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Epigenetic modulators in triple-negative breast cancer: epigenetic modifications and future treatment perspectives.

Triple Negative Breast Cancer (TNBC), an aggressive type of Breast Cancer (BC) characterized by the loss of expression of Estrogen Receptor (ER), Progesterone Receptor (PR), and Human Epidermal growth factor Receptor 2 (HER2) protein. TNBC is quite heterogenous in nature with limited available therapeutic options due to the lack of defined molecular targets. Epigenetic abnormalities have been implicated in the onset, progression, immune escape, and resistance to treatment in TNBC. Important epigenetic modulations, include DNA methylation, histone lactylation, histone modifications, and chromatin remodeling. Global hypomethylation contributes to genomic instability, while promoter hypermethylation inhibits tumor suppressor genes, by dysregulating their expression, thereby promoting uncontrolled proliferation, EMT, metastasis, and immune evasion in TNBC. Targeting epigenetic modulators, have the potential to develop novel therapeutic interventions have been developed and being explored. These epidrugs have proven to be effective in preclinical and clinical trials when used in combination with chemotherapy, immunotherapy, or targeted therapy, reducing drug resistance and aberrant proliferation. Despite of the advancements, challenges like target specificity, precise biomarkers and treatment related toxicity are the major hurdles. The review comprehensively summarized the important epigenetic alterations as well as novel treatment strategies with potential clinical applications in TNBC.

Humans

A content analysis of health-related epigenetic information in YouTube videos.

PURPOSE: This study aimed to explore how health-related epigenetic concepts are depicted in YouTube videos, a widely accessed platform for informal science education. As epigenetics becomes increasingly relevant to medical therapeutics, it is essential to understand what information is being disseminated in the public sphere. METHODS: We conducted a content analysis of 296 YouTube videos about epigenetics that were under 10 minutes in length. We transcribed and analyzed the videos using an iteratively developed codebook and then categorized relevant codes as categories. RESULTS: We identified 7 categories: (1) defining epigenetics, (2) causes of epigenetic changes, (3) effects of epigenetic change, (4) epigenetic inheritability, (5) application of epigenetics, (6) personal control, and (7) epigenetic mysticism. Although the content about the molecular epigenetic mechanisms mostly aligned with the latest scientific findings, there were numerous unsubstantiated and exaggerated claims about effects of epigenetics on human health, especially disease outcomes. CONCLUSION: We identified several scientific concepts described on YouTube regarding epigenetics. Our findings also reveal what information about epigenetics is widely shared in the public sphere, helping to identify key misconceptions to address and guiding the development of strategies for accurate scientific communication.

Humans

Stochastic epigenetic mutation profiles as biomarkers of clinical activity in juvenile idiopathic arthritis: a multi-omic machine learning approach for gene prioritization.

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a rare autoimmune disease arising from a complex interplay between genetic and environmental factors. Epigenetic modifications such as DNA methylation (DNAm) have been described as potential mediators in gene-environment interactions, contributing to immune system dysregulation. Emerging evidence suggests that DNAm profiles also predict therapeutic responses in autoimmune diseases. This study aims to identify epigenetic biomarkers and epigenetic-driven gene expression changes associated with JIA clinical activity. METHODS: We reanalyzed a publicly available dataset of 44 JIA patients, with whole-genome DNAm and gene expression from CD4 + T cells measured at two points: at anti-TNF therapy withdrawal (T0) and eight months later (Tend). At Tend, 30 patients maintained inactive disease (ID) while 14 did not (NO ID). We investigated differences between ID and NO ID patients in the epigenetic mutation load and various epigenetic clocks through linear regression models, and prioritized genomic regions with significantly higher number of epimutations in NO ID patients through machine learning. RESULTS: We found a higher mutation load in NO ID than ID patients, both at T0 and at Tend, with the differences at Tend reaching statistical significance (p = 0.02). In contrast, we found no evidence of association between epigenetic clocks and JIA clinical activity. Using a multi-omic approach, we identified a List of candidate epigenetically-driven differentially expressed genes, 80 up-regulated and 77 down-regulated, in NO ID patients. Finally, comparing our candidate gene list with the Connectivity Map database, we identified new candidate potential therapeutic targets. Key findings were validated in independent datasets: DNAm profiles from CD4 + T cells (56 JIA patients, 57 controls) and transcriptomic data from PBMCs of JIA patients with active or inactive disease, confirming dysregulation of pathways such as TNF-α signaling via NF-kB and TGF-β signaling among others. CONCLUSIONS: We described a significant association of epigenetic mutations with JIA clinical activity, indicating that epigenetic changes might precede clinical symptoms and may serve as biomarkers for early disease monitoring. Further, our results shed light on biomolecular mechanisms of JIA, supporting the development of more effective treatments.

Humans

Accelerated Biological Aging Increases the Risk of Head and Neck Cancer: Insights From Genetic Instruments of Epigenetic Clocks.

Epigenetic clocks are robust biomarkers of biological aging and have been associated with cancer susceptibility. However, the relationship between genetically predicted epigenetic age acceleration and head and neck cancer risk remains unclear. Using a large case-control study of 2189 head and neck squamous cell carcinoma (HNSCC) cases and 2189 age- and sex-matched controls, we investigated the associations between polygenic scores (PGSs) for multiple epigenetic clocks and HNSCC risk, and evaluated their potential causal roles using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS)-identified single nucleotide polymorphisms (SNPs) associated with four epigenetic clocks (HannumAge, HorvathAge, GrimAge, and PhenoAge) were used to construct clock-specific PGSs. Logistic regression models were applied to assess associations between PGSs and HNSCC risk, while MR analyses, including inverse-variance weighted (IVW), weighted median, and MR-Egger methods, were used to infer potential causal relationships. Among the 48 epigenetic clock-associated SNPs, 12 showed nominal associations with HNSCC risk, and one variant (rs2275558 in PBX1) remained significant after Bonferroni correction (OR = 0.67, 95% CI: 0.60-0.76). PGSs for all four epigenetic clocks were higher in cases than in controls. In logistic regression analyses, each standard deviation increase in HannumAge PGS was associated with a 25% higher risk of HNSCC (OR = 1.25, 95% CI: 1.10-1.41), whereas HorvathAge, GrimAge, and PhenoAge PGSs showed weaker positive associations (ORs ranging from 1.06 to 1.10). Individuals in the highest PGS quartile for all four epigenetic clocks exhibiting 14%-25% higher risk than those in the lower three quartiles. MR analyses supported potential causal effects of genetically predicted HannumAge (IVW OR = 1.24 per SD increase, 95% CI: 1.09-1.42) and GrimAge (IVW OR = 1.23 per SD increase, 95% CI: 0.98-1.56) on HNSCC risk, with consistent estimates in weighted median analyses. Our results highlight biological aging as a potential etiologic mechanism for HNSCC and suggest that epigenetic clock-related genetic profiles may improve HNSCC risk stratification.

Humans

Epigenetic alterations induced by ionizing radiation: pathways to cancer and prognostic strategies.

PURPOSE: Ionizing radiation (IR) is widely used not only in cancer diagnosis and therapy, but its biological effects also extend beyond radiation-induced lethal lesions, e.g., specifically DNA double-strand breaks (DNA-DSBs). This review aims to summarize current evidence on IR-induced epigenetic alterations and to integrate mechanistic insights from radiation chemistry and radiation biology that link DNA damage to long-term epigenetic dysregulation. RESULTS: Experimental and clinical studies collectively show that IR induces persistent epigenetic reprogramming, including global and gene-specific DNA methylation changes, radiation-responsive histone modifications, chromatin remodeling, and dysregulation of non-coding RNAs. Aberrant RNA methylation, including modifications like N6-methyladenosine (m6A), 5-methylcytosine (m5C), N1-methyladenosine (m1A), N7-methylguanine (m7G), and N3-methylcytosine (m3C), is closely linked to tumorigenesis and progression. Due to its tumor-specific properties, RNA methylation markers, specifically m6A, m5C, m1A, m7G, and m3C, emerge as valuable markers in liquid biopsy. Radiation chemistry studies indicate that epigenetically modified bases, for example, m5C, are preferential targets of radiation-induced oxidative damage, thereby promoting mutational hotspots and genomic instability. By altering DNA repair, apoptosis, immune responses, and cellular differentiation, these epigenetic changes promote carcinogenesis, radioresistance, and tissue toxicity. CONCLUSION: IR-induced epigenetic alterations represent a critical interface between initial DNA damage and long-term biological outcomes. Improved understanding of radiation-associated epigenetic signatures may enhance risk assessment, inform prognostic stratification, and support the development of epigenetic-targeted strategies to optimize radiotherapy and reduce adverse effects.

Ionizing radiation

Environmental epigenetics: Exploring phenotypic plasticity and transgenerational adaptation in fish.

Epigenetics plays a vital role in the interaction between living organisms and their environment by regulating biological functions and phenotypic plasticity. Considering that most aquaculture activities take place in open or natural habitats that are vulnerable to environmental changes. Promising findings from recent research conducted on various aquaculture species have provided preliminary evidence suggesting a link between epigenetic mechanisms and economically valuable characteristics. Environmental stressors, including climate changes (thermal stress, hypoxia, and water salinity), anthropogenic impacts such as (pesticides, crude oil pollution, nutritional impacts, and heavy metal) and abiotic factors (infectious diseases), can directly trigger epigenetic modifications in fish. While experiments have confirmed that many epigenetic alterations caused by environmental factors have plastic responses, some can be permanently integrated into the genome through genetic integration and promoting rapid transgenerational adaptation in fish. These environmental factors might cause irregular DNA methylation patterns in genes related to many biological events leading to organs dysfunction by inducing alterations in genes related to oxidative stress or apoptosis. Moreover, these environmental issues alter DNA/histone methylation leading to decreased reproductive competence. This review emphasizes the importance of understanding the effects of environmentally relevant issues on the epigenetic regulation of phenotypic variations in fish. The goal is to expand our knowledge of how epigenetics can either facilitate or hinder species' adaptation to these adverse conditions. Furthermore, this review outlines the areas that warrant further investigation in understanding epigenetic reactions to various environmental issues.

Animals

Epigenetic orchestration of cancer-immune dynamics: mechanisms, technologies, and clinical advancements.

BACKGROUND: Epigenetic dysregulation plays a pivotal role in cancer immune evasion by orchestrating tumour antigen silencing, immune cell dysfunction, and the formation of an immunosuppressive microenvironment. By disrupting successive phases of the cancer-immunity cycle-from antigen presentation to T cell exhaustion-these aberrations facilitate immune escape and tumour progression, highlighting the need for targeted epigenetic intervention. AIM OF REVIEW: This review systematically dissects how epigenetic alterations impair anti-tumour immunity at each stage of the CI cycle. It not only integrates fragmented mechanistic evidence but also emphasizes underexplored crosstalk between specific epigenetic regulators and immune cell types. It further highlights emerging technologies-such as single-cell epigenomics, spatial multi-omics, and CRISPR-based screens-that are driving discovery of novel therapeutic targets and refining patient stratification. Key scientific concepts of review. We discuss how epigenetic interventions, alone or in combination with immunotherapies, can reinvigorate immune responses and overcome resistance to current treatments. A particular focus is given to how integrative high-resolution platforms are mapping immunoepigenetic landscapes, enabling mechanism-informed, precision immunotherapy strategies. By bridging epigenetic regulation with translational immuno-oncology, this review outlines a future where epigenetic reprogramming becomes central to overcoming immune evasion in cancer.

Humans

Constructing epigenetic regulatory landscapes of plant lncRNAs-an exploration utilizing the novel specialized platform PERlncDB.

Long non-coding RNAs (lncRNAs), once overlooked as transcriptional byproducts, are now recognized for their crucial roles in plant growth, development, and stress responses, with increasing focus on their epigenetic regulation. However, studies investigating epigenomic signals to explore the functions of lncRNAs in plants remain relatively limited. This study collected a comprehensive dataset of over 160 000 high-quality lncRNAs from 19 representative plant species and integrated 6715 ChIP-seq, BS-seq, and RNA-seq datasets to analyze epigenomic patterns at lncRNA loci. Results showed elevated DNA methylation in lncRNA regions. The highest levels occurred in transposable element-associated lncRNAs. Additionally, activating histone modifications at lncRNA loci showed tissue specificity, with epigenetic preferences differed from those at protein-coding gene (PCG) loci. Differential site analysis in epigenetic mutants further highlighted the selective regulation of lncRNA loci by specific epigenetic factors. To facilitate research, we developed PERlncDB, a platform that provides species-specific lncRNA browsing, epigenetic annotation, cross-species conservation analysis, and visualization of epigenomic landscapes. Case studies on MARS and LINC-AP2 emphasized the platform's utility. Conserved epigenetic mechanisms regulating lncRNAs across species, exemplified by a syntenic conserved MET1-regulated lncRNA pair in Arabidopsis and tomato, suggested the stability of regulatory mechanisms underlying lncRNA functions. This work provides critical insights and resources for understanding plant lncRNA epigenetic regulation.

RNA, Long Noncoding

The effects of tildrakizumab in the epigenetic aging deviation of psoriasis: A 52-week open-label study.

BACKGROUND: While biologic therapies targeting interleukin-23 control cutaneous inflammation in psoriasis, their impact on epigenetic aging has not been previously demonstrated. OBJECTIVES: To evaluate the effects of tildrakizumab treatment in the epigenetic aging deviation of moderate-to severe psoriasis. METHODS: In an open-label 52-week clinical trial, 20 adults with psoriasis were treated with tildrakizumab-asmn 100 mg injections until week 28. Ten age-matched controls without psoriasis were enrolled. Genome-wide DNA methylation was profiled in peripheral blood leukocyte DNA (MethylationEPICv2.0, Illumina) to calculate epigenetic aging clocks predictive of all-cause-mortality, phenotypic age, chronological age, pace of aging, and telomere length. Epigenetic age deviation was calculated as the residuals against chronological age. RESULTS: Psoriasis patients had increased epigenetic age deviation in clocks predictive of mortality: PCGrimAge (P = .008), cytosine-phosphate-guanine (CpG) PTPCGrimAge3 (P = .019), CpGPTGrimAge3 (P = .019), GrimAge2 (P = .049). PCGrimAge was reversed by 0.3 years (week 28, P = .005) and 0.5 years (week 52, P = .04) after the use of tildrakizumab-asmn. The pace of aging was increased in psoriasis patients: DunedinPACE (P = .049). LIMITATIONS: Pilot study (small sample size). CONCLUSIONS: Psoriasis patients presented accelerated epigenetic aging in mortality-predictive clocks. Treatment with tildrakizumab-asmn (interleukin-23 inhibition) showed partial reversal of those clocks in 28 weeks. (Funded by Sun Pharmaceutical Industries, Inc; ClinicalTrials.gov number, NCT05110313).

DNA methylation clocks

Understanding and making sense of epigenetic age misalignment across different aging clocks.

The output of an epigenetic aging clock can vary depending on the training method utilized, cell type composition, the nature of the training dataset, the technology used to generate the methylomic data, acute stressors, and other factors. On an individual level, epigenetic age can fluctuate across different clocks purely due to differences in model training. Among aging clock researchers, it is well-known that the epigenetic age of a single sample can vary across different models. Based on our observations and conversations with longevity scientists and stakeholders, however, this fact is often unappreciated among non-aging clock experts. To help bring more awareness to this important topic, we highlight key literature and, as an illustrative example, use eight blood-trained clocks to show that epigenetic age is frequently misaligned in a publicly available whole blood dataset. Our simple analysis revealed that the average sample difference between the youngest and oldest predicted ages across these clocks was 17 years. The smallest and largest individual-level differences observed were 4 and 45 years, respectively. Clock misalignment has implications for choosing which clock to utilize, interpreting the impact of an intervention on epigenetic age, personalized tracking, and relating epigenetic age to the abstract concept of biological age.

Humans

Induced proximity labeling and editing for epigenetic research.

Epigenetic regulation plays a pivotal role in various biological and disease processes. Two key lines of investigation have been pursued that aim to unravel endogenous epigenetic events at particular genes (probing) and artificially manipulate the epigenetic landscape (editing). The concept of induced proximity has inspired the development of powerful tools for epigenetic research. Induced proximity strategies involve bringing molecular effectors into spatial proximity with specific genomic regions to achieve the probing or manipulation of local epigenetic environments with increased proximity. In this review, we detail the development of induced proximity methods and applications in shedding light on the intricacies of epigenetic regulation.

Epigenesis, Genetic

Epigenetic and Transcriptional Regulatory Networks Underlying Psoriasis Pathogenesis.

Psoriasis is a chronic, immune-mediated dermatologic disorder characterized by the hyperproliferation of keratinocytes and dysregulated immune signaling. Although genome-wide association studies have identified susceptibility loci, the multifactorial nature of the disease underlines the importance of nongenetic regulatory mechanisms. Among these epigenetic modifications are those that critically link genetic predisposition with environmental stimuli. This review offers an in-depth overview of the current insights into the role of epigenetic regulation in the pathophysiology of psoriasis. Key mechanisms, including aberrant DNA methylation, histone post-translational modifications (eg, H3K27ac, H3K4me3), and dysregulated noncoding RNAs, are discussed in the context of inflammatory signaling and immune cell function. This review also explores how environmental factors such as UV radiation and air pollution induce the epigenetic reprogramming that perpetuates the proinflammatory state. Furthermore, it highlights the translational potential of targeting epigenetic regulators and epigenome-editing technologies, including clustered regularly interspaced short palindromic repeats (CRISPR) fusion systems, as precision therapeutic strategies. In parallel, advances in single-cell epigenomics, spatial transcriptomics, and the profiling of circulating biomarkers offer novel diagnostic tools. Despite advances, challenges persist, including the limited predictive value of preclinical models and variable epigenetic profiles. Positioning epigenetics as the bridge between genetic risk, environmental triggers, and therapeutic advances, this review presents a framework for precision medicine in psoriasis.

Humans

Epigenetic mechanisms in sexual differentiation of the brain and behaviour.

Circumstantial evidence alone argues that the establishment and maintenance of sex differences in the brain depend on epigenetic modifications of chromatin structure. More direct evidence has recently been obtained from two types of studies: those manipulating a particular epigenetic mechanism, and those examining the genome-wide distribution of specific epigenetic marks. The manipulation of histone acetylation or DNA methylation disrupts the development of several neural sex differences in rodents. Taken together, however, the evidence suggests there is unlikely to be a simple formula for masculine or feminine development of the brain and behaviour; instead, underlying epigenetic mechanisms may vary by brain region or even by dependent variable within a region. Whole-genome studies related to sex differences in the brain have only very recently been reported, but suggest that males and females may use different combinations of epigenetic modifications to control gene expression, even in cases where gene expression does not differ between the sexes. Finally, recent findings are discussed that are likely to direct future studies on the role of epigenetic mechanisms in sexual differentiation of the brain and behaviour.

Animals

Multiple Epigenetic Mechanisms Functionally Cooperate to Silence Expression of Somatostatin Receptor Type 2 in Pancreatic Neuroendocrine Tumors.

Pancreatic neuroendocrine tumors (PNETs) are a rare and understudied set of cancers, with increasing incidence. Neuroendocrine tumors are unique in the fact that they express high levels of the somatostatin receptor type 2 (SSTR2), which represents a target for both tumor imaging and therapeutics. PNET grade inversely correlates with SSTR2 tumor staining and higher tumor grade is associated with poor patient prognosis. With no known mutations, SSTR2 expression is believed to be lost through aberrant epigenetic mechanisms. Enhanced knowledge of the epigenetic biology and players controlling SSTR2 expression may allow for identification of novel PNET imaging and treatment modalities. Through in-depth studies, we found that the specific de novo DNA methyltransferase (DNMT), DNMT3B, is responsible for SSTR2 gene CpG methylation and silencing. Using DNMT3B as a starting point, along with the concept of functional crosstalk between various epigenetic mechanisms, we further discovered that Polycomb Repressor Complexes 1 and 2 (PRC1 and PRC2) play important roles in silencing SSTR2. Moreover, we found several histone lysine demethylases, enzymes that remove activating histone H3K4 methylation marks, to be critical for silencing expression of SSTR2. We additionally identified several chromatin remodeling enzymes/complexes as cellular factors that negatively regulate SSTR2 expression. Finally, using the HiBiT luminescent reporter system, we exploited functional chemo-genomic screens to further expand our knowledge of SSTR2 epigenetic control. These screens both reinforced several of our initial findings and helped to identify additional silencing mechanism potentially regulating SSTR2 expression. A commonality in our findings point to the presence, or necessity, of Class I HDACs in nearly all the epigenetic silencing mechanisms characterized. Overall, our work demonstrates that SSTR2 gene expression is likely silenced through various dynamic and interconnected epigenetic events, resulting in a compacted, transcriptionally repressed chromatin environment. Our study offers novel potential therapeutic targets and combinations to best increase expression of SSTR2, which are currently being tested in pre-clinical studies from our group, with the goal of future clinical trials aimed at increasing SSTR2 expression in high-grade, SSTR2-low NET patients.

Journal Article

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.

Epigenetic mechanisms play a crucial role in driving transcript expression and shaping the phenotypic plasticity of glioblastoma stem cells (GSCs), contributing to tumor heterogeneity and therapeutic resistance. These mechanisms dynamically regulate the expression of key oncogenic and stemness-associated genes, enabling GSCs to adapt to environmental cues and evade targeted therapies. Importantly, epigenetic reprogramming allows GSCs to transition between cellular states, including therapy-resistant mesenchymal-like phenotypes, underscoring the need for epigenetic-targeting strategies to disrupt these adaptive processes. Understanding these epigenetic drivers of gene expression provides a foundation for novel therapeutic interventions aimed at eradicating GSCs and improving glioblastoma outcomes. Using machine learning (ML), we employ cross-patient prediction of transcript expression in GSCs by combining epigenetic features from various sources, including ATAC-seq, CTCF ChIP-seq, RNAPII ChIP-seq, H3K27Ac ChIP-seq, and RNA-seq. We investigate different ML and deep learning (DL) models for this task and ultimately build our final pipeline using XGBoost. The model trained on one patient generalizes to other 11 patients with high performance. Notably, H3K27Ac alone from a single patient is sufficient to predict gene expression in all 11 patients. Furthermore, the distribution of H3K27Ac peaks across the genomes of all patients is remarkably similar. These findings suggest that GSCs share a common distributional pattern of enhancer activity characterized by H3K27Ac, which can be utilized to predict gene expression in GSCs across patients. In summary, while GSCs are known for their transcriptomic and phenotypic heterogeneity, we propose that they share a common epigenetic pattern of enhancer activation that defines their underlying transcriptomic expression pattern. This pattern can predict gene expression across patient samples, providing valuable insights into the biology of GSCs.

Glioblastoma

Novel epigenetic loci identified from an epigenome-wide association study underlying brain structural changes in bipolar disorder.

BACKGROUND: DNA methylation influences gene-environment interactions and brain development in bipolar disorder (BD). We aimed to identify BD-associated epigenetic loci and examine their associations with brain structural variation. METHODS: We conducted an epigenome-wide association study (BD group, n = 90; healthy controls group, n = 161) to identify BD-associated DNA methylation loci, and we additionally performed copy number alteration and functional enrichment analyses. The correlations between epigenetic loci and cortical thickness (CT) were assessed using Pearson's partial correlation analysis, and the co-methylation effect of the epigenetic loci identified in the neuroimaging-epigenetic analysis was investigated. FINDINGS: A total of 156 differentially methylated positions (DMPs) and 7 differentially methylated regions were identified, and the genes associated with them were observed to be enriched in biological processes related to muscle hypertrophy and neuronal activity. Significant correlations between the methylation levels of 13 DMPs associated with three genes (miR886, PLEC1, and ICAM5) and the CT of the right postcentral gyrus and inferior frontal gyrus were identified. Specifically, 10 DMPs associated with the CpG island in the upstream region of the miR886 gene showed negative correlations with the right postcentral gyrus CT, implicating miR886-associated CpG-island methylation in regional cortical thinning. CONCLUSION: Epigenetic changes might play an important role in brain structural changes in BD. These multimodal findings nominate miR886-related methylation as a candidate molecular correlate of cortical thinning and warrant replication and mechanistic follow-up in larger, state-diverse cohorts.

Humans

Epigenetics and In Silico Transcriptome Analysis of Pediatric Acute Myeloid Leukemia.

Pediatric acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy that accounts for about 15%-20% of childhood leukemias. Despite therapeutic advances, relapses remain common, and survival for high-risk patients is below 60%. Unlike adult AML, pediatric AML displays distinct genetic mutations, including FLT3-ITD, NPM1, KMT2A rearrangements, and core-binding factors (CBF) fusions, as well as extensive epigenetic dysregulation. Aberrant DNA methylation, histone modifications, and altered non-coding RNA expressions disrupt hematopoietic differentiation and activate oncogenic transcriptional networks. Recent advances in silico transcriptomic analysis have transformed the study of pediatric AML by integrating gene expression and epigenetic data to identify molecular drivers and regulatory networks. Computational RNA-seq pipelines and pathway analyses have highlighted key epigenetic regulators, including DNMT3A, TET2, and HDACs, as potential therapeutic targets. Multi-omics approaches combining transcriptomic, methylomic, and chromatin accessibility data are increasingly used to define biomarkers for diagnosis, prognosis, and therapeutic response. This review provides a comprehensive overview of the molecular and epigenetic landscape of pediatric AML, emphasizing the power of in silico transcriptome analysis to uncover disease mechanisms, refine patient stratification, and guide the development of precision-based epigenetic therapies aimed at improving long-term outcomes in children with AML.

Humans

DNA Methylation and Proteomic Profiling of Postmortem Brain Tissue Reveals Epigenetic Dysregulation and Neuroinflammatory in Fragile X-associated Tremor/Ataxia Syndrome (FXTAS).

BACKGROUND: Fragile X-associated Tremor/Ataxia Syndrome (FXTAS) is a late-onset neurodegenerative disorder caused by FMR1 premutation CGG repeat expansions (55-200 repeats). The epigenetic landscape of the FXTAS brain remains uncharacterized. We performed genome-wide DNA methylation profiling of postmortem prefrontal cortex tissue to identify differentially methylated positions (DMPs) and candidate genes, and sought protein-level support for a neuroinflammatory signal. METHODS: DNA methylation was profiled in postmortem prefrontal cortex (Brodmann area 9) from 27 male FXTAS cases and 29 male controls using the Illumina MethylationEPIC array (EPICv1 and EPICv2 platforms), merging 721,802 common probes. Surrogate variable analysis (SVA) controlled for confounders. DMPs were defined by |&#x394;&#x3b2;| > 0.10 and FDR < 0.05; exploratory Reactome 2024 pathway analysis was performed on the DMP-associated gene list. Targeted proteomic profiling was performed in the same brain region using the Olink (proximity extension assay) Inflammation panel in 9 FXTAS cases and 12 controls, with SVA-adjusted differential abundance analysis, and concordance assessment against a prior mass spectrometry dataset. RESULTS: We identified 108 significant cg-type DMPs mapping to 80 genes (50 hypermethylated, 58 hypomethylated in FXTAS). The strongest signal was CYP2E1 (7 concordant hypomethylated DMPs, mean &#x394;&#x3b2; = -0.143), an oxidative stress gene also implicated in Parkinson's disease. FTCD, a one-carbon cycle enzyme, carried 5 hypermethylated DMPs (mean &#x394;&#x3b2; = +0.210). A cluster of DMP-associated genes with established roles in innate immune and NF-&#x3ba;B signaling, TRAF3 (the single most significant DMP among the inflammation genes, hypermethylated), BATF, RCOR1, and MSI2; they pointed toward neuroinflammatory dysregulation. Additional genes included LINGO1 (myelination inhibitor), SYT3 (synaptic vesicle), and SLC39A4 (zinc transporter). Exploratory Reactome enrichment using the DMP-associated gene set nominated themes including neuroinflammation resolution, axonal growth inhibition, zinc homeostasis, and CYP2E1 metabolism at nominal significance (p<0.05); however, the gene-to-pathway mapping rate was low and no pathway survived correction for multiple testing. Olink proteomic analysis independently identified 60 significantly altered inflammation proteins (59 downregulated), including CXCL8, CXCL10, IL6, IL15, IL18, TLR3, IRAK1/4, and complement C1QA, which were directionally concordant with prior mass spectrometry data. CONCLUSIONS: This integrated study reveals a genome-wide epigenetic signature in the FXTAS prefrontal cortex implicating oxidative stress, myelination failure, zinc dysregulation, one-carbon cycle disruption, and most notably a coordinated set of epigenetically altered genes governing innate immune and NF-&#x3ba;B signaling. Convergence of TRAF3 hypermethylation with independent downregulation of TLR3 and NF-&#x3ba;B-pathway proteins at the protein level supports a coherent, cross-platform model of dysregulated neuroinflammatory signaling in FXTAS, identified here through individual gene- and protein-level convergence rather than formal pathway enrichment. FTCD hypermethylation proposes a self-reinforcing epigenetic loop via SAM depletion. These multi-omic findings establish FXTAS as a disorder of pervasive epigenetic reprogramming and nominate candidate genes for future mechanistic and therapeutic investigation.

CYP2E1