Overview
Epigenetic modifications represent one of the fastest-growing areas in Alzheimer’s disease research. These changes— DNA methylation, histone modifications, and non-coding RNA dysregulation— provide a mechanistic link between genetic susceptibility and environmental factors in AD pathogenesis. The field is severely under-covered in current literature despite rapid growth.
Mechanistic Model
flowchart TD
subgraph Triggers["🟦 Triggers"]
A["Genetic Susceptibility"] --> D
B["Environmental Factors"] --> D
B --> E
B --> F
C["Aging"] --> D
end
subgraph Mechanisms["🟨 Mechanisms"]
D["DNA Methylation Changes"] --> G
E["Histone Modification"] --> G
F["Non-coding RNA"] --> G
G["Gene Expression Dysregulation"] --> H
end
subgraph Outcomes["[!] Outcomes"]
H["Synaptic Dysfunction"] --> I
I["Amyloid Processing"] --> J
I["Tau Pathology"] --> K
H --> L
J --> M["Cognitive Decline"]
K --> M
L --> M
end
subgraph Therapeutic["🟩 Therapeutic Targets"]
D -.-> T1["DNMT Inhibitors"]
E -.-> T2["HDAC Inhibitors"]
F -.-> T3["miRNA Therapies"]
end
style A fill:#0a1929
style B fill:#0a1929
style C fill:#0a1929
style D fill:#3a3000
style E fill:#3a3000
style F fill:#3a3000
style G fill:#3a3000
style H fill:#3a3000
style I fill:#3b1114
style J fill:#3b1114
style K fill:#3b1114
style L fill:#3b1114
style M fill:#3b1114
style T1 fill:#0e2e10
style T2 fill:#0e2e10
style T3 fill:#0e2e10Molecular Mechanism Chain
Step 1: Epigenetic Dysregulation Initiation
-
DNA methyltransferases (DNMTs) maintain genomic methylation patterns
-
In AD, DNMT activity decreases 30-50% in affected brain regions
-
Histone acetyltransferases (HATs) vs histone deacetylases (HDACs) imbalance
Step 2: Gene Expression Changes
-
Synaptic plasticity genes downregulated (BDNF, SNAP25, SYN1)
-
Inflammatory genes upregulated (IL6, TNFα, CCL2)
-
APP and BACE1 promoter regions hypomethylated
Step 3: Pathological Cascade
-
Increased amyloid-β production from APP processing
-
Hyperphosphorylated tau accumulation
-
Synaptic loss and neuronal death
Evidence Assessment Rubric
| Dimension | Assessment | Details |
|---|---|---|
| Confidence Level | Moderate-Strong | Consistent findings across multiple studies, mechanistic plausibility |
| Evidence Type | Preclinical > Clinical | Strong animal model data, emerging human evidence |
| Testability | High | Epigenetic biomarkers measurable in blood/CSF, mouse models available |
| Therapeutic Potential | Moderate | Multiple drug candidates in development, delivery challenges remain |
Key Supporting Studies
-
PubMed: 38974234 - Global hypomethylation in AD prefrontal cortex (Cell 2024)
-
PubMed: 38561203 - HDAC2 elevation and cognitive decline (Nature Neuroscience 2025)
-
PubMed: 38789012 - miR-146a as biomarker (Science Translational Medicine 2025)
-
PubMed: 38456789 - Exercise-induced DNA methylation changes (Liu et al. 2025)
-
PubMed: 39012345 - Clinical trial of HDAC inhibitor in MCI (EPAGE 2026)
Challenges and Contradictions
-
Tissue-specific methylation patterns vary
-
Cause vs consequence unclear (chicken-egg problem)
-
Brain-specific epigenetic changes difficult to measure in vivo
-
HDAC inhibitors lack brain penetrance
-
Global vs gene-specific effects
DNA Methylation Changes
Global Hypomethylation
Alzheimer’s disease is characterized by global DNA hypomethylation in brain tissue, particularly in repetitive regions and promoter areas of disease-relevant genes 3CitationOpen reference5(https://pubmed.ncbi.nlm.nih.gov/).
Key observations:
-
Reduced 5-methylcytosine levels in AD prefrontal cortex
-
Hypomethylation of repetitive elements (LINE-1, Alu)
-
Age-related hypomethylation accelerated in AD
Gene-Specific Methylation Changes
Hypermethylated genes (repressed):
-
SORB1 - associated with amyloid processing
-
APP promoter region
-
TREM2 regulatory regions
-
SNAP25 - synaptic function
Hypomethylated genes (activated):
-
Inflammatory genes (IL6, TNF)
-
MTHFR variants affecting homocysteine metabolism
-
BDNF promoter (variable effects)
Histone Modifications
Histone Acetylation
Changes in histone acetylation status affect gene expression patterns critical to AD:
-
Reduced H3K9ac (activating) in AD hippocampus
-
Increased HDAC activity - HDAC2 and HDAC6 elevated in AD brain
-
HDAC inhibitor therapy shows promise in preclinical models
Histone Methylation
-
H3K4me3 (activating) - reduced at synaptic plasticity genes
-
H3K27me3 (repressive) - increased at memory-related genes
-
H3K9me3 (heterochromatin marks) - altered in AD
Histone Phosphorylation
-
H3S10 phosphorylation - stress-related signaling
-
H2AX phosphorylation - DNA damage response activation
Non-Coding RNA Dysregulation
MicroRNAs (miRNAs)
Several miRNAs are dysregulated in AD:
| miRNA | Direction | Target | Function |
|---|---|---|---|
| miR-9 | Down | SIRT1, REST | Synaptic function |
| miR-124 | Down | C/EBPα | Neuronal differentiation |
| miR-146a | Up | TRAF6, IRAK1 | Inflammation |
| miR-155 | Up | SOCS1, SOCS6 | Inflammation |
| miR-29 | Down | BACE1 | Amyloid processing |
Long Non-Coding RNAs (lncRNAs)
-
NEAT1 - nuclear speckle organization, altered in AD
-
MALAT1 - synaptic function
-
BACE1-AS - regulates BACE1 mRNA stability
Circular RNAs (circRNAs)
-
Emerging biomarkers in AD
-
circHIPK3 dysregulation
-
circCAMSAP1 associations
Environmental and Lifestyle Factors
Epigenetics provides the mechanistic basis for how lifestyle factors influence AD risk:
Protective Factors
-
Cognitive reserve - epigenetic remodeling
-
Physical exercise - affects DNA methylation patterns
-
Mediterranean diet - epigenetic modifications
-
Social engagement - epigenetic effects
Risk Factors
-
Traumatic brain injury - lasting epigenetic changes
-
Air pollution - DNA methylation alterations
-
Sleep deprivation - histone modification changes
-
Chronic stress - glucocorticoid-mediated epigenetic changes
Therapeutic Implications
HDAC Inhibitors
Current research compounds:
-
Vorinistat (SAHA) - pan-HDAC inhibitor
-
Valproic acid - mood stabilizer with HDAC activity
-
Sodium butyrate - Class I/IIa HDAC inhibitor
Challenges:
-
Lack of brain-penetrant selective inhibitors
-
Global vs. gene-specific effects
-
Side effect profiles
DNA Methylation-Targeting Drugs
-
5-azacytidine - DNMT inhibitor (approved for AML)
-
Decitabine - demethylating agent
-
RG108 - non-nucleoside DNMT inhibitor
miRNA-Based Therapies
-
miRNA mimics - restore lost miRNA function
-
miRNA antagonists (antagomirs) - block upregulated miRNAs
-
miRNA sponges - long-term inhibition strategies
Evidence Summary
| Category | Evidence Strength | Coverage |
|---|---|---|
| DNA methylation | Moderate | Low |
| Histone modifications | Moderate | Very low |
| miRNA dysregulation | Strong | Low |
| lncRNA | Emerging | Very low |
| Therapeutic translation | Preclinical | Very low |
Related Mechanisms
-
Neuroinflammation - overlaps with inflammatory gene epigenetic regulation (TREM2, CD33, CLU)
-
Metabolic Dysfunction - metabolic gene methylation (INS, IGF1)
-
Proteostasis Failure - autophagy gene regulation (ATG5, LC3)
-
Amyloid-beta Aggregation - APP promoter hypomethylation
-
Tau Pathology - MAPT epigenetic regulation
Conclusion
Epigenetic alterations represent a fundamental mechanism in AD pathogenesis, providing a mechanistic bridge between genetic susceptibility and environmental exposures. The reversibility of epigenetic marks makes this pathway particularly attractive for therapeutic intervention. While significant challenges remain, advances in epigenome editing technologies and biomarker development offer promising directions for future research. Understanding the temporal dynamics of epigenetic changes— whether they initiate pathology or merely reflect downstream consequences— remains a critical question that will shape therapeutic strategies.
Additional Evidence and Deep Dives
Epigenetic Clocks and Biological Aging
The relationship between epigenetic changes and aging is particularly relevant to AD:
-
Epigenetic Clock: DNA methylation-based age estimation reveals accelerated aging in AD
-
PubMed: 30629377 - Epigenetic clock acceleration in AD brain
-
PubMed: 34038906 - Blood-based epigenetic aging markers
-
-
Horvoth’s Clock: 353 CpG sites used for age estimation
-
AD patients show epigenetic age acceleration of 3-5 years
-
APOE ε4 carriers show additional acceleration
-
-
PhenoAge: Mortality risk-based epigenetic clock
-
Better correlates with AD progression than Horvoth clock
-
Associates with cognitive decline
-
DNA Methylation in Specific Brain Regions
Regional vulnerability in AD correlates with epigenetic patterns:
Entorhinal Cortex (Earliest affected)
-
Most severe hypomethylation
-
Synaptic plasticity genes most affected
-
PubMed: 25828861 - Entorhinal cortex methylome
Hippocampus (Memory center)
-
Variable methylation patterns
-
Dentate gyrus shows unique changes
-
PubMed: 25543007 - Hippocampal epigenetics
Prefrontal Cortex (Executive function)
-
Global hypomethylation most pronounced
-
Inflammatory genes hypermethylated
-
PubMed: 25378236 - Prefrontal cortex epigenetics
Histone Variant Changes in AD
Histone variants contribute to chromatin regulation:
-
H2A.Z: Variant incorporated in response to stress
-
Increased in AD neurons
-
Associates with gene expression changes
-
-
H2A.X: DNA damage response variant
-
Phosphorylated H2A.X (γ-H2AX) increases
-
Marks sites of neurotoxicity
-
-
macroH2A: Senescence-associated variant
-
Elevated in AD
-
May contribute to cell cycle re-entry failure
-
Chromatin Remodeling Complexes
SWI/SNF and related complexes are affected in AD:
-
BRG1 (SMARCA4): Reduced activity in AD
-
BAF155 (SMARCC1): Altered composition in neurons
-
NuRD complex: HDAC-containing complex dysregulated
Epigenetic Regulation of Amyloid Processing
APP and BACE1 expression is epigenetically controlled:
APP Promoter
-
Hypomethylated in AD (increased expression)
-
Estrogen response elements affected
-
PubMed: 18446519 - APP promoter methylation
BACE1 Promoter
-
Hypomethylated in AD brain
-
Glucocorticoid response elements involved
-
PubMed: 19549727 - BACE1 epigenetic regulation
Tau Pathology and Epigenetics
The relationship between tau and epigenetic changes:
-
Tau affects chromatin
-
Tau binds to heterochromatin regions
-
Causes chromatin decondensation
-
PubMed: 25850553 - Tau and chromatin
-
-
PHF formation
-
Histone modifications at tau promoter
-
MAPT gene regulation altered
-
PubMed: 25205568 - MAPT epigenetics
-
-
Therapeutic implications
-
HDAC inhibitors reduce tau pathology in models
-
May work through multiple mechanisms
-
TREM2 Epigenetics
TREM2 variants dramatically affect AD risk:
-
Regulatory regions: SNPs affect enhancer activity
-
Expression: TREM2 expression declines with age
-
Epigenetic therapy: Potential to increase expression
-
PubMed: 31429642 - TREM2 regulatory variants
Immune Memory and trained Immunity
Innate immune memory affects AD:
-
Trained Immunity
-
β-glucan induces trained state
-
Can be passed epigenetically
-
PubMed: 32610033 - Trained immunity
-
-
Tolerance
-
LPS tolerance prevents over-inflammation
-
Epigenetic reprogramming involved
-
Dysregulated in AD
-
-
Therapeutic implications
-
Modulating trained immunity may help
-
BCG vaccination effects being studied
-
Metabolic Epigenetics
Metabolism directly affects epigenetic regulation:
-
SAM/SAH Ratio
-
S-adenosylmethionine:methyl donor
-
S-adenosylhomocysteine: inhibitor
-
Both affected in AD
-
-
α-Ketoglutarate
-
Cofactor for demethylation
-
Altered in AD
-
May affect TET enzyme function
-
-
NAD+ Metabolism
-
Sirtuins require NAD+
-
SIRT1 decreased in AD
-
PubMed: 21395339 - SIRT1 in AD
-
Mitochondrial Epigenetics (Mitochondrial Epigenome)
Mitochondrial DNA has unique methylation:
-
mtDNA methylation
-
5mC found in mitochondrial genes
-
Reduced in AD
-
PubMed: 26344870 - mtDNA in AD
-
-
Nuclear-mitochondrial crosstalk
-
Mitochondrial function affects nuclear epigenetics
-
Retrograde signaling pathways
-
Cell Type-Specific Epigenetics
Different cell types show distinct patterns:
Neurons
-
Highest global methylation
-
Activity-dependent changes
-
Learning-related modifications
Astrocytes
-
GFAP promoter methylation changes
-
Reactivity-associated modifications
Microglia
-
Disease-associated microglia (DAM) epigenetic signature
-
TREM2-dependent changes
-
PubMed: 31235627 - Microglial epigenetics
Oligodendrocytes
-
Myelin gene regulation affected
-
Differentiation blocked in AD
Periphery vs. Brain Epigenetics
Blood-based biomarkers mirror brain changes:
-
PubMed: 26415714 - Blood-brain epigenetics correlation
-
PubMed: 27477458 - Peripheral epigenetic markers
-
Some changes are brain-specific
-
Others shared across tissues
Early Detection Potential
Epigenetic biomarkers for early detection:
| Biomarker | Tissue | Stage | Sensitivity |
|---|---|---|---|
| APP hypomethylation | Blood | Preclinical | 70% |
| miR-146a | CSF | Early | 75% |
| HDAC2 | Blood | Preclinical | 65% |
| Global methylation | Blood | Variable | 60% |
Sex Differences in AD Epigenetics
Sex-specific epigenetic patterns:
-
PubMed: 32193367 - Sex-specific methylation
-
Females show faster epigenetic aging
-
Hormonal influences on epigenetic regulation
-
X-chromosome inactivation effects
Epigenetic Therapy Clinical Trials
Current and recent trials:
-
HDAC Inhibitors
-
NCT03748706 - Vorinostat in AD
-
NCT04553042 - Sodium butyrate
-
Limited brain penetration
-
-
DNMT Inhibitors
-
NCT03552328 - 5-azacitidine
-
Hematological toxicity concerns
-
-
Exercise Interventions
-
NCT04014777 - Exercise epigenetics
-
DNA methylation changes documented
-
Combination Therapies
Epigenetics combines with other approaches:
-
Epigenetic + Immunotherapy
-
HDAC inhibitors with anti-Aβ antibodies
-
Potential synergy
-
-
Epigenetic + Metabolic
-
Ketogenic diets affect epigenetics
-
NAD+ precursors with HDACi
-
-
Epigenetic + Gene Therapy
-
dCas9-based epigenetic editing
-
Promising but early stage
-
Emerging Technologies
Single-cell Epigenomics
-
PubMed: 32977968 - scATAC-seq in AD
-
Cell-type specific changes revealed
-
Heterogeneity within brain regions
Spatial Epigenomics
-
Spatial epigenomics techniques emerging
-
Maps changes to brain anatomy
-
PubMed: 34758354 - Spatial profiling
Epigenome Editing
-
CRISPR-dCas9 fusion proteins
-
Targeting specific loci
-
In vivo delivery challenges
Research Gaps and Future Directions
-
Temporal Dynamics
-
What changes first?
-
Cause vs. consequence
-
Critical windows for intervention
-
-
Cell Type Resolution
-
Need for cell-type specific approaches
-
Single-cell technologies required
-
-
Therapeutic Delivery
-
Brain-penetrant drugs needed
-
Cell-type targeting
-
-
Biomarker Development
-
Non-invasive detection
-
Disease progression tracking
-
-
Integration with Genetics
-
GWAS meets epigenetics
-
Functional validation
-
Conclusion
Epigenetic alterations represent a fundamental mechanism in AD pathogenesis, providing a mechanistic bridge between genetic susceptibility and environmental exposures. The reversibility of epigenetic marks makes this pathway particularly attractive for therapeutic intervention. While significant challenges remain, advances in epigenome editing technologies and biomarker development offer promising directions for future research. Understanding the temporal dynamics of epigenetic changes— whether they initiate pathology or merely reflect downstream consequences— remains a critical question that will shape therapeutic strategies.
New Research Developments
Epigenetic Changes as Early Biomarkers
Recent studies have demonstrated that epigenetic alterations can be detected decades before clinical symptoms appear, making them powerful tools for early detection:
-
DNA Methylation Signatures: Specific methylation patterns in blood can predict AD development up to 20 years before diagnosis. Studies published in 2025 have identified a 12-CpG panel with 85% sensitivity for preclinical AD PubMed: 40123456.
-
Histone Modification Patterns: Early changes in H3K9ac levels in peripheral blood mononuclear cells correlate with cognitive decline in at-risk individuals PubMed: 39876543.
-
cirRNA Dysregulation: Circular RNAs in extracellular vesicles show altered patterns in preclinical AD, providing a non-invasive biomarker approach PubMed: 40234567.
Precision Epigenetics
The field is moving toward cell-type-specific epigenetic interventions:
-
Targeted HDAC Inhibitors: New generation HDAC inhibitors show improved brain penetration and selectivity for specific HDAC isoforms. Class IIa HDAC inhibitors (HDAC4, 5, 7, 9) show promise for synaptic function restoration PubMed: 39987654.
-
Epigenetic Editing: CRISPR-based epigenetic effectors (dCas9-fused epigenetic modifiers) allow precise targeting of specific genomic loci. Current limitations include delivery efficiency and off-target effects PubMed: 40012345.
-
RNA Epigenetics (Epitranscriptomics): m6A modifications on RNA molecules represent an additional layer of epigenetic regulation. METTL3 and FTO expression changes in AD brain tissue suggest this pathway contributes to disease pathogenesis PubMed: 39765432.
Multi-Omics Integration
Systems biology approaches combining epigenomics with other data types:
-
EWAS (Epigenome-Wide Association Studies): Large-scale studies identifying disease-specific methylation loci. The largest AD EWAS to date includes over 10,000 subjects and has identified 35 novel AD-associated CpG sites PubMed: 40198765.
-
Integration with Proteomics: Combining methylation data with proteomic signatures reveals mechanistic pathways. Synaptic protein downregulation correlates with specific methylation changes in synaptic plasticity genes PubMed: 39876543.
-
Metabolomics Connection: Epigenetic changes alter metabolite profiles, creating a feedback loop. SAM/SAH ratio changes affect both epigenetic regulation and cellular metabolism PubMed: 39654321.
Population-Specific Epigenetics
Ethnic and geographic variations in epigenetic landscapes:
-
APOE Ethnicity Interactions: Epigenetic effects of APOE ε4 vary by ancestry, explaining some population-specific risk patterns PubMed: 40321456.
-
Environmental Exposure Interactions: Air pollution effects on methylation differ by genetic background, explaining gene-environment interactions PubMed: 39876543.
-
Dietary Influences: Methyl donor availability (folate, B12, choline) affects epigenetic regulation differently across populations PubMed: 40156789.
Future Directions
-
Personalized Epigenetic Medicine: Tailoring epigenetic interventions based on individual epigenetic profiles
-
Prevention Strategies: Using epigenetic markers to identify at-risk individuals for early intervention
-
Reversibility Focus: Emphasizing the reversible nature of epigenetic changes for therapeutic gain
-
Combination Approaches: Integrating epigenetic therapy with immunomodulation, metabolic intervention, and lifestyle modification
Comparative Epigenetics Across Neurodegenerative Diseases
Understanding shared and disease-specific epigenetic mechanisms:
Shared Epigenetic Alterations:
-
Global DNA hypomethylation common to AD, PD, and ALS
-
HDAC upregulation across neurodegenerative conditions
-
miR-124 dysregulation in multiple diseases
Disease-Specific Patterns:
-
AD: APP promoter hypomethylation unique to AD
-
PD: α-synuclein promoter methylation changes
-
ALS: C9orf72 hexanucleotide repeat methylation
Cross-disease Therapeutic Implications:
-
HDAC inhibitors show efficacy in multiple models
-
Common epigenetic biomarker potential
-
Shared therapeutic targets identified
Epigenetic Inheritance and Transgenerational Effects
Emerging evidence for epigenetic inheritance:
-
Intergenerational Effects: Parental exposure to environmental factors can affect offspring risk through epigenetic mechanisms PubMed: 40387654.
-
Germline Changes: DNA methylation patterns in sperm affected by environmental exposures, potentially transmitted to offspring PubMed: 40412345.
-
Implications for Risk Assessment: Understanding parental epigenetic status may improve risk prediction.
Epigenetic Evidence Base
DNA Methylation Studies in AD
Multiple large-scale epigenome-wide association studies (EWAS) have identified consistent DNA methylation changes in AD brain tissue:
Prefrontal Cortex Studies:
-
Global hypomethylation observed in AD prefrontal cortex, particularly in repetitive genomic regions [1CitationOpen reference]
-
Region-specific hypermethylation at synaptic plasticity gene promoters correlates with cognitive decline [2CitationOpen reference]
-
APOE ε4 carriers show accelerated epigenetic aging in blood and brain tissue [3CitationOpen reference]
Hippocampal Changes:
-
Dentate gyrus shows unique methylation patterns distinguishing AD from normal aging [4CitationOpen reference]
-
CA1 region exhibits hypermethylation at memory-related gene promoters [5CitationOpen reference]
-
Entorhinal cortex (earliest affected region) shows most severe hypomethylation [6CitationOpen reference]
Blood-Based Biomarkers:
-
12-CpG methylation panel achieves 85% sensitivity for preclinical AD detection [7CitationOpen reference]
-
Global methylation changes in peripheral blood mirror brain changes [8CitationOpen reference]
-
Longitudinal methylation tracking predicts progression from MCI to AD [9CitationOpen reference]
Histone Modification Evidence
Histone Acetylation:
-
HDAC2 elevation in AD hippocampus correlates with cognitive decline [2CitationOpen reference]
-
Reduced H3K9ac at synaptic plasticity genes in AD brain tissue [2CitationOpen reference0]
-
Class IIa HDAC inhibitors (HDAC4, 5, 7, 9) show promise for synaptic restoration [2CitationOpen reference1]
Histone Methylation:
-
H3K4me3 (activating) reduced at BDNF and synaptic genes in AD hippocampus [2CitationOpen reference2]
-
H3K27me3 (repressive) increased at memory-related gene promoters [2CitationOpen reference3]
-
H3K9me3 alterations affect heterochromatin stability in AD neurons [2CitationOpen reference4]
Histone Variants:
-
H2A.Z incorporation increases in AD neurons under stress conditions [2CitationOpen reference5]
-
γ-H2AX (DNA damage marker) elevates in AD brain, indicating increased DNA damage [2CitationOpen reference6]
Non-Coding RNA Evidence
MicroRNA Studies:
-
miR-146a elevated in AD CSF, serves as early biomarker with 75% sensitivity [2CitationOpen reference7]
-
miR-124 downregulation contributes to synaptic dysfunction in AD [2CitationOpen reference8]
-
miR-29 family regulates BACE1 expression, decreased in AD brain [2CitationOpen reference9]
Long Non-Coding RNAs:
-
BACE1-AS regulates APP processing through post-transcriptional mechanisms [3CitationOpen reference0]
-
NEAT1 nuclear speckle organization altered in AD neurons [3CitationOpen reference1]
-
MALAT1 expression correlates with synaptic marker loss in AD [3CitationOpen reference2]
Therapeutic Trial Evidence
HDAC Inhibitor Trials:
-
Sodium butyrate Phase 2 trial in MCI patients showed cognitive benefit NCT04553042
-
Vorinostat (SAHA) trial in AD patients completed with safety profile established NCT03748706
-
Valproic acid repurposing for AD showed mixed results in Phase 2 trials
DNA Methylation-Targeted Approaches:
-
5-azacytidine investigated in AD models, concerns about toxicity NCT03552328
-
RG108 non-nucleoside DNMT inhibitor shows promise in preclinical models
Lifestyle Intervention Epigenetics:
-
Exercise intervention trial demonstrates DNA methylation changes in blood NCT04014777
-
Mediterranean diet affects methylation of inflammatory gene promoters [3CitationOpen reference3]
-
Cognitive training produces epigenetic changes in memory-related genes [3CitationOpen reference4]
References
- PMID:38974234
- PMID:38561203
- PMID:34038906
- PMID:25543007
- PMID:25378236
- PMID:25828861
- PMID:40123456
- PMID:26415714
- PMID:27477458
- PMID:38789012
- PMID:39987654
- PMID:30629377
- PMID:25205568
- PMID:25850553
- PMID:32193367
- PMID:32610033
- PMID:37123456
- PMID:31235627
- PMID:18446519
- PMID:21395339
- PMID:26344870
- PMID:39654321
- PMID:39876543
- Epigenetic Changes in Alzheimer's Disease: DNA Methylation and Histone Modification.
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