Head-to-head comparison of various antipsychotic agents on genome-wide methylation in schizophrenia

2021 ◽  
Author(s):  
Christopher Adanty ◽  
Ahmad Shakeri ◽  
John Strauss ◽  
Ariel Graff ◽  
Vincenzo De Luca

Aim: To explore possible differences in genome-wide methylation between schizophrenia patients who consume various antipsychotics. Methods: We compared DNA methylation in leukocytes between the following cohorts: clozapine (n = 19) versus risperidone (n = 19), clozapine (n = 12) versus olanzapine (n = 12), clozapine (n = 9) versus quetiapine (n = 9) and clozapine (n = 33) versus healthy controls (n = 33). Subjects were matched for age, sex, ethnicity, smoking status and leukocyte proportions. Results: No single CpG site reached genome-wide significance for clozapine versus risperidone/olanzapine/quetiapine. For clozapine versus quetiapine, one significantly differentially methylated region was found – ch5: 176797920–176798049 (fwer = 0.075). Clozapine versus healthy controls yielded thousands of significantly differentially methylated CpG sites. Conclusions: Establishing antipsychotic induced genome-wide methylation patterns will further elucidate the biological and clinical effects of antipsychotic administration.

2018 ◽  
Vol 5 (1) ◽  
pp. e000282 ◽  
Author(s):  
Maaike de Vries ◽  
Diana A van der Plaat ◽  
Judith M Vonk ◽  
H Marike Boezen

IntroductionChronic obstructive pulmonary disease (COPD) is a progressive inflammatory lung disease with cigarette smoke as the main risk factor for its development. Since not every smoker develops COPD, other factors likely underlie differences in susceptibility to develop COPD. Here, we tested if DNA methylation may be such a factor by assessing the association between DNA methylation levels and COPD in never and current smokers from the general population.MethodsFor the current study, 1561 subjects were non-randomly selected from the LifeLines cohort study. We included 903 never smokers and 658 current smokers with and without COPD, defined as pre-bronchodilator forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) <70%. Subsequently, we performed robust regression analysis on whole blood DNA methylation levels of 420 938 CpG sites with COPD as outcome.ResultsNone of the CpG sites in both the never and the current smokers were genome-wide significantly associated with COPD. CpG site cg14972228 annotated to SIPAL3 was most significant (p=5.66×10−6) in the never smokers, while CpG site cg08282037 annotated to EPS8L1 was most significant (p=1.45×10−5) in the current smokers.ConclusionIn contrast to a previous, smaller study, we did not observe any significant association between DNA methylation levels and the presence of COPD, independent of smoking status. Apparently, DNA methylation studies are highly variable.


2020 ◽  
Vol 21 (12) ◽  
pp. 4476
Author(s):  
Marcela A S Pinhel ◽  
Natália Y Noronha ◽  
Carolina F Nicoletti ◽  
Vanessa AB Pereira ◽  
Bruno AP de Oliveira ◽  
...  

Weight regulation and the magnitude of weight loss after a Roux-en-Y gastric bypass (RYGB) can be genetically determined. DNA methylation patterns and the expression of some genes can be altered after weight loss interventions, including RYGB. The present study aimed to evaluate how the gene expression and DNA methylation of PIK3R1, an obesity and insulin-related gene, change after RYGB. Blood samples were obtained from 13 women (35.9 ± 9.2 years) with severe obesity before and six months after surgical procedure. Whole blood transcriptome and epigenomic patterns were assessed by microarray-based, genome-wide technologies. A total of 1966 differentially expressed genes were identified in the pre- and postoperative periods of RYGB. From these, we observed that genes involved in obesity and insulin pathways were upregulated after surgery. Then, the PIK3R1 gene was selected for further RT-qPCR analysis and cytosine-guanine nucleotide (CpG) sites methylation evaluation. We observed that the PI3KR1 gene was upregulated, and six DNA methylation CpG sites were differently methylated after bariatric surgery. In conclusion, we found that RYGB upregulates genes involved in obesity and insulin pathways.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 653-653 ◽  
Author(s):  
Ying Qu ◽  
Andreas Lennartsson ◽  
Verena I. Gaidzik ◽  
Stefan Deneberg ◽  
Sofia Bengtzén ◽  
...  

Abstract Abstract 653 DNA methylation is involved in multiple biologic processes including normal cell differentiation and tumorigenesis. In AML, methylation patterns have been shown to differ significantly from normal hematopoietic cells. Most studies of DNA methylation in AML have previously focused on CpG islands within the promoter of genes, representing only a very small proportion of the DNA methylome. In this study, we performed genome-wide methylation analysis of 62 AML patients with CN-AML and CD34 positive cells from healthy controls by Illumina HumanMethylation450K Array covering 450.000 CpG sites in CpG islands as well as genomic regions far from CpG islands. Differentially methylated CpG sites (DMS) between CN-AML and normal hematopoietic cells were calculated and the most significant enrichment of DMS was found in regions more than 4kb from CpG Islands, in the so called open sea where hypomethylation was the dominant form of aberrant methylation. In contrast, CpG islands were not enriched for DMS and DMS in CpG islands were dominated by hypermethylation. DMS successively further away from CpG islands in CpG island shores (up to 2kb from CpG Island) and shelves (from 2kb to 4kb from Island) showed increasing degree of hypomethylation in AML cells. Among regions defined by their relation to gene structures, CpG dinucleotide located in theoretic enhancers were found to be the most enriched for DMS (Chi χ2<0.0001) with the majority of DMS showing decreased methylation compared to CD34 normal controls. To address the relation to gene expression, GEP (gene expression profiling) by microarray was carried out on 32 of the CN-AML patients. Totally, 339723 CpG sites covering 18879 genes were addressed on both platforms. CpG methylation in CpG islands showed the most pronounced anti-correlation (spearman ρ =-0.4145) with gene expression level, followed by CpG island shores (mean spearman rho for both sides' shore ρ=-0.2350). As transcription factors (TFs) have shown to be crucial for AML development, we especially studied differential methylation of an unbiased selection of 1638 TFs. The most enriched differential methylation between CN-AML and normal CD34 positive cells were found in TFs known to be involved in hematopoiesis and with Wilms tumor protein-1 (WT1), activator protein 1 (AP-1) and runt-related transcription factor 1 (RUNX1) being the most differentially methylated TFs. The differential methylation in WT 1 and RUNX1 was located in intragenic regions which were confirmed by pyro-sequencing. AML cases were characterized with respect to mutations in FLT3, NPM1, IDH1, IDH2 and DNMT3A. Correlation analysis between genome wide methylation patterns and mutational status showed statistically significant hypomethylation of CpG Island (p<0.0001) and to a lesser extent CpG island shores (p<0.001) and the presence of DNMT3A mutations. This links DNMT3A mutations for the first time to a hypomethylated phenotype. Further analyses correlating methylation patterns to other clinical data such as clinical outcome are ongoing. In conclusion, our study revealed that non-CpG island regions and in particular enhancers are the most aberrantly methylated genomic regions in AML and that WT 1 and RUNX1 are the most differentially methylated TFs. Furthermore, our data suggests a hypomethylated phenotype in DNMT3A mutated AML. Disclosures: No relevant conflicts of interest to declare.


Author(s):  
Ashani Lecamwasam ◽  
Boris Novakovic ◽  
Braydon Meyer ◽  
Elif I Ekinci ◽  
Karen M Dwyer ◽  
...  

Abstract Background We investigated a cross-sectional epigenome-wide association study of patients with early and late diabetes-associated chronic kidney disease (CKD) to identify possible epigenetic differences between the two groups as well as changes in methylation across all stages of diabetic CKD. We also evaluated the potential of using a panel of identified 5′-C-phosphate-G-3′ (CpG) sites from this cohort to predict the progression of diabetic CKD. Methods This cross-sectional study recruited 119 adults. DNA was extracted from blood using the Qiagen QIAampDNA Mini Spin Kit. Genome-wide methylation analysis was performed using Illumina Infinium MethylationEPIC BeadChips (HM850K). Intensity data files were processed and analysed using the minfi and MissMethyl packages for R. We examined the degree of methylation of CpG sites in early versus late diabetic CKD patients for CpG sites with an unadjusted P-value &lt;0.01 and an absolute change in methylation of 5% (n = 239 CpG sites). Results Hierarchical clustering of the 239 CpG sites largely separated the two groups. A heat map for all 239 CpG sites demonstrated distinct methylation patterns in the early versus late groups, with CpG sites showing evidence of progressive change. Based on our differentially methylated region (DMR) analysis of the 239 CpG sites, we highlighted two DMRs, namely the cysteine-rich secretory protein 2 (CRISP2) and piwi-like RNA-mediated gene silencing 1 (PIWIL1) genes. The best predictability for the two groups involved a receiver operating characteristics curve of eight CpG sites alone and achieved an area under the curve of 0.976. Conclusions We have identified distinct DNA methylation patterns between early and late diabetic CKD patients as well as demonstrated novel findings of potential progressive methylation changes across all stages (1–5) of diabetic CKD at specific CpG sites. We have also identified associated genes CRISP2 and PIWIL1, which may have the potential to act as stage-specific diabetes-associated CKD markers, and showed that the use of a panel of eight identified CpG sites alone helps to increase the predictability for the two groups.


2018 ◽  
Author(s):  
Yihui Zhu ◽  
Charles E. Mordaunt ◽  
Dag H. Yasui ◽  
Ria Marathe ◽  
Rochelle L. Coulson ◽  
...  

AbstractDNA methylation acts at the interface of genetic and environmental factors relevant for autism spectrum disorder (ASD). Placenta, normally discarded at birth, is a potentially rich source of DNA methylation patterns predictive of ASD in the child. Here, we performed whole methylome analyses of placentas from a prospective study of high-risk pregnancies. 400 differentially methylated regions (DMRs) discriminated placentas stored from children later diagnosed with ASD compared to typical controls. These ASD DMRs were significantly enriched at promoters, mapped to 596 genes functionally enriched in neuronal development, and overlapped genetic ASD risk. ASD DMRs at CYP2E1 and IRS2 reached genome-wide significance, replicated by pyrosequencing, and correlated with expression. Methylation at CYP2E1 associated with both ASD diagnosis and cis genotype, while methylation at IRS2 was unaffected by cis genotype but modified by preconceptional maternal prenatal vitamin use. This study therefore identified two potentially useful early epigenetic markers for ASD in placenta.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2376-2376
Author(s):  
Anilkumar Gopalakrishnapillai ◽  
Erin Lynn Crowgey ◽  
Adam Marsh ◽  
E. Anders Kolb ◽  
Sonali P. Barwe

Abstract Pediatric acute myeloid leukemia (AML) patients possessing rearrangement of the KMT2A (previously known as MLL) gene on 11q23 constitute a subclass with a particularly poor prognosis. The five-year survival rate for these patients is only about 44% due to poor response to conventional chemotherapy and frequent early relapse. Aberrant epigenetic modifications play an important role in leukemogenesis in KMT2A-rearranged leukemia. Accordingly, several epigenome modifying drugs have been tested in preclinical studies of KMT2A-rearranged leukemia. Acknowledging the co-regulatory effects of DNA methylation and histone modifications in determining chromatin structure and governing gene expression, we combined DNA hypomethylating agent azacitidine with histone deacetylase inhibitor panobinostat in the hopes of achieving greater efficacy. We showed that this epigenetic drug combination was more efficacious than single agents using cell line derived xenograft models of pediatric AML (Gopalakrishnapillai et al., Leuk Res, 2017). We evaluated the efficacy of this epigenetic drug combination in patient-derived xenograft models of KMT2A rearranged pediatric AML and observed that similar to MV4;11 model, this combination induced complete remission in NTPL-146 model with KMT2A-MLLT1 fusion (Fig. 1A, P&lt;0.001). We analyzed the methylome of AML cells harvested from xenografted mice treated with control, azacitidine, panobinostat, or a combination of the two. Methylation sensitive restriction endonucleases were utilized to fragment genomic DNA prior to library construction for next generation sequencing. GenPro software platform designed for highly quantitative, sensitive, and low error-rate detection of methylation at individual CpG sites was used. Methylation patterns between treatment groups were discriminated using an ordinate analysis technique of non-metric multidimensional scaling (NMDS) (Fig. 1B). CpG methylation profiles were compared among the four groups analyzed to isolate patterns conserved within groups while also differing between groups. The first two component axes were plotted to locate the individual sample points in a 2D plane. Samples from distinct PDX models undergoing similar treatment clustered together. The panobinostat-treated samples showed minimal differences compared to the control, while the azacitidine-treated samples clustered away. Interestingly, the samples treated with the combination, did not overlap with either treatment, indicating that although panobinostat alone showed minimal impact on methylation patterns, panobinostat together with azacitidine produced a distinct methylation pattern. Venn intersection sets of statistically significant differentially methylated CpG sites in the 3-way analyses derived from the control group comparisons showed 2086 CpG sites exclusively altered in the combination treatment (Fig. 1C). In order to determine the effect of the combination treatment on global methylation, the differences in methylation load (dML) per each CpG site between control and the combination treatment were summed across 1MB genome intervals and the distribution of these dML was plotted (Fig. 1D). There was a strong shift in methylation signal, with the majority of the intervals being hypomethylated in the treatment group compared to the control. Although global hypomethylation was observed in combination treatment, the most statistically significant CpG sites were hypermethylated in the combination treatment compared to the control as seen in the volcano plot in which log fold-change was plotted against the p-value (Fig. 1E). Circular ideogram presented with a mean subtraction of CpG methylation scores to calculate a summation methylation load score across chromosomal domains (Fig. 1F). The correlative association between top CpG sites is shown as arcs tracking the highest correlation for each CpG site. Gene labels indicate the positions of the top 60 CpG sites, with green and red indicating higher methylation in control and in combination treatment respectively. In conclusion, we have identified differential methylation patterns following in vivo treatment of KMT2A rearranged pediatric AML xenograft models with azacitidine and panobinostat combination compared to azacitidine alone. These methylation changes are likely to influence the increased survival seen in mice receiving combination treatment. Figure 1 Figure 1. Disclosures Gopalakrishnapillai: Geron: Research Funding. Marsh: Genome Profiling LLC: Current Employment. Barwe: Prelude Therapeutics: Research Funding.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2670-2670
Author(s):  
Allison E Ashley-Koch ◽  
Melanie Garrett ◽  
Karen Soldano ◽  
Latorya A. Barber ◽  
Marilyn J. Telen

Abstract Abstract 2670 Introduction: Hydroxyurea (HU) is currently the only pharmacologic agent widely used to ameliorate the symptoms of sickle cell disease (SCD). The clinical effects of HU are diverse, including the well-known increase in levels of fetal hemoglobin (HbF), effects on leukocyte and platelet counts, and down-regulation of red cell adhesion despite increased expression of some adhesion receptors. However, the precise mechanisms by which HU exerts its ameliorative and pleiotropic actions are not well understood. HU is primarily thought to inhibit DNA replication and cause cell cycle arrest due to inhibition of ribonucleotide reductase (Yarbro, 1992). This mechanism is likely how HU exhibits its ameliorative effects in myeloproliferative conditions. But it is not as clear how this action results in an increase in the percentage of red blood cells that express a large percentage of HbF (Platt, 2008). Previous evidence suggests that HU may induce epigenetic (specifically, hypermethylation) changes to DNA (Nyce, 1989). Thus, we hypothesized that HU may increase HbF levels and cause other systemic changes through epigenetic mechanisms. Methods: To test the hypothesis that HU usage is associated with alterations in DNA methylation, we examined DNA samples from 24 adult patients with SCD, 12 of whom were taking HU at the time of DNA collection and 12 of whom were not. DNA from each individual was pre-treated with bisulfite (Zymo Research) and assessed for methylation levels at 27,578 CpG sites in 14,495 genes using the Illumina HumanMethylation27 BeadChip. One sample (off HU) failed to undergo a successful bisulfite DNA conversion and was subsequently removed from analysis. The relative levels of methylation (β) were calculated as the ratio of methylated probe signal to total locus signal intensity. Linear regression (PROC GLM, SAS version 9.1.3, Cary, NC) was used to test for differences in methylation (β) as a function of HU usage, controlling for sex and age. Results: On average, patients using HU had higher mean levels of methylation genome-wide compared with patients not taking HU, although the difference was not statistically significant, likely due to the small number of patients examined. Using the Benjamini-Hochberg false discovery correction for multiple testing and setting a stringent corrected p-value threshold of 0.05, we identified 247 out of the approximately 27,000 CpG sites that were differentially methylated as a function of HU usage. Eight CpG sites met a very stringent Bonferroni correction and represented a functionally diverse set of genes, including ones that encode a phosphatase, influence neural outgrowth, and play a role in vertebral development. CpG sites meeting the false discovery correction (n=247) were subsequently subjected to gene network and ontology analysis using DAVID pathway software (http://david.abcc.ncifcrf.gov/) to determine if specific biological pathways were statistically enriched for differences in DNA methylation. Several of these sites were associated with pathways involved in cell growth, senescence and differentiation, as might be expected given the known effects of HU on hematopoiesis. However, the TGFβ pathway was also significantly represented in this subset of CpG sites (pathway analysis p<0.05). Discussion: Consistent with findings by Nyce (1989), we observed a trend in which HU usage was associated with hypermethylation, so that patients taking HU had on average more methylation genome-wide than patients not taking HU. Genetic variation in the TGFβ pathway has been implicated in the occurrence of several SCD complications, including pulmonary hypertension (Ashley-Koch et al., 2008), risk for stroke (Sebastiani et al., 2005), leg ulcers (Nolan et al., 2006), bacteremia (Adewoye et al., 2006), and priapism (Elliott et al., 2007). Therefore, identification of this pathway as affected by HU is especially interesting. In summary, we have evidence that DNA epigenetic differences occur in sickle cell patients as a result of HU usage and are associated a wide variety of gene pathways, consistent with the diverse array of clinical and laboratory changes observed in patients on HU. Future studies will include confirmation of the epigenetic differences in the specific genes implicated among a larger cohort of SCD patients on and off HU, as well as functional studies of these genes. Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Daniel L. McCartney ◽  
Futao Zhang ◽  
Robert F. Hillary ◽  
Qian Zhang ◽  
Anna J. Stevenson ◽  
...  

Abstract Background Advanced age is associated with cognitive and physical decline and is a major risk factor for a multitude of disorders. There is also a gap in life expectancy between males and females. DNA methylation differences have been shown to be associated with both age and sex. Here, we investigate age-by-sex differences in blood-based DNA methylation in an unrelated cohort of 2586 individuals between the ages of 18 and 87 years, with replication in a further 4450 individuals between the ages of 18 and 93 years. Methods Linear regression models were applied, with stringent genome-wide significance thresholds (p < 3.6 × 10−8) used in both the discovery and replication data. A second, highly conservative mixed linear model method that better controls the false-positive rate was also applied, using the same genome-wide significance thresholds. Results Using the linear regression method, 52 autosomal and 597 X-linked CpG sites, mapping to 251 unique genes, replicated with concordant effect size directions in the age-by-sex interaction analysis. The site with the greatest difference mapped to GAGE10, an X-linked gene. Here, DNA methylation levels remained stable across the male adult age range (DNA methylation by age r = 0.02) but decreased across female adult age range (DNA methylation by age r = − 0.61). One site (cg23722529) with a significant age-by-sex interaction also had a quantitative trait locus (rs17321482) that is a genome-wide significant variant for prostate cancer. The mixed linear model method identified 11 CpG sites associated with the age-by-sex interaction. Conclusion The majority of differences in age-associated DNA methylation trajectories between sexes are present on the X chromosome. Several of these differences occur within genes that have been implicated in sexually dimorphic traits.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 600-600
Author(s):  
Hyang-Min Byun ◽  
Timothy Triche ◽  
Hyeoung-Joon Kim ◽  
Hee Nam Kim ◽  
Yeo-Kyeoung Kim ◽  
...  

Abstract Abstract 600 Background: Azacitidine is hypothesized to exert its therapeutic effect in patients with myelodysplastic syndrome (MDS) through inhibition of DNA methylation. However to date no genomic DNA methylation pattern has been shown to predict response to azacitidine in patients with MDS, and no aberrantly silenced gene or group of genes has been shown to be reactivated by azacitidine that can be clearly linked to the beneficial clinical effect. We sought to identify the gene or group of aberrantly hypermethylated genes that are responsible for the therapeutic effect of azacitidine by retrospectively analyzing genome-wide DNA methylation profiles from bone marrow samples of a cohort of 113 patients with MDS treated with the DNA methylation inhibitor, azacitidine. Methods: Bone marrow aspirates were collected at time of diagnosis prior to treatment, after 4 cycles of azacitidine therapy and 8 cycles of therapy. DNA was isolated and bisulfite treated with the EZ-96 DNA Methylation-Gold Kit. DNA methylation analysis was performed on 27,578 CpG sites representing 14,475 genes (almost ¾ of known genes) using the Infinium Bead Array system for samples at the time of diagnosis, 4 and 8 cycles of therapy. Only 19,662 CpG sites were used for further analysis due to exclusion of CpG sites that were on the × chromosome, sites suspected of containing single nucleotide polymorphisms (SNP), and sites within DNA repeats. In total 91 samples were analyzed from 43 patients with MDS, which were selected to represent different disease classifications and responses to therapy, and bone marrow aspirates from 10 healthy control subjects without MDS. Results: Two-way hierarchical cluster analysis showed clear clustering of bone marrow samples taken from subjects without MDS. DNA methylation patterns from healthy controls clustered together, and pre and post azacitidine treatment samples from the same subject clustered together as well. Samples did not cluster by DNA methylation patterns for WHO classification, International Prognostic Scoring System (IPSS), cytogenetic abnormalities, or response to azacitidine. Supervised cluster analysis is ongoing. Global decreases in DNA methylation as measured by the average methylation for all 19,662 loci assayed did decrease with treatment and there was a trend for a larger decrease in DNA methylation in those patients who responded to azacitidine. Conclusion: In this pilot study of genome-wide DNA methylation analysis of MDS patients treated with azacitidine we find global decreases of DNA methylation. We were unable to identify a DNA methylation pattern or group of hypermethylated genes that would predict response to azacitidine. MDS samples did not cluster by WHO classification, IPSS or response to azacitidine. Larger translational studies are needed, but the possibility that DNA methylation decreases in patients treated with azacitidine serve as a pharmacological marker rather than a therapeutic target should also be considered Disclosures: Laird: Celgene: Consultancy. Yang:Celgene: Honoraria, Research Funding, Speakers Bureau.


2019 ◽  
Vol 28 (16) ◽  
pp. 2659-2674 ◽  
Author(s):  
Yihui Zhu ◽  
Charles E Mordaunt ◽  
Dag H Yasui ◽  
Ria Marathe ◽  
Rochelle L Coulson ◽  
...  

Abstract DNA methylation acts at the interface of genetic and environmental factors relevant for autism spectrum disorder (ASD). Placenta, normally discarded at birth, is a potentially rich source of DNA methylation patterns predictive of ASD in the child. Here, we performed whole methylome analyses of placentas from a prospective study MARBLES (Markers of Autism Risk in Babies—Learning Early Signs) of high-risk pregnancies. A total of 400 differentially methylated regions (DMRs) discriminated placentas stored from children later diagnosed with ASD compared to typically developing controls. These ASD DMRs were significantly enriched at promoters, mapped to 596 genes functionally enriched in neuronal development, and overlapped genetic ASD risk. ASD DMRs at CYP2E1 and IRS2 reached genome-wide significance, replicated by pyrosequencing and correlated with expression differences in brain. Methylation at CYP2E1 associated with both ASD diagnosis and genotype within the DMR. In contrast, methylation at IRS2 was unaffected by within DMR genotype but modified by preconceptional maternal prenatal vitamin use. This study therefore identified two potentially useful early epigenetic markers for ASD in placenta.


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