Literature DB >> 28044062

Opening up the DNA methylome of dementia.

R Delgado-Morales1, M Esteller1,2,3.   

Abstract

Dementia is a complex clinical condition characterized by several cognitive impairments that interfere with patient independence in executing everyday tasks. Various neurodegenerative disorders have dementia in common among their clinical manifestations. In addition, these diseases, such as Alzheimer's disease, Parkinson's disease, dementia with Lewy bodies and frontotemporal dementia, share molecular alterations at the neuropathological level. In recent years, the field of neuroepigenetics has expanded massively and it is now clear that epigenetic processes, such as DNA methylation, are mechanisms involved in both normal and pathological brain function. Despite the persistent methodological and conceptual caveats, it has been reported that several genes fundamental to the development of neurodegenerative disorders are deregulated by aberrant methylation patterns of their promoters, and even common epigenetic signatures for some dementia-associated pathologies have been identified. Therefore, understanding the epigenetic mechanisms that are altered in dementia, especially those associated with the initial phases, will allow us not only to understand the etiopathology of dementia and its progression but also to design effective therapies to reduce this global public health problem. This review provides an in-depth summary of our current knowledge about DNA methylation in dementia, focusing exclusively on the analyses performed in human brain.

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Year:  2017        PMID: 28044062      PMCID: PMC5378809          DOI: 10.1038/mp.2016.242

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


Introduction

Current demographic trends are leading to a world population comprising a higher proportion of older people. By 2050, for the first time in history, there will be fewer young people than older people.[1] This not only poses a major environmental problem[2] but will also give rise to an incalculable worldwide socioeconomic burden because of age-related disorders. At present, more than 48 million people worldwide live with dementia and it is estimated that, owing to the lack of preventative therapeutics, there will be more than 130 million patients by 2050.[3] The estimated global cost of dementia is US$818 billion for 2016,[4] although this figure does not take into account the incalculable social and health costs to relatives and other caregivers. Dementia is not defined as a specific disease but rather as a collection of cognitive impairments caused by a plethora of disorders. Typically, dementia symptoms include impaired cognitive functions such as loss of memory, language and constructional skills, which are often accompanied by behavioral alterations such as delusions or agitation. Clinical diagnosis of dementia requires the manifestation of two core features characterized by a loss of intellectual ability of sufficient severity to interfere with the patient's independence.[5] Some of the diseases that feature dementia are Alzheimer's disease (AD), Parkinson's disease (PD), dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD; Pick's disease).[6] Recent investigations have indicated that neuroepigenetic mechanisms are key players in dementia-associated disorders, supporting the hypothesis that the accumulation of epigenetic alterations over the lifespan could be a mechanism underlying these disorders (the ‘Latent Early-life Associated Regulation' (LEARn) model).[7, 8] Neuroepigenetic processes are complex mechanisms that regulate the transcriptome of brain cells in serving several functions, such as learning and memory,[9] and in the aging process[10, 11, 12] and pathological states.[13] Epigenetic mechanisms are characterized by their ability to alter transcription, by changing the chromatin structure without modifying the DNA sequence.[14] The best understood type of epigenetic modification is DNA methylation,[15] which occurs by covalently adding a methyl group from S-adenosyl methionine to the 5′ position of cytosines (5 mC) linked by a phosphodiesterase bond to guanines (CpG dinucleotides). Promoter regions of coding genes (~70% of human genome promoters) are frequently highly enriched in CpGs, forming the CpG islands.[16] DNA methylation is generally considered to be a repressive mark[17, 18] that principally attracts other proteins associated with gene silencing.[19] The addition of methyl groups to the DNA is catalyzed by a set of enzymes called DNA methyltransferases (DNMTs), a group formed by DNMT1, DNMT2 and DNMT3 proteins.[20] All of these proteins are strongly expressed in neurons,[21] although their function is quite different. While DNMT1 is responsible for maintaining the methylation pattern after cell division,[22] DNMT3a and DNMT3b are responsible for the de novo methylation.[23, 24] DNA methylation is a reversible process owing to the function of the TET proteins that, through the oxidation of the methyl group, lead the conversion of 5 mC in 5-hydroxymethylcytosines (5 hmC),[25] which after successive conversions to 5-formylcytosine and 5-carboxycytosine definitively erase the epigenetic mark. Brain cells are particularly highly enriched in 5 hmC,[26] and it has been postulated that it is not merely an intermediate state in the demethylation process but, in fact, a key epigenetic mark in neurological disorders.[27, 28] Alterations in the DNA methylation pattern have been seen in other cellular genomes, such as that of the mitochondria. The mitochondrial genome (mtDNA) is small (16.6 kb) and comprises 37 genes. Although it does not contain CpG islands it is highly regulated by DNA methylation processes.[29, 30] The existence of both 5 mC and 5 hmC in the mtDNA[30] and the presence of mitochondrial DNMT and TET proteins have been confirmed.[30, 31] Several laboratories have recently turned their attention to the role of the (hydroxy)methylome of mtDNA and its function regulating gene expression.[32] Little is known about brain mtDNA methylation but we do know that increased 5 hmC levels are associated with aging in mice.[33] Several disorders with an apparently diverse spectrum of symptoms feature dementia. Surprisingly, those brain alterations exhibit similar molecular alterations, in spite of the observed neuroanatomical differences in the affected areas among these disorders. For example, amyloid plaques, a hallmark of AD, are also formed in DLB, and Tau alterations are common in AD, PD, DLB and FTD.[34, 35, 36, 37, 38, 39] These disorders even have similarities at the genetic level, where it has been shown that DLB is equally correlated with AD and PD,[40] implying that similar mechanisms are involved (Figure 1). However, it is also possible that different set of alterations or perturbation in brain cells lead to similar response at the genetic level. Our laboratory has recently demonstrated that several dementia-related neurodegenerative disorders (AD, PD, DLB and Down syndrome) share a common set of genes undergoing aberrant DNA methylation shifts.[41] These genes, which are involved in functions such as cortex development and general gene regulation, highlight the importance of epigenetic alterations in disorders associated with dementia, despite the limiting number of articles performing cross-disorder profiles. In this review, we will focus on the role of DNA (hydroxy)methylation in dementia-related disorders by summarizing the current knowledge of the role of this particular epigenetic modification in human neurodegeneration. Overall, relevant gene targets for altered DNA methylation in dementia are illustrated in Figure 2, whereas Figure 3 shows the intracellular location of the encoded proteins. The next sections will analyze in detail these epigenetic changes across the broad spectrum of clinical entities associated with dementia.
Figure 1

Schematic representation of the known connections between Alzheimer's disease, Parkinson's disease, dementia with Lewy bodies and frontotemporal dementia. These disorders not only feature dementia as one of their core clinical manifestations but also share neuropathological alterations such as amyloid-β accumulation, Tau alterations (hyperphosphorylation or loss of function) and α-synuclein aggregation (Lewy bodies).

Figure 2

Illustration to summarize the major DNA (hydroxy)methylation changes described to date in Alzheimer's disease (AD), Parkinson's disease (PD), dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD) among different brain regions. Red, hypermethylated genes in the disorder; green, hypomethylated genes in the disorder.

Figure 3

Representation of the known intracellular location of proteins encoded by genes undergoing aberrant DNA methylation in dementia. Nuclear, cytosolic or membrane-associated genes both in neurons (blue) or glia (principally astrocytes and microglia; in pale brown) are illustrated, together with secreted (extracellular) proteins (green).

Alzheimer's disease

AD is the leading form of dementia worldwide. It is an age-related neurodegenerative disorder that severely impairs memory and other cognitive functions. Although clinical manifestations typically occur in patients over 65 years of age, AD develops over decades, and it is believed that the first pathogenic processes start several decades before typical symptoms manifest themselves.[42, 43] At the molecular level, AD is characterized by the appearance of two neuropathological hallmarks: senile plaques, comprising insoluble aggregates of amyloid β, and neurofibrillary tangles, which are comprised of abnormally hyperphosphorylated Tau.[44, 45] Although the scientific community has amassed considerable knowledge of the molecular alterations and temporal progression of the disease, the events driving the origin of the disorder are unknown. Genetic and non-genetic factors contribute to the etiopathology of AD. To date, almost 300 mutations have been associated with familiar AD, especially those in the APP, PSEN1 and PSEN2 genes.[46] However, only ~5% of all AD cases are mainly caused by genetic factors, which draws attention to the need to decipher the non-genetic causative factors of late-onset AD, which is most likely triggered by environmental stimuli that participate in the appearance of AD. In the past few years, researchers have begun to realize that epigenetic mechanisms are key players in the development/course of AD. Age-associated alterations at the levels of 5 mC and 5 hmC and other epigenetic marks[47, 48] have been associated with the progression of AD.[49, 50] Several AD-associated genes have been analyzed at the epigenetic level. The APP gene has been described, by using targeted approaches, as hypomethylated in multiple CpG sites on its promoter,[51, 52, 53] a concomitant finding with the upregulated levels of APP found in AD brains. These studies used a small cohort, and the findings could not be confirmed in a larger cohort.[54] These conflicting results highlight the necessity of performing better and more in-depth studies on the regulation of the APP gene by epigenetic mechanisms. Other APP-related genes, such as APOE, Nicastrin and BACE1 (which is hypomethylated in peripheral blood mononuclear cells of AD patients[55]), were found to be unaltered in AD brain samples, whereas PSEN1 was hypomethylated and other genes, such MTHFR and DNMT1, were hypermethylated.[56] Analyses involving matrix-assisted laser desorption ionization-time of flight mass spectrometry are difficult to interpret, especially because of the small sample sizes used and the high interindividual variance observed, particularly in the PSEN1 and APOE genes. Interestingly, SORL1 and ABCA7, which are genes related to Aβ production, were found to be hypermethylated in AD brains.[57] Methylation levels of other genes associated with the amyloid machinery, such as DIP2A, SERPINF1, SERPINF2[49] and TMEM59,[58] are also altered, although the specific meaning of such findings needs to be rigorously addressed. Importantly, the DNA methylation alterations found in De Jager et al.[49] correlated with the burden of amyloid plaques identify on the brain tissue, thus associating their finding to the neuropathological state of the subjects. Other targeted analyses of key molecular players of AD have shown epigenetic alterations in the Tau cascade. Our team demonstrated that DUSP22, a phosphatase-targeting abnormal Tau, presents a hypermethylated promoter in AD that is associated with the lower levels of the protein described in the pathology.[59] The levels of methylation of DUSP22 correlated positively with Braak stage of the AD patient. Accordingly, the promoter of the DUSP6 gene, another phosphatase that regulates Tau, was found to be hypermethylated in AD brain[60] using a genome-wide approach. Although TAU promoter is not regulated via DNA methylation,[54] the data obtained indicate that the molecular cascade associated with Tau hyperphosphorylation or dephosphorylation may be deregulated epigenetically in AD. In another genome-wide study, other molecules associated with Tau alterations, such as BIN1,[61] were found to be aberrantly hypermethylated in AD,[49, 57] a change correlated with the amyloid plaques burden. Other molecules associated with neuronal function and firing potentials, such as SPTBN4 (spectrin beta 4), are downregulated in human AD brains, a finding that correlates with the hypermethylation status of its promoter.[62] SPTBN4 not only participates in the formation of the axon initial segment but also anchors CaMKII to it. CaMKII mislocalization, due to a loss of SPTBN4, is a plausible mechanism for Tau hyperphosphorylation.[63] Overall, those sets of data indicate that the two major molecular hallmarks in AD could be regulated via DNA methylation in the early and late phases of the disorder. Several studies have highlighted the importance of epigenetic processes in the gene expression deregulation occurring in AD, in addition to identifying the AD hallmarks. By analyzing the frontal cortex of human post-mortem samples of AD patients, two independent groups found AD-associated hypermethylation of the promoter of SORBS3, a protein involved in synaptic function.[62, 64] Although this effect has been associated with normal aging, this hypermethylation seems to occur faster in AD. Recently, epigenome-wide association studies have identified ANK1 (ankyrin1) as a potential biomarker of AD, as its methylation level is strongly correlated with early stages of the disease and strongly associated with Braak score of the patient. In AD, it is downregulated via hypermethylation of its promoter.[41, 49, 65] Little is known about ANK1 function, but it seems to be related to microglia activation and cell motility. Other molecules associated with the immune response show aberrant methylation states. For example, RHBDF2 (related to TNFα function) and HLA-DRB5 are hypermethylated, and nuclear factor-κB (NF-κB) and COX2 (cyclooxygenase-2), which are proinflammatory and associated with inflammatory events in AD, are hypomethylated.[41, 49, 57, 66, 67] Mutations of the gene coding for TREM2 (triggering receptor expressed in myeloid cells 2) have been associated with an increased risk of suffering AD.[68, 69] TREM2 is expressed in microglia and is associated with microglia activation, phagocytosis and the immune response.[70] TREM2 mRNA levels are upregulated in AD hippocampus, its mRNA levels being positively correlated with the AD Braak stages. Interestingly, the increase in mRNA levels are accompanied by a Braak-associated hypermethylation of the TREM2 promoter.[71] These results are not those expected from the methylation of promoters, which are normally associated with gene repression, and further research is needed to understand these effects. Overall, synaptic degeneration and immune changes are some of the best known alterations in the pathophysiology of AD,[72, 73] and there are evidences that suggests that those are influenced by epigenomic modifications.[74] Other molecules have been identified as being epigenetically deregulated in AD. Demyelination processes have been associated with aging but are accelerated in AD, and a recent study has shown that transcriptional alterations in myelination-associated proteins, such as WIF1 and RARRES3, may be mediated via DNA methylation changes.[75] SLC2A4, which is thought to be involved in neural development, is also hypermethylated in AD brains.[57] Glucose metabolism in brain is altered in this pathological state[76] via deregulation of the brain insulin signaling cascade.[77, 78] Regarding this pathway, IGFBP7 (insulin-like growth factor binding protein 7) is upregulated in the brains of AD patients probably because of the hypomethylated state of its promoter.[79] This protein binds to insulin growth factors and attenuates its protective effects.[80] Rao et al.[66] demonstrated that the reduction in brain-derived neurotrophic factor previously observed in AD[81] was probably due to hypermethylation of its promoter. This epigenetic effect observed in the prefrontal cortex of AD patients was accompanied by a similar one at the promoter of the cAMP response element-binding protein (CREB).[66] Both brain-derived neurotrophic factor and CREB are critical proteins for neuronal survival.[82, 83] Other authors have also described alterations in genes related to CREB signaling, such as hypermethylation of TBXA2R (thromboxane A2 receptor) gene promoter,[62] a G-protein receptor regulating CREB, thereby highlighting the importance of CREB signaling in AD.[84] Besides studying the 5 mC levels in AD, researchers have begun to analyze the role of 5 hmC in health and disease. The central nervous system is especially enriched in 5 hmC relative to other body tissues,[26] and exhibits a specific pattern across the different brain areas.[85] 5 hmC is considered to be a key epigenetic mark in brain development and neurological disorders,[27, 28] leading reearchers to postulate that age-associated neuronal 5 mC/5mhC changes may be involved in the early and late phases of AD. There are lower 5 hmC levels in several brain regions of late stages of AD patients, such as the neocortex,[86] hippocampus,[87] entorhinal cortex and cerebellum.[88] A genome-wide study has recently found several genes to be associated with neuronal morphology and synaptic function with aberrant 5 hmC levels in the prefrontal cortex of AD patients. Bernstein et al.[89] found differential 5 hmC levels of ANK1, DIP2A, BIN1 and DUSP22 genes among those genes described as being epigenetically altered in AD.[41, 49, 59, 65] TREM2[69] also presents alterations in 5 hmC levels in AD brains, insofar as there is a correlated increase in 5 hmC levels in exon 2 and TREM2 mRNA levels.[71] However, there are several controversies regarding this epigenetic mark, reflecting the need for further studies to determine the exact role of 5hmC in AD. For example, there are raised levels of 5 hmC in the hippocampus[90] and temporal gyrus[50] of AD patients. These discrepancies could have arisen as a result of studying different brain populations (i.e. entorhinal cortex vs hippocampus vs temporal gyrus) but also for technical reasons (i.e. immunohistochemistry vs western blotting or dot blot). Owing to the fact that mitochondrial alterations have been found in AD,[91, 92, 93] scientific community have started to analyze the role of the (hydroxy)methylome of mtDNA in brain (mal)function.[32] In the context of AD, Blanch et al.[94] found a global reduction of 5 mC in mtDNA in mid–late stages of AD (Braak III/IV). Analysis of specific loci showed that the levels of 5 mC in MT-ND1, a protein of the complex I of the respiratory chain, were lower in the entorhinal cortex of AD patients compared with that in age-matched controls. However, no changes were noted in 5 hmC of the mtDNA of AD samples despite that it was described previously as a reduction in 5 hmC levels in aging-associated mtDNA.[33] The discrepancy between the Blanch and Dzitoyeva studies could be due to differences between species (humans vs mice, respectively) and the methods used (hydroxyMeDIP assay vs ELISA). Overall, it is clear that the methylation of DNA is critical to epigenetic processes associated not only with normal brain function and aging but also with AD. Although we still lack information regarding the specific patterns of methylation in specific neuronal populations of key brain nuclei, transcriptomic alterations in AD via epigenetic deregulations could drive the induction of alterations in molecular cascades that will eventually end up with the induction or acceleration of the appearance of AD hallmarks and, consequently dementia and neurodegeneration. The ongoing search for more epigenetic modifications[95] will require the development of new technologies to improve our knowledge of the specific role of DNA modification in brain function. Data from a combination of better analyses of human AD samples that take into account the heterogeneity of brain tissue by studying the neuroepigenome via strategies such as single-cell epigenomics,[96] and base-resolution whole-genome studies of large cohorts of human samples,[97, 98] are sure to be of value for designing early therapeutic interventions aimed at preventing the initial alterations of and, ultimately, AD itself.

Parkinson's disease

PD is a relatively frequent form of neurodegeneration with a prevalence of ~2% worldwide in the over 70 years of age,[99] affecting more than four million people[100] and with an estimated incidence of 1% in people over 60 years of age.[101] PD is characterized by a plethora of symptoms progressing from non-motor changes (olfactory impairments, sleep alterations, constipation and depression)[102] to motor alterations (tremor, bradykinesia, rigidity).[103] Although the diagnosis of PD is based on the appearance of the motor symptoms, current knowledge indicates that the psychiatric manifestations of the disorder are the first to appear. At the pathophysiological level, PD is characterized by an accumulation of α-synuclein in diverse brain areas, accompanied by a loss of dopaminergic neurons in the substantia nigra and catecholaminergic neurons in the locus coeruleus.[15, 102] The brains of PD patients often present Lewy bodies, which are formed by the accumulation of α-synuclein, and by parkin and ubiquitin aggregates.[104] Although its cause remains unknown, it has been hypothesized that the disorder is influenced by the interaction of genetic and non-genetic factors, both contributing to a progressive neuronal loss in different brain areas. Monogenic cases of PD, directly affecting ~5–10% of all cases, have been described for mutations in the ATP13A2, DJ1, LRRK2, PARK2, PINK1 and UCHL-1 genes.[105, 106] In addition to the autonomic dominant mutations, several risk loci have also been identified.[107] However, the majority of PD cases are sporadic, their origin being unknown. Parkinson's disease dementia (PDD) is a late symptom affecting up to 80% of patients with PD.[108] Clinical manifestations of PDD not only include the classic memory impairments but also a myriad of phenotypes, such as alterations of the executive function, deficits in recognition memory, attention processes and visual perception, often accompanied by visual hallucinations and cognitive fluctuations.[109] However, the mechanisms underlying PDD are still not understood. Recently published data on the epigenetics of PD have suggested the involvement of this regulatory mechanism in the etiopathology of the disorder, although the exact involvement of DNA methylation in the initiation or progression of PD is still unclear. Most of the analyses of the role of DNA methylation in PD/PDD have confined themselves to investigating the regulation of genes causing PD. The promoter of SNCA, the gene responsible for the expression of the presynaptic α-synuclein, is hypomethylated at intron 1 in several brain areas such as the substantia nigra and cortex of PD patients.[110, 111, 112] This epigenetic regulation of SNCA could explain the higher level of expression of α-synuclein found in PD brains and other neurodegenerative disorders that feature dementia.[113] Interestingly, α-synuclein is capable of sequestering DNMT1 from the nucleus, a factor that could explain the global hypomethylation observed in human PD brains.[112] Nonetheless, more in-depth studies of SNCA epigenomic regulation are required, as other methylomic studies of PD have not been able to detect differences in SNCA intron 1 methylation levels.[41, 114] Besides SNCA, no other genes directly related to PD have been identified as being regulated via methylation of their promoters. Several studies using genome-wide approaches have failed to identify differences in DNA methylation of LRKK2, Parkin, UCHL-1, MAPT and ATP12A2 promoters.[41, 115, 116] However, genes such as PARK16/lq32, GPNMB and STX1B, associated with an increased risk of PD, showed altered methylation levels in PD brains.[115] Other analyses taking genome-wide approaches identified alterations of several genes at the methylation level.[41, 117] Interestingly, methylation levels of the NPAS2 gene, a clock gene, were lower in PD brains.[118] Sleep disturbances are a core symptom of PD[119] and NPAS2 is involved in sleep regulation.[120, 121] Little is known about 5 hmC changes in the brain of PD patients; the only data available have come from the 6-hydroxydopamine-induced rat model of PD. Using that model, Zhang et al.[122] were unable to find any difference in the levels of 5 hmC in rat brains.[122] Therefore, the potential involvement of 5 hmC in the causes or consequences of PD remains to be determined. Overall, little is known about aberrant DNA (hydroxy)methylation patterns in PD/PDD but the information obtained highlights the need for further research on the neuroepigenomics of PD, as the data collected so far indicate that epigenetic processes may mediate some of the molecular alterations observed in this pathology.

Dementia with Lewy bodies

Besides PD, there are other forms of dementia induced by the formation of Lewy bodies (abnormal aggregates of proteins, principally α-synuclein). DLB is a common form of dementia that differs from PD by the absence of parkinsonism and the progression of the pathology. PD and DLB are classified together as Lewy body dementias and are considered as a continuum rather than as distinct diseases, DLB being an early manifestation of dementia in PD patients.[108] DLB is the second most common form of age-related dementia, accounting for an estimated 16–24% of all dementias.[123] Although there is still no clear information about its neuropathological changes, DLB shares several pathological marks with AD, PD and PDD: the presence of altered Aβ levels both in DLB and AD has been described, and several mutations associated with AD or PD have also been related to DLB, including mutations in APP, PSEN1/2, SNCA and LRRK2.[40, 124] The clinical diagnosis of DLB focuses on the cognitive impairments associated with confusion and attentional deficits, especially those related to visuospatial function.[125] These symptoms are often accompanied by psychiatric alterations such as hallucinations, apathy and anxiety.[126, 127] Although the molecular driving events responsible for the development of DLB are still unknown, several authors have identified gene networks that are epigenetically deregulated in DLB. Humphries et al.[75] demonstrated that DLB brain tissue features DNA methylation alterations in genes related to synaptic function and behavioral response. This is not surprising since cognitive decline is one of the major alterations occurring in DLB.[9, 128] Although Aβ overproduction is common in DLB, one study failed to describe DNA methylation changes in human brains of DLB patients in the APP gene[53] or other AD-related genes.[54] Sleep disturbances are also common in DLB, especially rapid eye movement sleep behavior disorder.[129] It is of note that DNA methylation deregulation of the clock genes PER1 and CRY1, which help regulate the circadian cycle and sleep,[130] have been reported in DLB blood samples,[131] although it will be necessary to analyze the effects on the central circadian clock. Desplats et al.[112] described a global hypomethylation state in DLB post-mortem brain samples that probably arises from the reduction in Dnmt1 nuclear levels. The same authors not only described the general hypomethylation state but also reported that the promoter of the SNCA and SEPW1 genes, which are associated with PD,[110, 111, 132] was also hypomethylated in DLB. Very recently, our team reported that the DNA methylation level of the promoter of ANK1[65] was altered in DLB, along with genes related to several pathways, such as MAPK, ErbB, neurotrophin, mTOR, p53 signaling and regulation of the actin cytoskeleton.[41] In conclusion, further analysis of the epigenetic alterations in DLB is required. Owing to the molecular alterations common to that disorder, PDD and AD, the identification of epigenetically deregulated genes common to all these disorders[41] will provide invaluable knowledge of the early changes in DLB. A better understanding of aberrant DNA methylation, and an analysis of 5 hmC specific to DLB are necessary to enable the better stratification and diagnosis[108] of patients, and to accelerate the development of definitive therapeutic approaches.

Frontotemporal dementia

FTD is the second most common form of neurodegenerative disease and the third most common form of dementia, after AD and Lewy body dementias (PDD and DLB). It has an estimated prevalence of 3– 26% worldwide in people older than 65 years of age.[133] FTD is a heterogeneous disorder comprising various subtypes, including behavioral-variant frontotemporal dementia (the most common form of the disease, which accounts for ~70% of the cases of FTD) and the primary progressive aphasias, including the semantic-variant primary progressive aphasias and the non-fluent variant primary progressive aphasias.[134, 135] Clinical features of FTD vary depending on the subtype of the disorder, although symptoms may converge. In general, FTD is characterized by the presence of cognitive and executive impairments, spatial skills and memory deficits, decline in social conduct and deficits of speech.[136] Around 10% of FTD patients develop motor neuron disease and early parkinsonisms.[133] All these symptoms are associated with a bilateral frontal and anterior temporal lobe degeneration (frontotemporal lobar degeneration; FTLD), and degeneration of the striatum. At the histological level, FTD is characterized by neuronal loss (especially of large cortical nerve cells) and gliosis accompanied by microvacuolar changes. Other frequently observed alterations are the presence of argyrophilic neuronal inclusions, known as Pick bodies, which are positive for Tau and ubiquitin proteins, and swollen cells.[133, 136, 137] Approximately 40% of FTD patients report a history of dementia in the family.[138] The most frequent mutations are found in the microtubule-associated protein Tau[139] (MAPT) and in the growth factor progranulin (GRN) gene[140, 141] (which accounts for >50% of the inherited cases) and on the gene of the chromosome 9 open reading frame 72 (ref. 142) (C9orf72; ~25% of the cases). Other rare mutations appear in genes such as TARDBP, FUS, CHMP2B, TREM2 and VCP.[133, 143] However, most FTD cases are sporadic, with molecular alterations of unknown origin. Although a genome-wide analysis of the methylomic alterations in FTD has not been undertaken, some groups have investigated the role of DNA methylation in the regulation of specific genes associated with the risk of FTD. Two of the most prevalent mutated genes, GRN and C9orf72, have been found in aberrant methylomic state in FTD. The GRN gene is hypermethylated in FTD brains relative to age-matched controls, but notably, also in comparison with AD and PD samples.[144] The increased methylation was correlated with lower levels of GRN protein in the frontal cortex of FTD patients. Another of the genes associated with FTD, C9orf72, is epigenetically altered in patients' brains. Expansion of the G4C2 repeat located in the proximal region of C9orf72 is a pathological common cause of FTD.[145] Aberrant hypermethylation has been described in the G4C2 repeat,[146] and in the CpG island flanking the region of C9orf72.[147, 148, 149, 150] The size of the G4C2 repeat is positively correlated with the level of hypermethylation.[151] This hypermethylation correlates positively with a reduced neuronal loss, thus pointing out that the downregulation of the genes could have a protective effect in the hippocampus and frontal cortex of FTD patients' brains.[152, 153] Banzhaf-Strathmann et al.[144] also described the overexpression of DNMT3a in FTD brain samples, which might explain the hypermethylation state of both GRN and C9orf72 genes. Other genes associated with FTD, such as APP, PSEN1 and MAPT, did not show any methylation differences in FTD brain samples compared with age-matched controls.[54] The lack of any specific disease-modifying treatment for FTD makes it clear that more in-depth epigenetic analysis is necessary if we are to understand the role of DNA methylation as a potential driving event in this brain disorder. Genome-wide analysis of 5 mC and 5 hmC in different areas of post-mortem brain tissue will yield invaluable insights into potential new gene candidates that are epigenetically deregulated and simultaneously improve patient stratification, helping to differentiate FTD more accurately from other dementias.

Conclusions and future perspectives

Dementia covers a wide spectrum of cognitive abnormalities that arise as a clinical consequence of disorders such as AD, PD, DLB and FTLD. However, our knowledge of its etiology is rather limited and no effective treatments to prevent or revert this condition have been described so far. Dementias are age-associated disorders that, due to the progressive aging of our societies, are likely to increase in incidence.[3] Disorders such as AD, PD, DLB and FTLD not only share dementia as one of their core clinical manifestations but also have some molecular alterations in common, implying the existence of similar driving events that may diverge later, during the progression of each disorder. For example Aβ accumulations are considered a hallmark of AD but are also present in DLB; Tau hyperphosphorylation is observed not only in AD but also in PD and DLB; and α-synuclein inclusions are found in PD, DLB and AD.[154, 155, 156, 157, 158] The importance of epigenetic mechanisms in learning and memory processes[9, 128, 159] has prompted the scientific community to analyze the role of the epigenome in neurological diseases.[15] Accordingly, it has been proposed (the LEARn hypothesis) that epigenetic alterations during the lifespan would disturb gene expression over the long term, in an accumulative way, acting as a ‘seed' for the development of disorders such as dementia and neurodegeneration.[7] Thus, information about the epigenetic dysregulations of brain function would provide invaluable knowledge about the origin and progression of brain disorders, contributing to the development of effective therapeutic interventions. In this context, our laboratory has recently identified a network of genes undergoing an aberrant methylomic state of their promoters that is common to AD, PD and DLB.[41] While this is the first genome-wide demonstration of epigenetic alterations being shared by these disorders, several other alterations common to some of them have been described before (Tables 1 and 2). For example, ANK1, a gene associated with microglia activation, is epigenetically altered in AD[41, 49, 65] and DLB.[41] Other examples include the gene SNCA, which is aberrantly methylated in PD and DLB,[112] and TREM2, a gene mutated in FTD, which is epigenetically altered in AD.[71] In addition, α-synuclein can associate with DNMT1, sequestering it in the cytoplasm, resulting in global DNA hypomethylation. This effect of α-synuclein was found not only in PD cases but also in DLB.[112] As α-synuclein can also accumulate in AD,[154] this mechanism might also contribute to the global DNA hypomethylation seen in the latter. However, more in-depth analysis and genome-wide approaches are essential for understanding the role of aberrant epigenomes in dementia, especially in little understood disorders such as FTD and DLB. This is critical if we are to identify a causative role for DNA methylation in the appearance of neurodegenerative diseases by proving that environmental factors (life experiences, toxins, other disorders) may alter our epigenome in an accumulative way that may eventually end by developing dementia (the LEARn hypothesis[7]).
Table 1

DNA (hydroxy)methylation alterations in dementia (human brain studies only)

GeneRegulationDisorderBrain regionMethodsReferences
ABCA7Increased 5mCADPrefrontal cortexBS array[57]
ANK1Increased 5mCADEntorhinal and prefrontal cortexWGBS, BS array, pyrosequencing[41, 49, 65]
 Reduced 5mCDLBPrefrontal cortexWGBS, BS array, pyrosequencing[41]
 Increased 5hmCADPrefrontal cortexWG 5 hmC-enriched seq[89]
APPReduced 5mCADParietal cortex, temporal lobe and cerebellumMSRE-SB, pyrosequencing[51, 52, 53]
BDNFIncreased 5mCADPrefrontal cortexMSRE-PCR[66]
BIN1Increased 5mCADEntorhinal and prefrontal cortexBS array[49, 57]
 Increased 5hmCADPrefrontal cortexWG 5 hmC-enriched seq[89]
C9orf72Increased 5mCFTDFrontal cortex, temporal cortex, motor cortex, cerebellumMSRE-PCR, BS-seq, MSRE-SB[149, 150, 152]
COX2Reduced 5mCADPrefrontal cortexMSRE-PCR[49, 66]
CREBIncreased 5mCADPrefrontal cortexMSRE-PCR[66]
DIP2AIncreased 5mCADEntorhinal and prefrontal cortexBS array[49]
 Reduced 5hmCADPrefrontal cortexWG 5 hmC-enriched seq[89]
DNMT1Increased 5mCADPrefrontal cortexBS-MALDI[56]
DUSP22Increased 5mCADHippocampusBS array, pyrosequencing[59]
 Reduced 5hmCADPrefrontal cortexWG 5 hmC-enriched seq[89]
DUSP6Increased 5mCADSuperior temporal gyrusBS array[60]
GPNMBReduced 5mCPDFronta cortex, cerebellumBS array[115]
GRNIncreased 5mCFTDFrontal cortexBS-MALDI[144]
HLA-DRB5Increased 5mCADPrefrontal cortexBS array[57]
IGFBP7Reduced 5mCADPrefrontal cortexMeDIP[79]
MT-ND1Reduced 5mCADEntorhinal cortex and substantia nigraMeDIP[94]
MTHFRIncreased 5mCADPrefrontal cortexBS-MALDI[56]
NF-kBReduced 5mCADEntorhinal and prefrontal cortexBS array, MSRE-PCR[49, 66]
PARK16/lq32Reduced 5mCPDFronta cortex, cerebellumBS array[115]
PSEN1Reduced 5mCADPrefrontal cortexBS-MALDI[56]
RHBDF2Increased 5mCADEntorhinal and prefrontal cortexWGBS, BS array, pyrosequencing[41, 49]
SEPW1Reduced 5mCDLBFrontal cortexELISA, MS-PCR[112]
SERPINF1Increased 5mCADEntorhinal and prefrontal cortexBS array[49]
SERPINF2Increased 5mCADEntorhinal and prefrontal cortexBS array[49]
SLC24A4Increased 5mCADPrefrontal cortexBS array[57]
SNCAReduced 5mCPDSubstantia nigra and cortexBS-seq, ELISA, MS-PCR[110, 111, 112]
 Reduced 5mCDLBFrontal cortexELISA, MS-PCR[112]
SORBS3Increased 5mCADEntorhinal and prefrontal cortexBS array, pyrosequencing, MS-PCR[62, 64]
SORL1Increased 5mCADPrefrontal cortexBS array[57]
SPTBN4Increased 5mCADFrontal cortexBS array, pyrosequencing[62]
STX1BIncreased 5mCPDFronta cortex, cerebellumBS array[115]
TBXA2RIncreased 5mCADFrontal cortexBS array, pyrosequencing, MS-PCR[62, 64]
TMEM59Reduced 5mCADFrontal cortexBS array[58]
TREM2Increased 5mCADHippocampusBS-seq[71]
 Increased 5hmCADHippocampus5hMeDIP[71]

Abbreviations: AD, Alzheimer's disease; BS array, bisulfite-modified DNA based arrays; BS-MALDI, bisulfite matrix-assisted laser desorption/ionization; BS-seq, bisulfite sequencing; DLB, dementia with Lewy bodies; ELISA, enzyme-linked immunosorbent assay; FTD, frontotemporal dementia; 5mC, 5-methylcystosine; 5hmC 5-hydroxymethylcytosine; 5hMeDIP; 5-hydroxymethylated DNA immunoprecipitation; MeDIP, methylated DNA immunoprecipitation; MS-PCR, methylation specific PCR; MSRE-PCR, methylation-sensitive restriction enzyme PCR; MSRE-SB, methylation-sensitive restriction enzyme southern blot; PD, Parkinson's disease; WG 5 hmC-enriched seq, whole-genome sequencing analysis of 5-hydroxymethylcytosine-enriched sequences; WGBS, whole-genome bisulfite sequencing.

Table 2

GO analysis using the topGo tool for the genes with described epigenetic alterations in dementia

OntologyGO termsP-valueGenes
Biological processRegulation of cellular component organization4.4e−09ABCA7, ANK1, BIN1, DNMT1, GRN, IGFBP7, MTHFR, PSEN1, SERPINF1, SERPINF2, SNCA, SORBS3, SORL1, SPTBN4, STX1B, TMEM59, TREM2
 Vesicle-mediated transport9.1e−08ABCA7, ANK1, APP, BIN1, C9orf72, GRN, PSEN1, SERPINF2, SNCA, SORL1, SPTBN4, STX1B, TREM2
 Regulation of protein modification process2.4e−07ABCA7, APP, DNMT1, DUSP22, DUSP6, MTHFR, PSEN1, SERPINF2, SNCA, SORBS3, SORL1, SPTBN4, TMEM59, TREM2
 β-Amyloid formation7.0e−07ABCA7, PSEN1, SORL1
 Negative regulation of protein metabolic process8.2e−07ABCA7, APP, DNMT1, DUSP22, DUSP6, PSEN1, SERPINF1, SERPINF2, SNCA, SORL1, TMEM59
 Negative regulation of proteolysis1.6e−06APP, PSEN1, SERPINF1, SERPINF2, SNCA, SORL1, TMEM59
 Regulation of cellular protein metabolic process1.7e−06ABCA7, APP, DNMT1, DUSP22, DUSP6, MTHFR, PSEN1, SERPINF1, SERPINF2, SNCA, SORBS3, SORL1, SPTBN4, TMEM59, TREM2
 Regulation of MAPK cascade3.5e−06ABCA7, DUSP22, DUSP6, PSEN1, SERPINF2, SORBS3, SORL1, SPTBN4, TREM2
 Positive regulation of protein metabolic process3.6e−06ABCA7, APP, DNMT1, DUSP22, DUSP6, PSEN1, SERPINF2, SNCA, SORBS3, SORL1, SPTBN4, TREM2
 Regulation of protein metabolic process4.1e−06ABCA7, APP, DNMT1, DUSP22, DUSP6, MTHFR, PSEN1, SERPINF1, SERPINF2, SNCA, SORBS3, SORL1, SPTBN4, TMEM59, TREM2
    
Molecular functionEndopeptidase inhibitor activity1.7e−04APP, SERPINF1, SERPINF2, SNCA
 Tau protein binding1.8e−04BIN1, SNCA
 Endopeptidase regulator activity1.9e−04APP, SERPINF1, SERPINF2, SNCA
 Peptidase inhibitor activity2.0e−04APP, SERPINF1, SERPINF2, SNCA
 Enzyme binding2.7e−04ANK1, APP, BIN1, C9orf72, DNMT1, SERPINF2, SNCA, SORL1, SPTBN4, STX1B
 Peptidase regulator activity4.1e−04APP, SERPINF1, SERPINF2, SNCA
 Serine-type endopeptidase inhibitor activity5.2e−04APP, SERPINF1, SERPINF2
 Structural constituent of cytoskeleton6.3e−04ANK1, SORBS3, SPTBN4
 Spectrin binding7.9e−04ANK1, SPTBN4
 Tyrosine/serine/threonine phosphatase activity2.7e−03DUSP22, DUSP6

Abbreviations: GO, gene ontology; MAPK, mitogen-activated protein kinase.

The top 10 more significant terms at the biological process and molecular function characterization levels are shown. P-values show the statistical significance of the enrichment of gene ontology terms with analyzed genes.

Epigenetic brain changes are strong correlated with normal aging,[11, 160, 161] suggesting that DNA methylation patterns are modified to start senescence programs.[162] Interestingly, accelerate epigenetic aging has been described in dementia-related disorders such as AD[163] and PD.[164] Together with the fact that age is the most important risk factor for many dementia-related disorders, these data suggest a strong association between dementia and an accelerated epigenetic aging. The young field of neuroepigenomics[13] is increasingly identifying new druggable pathways and targets in dementia, demonstrating the importance of the epigenetic component in the healthy brain and in brain disorders.[165] The epigenetic discoveries made in the field of dementia in recent years suggest that neuroepigenomic alterations are fundamental in dementia. Several disorders that feature dementia share common aberrant DNA methylation pattern,[41] suggesting that these genes could be responsible for the common clinical symptoms presented. However, several methodological and biological drawbacks need to be addressed to properly understand the alterations of the epigenome that occur in dementia. This, together with more in-depth proper cross-disorder studies, will eventually open up the potential for designing effective therapeutic interventions to prevent or revert such pathologies. Until now, all human neuroepigenetic studies have been carried out using post-mortem brain tissue samples. Customarily, grey matter (or often a mixture of white and grey matter) is used for DNA extraction and DNA methylation changes are subsequently analyzed using bisulfite conversion or other techniques.[166] Furthermore, the heterogeneity of brain cells[167, 168] makes more specific types of preparation essential if we are to understand the specific aberrant methylomes associated with dementia in particular cell populations. This limitations are probably the base of current discrepancies found in the literature on the epigenomics of dementia (different brain sections, even from the same brain area, thus different cellular composition; different ‘life stages' of the patients, etc). Other possible confounders, such geographic distribution of patients,[169] sex[170] and so on, may be important to explain discrepancies. On the other hand, future studies need to address properly the correlation between neuropathological stage of the disease studied and the changes in (hydroxyl)methylation to properly understand the pathological evolution of the disorder under the epigenomic point of view. Other critical issue is that classically, DNA methylation patterns have been interrogated through sodium bisulfite-treated DNA. This chemical agent transforms ‘unprotected' cytosines to uracils. However, both methylation and hydroxymethylation modifications protect such cytosines to be transformed. Thus, bisulfite-based analysis do not allow to differentiate between 5 mC and 5 hmC, although the data generated on 5 hmC indicates the importance of this modification by itself,[161] especially in the brain.[171] Recently, a commercially available kit (TrueMethyl Array Kit (Cambridge Epigenetix, Cambridge, UK)) has been developed allowing for the differentiation between 5 mC and 5 hmC.[172] Together with the development of new technologies for interrogating the epigenome (i.e. nanopore sequencing[173]), this kit will eventually increase the current knowledge of the role of 5-hydroxymethylation on dementia, and will force to revise previous published data on DNA methylation on brain disorders, possibly helping to understand current discrepancies. The epigenomic analysis of brain seek to establish strong associations between the (hydroxyl)methylome and the human disorder, but those findings need to be validated to confirm if a specific alteration has a causative role on the disease. Together with the lack of longitudinal studies in human samples that would allow to establish the disorder-causality role of the epigenetic alterations observed, it is clear that the need of better ‘humanized' dynamic models of the pathologies could improve our understanding of dementia. Research with induced pluripotent stem cells differentiated to specific neuronal populations[174] or single-cell epigenomics[175] will undoubtedly reveal a completely new level of complexity and a set of genes that are altered in dementia-associated pathologies by identifying causal associations between neuronal dysfunctions, gene expression and epigenetic (de)regulation. Recent advances in genetic and epigenetic editing through technologies such CRISPR/Cas9[176, 177] will undoubtfully provide a powerful experimental tool that will allow to validate epigenetically altered targets to improve the possible causality of DNA methylome alteration in dementia. The brain is an extraordinary organ showing high levels of epigenetic features, such as non-CpG methylation.[21, 178] The understanding of the role of these non-CpG changes along with the more detailed dissection of the specific role of 5-methylcytosine, 5-hydroxymethylcytosine and newly discovered marks, such as the N6-methyladenine,[95, 179] will help the scientific community understand the epigenetic mechanisms underpinning dementia. The recent analysis of human reference epigenomes[180] will enable future neuroepigenomics research to exploit the full potential of alterations in DNA methylation patterns in specific genes and cell populations to enable better patient diagnosis, and the stratification and treatment of dementia and other brain disorders.
  174 in total

Review 1.  Single-cell epigenomics: techniques and emerging applications.

Authors:  Omer Schwartzman; Amos Tanay
Journal:  Nat Rev Genet       Date:  2015-10-13       Impact factor: 53.242

2.  New sequencing technologies.

Authors:  Ivo Glynne Gut
Journal:  Clin Transl Oncol       Date:  2013-07-12       Impact factor: 3.405

Review 3.  An Adenine Code for DNA: A Second Life for N6-Methyladenine.

Authors:  Holger Heyn; Manel Esteller
Journal:  Cell       Date:  2015-04-30       Impact factor: 41.582

4.  Spatial distribution of 5-hydroxymethyl cytosine in rat brain and temporal distribution in striatum.

Authors:  Tingting Zheng; Qing Lv; Xiaoguang Lei; Xinzhen Yin; Baorong Zhang
Journal:  Neurochem Res       Date:  2015-02-03       Impact factor: 3.996

5.  Insulin growth factor binding protein 7 is a novel target to treat dementia.

Authors:  Hope Y Agbemenyah; Roberto C Agis-Balboa; Susanne Burkhardt; Ivana Delalle; Andre Fischer
Journal:  Neurobiol Dis       Date:  2013-09-25       Impact factor: 5.996

Review 6.  Reading the unique DNA methylation landscape of the brain: Non-CpG methylation, hydroxymethylation, and MeCP2.

Authors:  Benyam Kinde; Harrison W Gabel; Caitlin S Gilbert; Eric C Griffith; Michael E Greenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-04       Impact factor: 11.205

7.  Dementia with Lewy bodies from the perspective of tauopathy.

Authors:  Eizo Iseki; Takashi Togo; Kyoko Suzuki; Omi Katsuse; Wami Marui; Rohan de Silva; Andrews Lees; Takayuki Yamamoto; Kenji Kosaka
Journal:  Acta Neuropathol       Date:  2002-11-22       Impact factor: 17.088

8.  Epigenome-wide association study for Parkinson's disease.

Authors:  Kerry Moore; Amy Jayne McKnight; David Craig; Francis O'Neill
Journal:  Neuromolecular Med       Date:  2014-10-11       Impact factor: 3.843

9.  Integrative analysis of 111 reference human epigenomes.

Authors:  Anshul Kundaje; Wouter Meuleman; Jason Ernst; Misha Bilenky; Angela Yen; Alireza Heravi-Moussavi; Pouya Kheradpour; Zhizhuo Zhang; Jianrong Wang; Michael J Ziller; Viren Amin; John W Whitaker; Matthew D Schultz; Lucas D Ward; Abhishek Sarkar; Gerald Quon; Richard S Sandstrom; Matthew L Eaton; Yi-Chieh Wu; Andreas R Pfenning; Xinchen Wang; Melina Claussnitzer; Yaping Liu; Cristian Coarfa; R Alan Harris; Noam Shoresh; Charles B Epstein; Elizabeta Gjoneska; Danny Leung; Wei Xie; R David Hawkins; Ryan Lister; Chibo Hong; Philippe Gascard; Andrew J Mungall; Richard Moore; Eric Chuah; Angela Tam; Theresa K Canfield; R Scott Hansen; Rajinder Kaul; Peter J Sabo; Mukul S Bansal; Annaick Carles; Jesse R Dixon; Kai-How Farh; Soheil Feizi; Rosa Karlic; Ah-Ram Kim; Ashwinikumar Kulkarni; Daofeng Li; Rebecca Lowdon; GiNell Elliott; Tim R Mercer; Shane J Neph; Vitor Onuchic; Paz Polak; Nisha Rajagopal; Pradipta Ray; Richard C Sallari; Kyle T Siebenthall; Nicholas A Sinnott-Armstrong; Michael Stevens; Robert E Thurman; Jie Wu; Bo Zhang; Xin Zhou; Arthur E Beaudet; Laurie A Boyer; Philip L De Jager; Peggy J Farnham; Susan J Fisher; David Haussler; Steven J M Jones; Wei Li; Marco A Marra; Michael T McManus; Shamil Sunyaev; James A Thomson; Thea D Tlsty; Li-Huei Tsai; Wei Wang; Robert A Waterland; Michael Q Zhang; Lisa H Chadwick; Bradley E Bernstein; Joseph F Costello; Joseph R Ecker; Martin Hirst; Alexander Meissner; Aleksandar Milosavljevic; Bing Ren; John A Stamatoyannopoulos; Ting Wang; Manolis Kellis
Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

10.  Validation of a DNA methylation microarray for 850,000 CpG sites of the human genome enriched in enhancer sequences.

Authors:  Sebastian Moran; Carles Arribas; Manel Esteller
Journal:  Epigenomics       Date:  2015-12-17       Impact factor: 4.778

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  26 in total

1.  DNA Methyltransferase 1 Is Dysregulated in Parkinson's Disease via Mediation of miR-17.

Authors:  Hong-Qiu Zhang; Jian-Yong Wang; Zhao-Feng Li; Lei Cui; Shi-Shi Huang; Lan-Bing Zhu; Yue Sun; Rui Yang; Hui-Hui Fan; Xiong Zhang; Jian-Hong Zhu
Journal:  Mol Neurobiol       Date:  2021-01-22       Impact factor: 5.590

Review 2.  Promoter DNA hypermethylation - Implications for Alzheimer's disease.

Authors:  Yiyuan Liu; Minghui Wang; Edoardo M Marcora; Bin Zhang; Alison M Goate
Journal:  Neurosci Lett       Date:  2019-07-24       Impact factor: 3.046

3.  Blood DNA methylation as a potential biomarker of dementia: A systematic review.

Authors:  Peter D Fransquet; Paul Lacaze; Richard Saffery; John McNeil; Robyn Woods; Joanne Ryan
Journal:  Alzheimers Dement       Date:  2017-11-08       Impact factor: 21.566

4.  Epigenetic Regulation of Amyloid-beta Metabolism in Alzheimer's Disease.

Authors:  Chuan He; Zhong-Sheng Huang; Chao-Chao Yu; Hai-Hua Wang; Hua Zhou; Li-Hong Kong
Journal:  Curr Med Sci       Date:  2021-01-11

5.  Association of Epigenetic Age Acceleration With Incident Mild Cognitive Impairment and Dementia Among Older Women.

Authors:  Aladdin H Shadyab; Linda K McEvoy; Steve Horvath; Eric A Whitsel; Stephen R Rapp; Mark A Espeland; Susan M Resnick; JoAnn E Manson; Jiu-Chiuan Chen; Brian H Chen; Wenjun Li; Kathleen M Hayden; Wei Bao; Cynthia D J Kusters; Andrea Z LaCroix
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-06-01       Impact factor: 6.591

6.  Curcumin prevents Alzheimer's disease progression by upregulating JMJD3.

Authors:  Yutong Wang; Hong Zhang; Linlin Hua; Zhen Wang; Shuang Geng; Hui Zhang; Zhilei Zeng; Jing Zhao; Xiaoyan Wang; Yunliang Wang
Journal:  Am J Transl Res       Date:  2022-08-15       Impact factor: 3.940

Review 7.  Functional Foods: An Approach to Modulate Molecular Mechanisms of Alzheimer's Disease.

Authors:  Anna Atlante; Giuseppina Amadoro; Antonella Bobba; Valentina Latina
Journal:  Cells       Date:  2020-10-23       Impact factor: 6.600

Review 8.  Gut Microbiota Composition and Epigenetic Molecular Changes Connected to the Pathogenesis of Alzheimer's Disease.

Authors:  Priyanka Nagu; Arun Parashar; Tapan Behl; Vineet Mehta
Journal:  J Mol Neurosci       Date:  2021-04-08       Impact factor: 3.444

Review 9.  Epigenetics in Lewy Body Diseases: Impact on Gene Expression, Utility as a Biomarker, and Possibilities for Therapy.

Authors:  Aintzane Urbizu; Katrin Beyer
Journal:  Int J Mol Sci       Date:  2020-07-02       Impact factor: 5.923

Review 10.  Epigenetic mechanisms during ageing and neurogenesis as novel therapeutic avenues in human brain disorders.

Authors:  Raúl Delgado-Morales; Roberto Carlos Agís-Balboa; Manel Esteller; María Berdasco
Journal:  Clin Epigenetics       Date:  2017-06-29       Impact factor: 6.551

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