scholarly journals Human blood DNA methylation patterns reflect individual lifestyle

Author(s):  
Ireen Klemp ◽  
Anne Hoffmann ◽  
Luise Mueller ◽  
Tobias Hagemann ◽  
Kathrin Horn ◽  
...  

Obesity is driven by modifiable lifestyle factors whose effects may be mediated by epigenetics. Therefore, we investigated lifestyle effects (diet, physical activity, smoking and alcohol) on blood DNA methylation in participants of the LIFE-Adult study, a well-characterized population-based cohort from Germany. Fifty subjects with an extremely healthy and 50 with an extremely unhealthy lifestyle were selected for genome-wide DNA methylation analysis in blood samples. Whereas obesity was only marginally related to variability in DNA methylation pattern, comparisons between lifestyle categories resulted in 145 Differentially Methylated Positions (DMPs) and 4682 Differentially Methylated Regions (DMRs) annotated to 4426 unique genes. Intersection analysis showed that diet, physical activity, smoking and alcohol intake are equally contributing to the observed differences, which particularly affects pathways related to glutamatergic synapse and axon guidance. DNA methylation patterns help discriminate individuals with a healthy vs. unhealthy lifestyle, which may mask subtle methylation differences derived from obesity.

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.


2020 ◽  
Vol 61 (10) ◽  
pp. 1061-1069
Author(s):  
Maria Elisabeth Koopman‐Verhoeff ◽  
Rosa H. Mulder ◽  
Jared M. Saletin ◽  
Irwin Reiss ◽  
Gijsbertus T.J. Horst ◽  
...  

Author(s):  
Anna Hecht ◽  
Julia A. Meyer ◽  
Johann-Christoph Jann ◽  
Katja Sockel ◽  
Aristoteles Giagounidis ◽  
...  

AbstractMyelodysplastic syndrome (MDS) with isolated deletion of chromosome 5q (MDS del5q) is a distinct subtype of MDS with quite favorable prognosis and excellent response to treatment with lenalidomide. Still, a relevant percentage of patients do not respond to lenalidomide and even experience progression to acute myeloid leukemia (AML). In this study, we aimed to investigate whether global DNA methylation patterns could predict response to lenalidomide. Genome-wide DNA methylation analysis using Illumina 450k methylation arrays was performed on n=51 patients with MDS del5q who were uniformly treated with lenalidomide in a prospective multicenter trial of the German MDS study group. To study potential direct effects of lenalidomide on DNA methylation, 17 paired samples pre- and post-treatment were analyzed. Our results revealed no relevant effect of lenalidomide on methylation status. Furthermore, methylation patterns prior to therapy could not predict lenalidomide response. However, methylation clustering identified a group of patients with a trend towards inferior overall survival. These patients showed hypermethylation of several interesting target genes, including genes of relevant signaling pathways, potentially indicating the evaluation of novel therapeutic targets.


2019 ◽  
Vol 47 (4) ◽  
pp. 997-1003 ◽  
Author(s):  
Huiming Zhang ◽  
Kang Zhang ◽  
Jian-Kang Zhu

Abstract DNA methylation at the fifth position of cytosine is a major epigenetic mark conserved in plants and mammals. Genome-wide DNA methylation patterns are dynamically controlled by integrated activities of establishment, maintenance, and removal. In both plants and mammals, a pattern of global DNA hypomethylation coupled with increased methylation levels at some specific genomic regions arises at specific developmental stages and in certain abnormal cells, such as mammalian aging cells and cancer cells as well as some plant epigenetic mutants. Here we provide an overview of this distinct DNA methylation pattern in mammals and plants, and propose that a methylstat, which is a cis-element responsive to both DNA methylation and active demethylation activities and controlling the transcriptional activity of a key DNA methylation regulator, can help to explain the enigmatic DNA methylation patterns in aging cells and cancer cells.


2020 ◽  
Vol 21 (23) ◽  
pp. 9303
Author(s):  
Sadegheh Haghshenas ◽  
Pratibha Bhai ◽  
Erfan Aref-Eshghi ◽  
Bekim Sadikovic

Mendelian neurodevelopmental disorders customarily present with complex and overlapping symptoms, complicating the clinical diagnosis. Individuals with a growing number of the so-called rare disorders exhibit unique, disorder-specific DNA methylation patterns, consequent to the underlying gene defects. Besides providing insights to the pathophysiology and molecular biology of these disorders, we can use these epigenetic patterns as functional biomarkers for the screening and diagnosis of these conditions. This review summarizes our current understanding of DNA methylation episignatures in rare disorders and describes the underlying technology and analytical approaches. We discuss the computational parameters, including statistical and machine learning methods, used for the screening and classification of genetic variants of uncertain clinical significance. Describing the rationale and principles applied to the specific computational models that are used to develop and adapt the DNA methylation episignatures for the diagnosis of rare disorders, we highlight the opportunities and challenges in this emerging branch of diagnostic medicine.


2020 ◽  
Author(s):  
Christopher E. Lietz ◽  
Erik T. Newman ◽  
Andrew D. Kelly ◽  
Santiago A. Lozano-Calderon ◽  
David H. Ebb ◽  
...  

ABSTRACTBackgroundOsteosarcoma (OSA) is an aggressive malignancy predominantly affecting children and young-adults. Genetic analysis has characterized very few recurrent mutations in OSA, and an improved understanding of interpatient tumor heterogeneity is needed for clinical management.MethodsWe analyzed genome-wide DNA methylation in primary OSA tumors from the NCI Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program (n = 83) profiled using the Illumina 450K methylation array. We tested if broad genomic methylation predicted outcomes and defined supervised methylomic signatures predictive of Recurrence Free Survival (RFS), Chemotherapy Response (CR), and Metastatic disease at Diagnosis (MetDx). We assessed methylation pattern reproducibility in two independent clinical datasets (n = 28 and 34) and in an in vitro dataset (n = 11). Correlations between genomic methylation and transcription were tested using TARGET RNA-seq data. An in silico pharmacogenomic screen was performed to identify agents for future stratified application.ResultsGenome-wide methylation defined two subgroups. Relatively hypomethylated tumors experienced better chemotherapy response (Odds Ratio = 6.429, Fisher’s p = 0.007), longer RFS (metastatic, median 2.3 vs 26.7 months, localized, median 63.5 vs 104.7 months, stratified log-rank p = 0.006), and Overall Survival (p = 5×10-4) than hypermethylated tumors. Robust genomic methylation signatures predictive of RFS and CR were defined, and the signatures’ methylation patterns were reproducible in the independent clinical and in vitro datasets. The RFS signature was enriched for intragenic sites, whereas the CR signature and clinically relevant genome-wide methylation patterns were enriched for intergenic sites. Normal-tissue-like methylation patterns were associated with poor prognosis and in vitro analysis suggested that the methylation signatures are associated with tumor aggressiveness. Downstream transcriptional analysis revealed that genes annotated to the RFS methylation signature were also predictive survival. The transcriptional program represented in the RFS signature included several critical cellular pathways, whereas the CR signature was associated with much fewer known pathways, possibly reflecting a much broader cellular “methylation state” related to chemoresponse. A pharmacogenomic screen identified potential therapies, including epigenomic modifiers, for future stratified clinical application.ConclusionGenomic methylation offers insight into patient prognosis and could be a useful tool for developing alternate adjuvant therapeutic strategies.


2007 ◽  
Vol 30 (4) ◽  
pp. 90
Author(s):  
Kirsten Niles ◽  
Sophie La Salle ◽  
Christopher Oakes ◽  
Jacquetta Trasler

Background: DNA methylation is an epigenetic modification involved in gene expression, genome stability, and genomic imprinting. In the male, methylation patterns are initially erased in primordial germ cells (PGCs) as they enter the gonadal ridge; methylation patterns are then acquired on CpG dinucleotides during gametogenesis. Correct pattern establishment is essential for normal spermatogenesis. To date, the characterization and timing of methylation pattern acquisition in PGCs has been described using a limited number of specific gene loci. This study aimed to describe DNA methylation pattern establishment dynamics during male gametogenesis through global methylation profiling techniques in a mouse model. Methods: Using a chromosome based approach, primers were designed for 24 regions spanning chromosome 9; intergenic, non-repeat, non-CpG island sequences were chosen for study based on previous evidence that these types of sequences are targets for testis-specific methylation events. The percent methylation was determined in each region by quantitative analysis of DNA methylation using real-time PCR (qAMP). The germ cell-specific pattern was determined by comparing methylation between spermatozoa and liver. To examine methylation in developing germ cells, spermatogonia from 2 day- and 6 day-old Oct4-GFP (green fluorescent protein) mice were isolated using fluorescence activated cell sorting. Results: As compared to liver, four loci were hypomethylated and five loci were hypermethylated in spermatozoa, supporting previous results indicating a unique methylation pattern in male germ cells. Only one region was hypomethylated and no regions were hypermethylated in day 6 spermatogonia as compared to mature spermatozoa, signifying that the bulk of DNA methylation is established prior to type A spermatogonia. The methylation in day 2 spermatogonia, germ cells that are just commencing mitosis, revealed differences of 15-20% compared to day 6 spermatogonia at five regions indicating that the most crucial phase of DNA methylation acquisition occurs prenatally. Conclusion: Together, these studies provide further evidence that germ cell methylation patterns differ from those in somatic tissues and suggest that much of methylation at intergenic sites is acquired during prenatal germ cell development. (Supported by CIHR)


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