Search PubMedSearch

SEARCH · Search PubMed

Results for “epigenetic”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

Proteome-level evidence that tebuconazole, both alone and in interaction with thiacloprid, affects epigenetic events in bumblebee heads.

Tebuconazole, a widely used ergosterol biosynthesis-inhibiting fungicide, can affect nontargets, especially when combined with insecticides. We employed label-free quantitative proteomics to investigate the effects of long-term exposure to sublethal concentrations (100 μg/L) of tebuconazole, either by itself or alongside the neonicotinoid thiacloprid (100 μg/L), on the heads of Bombus terrestris workers. A Bayesian factor power analysis revealed that the experiment produced conclusive proteomic results. Tebuconazole treatment revealed eleven differentially abundant proteins, which increased elevenfold with thiacloprid. The proteins that changed in the same direction in both treatments suggest the occurrence of epigenetic events because they are involved in histone trimethylation (H3K4me3), pre-mRNA processing, and folate (vitamin B9) metabolism. Following co-exposure, the abundance of histone H2A.V and its associated proteins was affected. Two important detoxification-related proteins, CYP6BE1 and CYP6AQ1 (honey bee homologs), were identified, as well as proteins that suggest hormonal and neurotoxic effects. Overall, this study suggests that tebuconazole affects key epigenetic processes in bumblebee heads at the proteome level, though this was not confirmed at the biological level or through orthogonal methods. The tested chemicals were previously found to affect trimethylations, but not H3K4me3. We suggest analyzing the different trimethylations, their interplay, and associated hallmarks, such as folate levels. SIGNIFICANCE: The effects of pesticides and their combinations on organisms can be unexpected until they are examined using modern, complex methods. High-throughput proteomics can provide data on important biochemical processes affected by pesticides, offering a different perspective to that at the expression level. Despite their low acute toxicity, a group of fungicides that inhibit (ergo)sterol biosynthesis (EBI or SBI) are considered dangerous to pollinators, including bumblebees. This is due to the increasing toxicity of insecticides through the inhibition of cytochrome P450 detoxification enzymes. We found that tebuconazole had a similar effect on epigenetic events when used alone or in combination with the insecticide thiacloprid. Key proteins suggest that H3K4 histone trimethylation (H3K4me3) was impacted. To our knowledge, this expands the existing evidence suggesting that tebuconazole/triazole fungicides affect histone trimethylation H3K27me3. Since literature shows that thiacloprid affects H3K9me3, it is possible that thiacloprid and tebuconazole interact in these epigenetic events that affect each other. Overall, our results suggest that tebuconazole affects proteins involved in histone trimethylation, pre-mRNA processing, and folate metabolism. These are all hallmarks of epigenetic processes and were further extended by the co-exposure of tebuconazole and thiacloprid to more differently abundant proteins. Additionally, the results provide data on cytochrome P450s of the CYP6 family, which act as detoxifying proteins, as well as proteins that indicate hormonal and neurotoxic effects in bumblebee heads. Finally, the results of the Bayesian power analysis confirmed the meaningfulness of the proteomic data analyzed in this study. If the new findings obtained at the proteome level are verified by different methods, the full extent of the side effects of tebuconazole can be revealed.

Animals

Integrated epigenetic and genetic programming of primary human T cells.

Targeted epigenetic engineering of gene expression in cell therapies would allow programming of desirable phenotypes without many of the challenges and safety risks associated with double-strand break-based genetic editing approaches. Here, we develop an all-RNA platform for efficient, durable and multiplexed epigenetic programming in primary human T cells, stably turning endogenous genes off or on using CRISPRoff and CRISPRon epigenetic editors. We achieve epigenetic programming of diverse targeted genomic elements without the need for sustained expression of CRISPR systems. CRISPRoff-mediated gene silencing is maintained through numerous cell divisions, T cell stimulations and in vivo adoptive transfer, avoiding cytotoxicity or chromosomal abnormalities inherent to multiplexed Cas9-mediated genome editing. Lastly, we successfully combined genetic and epigenetic engineering using orthogonal CRISPR Cas12a-dCas9 systems for targeted chimeric antigen receptor (CAR) knock-in and CRISPRoff silencing of therapeutically relevant genes to improve preclinical CAR-T cell-mediated in vivo tumor control and survival.

Humans

Epigenetic aging and autosomal methylation remodeling in Anderson-Fabry disease.

Anderson-Fabry disease (AFD) is a rare X-linked lysosomal storage disorder characterized by marked clinical heterogeneity and incompletely understood genotype-phenotype correlations. While X-chromosome inactivation has been extensively investigated, the contribution of autosomal epigenetic mechanisms to phenotypic variability remains poorly defined. Here, we performed an exploratory genome-wide DNA methylation analysis in 32 AFD patients (22 females and 10 males; mean age 51.7 years) recruited within a multicenter regional research project in Calabria (Italy). DNA methylation profiling was conducted using the Infinium MethylationEPIC v2.0 array. The analysis integrated two complementary approaches: differential methylation analysis and evaluation of biological aging through multiple epigenetic clocks, including Horvath, Hannum, PhenoAge, Skin & Blood, GrimAge, and DunedinPACE. Exploratory methylome-wide analysis identified a limited set of CpG loci showing nominal evidence of methylation differences between carriers of pathogenic and non-pathogenic variants; however, none remained statistically significant after correction for multiple testing. Annotation of the top-ranking nominal CpG associations highlighted genes involved in biological processes including vascular regulation, intracellular trafficking, cytoskeletal organization, immune signaling, and lipid metabolism. No significant differences between groups were observed for the conventional epigenetic age-acceleration measures examined. In contrast, carriers of pathogenic variants showed significantly higher DunedinPACE values (p = 0.0328), indicating a faster estimated pace of biological aging. This finding suggests that DunedinPACE may capture aspects of the cumulative systemic burden associated with pathogenic GLA variants, although confirmation in larger independent cohorts is required. Overall, this pilot epigenomic study provides preliminary evidence that autosomal epigenetic remodeling and biological aging acceleration may contribute to phenotypic heterogeneity in AFD.

Anderson-Fabry disease

Epigenetic aging of colorectal mucosa in cancer development.

BACKGROUND: The past decade has seen the development of epigenetic models of aging that accurately estimate chronological age and predict disease incidence and mortality. These estimates are modulated by lifestyle and environmental factors linked to carcinogenesis, but to date this has primarily been studied in blood. METHODS: We examined epigenetic aging in normal colonic tissue (n = 96), adjacent mucosa (n = 245) and tumors (n = 208), using models trained on age (Horvath, Hannum, Zhang), mortality (PhenoAge, GrimAge), aging rate (DunedinPACE), cellular mitotic history (EpiTOC, epiTOC2, miAGe), and telomere length (DNAmTL). RESULTS: The Horvath model was the most accurate estimator of chronological age in normal colonic mucosa, with high correlation (r > 0.70) between the Horvath, Hannum, Zhang, PhenoAge and GrimAge models, and between mitotic clocks (r > 0.94). All models showed similar performance in normal tissue and adjacent mucosa, but substantially more variation in estimates in tumors. Significant differences in age acceleration were present between normal and adjacent mucosa by six models (Hannum, Zhang, PhenoAge, EpiTOC, epiTOC2 and miAge), while tumors showed highly significant differences by all models. Age acceleration differed by region of the colon, with varying patterns by model type. Physical activity (PhenoAge), smoking history (GrimAge), and alcohol consumption (Horvath, mitotic clocks) were associated with epigenetic aging in adjacent mucosa, while smoking history, smoking intensity, and alcohol consumption were associated with DNAmTL in tumors. CONCLUSIONS: Our study reveals an impact of tissue type, region, and lifestyle factors on epigenetic aging, but also highlights significant heterogeneity between models and the need for careful consideration within study design.

DNA methylation

AI-Based 3D Heterogeneous Network Model for Functional Prediction of Epigenetics.

Human biology and diseases are the result of constantly evolving processes within an intricately complex molecular network of interactions, such as epigenetic regulation. Epigenetics refers to heritable changes in gene expression that occur without alterations to the underlying DNA sequence. These changes, driven by mechanisms such as DNA methylation, histone modifications, and noncoding RNAs, play critical roles in regulating chromatin structure and gene activity. Epigenetic regulation offers valuable insights into biological systems, and when integrated with sophisticated analyses, it enables us to gain insights into gene regulation and cellular behavior. Here, we describe an artificial intelligence (AI)-based model that is capable of generating 3-dimensional (3D) heterogeneous network by integrating multimodal data for the functional prediction of epigenetic mechanisms, emphasizing its applications in medicine, developmental biology, and personalized therapeutics. Heterogeneous networks in biology are powerful tools for understanding the complex interactions and interdependencies within biological systems. Key advancements in AI and multiomics data integration have propelled this field, offering new insights into disease mechanisms, biomarker discovery, and therapeutic interventions.

Epigenesis, Genetic

Culture, Psychiatry and Epigenetics.

Regarding the methodology of ethnopsychiatric research, for example, on the Vietnamese Mo Mường's burial rituals or the health-promoting and healing effects of the Chinese Tujia dances, three different approaches can be distinguished: phenomenological-descriptive methods, hermeneutic-interpretive techniques and studies on underlying mechanisms such as hypnotherapeutic or neuroendocrine dynamics. Since epigenetics has shown that cultural and artistic experiences can influence gene expression and genetic functioning, even across generations, the article argues for greater consideration of epigenetics in medical anthropology and ethnopsychiatry. Epigenetic dynamics can significantly influence health promoting and healing effects of rituals in ethnic traditions and determine an individual's responsiveness to such practices. In this context, the interplay between genetics and epigenetics, various concepts of the collective unconscious, transcultural psychiatry, culturally sensitive arts therapies, and issues of migration and transcultural identities are discussed.

Humans

Genetic and Epigenetic Approaches to Opioid Use Disorder.

BACKGROUND: Opioid use disorder (OUD) is a major global-scale social issue affecting public health. The high potential for addiction and dependence makes opioid use a significant concern, contributing to substance-related disorders. Both genetic and environmental factors contribute to the predisposition to OUD, with the opioidergic, dopaminergic, and GABAergic systems playing primary roles in itsonset. METHODS: This narrative review documents the association between genes and their variants related to these three systems, along with current evidence on epigenetic interventions in OUD. Relevant studies investigating candidate-gene associations and molecular mechanisms were synthesized to highlight genetic variants and epigenetic processes linked to OUD. RESULTS: Genetic associations play a prominent role in OUD, with several single-nucleotide variants identified in affected populations. Key genes implicated include OPRM1, OPRD1, OPRK1, PDYN, OPRL1, and POMC from the opioidergic system; DRD1, DRD2, DRD3, DRD4, ANKK1, and COMT from the dopaminergic system; and GABRA2, GABRB3, GABRG2, GAD1, and GAD2 from the GABAergic system. Evidence also indicates that chronic opioid use is associated with epigenetic changes through posttranslational histone modifications and DNA methylation. However, limitations in existing studies include small sample sizes, limited replication, and potential stratification biases. CONCLUSIONS: Although many candidate-gene associations have been proposed for OUD, robust evidence remains limited. Large, ancestrally diverse genome-wide association studies (GWAS) and systematic replication studies are urgently needed. A deeper understanding of the genetic, epigenetic, and neurobiological bases of addiction will be essential for the development of precisely targeted medications to improve prevention and treatment outcomes for OUD.

Humans

Beyond mutations: epigenetic and fragmentomic landscapes of cfDNA in lung cancer.

INTRODUCTION: Lung cancer is the most frequently diagnosed cancer worldwide and the leading cause of cancer-related mortality. Cell-free DNA (cfDNA) has emerged as a powerful biomarker in cancer detection. Early diagnostics efforts often leverage cancer-associated mutations present in cfDNA, but beyond such mutation-based assays, recent advances have shed light on other non-mutational features. The analysis of cfDNA epigenetic profiles and fragmentation patterns, known as 'fragmentomics,' has revealed a wealth of data to explore in noninvasive lung cancer diagnosis. AREAS COVERED: This review will explore this new narrative, summarizing the current understanding and use of cfDNA epigenetic modifications and fragmentomic patterns, while integrating findings to illustrate their vast potential in early-stage detection and therapeutics. By considering a range of epigenetic and fragmentomic features, cfDNA methylation (5mC, 5hmC), histone modifications, size profiles, and end signatures, this review highlights how the multidimensional integration of such signals shows promise in refining early-stage lung cancer and guiding therapeutic decisions. EXPERT OPINION: cfDNA epigenetic and fragmentomic analyses represent a transformative frontier in lung cancer diagnostics and monitoring. While these approaches demonstrate significant potential, most studies are limited by modest cohort sizes and reports of survival benefits, underscoring the need for large-scale validation and deeper mechanistic understanding.

Humans

Epigenetic Gene Networks Governing Immune State Transitions Across the Lifespan.

Immune function across development, tissue repair, aging, and disease depends not only on signaling pathways but also on epigenetic architectures that determine whether coordinated transcriptional programs can be accessed and resolved. Increasing evidence indicates that epigenetic gene networks regulate the accessibility and reversibility of semi-stable immune states, shaping plastic, homeostatic, reparative, and degenerative configurations. We propose the concept of epigenetic transition windows, defined as temporally and contextually restricted intervals during which epigenetic constraints are relaxed, permitting coordinated and reversible transitions between immune states. During development, these windows are broad and support immune tolerance and adaptive plasticity. In adulthood they become spatially and temporally restricted, preserving stability while enabling conditional adaptation. With aging, they progressively narrow, contributing to chronic inflammation, impaired repair, and increased vulnerability to neurodegeneration. Conversely, pathological persistence of regulatory permissiveness may underlie immune evasion and sustained plasticity in cancer. We outline operational genomic readouts for quantifying transition windows, including chromatin accessibility variance, enhancer switching dynamics, reversibility metrics, and cross-cell coordination indices, and derive experimentally testable predictions that distinguish this model from pathway-centric or damage-centric explanations. By reframing immune dysfunction as a failure of regulated state transition rather than excessive signaling alone, this framework integrates inflammaging, trained immunity, immune resolution failure, and tumor immune escape within a unified regulatory architecture and provides a systems-level perspective on immune adaptability across the lifespan.

Epigenesis, Genetic

Genetic and epigenetic underpinnings of biological aging: a multi-omics study integrating Mendelian randomization, spatial transcriptomics, and drug target discovery.

Inflammaging represents a hallmark of biological aging, yet the causal inflammatory mediators driving multi-dimensional epigenetic aging and their effector genes remain poorly characterized at the genetic level. We developed a four-tier analytical framework integrating causal screening, multi-omics effector gene mapping, spatial transcriptomics, and drug target evaluation. Two-sample Mendelian randomization (MR) of 91 circulating inflammatory proteins against six aging phenotypes identified IL-12B, IFNG, and IL-2 as the most robust pro-aging mediators with consistent effects across independent outcomes. Using multi-omics summary-based MR (SMR) as the core analytical engine, we integrated four-layer whole-blood molecular QTL resources eQTL (eQTLGen, n = 31,684), sQTL (GTEx, n = 755), pQTL (INTERVAL + SCALLOP, n = 34,232), and mQTL (McRae et al., n = 1,980) - with GWAS summary statistics for four epigenetic age acceleration measures. At a stringent threshold (P_SMR < 1&#xd7;10&#x207b;&#xb9;&#xb2;), seven high-confidence effector genes were identified: NHLRC1, TPMT, SELP, and RIPPLY3 for IEAA; ZNF373A and PLDN for HannumAA; and EDARADD for PhenoAA. The chromosome 6p21 NHLRC1-TPMT locus, overwhelmingly driven by methylation QTL signals (-log&#x2081;&#x2080;P = 26.06), emerged as the dominant genetic node of epigenetic aging. Spatial projection via gsMap onto a mouse E16.5 embryo atlas (121,767 cells) revealed preferential enrichment in smooth muscle and lung, with EDARADD showing marked specificity in mucosal epithelium. Cross-database drug target mining classified TPMT and SELP as repurposable known targets and NHLRC1 as a high-priority novel druggable candidate. This study provides multi-omics convergent causal evidence for inflammation-driven epigenetic aging and delivers genetically anchored targets for precision anti-aging intervention.

Aging

Oxidative stress-driven epigenetic reprogramming of immune cells in COPD: from epitranscriptomic and metabolic crosstalk to treatable traits.

Chronic obstructive pulmonary disease (COPD) is a heterogeneous syndrome characterized by persistent oxidative stress and maladaptive immune responses, rather than a single disease entity. Oxidative stress not only damages lung tissue but also reprograms immune cells through both classical epigenetic mechanisms (DNA methylation, histone modifications) and epitranscriptomic regulation (m6A RNA methylation), shaping disease endotypes and treatment resistance. This review presents an integrated framework in which redox signals dynamically reshape the epigenetic and epitranscriptomic landscape, thereby locking immune cells into pathogenic states. Metabolic intermediates (S-adenosylmethionine, &#x3b1;-ketoglutarate, succinate, NAD+) serve as critical nodes that connect immunometabolism to both classical epigenetic enzymes and the m6A machinery, thereby linking redox status to RNA fate. Using NETosis as a paradigm, we illustrate how oxidative-epigenetic-metabolic loops sustain neutrophilic inflammation and resolution failure. Finally, we outline a treatable traits framework that integrates these mechanistic insights into precision combination therapies. This conceptual roadmap aims to shift COPD management from symptom control toward durable, mechanism-driven disease modification.

Humans

Epigenetic profiling of circulating cell-free DNA for early detection and minimal residual disease assessment in lung cancer: a focus on DNA methylation.

Lung Cancer (LC) continues to be the biggest cause of cancer-related deaths around the world, mostly because of delayed diagnosis. Even if tissue biopsies and circulating tumor DNA (ctDNA) tests have revolutionized clinical management of LC patients, their effectiveness is restricted in settings with lower tumor burden, molecular heterogeneity, and bias in sampling approaches. In this scenario, the epigenetic profiling of cell-free DNA (cfDNA) stands out as a promising, less invasive approach, accurately detect cancer traces. Evidence from stage I-II disease and CT-detected pulmonary nodules supports the diagnostic potential of cfDNA methylation, although further validation in prospective screening cohorts remains necessary. Beyond genomic alterations, cfDNA epigenetic changes, including DNA methylation, chromatin organization, nucleosome positioning, and fragmentation patterns, reflect multi-dimensional complexity of tumor biology. These properties convey both the functional status and the origin of the circulating DNA fragments, accelerating for tumor integrating genomic analysis. Within this group, DNA methylation is the biologically robust and clinically well-established epigenetic marker, as alterations in methylation linked to cancer often occur in the early stages of tumorigenesis and are commonly found across different cancer cell types. Here, we explored the biological and clinical relevance of the epigenetic landscape of cfDNA in LC patients, particularly focusing on DNA methylation-based biomarkers and their evolving applications towards early diagnosis and post-surgical monitoring of minimal residual disease (MRD). We aimed to comprehensively overview analytical approaches for cfDNA methylation analysis, including targeted and genome-wide profiling strategies, and discuss their integration with machine learning (ML) and multi-omics frameworks in order to improve diagnostic performance and clinical applicability in LC management.

DNA methylation

Epigenetic Repression of TP53 Transcription Underlies Cancer Cell Persistence for Carboplatin Resistance in Non-Small Cell Lung Cancer.

While chemoresistance in non-small cell lung cancer (NSCLC) cells has historically been attributed to permanent genetic mutations, emerging evidence highlights the role of nongenetic transcriptional plasticity and 'drug-tolerant persister' cells. To systematically map these epigenetic vulnerabilities, we utilized a genome-wide CRISPR interference library to screen wild-type TP53 NSCLC (A549) cells under carboplatin selection. Using the DrugZ algorithm and subsequent pathway enrichment analyses, this screen revealed that transcriptional suppression of interstrand crosslink DNA repair networks, including the Fanconi anemia pathway, markedly sensitized cells to carboplatin. Unexpectedly, transcriptional silencing of TP53 and its downstream target CDKN1A emerged as the strongest drivers of resistance, enabling cells to bypass therapy-induced senescence and maintain their proliferative potential later. To validate these findings in a clinically relevant context, we established a chronic carboplatin-resistant cell model (A549CarboR cells). A549CarboR exhibited a reduction in TP53 transcripts, along with decreased H3K27 acetylation and increased DNA hypermethylation on its promoter. Epigenetic remodeling using the DNA methyltransferase inhibitor (DNMTi) was associated with unblocking TP53 transcription, restored p53 signaling, and resensitization of resistant cells to carboplatin. Conversely, histone deacetylase inhibitors induced CDKN1A transcription to bypass TP53, indicating distinct epigenetic circuits. Collectively, the results demonstrate for the first time that TP53 expression is dynamically regulated at the transcriptional level through promoter methylation related to the drug tolerance. These insights emphasize that epigenetic silencing, rather than exclusive genetic loss-of-function, contribute to platinum resistance and underscore the therapeutic potential of pairing platinum regimens with DNMTi to target the transcriptomic plasticity of persistent cancer cell populations.

CRISPR interference screening

Nanoscale Epigenetic Profiling of Colorectal Cancer Cell-Derived Exosomes via Single-Vesicle Nanoscopy.

Exosomes play critical roles in cancer diagnosis and treatment as they carry molecular information that reflects the epigenetic state of their parent cells. For the first time, nanoscale epigenetic profiling of individual exosomes derived from colorectal cancer cell lines is demonstrated via photo-induced force microscopy (PiFM). Exosomes from three cell lines with distinct CpG island methylator phenotype (CIMP) status are analyzed at the single-vesicle level. The nano-IR method provides simultaneous high-resolution topographical and spectroscopic data, revealing detailed vibrational signatures that distinguish CIMP-high (HCT116 and HT29) exosomes from CIMP-negative (SW480) ones. Notably, exosomes from CIMP-high cells exhibit red-shifted amide I and nucleic acid region compared to those from CIMP-negative cells, a shift attributed to increased 5-methylcytosine (5mC) modifications, as verified by quantum chemical calculations. Furthermore, these measurements reveal heterogeneity among individual exosomes, suggesting the presence of distinct subpopulations with unique epigenetic profiles, demonstrating the importance of single-vesicle resolution to detect molecular variations that remain obscured in ensemble studies. These findings present the potential of PiFM-based single-vesicle analysis to identify epigenetic markers in exosomes, laying the groundwork for its application in refined cancer diagnostics and targeted therapeutic strategies.

Humans

Epigenetic regulation of kidney development.

The methylation or demethylation of genomic DNA at specific locations and the diverse array of post-translational modifications of histones associated with genomic DNA are collectively known as epigenetic modifications, so-called because they affect chromatin structure but do not affect the actual DNA sequence of the genome. Nevertheless, post-translational modifications of histones, including methylation, acetylation, phosphorylation and ubiquitination, as well as the methylation and subsequent de-methylation of genomic DNA, can profoundly affect gene expression. Nowhere has the study of epigenetically regulated gene expression had such impact as on our understanding of organism development. In the developing kidney, epigenetic-based regulation affects the cell fate decisions of stem-like nephron progenitor cells (NPCs). Changes in chromatin accessibility at the loci of genes associated with NPC self-renewal and nephron differentiation - in part driven by transcription factors known to regulate kidney development - affect the differentiation of NPCs into precursors of the nephron such as the pretubular aggregate and renal vesicle, and the subsequent differentiation of various segments of the mature nephron. Epigenetic mechanisms also contribute to the process of NPC ageing and the cessation of nephrogenesis, with consequences for nephron endowment and kidney function.

Epigenesis, Genetic

Design of optimized epigenetic regulators for durable gene silencing with application to PCSK9 in nonhuman primates.

Epigenetic editing is a promising strategy for modifying gene expression while avoiding the permanent alterations and potential genotoxicity of genome-editing technologies. Here we designed optimized epigenetic regulators (EpiRegs) by testing combinations of transcription activator-like effector (TALE)-based and catalytically deactivated Cas9 (dCas9)-based epigenetic modification effectors and fusion protein structures. TALE-based EpiReg (EpiReg-T) achieved a final efficiency of 98% in mice, surpassing the initial dCas9-based efficiency of 64%. We demonstrated the approach in macaques by introducing DNA methylation and histone modifications to inhibit proprotein convertase subtilisin/kexin type 9 (PCSK9) expression, thereby lowering low-density lipoprotein cholesterol levels. A single dose of EpiReg-T delivered with lipid nanoparticles achieved efficient (>90%) and long-lasting (343&#x2009;days) silencing of PCSK9 in the liver. Integrative multiomic analyses revealed minimal off-target effects in EpiReg-T-treated monkeys, mice and human-derived cells. EpiReg can be redirected to other genes by reengineering the DNA-binding domain. Our findings represent a step toward the clinical application of epigenetic editing for the treatment of human diseases.

Animals

Metabolites with a message: impacts on epigenetics and implications for epimetabopathies.

Once identified primarily as a bioenergetic organelle, the mitochondrion has now emerged as a pivotal signalling hub that communicates with the nucleus to shape cellular fate. It integrates the cell's metabolic state with transcriptional and epigenetic programs, tweaking gene expression. Mitochondrial metabolites serve as regulators of cellular physiology, functioning as important signalling intermediates and modulating enzymes involved in epigenetic modifications. In parallel, nuclear transcriptional programs govern mitochondrial biogenesis, dynamics and quality control to preserve metabolic homeostasis under stress. Moreover, circulating metabolites can function as systemic messengers coordinating interorgan crosstalk and immune responses. Perturbations in this dynamic reciprocity can rewire the cellular script and spiral into "epimetabopathies", where metabolic-epigenetic conflicts ignite pathological conditions. This review discusses how mitochondria-nucleus crosstalk coordinates genome surveillance, metabolite-driven epigenetic regulation and systemic metabolic signalling. It further offers an overview of epimetabopathies with potential implications for future diagnostics and therapeutics.

Humans

Impact of Maternal Aspirin Therapy on Neonatal Epigenetic Patterns.

BACKGROUND: Low-dose aspirin (LDA) is an intervention recommended to prevent the development of hypertensive disorders of pregnancy (HDP) in high-risk pregnancies. Maternal conditions such as HDP have been associated with cord blood epigenetic changes including those related to cardiovascular processes; however, it is unclear whether maternal aspirin therapy may impact neonatal epigenetics in otherwise healthy high-risk pregnancy. OBJECTIVE: This study aimed to determine if maternal LDA exposure in utero leads to altered DNA methylation in umbilical cord blood cells in term neonates compared with controls not exposed to aspirin, and to identify if these methylation changes alter key pathways in the development of chronic disease. METHODS: Umbilical cord blood was collected from 10 neonates without LDA exposure and 13 neonates with LDA exposure in utero. Patients with hypertensive disorders of pregnancy, COVID-19, and chorioamnionitis were excluded. Genomic DNA was isolated from umbilical cord blood cells and genome-wide DNA methylation was performed using Illumina Methylation EPIC assay. RESULTS: A total of 155 differentially methylated loci (81 genes were hypermethylated and 74 were hypomethylated) were identified in LDA-exposed neonatal umbilical cord blood compared with the control group. Important canonical pathways identified by Ingenuity Pathway Analysis (IPA) were related to Th1 and Th2 signaling and classical (M1) macrophage activation. The genes affected by LDA exposure were associated with cardiac and renal systems. CONCLUSION: LDA exposure led to differential DNA methylation in umbilical cord blood. The differentially methylated genes were related to inflammatory pathways as well as cardiac and renal toxicity pathways. LDA exposure in utero may promote altered health programming in the neonate in areas impacting cardiovascular health. KEY POINTS: &#xb7; Maternal aspirin exposure is associated with differential DNA methylation in cord blood.. &#xb7; Cord blood epigenetic changes associated with maternal aspirin relate to anti-inflammatory pathways.. &#xb7; Research on potential protective impact of maternal aspirin on neonatal epigenetics is warranted..

Humans