Lower Methylation Research Articles

Intercellular mosaic methylation in fast-growing Mycobacterium tuberculosis clinical isolates

Abstract Orphan DNA adenine methyltransferases (MTases) of Mycobacterium tuberculosis (Mtb) exhibit diversity across clinical isolates, but the forces driving this variation are not entirely clear. Recently, we observed several isolates exhibiting anomalous hypomethylation by Type I MTase Mycobacterial Adenine Methyltransferase C (MamC) despite a wild-type mamC genotype (‘MamC-anomalous’ isolates). Investigating this hypomethylation through multiple analyses revealed three key findings. First, heterogeneity analysis revealed intercellular mosaic methylation (IMM) in MamC-anomalous isolates. While they often exhibit phase-variable heterogeneity, this is the first report of IMM by a prokaryotic Type I MTase. Second, MamC-anomalous isolates exhibited a large, stable difference in chromosome copy number along the replication axis (a proxy for bacterial growth rate), suggesting a distinct growth phase accompanied by MamC hypomethylation. Third, MamC methylation efficiency decreased progressively with distance from origin of replication on both strands, with a marked exaggeration in MamC-anomalous isolates. In contrast, other Mtb MTases (MamA and MamB) exhibited lower methylation levels away from the origin only on the lagging strand, and without exaggeration in MamC-anomalous isolates. We conclude that, among Mtb MTases, MamC is uniquely linked to growth dynamics.

The Impact of Alcohol-Induced Epigenetic Modifications in the Treatment of Alcohol use Disorders.

Alcohol use disorders are responsible for 5.9% of all death annually and 5.1% of the global disease burden. It has been suggested that alcohol abuse can modify gene expression through epigenetic processes, namely DNA and histone methylation, histone acetylation, and microRNA expression. The alcohol influence on epigenetic mechanisms leads to molecular adaptation of a wide number of brain circuits, including the hypothalamus-hypophysis-adrenal axis, the prefrontal cortex, the mesolimbic-dopamine pathways and the endogenous opioid pathways. Epigenetic regulation represents an important level of alcohol-induced molecular adaptation in the brain. It has been demonstrated that acute and chronic alcohol exposure can induce opposite modifications in epigenetic mechanisms: acute alcohol exposure increases histone acetylation, decreases histone methylation and inhibits DNA methyltransferase activity, while chronic alcohol exposure induces hypermethylation of DNA. Some studies investigated the chromatin status during the withdrawal period and the craving period and showed that craving was associated with low methylation status, while the withdrawal period was associated with elevated activity of histone deacetylase and decreased histone acetylation. Given the effects exerted by ethanol consumption on epigenetic mechanisms, chromatin structure modifiers, such as histone deacetylase inhibitors and DNA methyltransferase inhibitors, might represent a new potential strategy to treat alcohol use disorder. Further investigations on molecular modifications induced by ethanol might be helpful to develop new therapies for alcoholism and drug addiction targeting epigenetic processes.

Reduced expression of FOXE1 in differentiated thyroid cancer, the contribution of CPG methylation, and their clinical relevance

IntroductionForkhead box E1 (FOXE1) is a transcription factor with a crucial role in thyroid morphogenesis and differentiation. Promoter hypermethylation downregulates FOXE1 expression in different tumor types; nevertheless, its expression and relationship with methylation status in differentiated thyroid cancer (DTC) remain unclear.MethodsA total of 33 pairs of matched samples of PTC tumors and non-tumors were included. Tumor cell cultures were treated with either 5-Aza-2′-deoxycytidine demethylating agent or dimethyl sulfoxide (DMSO). A real-time polymerase chain reaction (RT-PCR) and Western blotting were performed to assess FOXE1 expression. The methylation status was quantified using bisulfite sequencing. A luciferase gene assay was used to determine CpG-island functionality. Gene expression and promoter methylation of FOXE1 and FOXE1-regulated genes were also analyzed with data from The Cancer Genome Atlas (TCGA) thyroid samples.ResultsAfter demethylating treatment, increased FOXE1 mRNA was observed concomitantly with reduced promoter methylation of CpGisland2. A negative correlation between mRNA downregulation and an increased methylation level of CpGisland2 was observed in tumors. Diminished protein expression was also detected in some DTC cell lines and in some tumor samples, suggesting the involvement of post-transcriptional regulatory mechanisms. CPGisland2 was proved to be an enhancer. TCGA data analysis showed low FOXE1 mRNA expression in tumors with a negative correlation with methylation status and a positive correlation with the expression of most of its target genes. Reduced FOXE1 expression, accompanied by a high methylation level, was associated with PTC aggressiveness (tall cell variant, advanced extra thyroid extension, T4 American Joint Committee on Cancer (AJCC) classification), age at diagnosis (over 45 years old), and presence of a BRAFV600E mutation.ConclusionFOXE1 mRNA was downregulated in DTC compared with non-tumors, followed by high CpGisland methylation. A coupling of low mRNA expression and high methylation status was related to characteristics of aggressiveness in DTC tumors.

Integrative DNA methylome and transcriptome analysis illuminate leaf phenotype alterations in tetraploid citrus

Whole-genome duplication (WGD) in plants triggers profound morphological and physiological changes, with DNA modification being a key epigenetic factor that helps neo-polyploids overcome challenges and gain adaptive advantages. Tetraploids were previously mined from diploid citrus seedlings, showing enhanced environmental adaptability and potential as rootstocks. These tetraploids exhibited increased leaf and cell wall thickness compared to their diploid counterparts. To explore the impact of WGD, transcriptomic and whole-genome bisulfite sequencing (WGBS) were conducted on two pairs of citrus tetraploids and their diploid controls, revealing significant molecular changes. Notably, tetraploid citrus displayed lower CG methylation levels in gene and transposable element (TE) bodies relative to diploids. Differentially methylated genes (DMGs) between tetraploids and diploids were primarily associated with immune stress, organ development, metabolic pathways, and secondary metabolism. In Trifoliate orange (Poncirus trifoliata L. Raf.) and Ziyang Xiangcheng (Citrus junos Sieb. ex Tanaka), only 150 and 58 differentially expressed genes (DEGs) were identified, respectively, with enrichment in critical cellular processes such as cell wall synthesis, plastid development, and pathways modulating chloroplasts and plasma membranes. A total of 70 genes showed both differential methylation and expression, including ACN1, Nac036, and ASMT1, which are involved in stomatal development, leaf morphology, and melatonin synthesis, respectively, offering insight into the regulatory mechanisms of phenotype alterations after polyploidization. These findings reveal the epigenetic modifications in polyploid citrus and highlight the role of polyploidization-induced methylation in driving phenotypic changes.

TNF-alpha gene promoter's hypomethylation mediates a pro-inflammatory phenotype in peripheral blood monocytes from apical periodontitis individuals.

Epigenetic regulation of the key inflammatory genes plays a crucial role in controlling monocyte/macrophage-mediated local and systemic responses to bacterial challenges. However, it has not been addressed in apical periodontitis (AP). We aimed to explore the methylation pattern of the TNF-α gene promoter and its association with the inflammatory phenotype of peripheral blood monocytes from individuals with AP and controls. A cross-sectional study was conducted, including otherwise healthy individuals with AP (n = 25) and controls (n = 29). Monocytes were isolated from the volunteer's blood samples using a Ficoll gradient followed by negative immunoselection. RNA and DNA were extracted. The DNA methylation profiles of the TNF-α gene promoter region were analyzed using bisulfite sequencing PCR. The mRNA expression levels of DNA methyltransferases 3a (DNMT3a) and Ten Eleven Translocation enzymes 1(TET1) were assessed by qPCR. A fraction of primary monocytes was also cultured for 24 h, and the supernatant was collected to measure cytokine levels through a Luminex assay. Generalized structural equation models (GSEM) evaluated the association between AP, DNA methylation, and TNF-α protein expression controlled for potential covariates. Models included the effect of the methylation of TNF-α gene promoter as a mediator of the association between AP and TNF-α protein expression levels. Monocytes from AP individuals exhibited a heightened secretion of TNF-α and IL-1β and hypomethylation of the TNF gene promoter (p < .05). AP diagnosis was associated with the TNF-α gene promoter´s hypomethylated profile and enhanced pro-inflammatory cytokine levels, while lower methylation of the gene promoter region and -163 CpG single site mediated TNF-α overexpression (p < .05). DNA hypomethylation at the TNF-α gene mediates a proinflammatory phenotype in monocytes from AP patients, supporting a role in the systemic response.

DNA methylation biomarker panels for differentiating various liver adenocarcinomas, including hepatocellular carcinoma, cholangiocarcinoma, colorectal liver metastases and pancreatic adenocarcinoma liver metastases

BackgroundDNA methylation biomarkers are one of the most promising tools for the diagnosis and differentiation of adenocarcinomas of the liver, which are among the most common malignancies worldwide. Their differentiation is important because of the different prognoses and treatment options. This study aimed to validate previously identified DNA methylation biomarkers that successfully differentiate between liver adenocarcinomas, including the two most common primary liver cancers, hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), as well as two common metastatic liver cancers, colorectal liver metastases (CRLM) and pancreatic ductal adenocarcinoma liver metastases (PCLM), and translate them to the methylation-sensitive high-resolution melting (MS-HRM) and digital PCR (dPCR) platforms.MethodsOur study included a cohort of 149 formalin-fixed, paraffin-embedded tissue samples, including 19 CRLMs, 10 PCLMs, 15 HCCs, 15 CCAs, 15 colorectal adenocarcinomas (CRCs), 15 pancreatic ductal adenocarcinomas (PDACs) and their paired normal tissue samples. The methylation status of the samples was experimentally determined by MS-HRM and methylation-specific dPCR. Previously determined methylation threshold were adjusted according to dPCR data and applied to the same DNA methylation array datasets (provided by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)) used to originally identify the biomarkers for the included cancer types and additional CRLM projects. The sensitivities, specificities and diagnostic accuracies of the panels for individual cancer types were calculated.ResultsIn the dPCR experiment, the DNA methylation panels identified HCC, CCA, CRC, PDAC, CRLM and PCLM with sensitivities of 100%, 66.7%, 100%, 86.7%, 94.7% and 80%, respectively. The panels differentiate between HCC, CCA, CRLM, PCLM and healthy liver tissue with specificities of 100%, 100%, 97.1% and 94.9% and with diagnostic accuracies of 100%, 94%, 97% and 93%, respectively. Reevaluation of the same bioinformatic data with new additional CRLM projects demonstrated that the lower dPCR methylation threshold still effectively differentiates between the included cancer types. The bioinformatic data achieved sensitivities for HCC, CCA, CRC, PDAC, CRLM and PCLM of 88%, 64%, 97.4%, 75.5%, 80% and 84.6%, respectively. Specificities between HCC, CCA, CRLM, PCLM and healthy liver tissue were 98%, 93%, 86.6% and 98.2% and the diagnostic accuracies were 94%, 91%, 86% and 98%, respectively. Moreover, we confirmed that the methylation of the investigated promoters is preserved from primary CRC and PDAC to their liver metastases.ConclusionsThe cancer-specific methylation biomarker panels exhibit high sensitivities, specificities and diagnostic accuracies and enable differentiation between primary and metastatic adenocarcinomas of the liver using methylation-specific dPCR. High concordance was achieved between MS-HRM, dPCR and bioinformatic data, demonstrating the successful translation of bioinformatically identified methylation biomarkers from the Illumina Infinium HumanMethylation450 BeadChip (HM450) and lllumina MethylationEPIC BeadChip (EPIC) platforms to the simpler MS-HRM and dPCR platforms.

The dynamic N1-methyladenosine RNA methylation provides insights into the tomato fruit ripening.

N1-methyladenosine (m1A) methylation is an essential mechanism of gene regulation known to impact several biological processes in living organisms. However, little is known about the abundance, distribution, and functional significance of mRNA m1A modification during fruit ripening of tomato the main model species for fleshy fruits. Our study shows that m1A modifications are prevalent in tomato mRNA and are detected in lncRNA and circRNA. The distribution of m1A peaks in mRNA segments indicates that m1A is mainly enriched at the start codon and CDS regions. Assessing changes in global RNA methylation during fruit ripening in wild-type tomatoes and in the ripening-impaired Nr mutant affected in the ethylene receptor gene (SlETR3) revealed a decrease in the overall methylation levels from mature green (MG) stage to 6 days postbreaker (Br + 6). Nr mutant fruits show significantly lower methylation levels than Ailsa Craig (AC) fruits. Notably, differences in m1A methylation are well correlated to the expression levels of a number of key ripening-related genes. The integration of RNA-seq and MeRIP-seq data suggests a potential positive impact of m1A modifications on gene expression. In comparison to the AC fruits, the hypomethylation and reduced expression of ethylene-related genes, ACO3, EBF1, and ERF.D6, in the Nr mutants likely underpin the distinct phenotypic traits observed between the two fruit genotypes at the Br6 stage. Overall, our study brings further arguments supporting the potential significance of m1A methylation modifications in fruit ripening, a developmental process that is instrumental to plant reproduction and to fruit sensory and nutritional qualities.

DNA Methylation Classes of Stage II and III Primary Melanomas and Their Clinical and Prognostic Significance.

Patients with stage II and III cutaneous primary melanoma vary considerably in their risk of melanoma-related death. We explore the ability of methylation profiling to distinguish primary melanoma methylation classes and their associations with clinicopathologic characteristics and survival. InterMEL is a retrospective case-control study that assembled primary cutaneous melanomas from American Joint Committee on Cancer (AJCC) 8th edition stage II and III patients diagnosed between 1998 and 2015 in the United States and Australia. Cases are patients who died of melanoma within 5 years from original diagnosis. Controls survived longer than 5 years without evidence of melanoma recurrence or relapse. Methylation classes, distinguished by consensus clustering of 850K methylation data, were evaluated for their clinicopathologic characteristics, 5-year survival status, and differentially methylated gene sets. Among 422 InterMEL melanomas, consensus clustering revealed three primary melanoma methylation classes (MethylClasses): a CpG island methylator phenotype (CIMP) class, an intermediate methylation (IM) class, and a low methylation (LM) class. CIMP and IM were associated with higher AJCC stage (both P = .002), Breslow thickness (CIMP P = .002; IM P = .006), and mitotic index (both P < .001) compared with LM, while IM had higher N stage than CIMP (P = .01) and LM (P = .007). CIMP and IM had a 2-fold higher likelihood of 5-year death from melanoma than LM (CIMP odds ratio [OR], 2.16 [95% CI, 1.18 to 3.96]; IM OR, 2.00 [95% CI, 1.12 to 3.58]) in a multivariable model adjusted for age, sex, log Breslow thickness, ulceration, mitotic index, and N stage. Despite more extensive CpG island hypermethylation in CIMP, CIMP and IM shared similar patterns of differential methylation and gene set enrichment compared with LM. Melanoma MethylClasses may provide clinical value in predicting 5-year death from melanoma among patients with primary melanoma independent of other clinicopathologic factors.

Mathematical model of RNA-directed DNA methylation predicts tuning of negative feedback required for stable maintenance.

RNA-directed DNA methylation (RdDM) is a plant-specific de novo methylation pathway that is responsible for maintenance of asymmetric methylation (CHH, H = A, T or G) in euchromatin. Loci with CHH methylation produce 24 nucleotide (nt) short interfering (si) RNAs. These siRNAs direct additional CHH methylation to the locus, maintaining methylation states through DNA replication. To understand the necessary conditions to produce stable methylation, we developed a stochastic mathematical model of RdDM. The model describes DNA target search by siRNAs derived from CHH methylated loci bound by an Argonaute. Methylation reinforcement occurs either throughout the cell cycle (steady) or immediately following replication (bursty). We compare initial and final methylation distributions to determine simulation conditions that produce stable methylation. We apply this method to the low CHH methylation case. The resulting model predicts that siRNA production must be linearly proportional to methylation levels, that bursty reinforcement is more stable and that slightly higher levels of siRNA production are required for searching DNA, compared to RNA. Unlike CG methylation, which typically exhibits bi-modality with loci having either 100% or 0% methylation, CHH methylation exists across a range. Our model predicts that careful tuning of the negative feedback in the system is required to enable stable maintenance.

KDM2A and KDM2B protect a subset of CpG Islands from DNA methylation

In the mammalian genome, most CpGs are methylated. However, CpGs within the CpG islands (CGIs) are largely unmethylated, which are important for gene expression regulation. The mechanism underlying the low methylation levels at CGIs remains largely elusive. KDM2 proteins (KDM2A and KDM2B) are H3K36me2 demethylases known to bind specifically at CGIs. Here, we report that depletion of each or both KDM2 proteins, or mutation of all their JmjC domains that harbor the H3K36me2 demethylation activity, leads to an increase in DNA methylation at selective CGIs. The Kdm2a/2b double knockout shows a stronger increase in DNA methylation compared to the single mutant of Kdm2a or Kdm2b, indicating that KDM2A and KDM2B redundantly regulate DNA methylation at CGIs. In addition, the increase of CGI DNA methylation upon mutations of KDM2 proteins is associated with the chromatin environment. Our findings reveal that KDM2A and KDM2B function redundantly in regulating DNA methylation at a subset of CGIs in an H3K36me2 demethylation-dependent manner.

Utilizing Short Interspersed Nuclear Element as a Genetic Marker for Pre-Harvest Sprouting in Wheat.

Pre-harvest sprouting (PHS) is a complex abiotic stress caused by multiple exogenous and endogenous variables that results in random but significant quality and yield loss at the terminal crop stage in more than half of the wheat-producing areas of the world. Systematic research over more than five decades suggests that addressing this challenge requires tools beyond the traditional genetic manipulation approach. Previous molecular studies indicate a possible role of epigenetics in the regulation of seed dormancy and PHS in crops, especially through RNA-directed DNA methylation (RdDM) pathways mediated by Argonaute (AGO) proteins. In this study, we explore the role of the AGO802B gene associated with PHS resistance in wheat, through the presence of a SINE retrotransposon insertion. The current study found the SINE insertion at 3'UTR of the TaAGO802B present in 73.2% of 41 cultivars analyzed and in 92.6% of the resistant cultivar subset. The average expression of TaAGO802B in cultivars with the SINE insertion was 73.3% lower than in cultivars without insertion. This study also indicated a significant positive correlation between the PHS score and methylation levels in the cultivars. The resistant cultivars with the SINE insertion recorded 54.7% lower methylation levels than susceptible cultivars. Further analysis of a DH population (Sadash × P2711) reveals that SINE insertion co-segregates with PHS resistance. This sets forth the SINE insertion in TaAGO802B as a genetic marker for screening wheat germplasm and as an efficient tool for breeding PHS-resistant wheat cultivars.

Non-cigarette tobacco products, aryl-hydrocarbon receptor repressor gene methylation and smoking-related health outcomes

IntroductionCigarette smoking leads to altered DNA methylation at the aryl-hydrocarbon receptor repressor (AHRR) gene. However, it remains unknown whether pipe or cigar smoking is associated with AHRR methylation. We evaluated...

Systematic perturbations of SETD2, NSD1, NSD2, NSD3, and ASH1L reveal their distinct contributions to H3K36 methylation

BackgroundMethylation of histone 3 lysine 36 (H3K36me) has emerged as an essential epigenetic component for the faithful regulation of gene expression. Despite its importance in development and disease, how the molecular agents collectively shape the H3K36me landscape is unclear.ResultsWe use mouse mesenchymal stem cells to perturb the H3K36me methyltransferases (K36MTs) and infer the activities of the five most prominent enzymes: SETD2, NSD1, NSD2, NSD3, and ASH1L. We find that H3K36me2 is the most abundant of the three methylation states and is predominantly deposited at intergenic regions by NSD1, and partly by NSD2. In contrast, H3K36me1/3 are most abundant within exons and are positively correlated with gene expression. We demonstrate that while SETD2 deposits most H3K36me3, it may also deposit H3K36me2 within transcribed genes. Additionally, loss of SETD2 results in an increase of exonic H3K36me1, suggesting other (K36MTs) prime gene bodies with lower methylation states ahead of transcription. While NSD1/2 establish broad intergenic H3K36me2 domains, NSD3 deposits H3K36me2 peaks on active promoters and enhancers. Meanwhile, the activity of ASH1L is restricted to the regulatory elements of developmentally relevant genes, and our analyses implicate PBX2 as a potential recruitment factor.ConclusionsWithin genes, SETD2 primarily deposits H3K36me3, while the other K36MTs deposit H3K36me1/2 independently of SETD2 activity. For the deposition of H3K36me1/2, we find a hierarchy of K36MT activities where NSD1 > NSD2 > NSD3 > ASH1L. While NSD1 and NSD2 are responsible for most genome-wide propagation of H3K36me2, the activities of NSD3 and ASH1L are confined to active regulatory elements.

DNA demethylation triggers cell free DNA release in colorectal cancer cells

BackgroundLiquid biopsy based on cell-free DNA (cfDNA) analysis holds significant promise as a minimally invasive approach for the diagnosis, genotyping, and monitoring of solid malignancies. Human tumors release cfDNA in the bloodstream through a combination of events, including cell death, active and passive release. However, the precise mechanisms leading to cfDNA shedding remain to be characterized. Addressing this question in patients is confounded by several factors, such as tumor burden extent, anatomical and vasculature barriers, and release of nucleic acids from normal cells. In this work, we exploited cancer models to dissect basic mechanisms of DNA release.MethodsWe measured cell loss ratio, doubling time, and cfDNA release in the supernatant of a colorectal cancer (CRC) cell line collection (N = 76) representative of the molecular subtypes previously identified in cancer patients. Association analyses between quantitative parameters of cfDNA release, cell proliferation, and molecular features were evaluated. Functional experiments were performed to test the impact of modulating DNA methylation on cfDNA release.ResultsHigher levels of supernatant cfDNA were significantly associated with slower cell cycling and increased cell death. In addition, a higher cfDNA shedding was found in non-CpG Island Methylator Phenotype (CIMP) models. These results indicate a positive correlation between lower methylation and increased cfDNA levels. To explore this further, we exploited methylation microarrays to identify a subset of probes significantly associated with cfDNA shedding and derive a methylation signature capable of discriminating high from low cfDNA releasers. We applied this signature to an independent set of 176 CRC cell lines and patient derived organoids to select 14 models predicted to be low or high releasers. The methylation profile successfully predicted the amount of cfDNA released in the supernatant. At the functional level, genetic ablation of DNA methyl-transferases increased chromatin accessibility and DNA fragmentation, leading to increased cfDNA release in isogenic CRC cell lines. Furthermore, in vitro treatment of five low releaser CRC cells with a demethylating agent was able to induce a significant increase in cfDNA shedding.ConclusionsMethylation status of cancer cell lines contributes to the variability of cfDNA shedding in vitro. Changes in methylation pattern are associated with cfDNA release levels and might be exploited to increase sensitivity of liquid biopsy assays.

Dynamic landscape of m6A modifications and related post-transcriptional events in muscle-invasive bladder cancer

BackgroundMuscle-invasive bladder carcinoma (MIBC) is a serious and more advanced stage of bladder carcinoma. N6-Methyladenosine (m6A) is a dynamic and reversible modifications that primarily affects RNA stability and alternative splicing. The dysregulation of m6A in MIBC can be potential target for clinical interventions, but there have been limited studies on m6A modifications in MIBC and their associations with post-transcriptional regulatory processes.MethodsPaired tumor and adjacent-normal tissues were obtained from three patients with MIBC following radical cystectomy. The additional paired tissues for validation were obtained from patients underwent transurethral resection. Utilizing Nanopore direct-RNA sequencing, we characterized the m6A RNA methylation landscape in MIBC, with a focus on identifying post-transcriptional events potentially affected by changes in m6A sites. This included an examination of differential transcript usage, polyadenylation signal sites, and variations in poly(A) tail length, providing insights into the broader impact of m6A alterations on RNA processing in MIBC.ResultsThe prognostic-related m6A genes and m6A-risk model constructed by machine learning enables the stratification of high and low-risk patients with precision. A novel m6A modification site in the 3’ untranslated region (3’UTR) of IGLL5 gene were identified, characterized by a lower m6A methylation ratio, elongated poly(A) tails, and a notable bias in transcript usage. Furthermore, we discovered two particular transcripts, VWA1-203 and CEBPB-201. VWA1-203 displayed diminished m6A methylation levels, a truncated 3’UTR, and an elongated poly(A) tail, whereas CEBPB-201 showed opposite trends, highlighting the complex interplay between m6A modifications and RNA processing. Source code was provided on GitHub (https://github.com/lelelililele/Nanopore-m6A-analysis).ConclusionsThe state-of-the-art Nanopore direct-RNA sequencing and machine learning techniques enables comprehensive identification of m6A modification and provided insights into the potential post-transcriptional regulation mechanisms on the development and progression in MIBC.

8294 Association between gene mutations and DNA methylation of CYP11B2 in aldosterone-producing adenoma

Abstract Disclosure: M. Kometani: None. R. Mizoguchi: None. M. Demura: None. K. Aiga: None. S. Konishi: None. D. Aono: None. S. Karashima: None. Y. Takeda: None. T. Yoneda: None. Context: Primary aldosteronism (PA) causes hypertension and cardiovascular complications. Recently, in aldosterone producing adenomas (APA), various genetic mutations have been identified. In addition, epigenetic mechanisms, such as DNA methylation, are also involved in excessive aldosterone production. Several studies have shown that aldosterone synthase (CYP11B2) is hypomethylated in APA. On the other hand, the relationship between specific genetic variants identified in APA and DNA methylation has not been fully clarified. Objective: To investigate the relationship between specific genetic mutations in APA and DNA methylation of CYP11B2. Methods: We analyzed 48 patients (female 23 cases) diagnosed with APA and treated between 2001 and 2022. First, Gene mutation analysis using next-generation sequencing was performed. KCNJ5, ATP1A1, ATP2B3, CACNA1D, and CACNA1H, which are known mutations in PA, and PRKACA, PRKA1A, GNAS, CTNNB1, and ARMC5, which are known mutations in Cushing’s syndrome, were evaluated. Next, DNA methylation analysis of the CYP11B2 promoter using pyrosequencing were performed using APA. We targeted three CpG regions near the transcription start site of CYP11B2. Results: The respective mean values for all patients were: age 52 years, systolic blood pressure 138 mmHg, diastolic blood pressure 87 mmHg, ARR 1,326, serum potassium level 3.4 mEq/L, and tumor diameter 15 mm. Genetic mutation analysis revealed KCNJ5 gene mutations in 33 of the 48 patients. Among the other cases, mutations in the CTNNB1 gene were found in three cases, mutations in the ATP1A1 gene in two cases, mutations in the CACNA1D gene in one case, and PRKACA gene mutations in one case. The remaining seven patients had no mutations in any of the analyzed genes. When DNA methylation of the promoter region of CYP11B2 was analyzed in APAs with and without mutations in KCNJ5, we found that in all three CpG regions, DNA methylation rate was significantly reduced in APAs with mutations in KCNJ5 gene (CpG1 22% vs. 30%, CpG2 42% vs. 73%, CpG3 47% vs. 75%, respectively). Conclusions: The most common genetic mutation in APA was the KCNJ5 mutation; APA with the KCNJ5 mutation had significantly lower methylation rates than CYP11B2. This suggests that genetic mutations in APA affect DNA methylation and result in hormone overproduction. Presentation: 6/3/2024

Changes in global methylation patterns of Mytilus galloprovincialis exposed to microplastics

Microplastics (MPs) disturb the normal activity of aquatic organisms at different levels, causing physiological stress and altering feeding, growth, and reproduction. Alterations of epigenetic patterns due to exposure to MPs have scarcely been studied in invertebrates. In this study, Mytilus galloprovincialis mussels (N = 61) were intermittently exposed to different concentrations of pure polystyrene microbeads for three weeks. The concentrations used in this research were similar to those currently found in certain polluted environments (E1), as well as higher doses to which mussels could be further exposed (E2 and E3). After exposure period, the global methylation patterns were investigated using Amplified Fragment Length Polymorphism (AFLPs). Significantly lower methylation was found in exposed groups compared to the control group. The level of hypomethylation increased with the concentration of microbeads. Similar results were found from field samples inhabiting two sites differentially MPs-polluted. The implications of this discovery were analysed and discussed, noting the already known effects of MPs on metabolism and cell division. Further studies on this and other sentinel organisms are recommended to understand the response of the aquatic species to the currently increasing MPs pollution.

Genome-Wide DNA Methylation Profiling Reveals Low Methylation Variability in Moyamoya Disease.

Moyamoya disease (MMD) is a chronic cerebrovascular disorder that can lead to stroke and neurological dysfunctions. Given the largely sporadic nature and the role of gene-environment interactions in various diseases, we examined epigenetic modifications in MMD. We performed genome-wide DNA methylation using Illumina 850K Methylation EPIC BeadChip, in two racially distinct adult female cohorts: a non-Asian cohort (13 MMD patients and 7 healthy controls) and an Asian cohort (14 MMD patients and 3 healthy controls). An additional external cohort with both sexes (females: 5 MMD patients and 5 healthy controls, males: 5 MMD patients and 5 healthy controls) was included for validation. Our findings revealed strikingly low DNA methylation variability between MMD patients and healthy controls, in both MMD female cohorts. In the non-Asian cohort, only 6 probes showed increased variability versus 647 probes that showed decreased variability. Similarly, in the Asian cohort, the MMD group also displayed a reduced methylation variability across all 2845 probes. Subsequent analysis showed that these differentially variable probes are located on genes involved in key biological processes such as methylation and transcription, DNA repair, cytoskeletal remodeling, natural killer cell signaling, cellular growth, and migration. These findings mark the first observation of low methylation variability in any disease, contrasting with the high variability observed in other disorders. This reduced methylation variability in MMD may hinder patients' adaptability to environmental shifts, such as hemodynamic stress, thereby influencing vascular homeostasis and contributing to MMD pathology. These findings offer new insights into the mechanisms of MMD and potential treatment strategies.

Methylome-wide association study of adolescent depressive episode with psychotic symptoms and childhood trauma

BackgroundEmerging evidence suggests that DNA methylation is crucial in the mental disorder pathophysiology. The current study attempted to identify the dysregulation of DNA methylation patterns in adolescent patients suffering from depressive episodes (DE) while considering the impact of various subtypes, including psychotic symptoms and a history of childhood trauma. MethodsThe study included 67 patients with DE and 30 healthy controls (HCs) subjects. Severe depressive episode (SDE) patients were grouped according to psychotic symptoms, such as SDE with vs. SDE without psychotic symptoms (cases 29 vs. 21). The Childhood Trauma Questionnaire-Short Form helped assess childhood trauma among all patients. Thus, all the patients were divided into adolescent DE experiencing ≥ two trauma types vs. experiencing ≤ one trauma type (cases, 50 vs. 17). Methylome-wide analysis was conducted on peripheral blood to identify methylation differences in CpG sites for three comparisons: DE vs. HCs, SDE patients with vs. without psychotic symptoms, and DE patients having 0–1 type of childhood trauma vs. those having ≥two types of childhood trauma. ResultsAdolescent DE patients demonstrated a predominant trend of lower methylation levels than HCs, with 259 hypermethylated and 3956 hypomethylated sites. Differentially hypomethylated sites involve related genes such as FKBP5, BDNF, NR3C1, GABRB3, SHANK1, SLC38A1, SLC6A18, CHRNB1, CTNNA2, CTTNBP2, etc. All these genes could be involved in DE pathogenesis. Significant DNA methylation changes could be observed in SDE subgroups with and without psychotic symptoms (e.g., genes like DTNB, CNTN1, CTNNA2), along with those DE patients having 0–1 type of childhood trauma compared to those with ≥2 types (e.g., VWA3B, SYT10, SDK2, CAMSAP3). Many significant methylated sites were associated with genes involved in brain development, highlighting the potential pathophysiological mechanisms linked with DE and its subtypes, such as psychotic symptoms and childhood trauma. ConclusionOur findings suggest that differential DNA methylation is associated with the pathophysiology of DE, as well as the presence of psychotic symptoms and a history of childhood trauma. These blood-based methylation patterns may serve as biomarkers for DE and shed light on underlying mechanisms across these subtypes.

Interplay of education and DNA methylation age on cognitive impairment: insights from the Health and Retirement Study.

Few studies have assessed the association of educational attainment on dementia and cognitive impairment through DNA methylation age acceleration, while accommodating exposure-mediator interaction effects. We evaluated the mediation role of six epigenetic clocks with dementia, cognitive impairment non-dementia, and normal cognition, while accommodating exposure-mediator interaction effects. To understand the joint association of low education (≤12 years) and DNA methylation age acceleration (yes/no) in relation to cognitive impairment, we used weighted logistic regression, adjusting for chronological age, sex, race/ethnicity, and cell type composition. We performed four-way mediation and interaction decomposition analysis. Analyses were conducted on 2016 venous blood study participants from the Health and Retirement Study (N=3724). Both GrimAge acceleration (OR=1.6 95%CI 1.3-2.1) and low educational attainment (OR=2.4 95%CI 1.9-3.0) were associated with higher odds of cognitive impairment in a mutually adjusted logistic model. We found additive interaction associations between low education and GrimAge acceleration on dementia. We observed that 6-8% of the association of education on dementia was mediated through GrimAge acceleration. While mediation effects were small, the portion of the association of education on dementia due to additive interaction with GrimAge acceleration was between 23.6 and 29.2%. These results support the interplay of social disadvantage and biological aging processes on impaired cognition.