Cigarette heavy smoking alters DNA methylation patterns and gene transcription levels in humans spermatozoa

Abstract Background Tobacco smoking is considered as one of the lifestyles factors that influence the sperm DNA methylation and global sperm DNA methylation and that may affect the sperm phenotype. This study was performed to investigate whether tobacco cigarette heavy smoking influences sperm DNA methylation patterns and semen parameters and to determine whether there is an alteration in the transcription level of MAPK8IP3, GAA, ANXA2, PRRC2A, and PDE11A genes in heavy smokers compared to non-smokers. Thirty samples were subjected to 450K arrays as a screening study to assess the variation in sperm DNA methylation levels between heavy smokers and non-smokers. Five CpG sites have the highest difference in methylation levels (cg07869343, cg05813498, cg09785377, cg06833981, and cg02745784), which are located in the MAPK8IP3, GAA, ANXA2, PRRC2A, and PDE11A genes, respectively, and were selected for further analysis using deep bisulfite sequencing in 280 independent samples (120 proven non-smokers and 160 heavy smokers) with a mean age of 33.8 ± 8.4 years. The global sperm DNA methylation, sperm DNA fragmentation, and chromatin non-condensation were evaluated also. Results A significant increase was found in the methylation level at seven, three, and seventeen CpGs within the GAA, ANXA2, and MAPK8IP3 genes amplicon, respectively (P< 0.01) in heavy smokers compared to non-smokers. Additionally, a significant increase was found in the methylation levels at all CpGs within PRRC2A and PDE11A gene amplicon (P< 0.01). A significant increase was found in the level of sperm chromatin non-condensation, DNA fragmentation, and global DNA methylation (P < 0.001) in heavy smokers compared to non-smokers. Conclusion These results indicate that tobacco cigarette smoking can alter the DNA methylation level at several CpGs, the status of global DNA methylation, and transcription level of the following genes “MAPK8IP3, GAA, ANXA2, PRRC2A, and PDE11A” in human spermatozoa. These findings may affect negatively semen parameters and men’s fertility.

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Examination of the dynamics of global DNA methylation pattern establishment during spermatogenesiss

Clinical & Investigative Medicine ◽

10.25011/cim.v30i4.2868 ◽

2007 ◽

Vol 30 (4) ◽

pp. 90

Author(s):

Kirsten Niles ◽

Sophie La Salle ◽

Christopher Oakes ◽

Jacquetta Trasler

Keyword(s):

Dna Methylation ◽

Germ Cell ◽

Germ Cells ◽

Epigenetic Modification ◽

Methylation Pattern ◽

Chromosome 9 ◽

Specific Gene ◽

Global Methylation ◽

Dna Methylation Pattern ◽

Methylation Patterns

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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Faculty Opinions recommendation of TET1 is a DNA-binding protein that modulates DNA methylation and gene transcription via hydroxylation of 5-methylcytosine.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.6473957.6595055 ◽

2010 ◽

Author(s):

Wolf Reik ◽

Miguel Branco

Keyword(s):

Dna Methylation ◽

Dna Binding ◽

Gene Transcription ◽

Binding Protein ◽

Dna Binding Protein

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DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association

Communications Biology ◽

10.1038/s42003-020-01469-0 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Vanessa Lakis ◽

◽

Rita T. Lawlor ◽

Felicity Newell ◽

Ann-Marie Patch ◽

...

Keyword(s):

Dna Methylation ◽

Neuroendocrine Tumors ◽

Methylation Profile ◽

Pancreatic Neuroendocrine Tumors ◽

Wild Type ◽

Genomic Information ◽

Chromosome 11 ◽

Dna Methylation Profile ◽

Methylation Patterns ◽

Recurrent Patterns

AbstractHere we report the DNA methylation profile of 84 sporadic pancreatic neuroendocrine tumors (PanNETs) with associated clinical and genomic information. We identified three subgroups of PanNETs, termed T1, T2 and T3, with distinct patterns of methylation. The T1 subgroup was enriched for functional tumors and ATRX, DAXX and MEN1 wild-type genotypes. The T2 subgroup contained tumors with mutations in ATRX, DAXX and MEN1 and recurrent patterns of chromosomal losses in half of the genome with no association between regions with recurrent loss and methylation levels. T2 tumors were larger and had lower methylation in the MGMT gene body, which showed positive correlation with gene expression. The T3 subgroup harboured mutations in MEN1 with recurrent loss of chromosome 11, was enriched for grade G1 tumors and showed histological parameters associated with better prognosis. Our results suggest a role for methylation in both driving tumorigenesis and potentially stratifying prognosis in PanNETs.

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Multi-species and multi-tissue methylation clocks for age estimation in toothed whales and dolphins

Communications Biology ◽

10.1038/s42003-021-02179-x ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Todd R. Robeck ◽

Zhe Fei ◽

Ake T. Lu ◽

Amin Haghani ◽

Eve Jourdain ◽

...

Keyword(s):

Dna Methylation ◽

Age Estimation ◽

Species Conservation ◽

Genome Wide ◽

Epigenetic Aging ◽

Highly Correlated ◽

Methylation Patterns ◽

Cg Dinucleotides ◽

Free Ranging ◽

Unique Species

AbstractThe development of a precise blood or skin tissue DNA Epigenetic Aging Clock for Odontocete (OEAC) would solve current age estimation inaccuracies for wild odontocetes. Therefore, we determined genome-wide DNA methylation profiles using a custom array (HorvathMammalMethyl40) across skin and blood samples (n = 446) from known age animals representing nine odontocete species within 4 phylogenetic families to identify age associated CG dinucleotides (CpGs). The top CpGs were used to create a cross-validated OEAC clock which was highly correlated for individuals (r = 0.94) and for unique species (median r = 0.93). Finally, we applied the OEAC for estimating the age and sex of 22 wild Norwegian killer whales. DNA methylation patterns of age associated CpGs are highly conserved across odontocetes. These similarities allowed us to develop an odontocete epigenetic aging clock (OEAC) which can be used for species conservation efforts by provide a mechanism for estimating the age of free ranging odontocetes from either blood or skin samples.

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Aging-associated distinctive DNA methylation changes of LINE-1 retrotransposons in pure cell-free DNA from human blood

Scientific Reports ◽

10.1038/s41598-020-79126-z ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Wardah Mahmood ◽

Lars Erichsen ◽

Pauline Ott ◽

Wolfgang A. Schulz ◽

Johannes C. Fischer ◽

...

Keyword(s):

Dna Methylation ◽

Cell Free Dna ◽

The Past ◽

Free Dna ◽

Genome Wide ◽

Cancerous Cell ◽

Pure Cell ◽

Epigenetic Biomarker ◽

Methylation Patterns ◽

Cancerous Cells

AbstractLINE-1 hypomethylation of cell-free DNA has been described as an epigenetic biomarker of human aging. However, in the past, insufficient differentiation between cellular and cell-free DNA may have confounded analyses of genome-wide methylation levels in aging cells. Here we present a new methodological strategy to properly and unambiguously extract DNA methylation patterns of repetitive, as well as single genetic loci from pure cell-free DNA from peripheral blood. Since this nucleic acid fraction originates mainly in apoptotic, senescent and cancerous cells, this approach allows efficient analysis of aged and cancerous cell-specific DNA methylation patterns for diagnostic and prognostic purposes. Using this methodology, we observe a significant age-associated erosion of LINE-1 methylation in cfDNA suggesting that the threshold of hypomethylation sufficient for relevant LINE-1 activation and consequential harmful retrotransposition might be reached at higher age. We speculate that this process might contribute to making aging the main risk factor for many cancers.

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