutationH3K36meF1MES-4 transmits the memory of gene expression in the parental germline to offspring, and that this memory role is critical for the PGCs to execute a proper germline program.[146]
M,PEpigenetic memorySpr-5 (KDM1)
mutation
H3K4me2F30The progressive derepression of genes that regulate spermatogenesis, defects in oogenesis and spermatogenesis and sterility[147]
D. melanogasterM,PHeterochromatin
organization
High-temperature induced p-Atf-2H3K9me2F5Reduction of H3K9me2, disruption of heterochromatin formation and gene silencing[148]
Abbreviations: M: maternal; P: paternal; inh: inheritance; PGR-1: Piwi (fruitfly) related gene; Hrde-1: heritable RNAi defective 1; Nrde-2: nuclear RNAi defective-2; p-Atf-2: phosphorylated activating transcription factor 2; piRNA: Piwi-interacting RNA; Spr-5: suppressor of presenilin defect 5; KDM1: lysine (K)-specific demethylase 1.
Table 3. Contribution of EI in the learning and memory process in rodent models.
Table 3. Contribution of EI in the learning and memory process in rodent models.
ModelM or P InhExperimental DesignMechanism
Loss-of-Function
Epigenetic AlterationUp toOutcomesRefs
Balb/C miceMIntergenerational
transmission of aversive exposure attenuates Cognitive and Molecular
E-Cigarette exposureDNA methylationF1Significant changes in global DNA methylation associated with significant changes in chromatin modification enzymes in the brains of the offspring. Maternal exposure to e-cigarette aerosols resulted in both cognitive and epigenetic changes in offspring were found.[149]
CRND8 miceMExercise during pregnancyEarly-life exposureDNA methylationF1Exercise during pregnancy provides long-lasting protection from neurodegeneration and improves brain plasticity in the otherwise unstimulated progeny.[150]
Wistar ratsM,PEpigenetic memoryEarly-life exposure to permethrin5-mC
5-hmC
F1Since the F1 generation did not receive any permethrin, the impairments observed in DNA methylation and hydroxymethylation, together with a reduction in dopamine levels in the F1 generation, have to be associated with parental early-life exposure to permethrin.[151]
MEpigenetic reprogrammingEarly life or prenatal stress inducesDNA methylationF4HSS decreased learning and memory of adult offspring in BPS and PS1, prominently.[152]
Sprague-Dawley ratsMIntergenerational transmission of alcohol consumptionEarly exposure to alcoholDNMT1
DNMT3a
HDAC2
F1Alcohol around the time of conception leads to sex and age specific behavioral adaptations later in life, along with gene expression changes to the methyltransferases, histone modifiers and other genes important for learning and memory.[153]
PEpigenetic reprogrammingExposure to cocaineH3K4me1
H3ac
F1Epigenetic changes in the hippocampus of male progeny associated with open chromatin states were found.[154]
Long-Evans ratsMEpigenetic reprogrammingEarly life or prenatal stress inducesDNA methylationF1Early maltreatment produced persisting changes in methylation of BDNF DNA that caused altered BDNF gene expression in the adult prefrontal cortex. Altered BDNF DNA methylation in offspring of females that had previously experienced the maltreatment regimen.[140,155]
Abbreviations: ac: acetylation.
Table 4. Examples of EI in AD mice models.
Table 4. Examples of EI in AD mice models.
ModelM or P InhExperimental DesignMechanism
Loss-of-Function
Epigenetic AlterationUp ToOutcomesRefs
SAMP8 miceMIntergenerational
transmission of diet attenuates Cognitive and Molecular
HFD5-mC
Dnmt1
Dnmt3a
m6A
F2A significant increase in DNA methylation levels. Significant increase of m6A levels in HFD+RSV F1 and changes in gene expression of its enzymes Mettl3 and Fto.[179]
MIntergenerational
transmission of diet attenuates Cognitive and Molecular
Supplementary diet5-mC/5-hmC
Dnmt3A/B
Tet2
F2Maternal resveratrol supplementation could prevent cognitive impairment in the SAMP8 mice offspring through epigenetic changes and cell signaling pathways.[180]
CRND8 miceMExercise during pregnancyEarly-life exposureDNA methylationF1Exercise during pregnancy provides long-lasting protection from neurodegeneration and improves brain plasticity in the otherwise unstimulated progeny.[147]
Abbreviations: m6A: N6-methyladenosine; HFD: high fat diet; RSV: resveratrol; Mettl3: methyltransferase like 3; Fto: FTO α-ketoglutarate dependent dioxygenase.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Bellver-Sanchis, A.; Pallàs, M.; Griñán-Ferré, C. The Contribution of Epigenetic Inheritance Processes on Age-Related Cognitive Decline and Alzheimer’s Disease. Epigenomes 2021, 5, 15. https://doi.org/10.3390/epigenomes5020015

AMA Style

Bellver-Sanchis A, Pallàs M, Griñán-Ferré C. The Contribution of Epigenetic Inheritance Processes on Age-Related Cognitive Decline and Alzheimer’s Disease. Epigenomes. 2021; 5(2):15. https://doi.org/10.3390/epigenomes5020015

Chicago/Turabian Style

Bellver-Sanchis, Aina, Mercè Pallàs, and Christian Griñán-Ferré. 2021. "The Contribution of Epigenetic Inheritance Processes on Age-Related Cognitive Decline and Alzheimer’s Disease" Epigenomes 5, no. 2: 15. https://doi.org/10.3390/epigenomes5020015

APA Style

Bellver-Sanchis, A., Pallàs, M., & Griñán-Ferré, C. (2021). The Contribution of Epigenetic Inheritance Processes on Age-Related Cognitive Decline and Alzheimer’s Disease. Epigenomes, 5(2), 15. https://doi.org/10.3390/epigenomes5020015

Article Metrics

Back to TopTop