201
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Freire-Aradas A, Phillips C, Girón-Santamaría L, Mosquera-Miguel A, Gómez-Tato A, Casares de Cal MÁ, Álvarez-Dios J, Lareu MV. Tracking age-correlated DNA methylation markers in the young. Forensic Sci Int Genet 2018; 36:50-59. [PMID: 29933125 DOI: 10.1016/j.fsigen.2018.06.011] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 06/08/2018] [Accepted: 06/11/2018] [Indexed: 01/03/2023]
Abstract
DNA methylation is the most extensively studied epigenetic signature, with a large number of studies reporting age-correlated CpG sites in overlapping genes. However, most of these studies lack sample coverage of individuals under 18 years old and therefore little is known about the progression of DNA methylation patterns in children and adolescents. In the present study we aimed to select candidate age-correlated DNA methylation markers based on public datasets from Illumina BeadChip arrays and previous publications, then to explore the resulting markers in 209 blood samples from donors aged between 2 to 18 years old using the EpiTYPER® DNA methylation analysis system. Results from our analyses identified six genes highly correlated with age in the young, in particular the gene KCNAB3, which indicates its potential as a highly informative and specific age biomarker for childhood and adolescence. We outline a preliminary age prediction model based on quantile regression that uses data from the six CpG sites most strongly correlated with age ranges extended to include children and adolescents.
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Affiliation(s)
- Ana Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain.
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - Lorena Girón-Santamaría
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - Ana Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
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202
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Schäfer A, Mekker B, Mallick M, Vastolo V, Karaulanov E, Sebastian D, von der Lippen C, Epe B, Downes DJ, Scholz C, Niehrs C. Impaired DNA demethylation of C/EBP sites causes premature aging. Genes Dev 2018; 32:742-762. [PMID: 29884649 PMCID: PMC6049513 DOI: 10.1101/gad.311969.118] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 05/07/2018] [Indexed: 12/25/2022]
Abstract
Here, Schäfer et al. investigated whether DNA methylation alterations are involved in aging. Using knockout mice for adapter proteins for site-specific demethylation by TET methylcytosine dioxygenases Gadd45a and Ing1, they show that enhancer methylation can affect aging and imply that C/EBP proteins play an unexpected role in this process. Changes in DNA methylation are among the best-documented epigenetic alterations accompanying organismal aging. However, whether and how altered DNA methylation is causally involved in aging have remained elusive. GADD45α (growth arrest and DNA damage protein 45A) and ING1 (inhibitor of growth family member 1) are adapter proteins for site-specific demethylation by TET (ten-eleven translocation) methylcytosine dioxygenases. Here we show that Gadd45a/Ing1 double-knockout mice display segmental progeria and phenocopy impaired energy homeostasis and lipodystrophy characteristic of Cebp (CCAAT/enhancer-binding protein) mutants. Correspondingly, GADD45α occupies C/EBPβ/δ-dependent superenhancers and, cooperatively with ING1, promotes local DNA demethylation via long-range chromatin loops to permit C/EBPβ recruitment. The results indicate that enhancer methylation can affect aging and imply that C/EBP proteins play an unexpected role in this process. Our study suggests a causal nexus between DNA demethylation, metabolism, and organismal aging.
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Affiliation(s)
- Andrea Schäfer
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | | | | | | | | | | | - Carina von der Lippen
- Institute of Pharmacy and Biochemistry, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany
| | - Bernd Epe
- Institute of Pharmacy and Biochemistry, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany
| | - Damien J Downes
- Medical Research Council Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DS, United Kingdom
| | - Carola Scholz
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | - Christof Niehrs
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany.,German Cancer Research Center, Division of Molecular Embryology, German Cancer Research Center-Center for Molecular Biology (DKFZ-ZMBH) Alliance, 69120 Heidelberg, Germany
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203
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Pérez RF, Tejedor JR, Bayón GF, Fernández AF, Fraga MF. Distinct chromatin signatures of DNA hypomethylation in aging and cancer. Aging Cell 2018; 17:e12744. [PMID: 29504244 PMCID: PMC5946083 DOI: 10.1111/acel.12744] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2018] [Indexed: 12/21/2022] Open
Abstract
Cancer is an aging‐associated disease, but the underlying molecular links between these processes are still largely unknown. Gene promoters that become hypermethylated in aging and cancer share a common chromatin signature in ES cells. In addition, there is also global DNA hypomethylation in both processes. However, the similarity of the regions where this loss of DNA methylation occurs is currently not well characterized, and it is unknown if such regions also share a common chromatin signature in aging and cancer. To address this issue, we analyzed TCGA DNA methylation data from a total of 2,311 samples, including control and cancer cases from patients with breast, kidney, thyroid, skin, brain, and lung tumors and healthy blood, and integrated the results with histone, chromatin state, and transcription factor binding site data from the NIH Roadmap Epigenomics and ENCODE projects. We identified 98,857 CpG sites differentially methylated in aging and 286,746 in cancer. Hyper‐ and hypomethylated changes in both processes each had a similar genomic distribution across tissues and displayed tissue‐independent alterations. The identified hypermethylated regions in aging and cancer shared a similar bivalent chromatin signature. In contrast, hypomethylated DNA sequences occurred in very different chromatin contexts. DNA hypomethylated sequences were enriched at genomic regions marked with the activating histone posttranslational modification H3K4me1 in aging, while in cancer, loss of DNA methylation was primarily associated with the repressive H3K9me3 mark. Our results suggest that the role of DNA methylation as a molecular link between aging and cancer is more complex than previously thought.
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Affiliation(s)
- Raúl F. Pérez
- Nanomedicine Group; Nanomaterials and Nanotechnology Research Center (CINN-CSIC); Universidad de Oviedo; El Entrego, Asturias Spain
- Cancer Epigenetics Laboratory; Institute of Oncology of Asturias (IUOPA); Hospital Universitario Central de Asturias (HUCA); Universidad de Oviedo; Oviedo, Asturias Spain
| | - Juan Ramón Tejedor
- Cancer Epigenetics Laboratory; Institute of Oncology of Asturias (IUOPA); Hospital Universitario Central de Asturias (HUCA); Universidad de Oviedo; Oviedo, Asturias Spain
- Cáncer Epigenetics Laboratory; Fundación para la Investigación Biosanitaria de Asturias (FINBA); Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Oviedo, Asturias Spain
| | - Gustavo F. Bayón
- Cancer Epigenetics Laboratory; Institute of Oncology of Asturias (IUOPA); Hospital Universitario Central de Asturias (HUCA); Universidad de Oviedo; Oviedo, Asturias Spain
| | - Agustín F. Fernández
- Cancer Epigenetics Laboratory; Institute of Oncology of Asturias (IUOPA); Hospital Universitario Central de Asturias (HUCA); Universidad de Oviedo; Oviedo, Asturias Spain
- Cáncer Epigenetics Laboratory; Fundación para la Investigación Biosanitaria de Asturias (FINBA); Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Oviedo, Asturias Spain
| | - Mario F. Fraga
- Nanomedicine Group; Nanomaterials and Nanotechnology Research Center (CINN-CSIC); Universidad de Oviedo; El Entrego, Asturias Spain
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204
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Sziráki A, Tyshkovskiy A, Gladyshev VN. Global remodeling of the mouse DNA methylome during aging and in response to calorie restriction. Aging Cell 2018; 17:e12738. [PMID: 29575528 PMCID: PMC5946071 DOI: 10.1111/acel.12738] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/23/2018] [Indexed: 01/08/2023] Open
Abstract
Aging is characterized by numerous molecular changes, such as accumulation of molecular damage and altered gene expression, many of which are linked to DNA methylation. Here, we characterize the blood DNA methylome across 16 age groups of mice and report numerous global, region‐ and site‐specific features, as well as the associated dynamics of methylation changes. Transition of the methylome throughout lifespan was not uniform, with many sites showing accelerated changes in late life. The associated genes and promoters were enriched for aging‐related pathways, pointing to a fundamental link between DNA methylation and control of the aging process. Calorie restriction both shifted the overall methylation pattern and was accompanied by its gradual age‐related remodeling, the latter contributing to the lifespan‐extending effect. With age, both highly and poorly methylated sites trended toward intermediate levels, and aging was accompanied by an accelerated increase in entropy, consistent with damage accumulation. However, the entropy effects differed for the sites that increased, decreased and did not change methylation with age. Many sites trailed behind, whereas some followed or even exceeded the entropy trajectory and altered the developmental DNA methylation pattern. The patterns we observed in certain genomic regions were conserved between humans and mice, suggesting common principles of functional DNA methylome remodeling and its critical role in aging. The highly resolved DNA methylome remodeling provides an excellent model for understanding systemic changes that characterize the aging process.
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Affiliation(s)
- András Sziráki
- Division of Genetics; Department of Medicine; Brigham and Women's Hospital and Harvard Medical School; Boston MA USA
| | - Alexander Tyshkovskiy
- Division of Genetics; Department of Medicine; Brigham and Women's Hospital and Harvard Medical School; Boston MA USA
- Center for Data-Intensive Biomedicine and Biotechnology; Skolkovo Institute of Science and Technology; Moscow Russia
| | - Vadim N. Gladyshev
- Division of Genetics; Department of Medicine; Brigham and Women's Hospital and Harvard Medical School; Boston MA USA
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205
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Slieker RC, Relton CL, Gaunt TR, Slagboom PE, Heijmans BT. Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception. Epigenetics Chromatin 2018; 11:25. [PMID: 29848354 PMCID: PMC5975493 DOI: 10.1186/s13072-018-0191-3] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 05/21/2018] [Indexed: 12/31/2022] Open
Abstract
Background The well-established association of chronological age with changes in DNA methylation is primarily founded on the analysis of large sets of blood samples, while conclusions regarding tissue-specificity are typically based on small number of samples, tissues and CpGs. Here, we systematically investigate the tissue-specific character of age-related DNA methylation changes at the level of the CpG, functional genomic region and nearest gene in a large dataset. Results We assembled a compendium of public data, encompassing genome-wide DNA methylation data (Illumina 450k array) on 8092 samples from 16 different tissues, including 7 tissues with moderate to high sample numbers (Dataset size range 96–1202, Ntotal = 2858). In the 7 tissues (brain, buccal, liver, kidney, subcutaneous fat, monocytes and T-helper cells), we identified 7850 differentially methylated positions that gained (gain-aDMPs; cut-offs: Pbonf ≤ 0.05, effect size ≥ 2%/10 years) and 4,287 that lost DNA methylation with age (loss-aDMPs), 92% of which had not previously been reported for whole blood. The majority of all aDMPs identified occurred in one tissue only (gain-aDMPs: 85.2%; loss-aDMPs: 97.4%), an effect independent of statistical power. This striking tissue-specificity extended to both the functional genomic regions (defined by chromatin state segmentation) and the nearest gene. However, aDMPs did accumulate in regions with the same functional annotation across tissues, namely polycomb-repressed CpG islands for gain-aDMPs and regions marked by active histone modifications for loss-aDMPs. Conclusion Our analysis shows that age-related DNA methylation changes are highly tissue-specific. These results may guide the development of improved tissue-specific markers of chronological and, perhaps, biological age. Electronic supplementary material The online version of this article (10.1186/s13072-018-0191-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Roderick C Slieker
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, BS8 2BN, UK
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
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206
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Hypermethylation of MDFI promoter with NSCLC is specific for females, non-smokers and people younger than 65. Oncol Lett 2018; 15:9017-9024. [PMID: 29805634 PMCID: PMC5958687 DOI: 10.3892/ol.2018.8535] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Accepted: 01/25/2018] [Indexed: 01/03/2023] Open
Abstract
Non-small cell lung carcinoma (NSCLC) is a major subtype of lung cancer. Aberrant DNA methylation has been frequently observed in NSCLC. The aim of the present study was to investigate the role of MyoD family inhibitor (MDFI) methylation in NSCLC. Formalin-fixed paraffin-embedded tumor tissues and adjacent non-cancerous tissues were collected from a total of 111 patients with NSCLC. A methylation assay was performed using the quantitative methylation-specific polymerase chain reaction method. The percentage of methylated reference was used to represent the methylation level of the MDFI promoter. Data mining of a dataset from The Cancer Genome Atlas (TCGA) demonstrated that MDFI promoter methylation levels were significantly increased in 830 tumor tissues compared with 75 non-tumor tissues (P=0.012). However, the results on tissues obtained in the present study indicated that the MDFI promoter methylation levels in tumor tissues were not significantly different compared with those in the adjacent non-tumor tissues (P=0.159). Subsequent breakdown analysis identified that higher MDFI promoter methylation levels were significantly associated with NSCLC in females (P=0.031), but not in males (P=0.832). Age-based subgroup analysis demonstrated that higher MDFI promoter methylation levels were significantly associated with NSCLC in younger patients (≤65 years; P=0.003), but not in older patients (P=0.327). In addition, the association of MDFI methylation with NSCLC was significant in non-smokers (P=0.014), but not in smokers (P=0.832). Similar results also have been determined from subgroup analysis of the TCGA datasets. The Gene Expression Omnibus database indicated MDFI expression restoration in partial lung cancer cell lines (H1299 and Hotz) following demethylation treatment. However, it was identified that MDFI promoter hypermethylation was not significantly associated with prognosis of NSCLC (P>0.05). In conclusion, the present study indicated that the association of higher methylation of the MDFI promoter with NSCLC may be specific to females, non-smokers and people aged ≤65.
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207
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Yeh SH, Liu CL, Chang RC, Wu CC, Lin CH, Yang KD. Aging-dependent DNA hypermethylation and gene expression of GSTM1 involved in T cell differentiation. Oncotarget 2018; 8:48591-48602. [PMID: 28596482 PMCID: PMC5564710 DOI: 10.18632/oncotarget.18109] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2016] [Accepted: 05/10/2017] [Indexed: 02/04/2023] Open
Abstract
This study investigated whether aging was associated with epigenetic changes of DNA hypermethylation on immune gene expression and lymphocyte differentiation. We screened CG sites of methylation in blood leukocytes from different age populations, picked up genes with age-related increase of CG methylation content more than 15%, and validated immune related genes with CG hypermethylation involved in lymphocyte differentiation in the aged population. We found that 12 genes (EXHX1、 IL-10、 TSP50、 GSTM1、SLC5A5、SPI1、F2R、LMO2、PTPN6、FGFR2、MMP9、MET) were associated with promoter or exon one DNA hypermethylation in the aged group. Two immune related genes, GSTM1 and LMO2, were chosen to validate its aging-related CG hypermethylation in different leukocytes. We are the first to validate that GSTM1_P266 and LMO2_E128 CG methylation contents in T lymphocytes but not polymorphonuclear cells (PMNs) or mononuclear cells (MNCs) were significantly increased in the aged population. The GSTM1 mRNA expression in T lymphocytes but not PMNs or MNCs was inversely associated with the GSTM1 CG hypermethylation levels in the aged population studied. Further studies showed that lower GSTM1 CG methylation content led to the higher GSTM1 mRNA expression in T cells and knockdown of GSTM1 mRNA expression decreased type 1 T helper cell (Th1) differentiation in Jurkat T cells and normal adult CD4 T cells. The GSTM1_P266 hypermethylation in the aged population associated with lower GSTM1 mRNA expression was involved in Th1 differentiation, highlighting that modulation of aging-associated GSTM1 methylation may be able to enhance T helper cell immunity in the elders.
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Affiliation(s)
- Shu-Hui Yeh
- Graduate Institute of Long-Term Care, MacKay Medical College, New Taipei City, Taiwan
| | - Cheng-Ling Liu
- Department of Medical Research and Development, Show Chwan Memorial Hospital at Chang Bing, Changhua, Taiwan
| | - Ren-Chieh Chang
- Department of Medical Research, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chih-Chiang Wu
- Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan
| | - Chia-Hsueh Lin
- Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
| | - Kuender D Yang
- Graduate Institute of Long-Term Care, MacKay Medical College, New Taipei City, Taiwan.,Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan.,Department of Medical Research, Mackay Memorial Hospital, Taipei, Taiwan
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208
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Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, Hou L, Baccarelli AA, Stewart JD, Li Y, Whitsel EA, Wilson JG, Reiner AP, Aviv A, Lohman K, Liu Y, Ferrucci L, Horvath S. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY) 2018; 10:573-591. [PMID: 29676998 PMCID: PMC5940111 DOI: 10.18632/aging.101414] [Citation(s) in RCA: 1454] [Impact Index Per Article: 242.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 04/08/2018] [Indexed: 04/08/2023]
Abstract
Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. Using an innovative two-step process, we develop a new epigenetic biomarker of aging, DNAm PhenoAge, that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease. While this biomarker was developed using data from whole blood, it correlates strongly with age in every tissue and cell tested. Based on an in-depth transcriptional analysis in sorted cells, we find that increased epigenetic, relative to chronological age, is associated with increased activation of pro-inflammatory and interferon pathways, and decreased activation of transcriptional/translational machinery, DNA damage response, and mitochondrial signatures. Overall, this single epigenetic biomarker of aging is able to capture risks for an array of diverse outcomes across multiple tissues and cells, and provide insight into important pathways in aging.
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Affiliation(s)
- Morgan E. Levine
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Ake T. Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Austin Quach
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Brian H. Chen
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, USA. Baltimore, MD 21224, USA
| | | | | | - Lifang Hou
- Center for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Andrea A. Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - James D. Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Yun Li
- Department of Genetics, Department of Biostatistics, Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Alex P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Rutgers State University of New Jersey, Newark, NJ 07103, USA
| | - Kurt Lohman
- Center of Human Development and Aging, New Jersey Medical School, Rutgers State University of New Jersey, Newark, NJ 07103, USA
| | - Yongmei Liu
- Department of Epidemiology & Prevention, Division of Public Health Sciences, Wake Forrest School of Medicine, Winston-Salem, NC 27157, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, USA. Baltimore, MD 21224, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
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209
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Vogt TJ, Gevensleben H, Dietrich J, Kristiansen G, Bootz F, Landsberg J, Goltz D, Dietrich D. Detailed analysis of adenosine A2a receptor ( ADORA2A) and CD73 (5'-nucleotidase, ecto, NT5E) methylation and gene expression in head and neck squamous cell carcinoma patients. Oncoimmunology 2018; 7:e1452579. [PMID: 30221045 PMCID: PMC6136855 DOI: 10.1080/2162402x.2018.1452579] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 03/07/2018] [Accepted: 03/09/2018] [Indexed: 12/15/2022] Open
Abstract
Background: The adenosine A2a receptor (A2aR) and the adenosine synthesizing enzyme CD73 have recently evolved as a novel immunotherapeutic target. However, little is known about epigenetic modification of the encoding genes ADORA2A and NT5E. Methods: In the present study, we evaluated methylation at 23 loci of ADORA2A and 17 loci of NT5E with regard to transcriptional activity, human papilloma virus (HPV) status, immune cell infiltration, and outcome in a cohort of 279 head and neck squamous carcinoma (HNSCC) patients obtained from The Cancer Genome Atlas (TCGA). Methylation and mRNA expression were generated by the Infinium HumanMethylation450 BeadChip and Illumina HiSeq 2000 RNA Sequencing Version 2 analysis (Illumina, Inc., San Diego, CA, USA). HPV status was assessed by RNA-Seq data analysis of the viral genes E6 and E7. Results: Thirteen out of 23 ADORA2A loci and 15/17 NT5E loci were significantly correlated with mRNA levels (p < 0.05). Inverse correlations were predominately found in promoter regions, while positive correlations were more profound at intragenic loci. ADORA2A hypermethylation was significantly associated with poor overall survival (OS, p ≤ 0.030), whereas NT5E hypomethylation was associated with decreased OS in HPV-positive tumors (p ≤ 0.024) and increased OS in HPV-negative HNSCC (p ≤ 0.029). Further, we found significant correlations between methylation and immune cell infiltrates. Conclusion: Our data might point towards a significant role of the A2aR/CD73 axis during cancer progression in HNSCC.
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Affiliation(s)
- Timo J. Vogt
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Bonn, Bonn, Germany
| | | | - Jörn Dietrich
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Bonn, Bonn, Germany
| | | | - Friedrich Bootz
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Bonn, Bonn, Germany
| | | | | | - Dimo Dietrich
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Bonn, Bonn, Germany
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210
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Ray D, Yung R. Immune senescence, epigenetics and autoimmunity. Clin Immunol 2018; 196:59-63. [PMID: 29654845 DOI: 10.1016/j.clim.2018.04.002] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 04/05/2018] [Accepted: 04/05/2018] [Indexed: 12/17/2022]
Abstract
Aging of the immune system in humans and animals is characterized by a decline in both adaptive and innate immune responses. Paradoxically, aging is also associated with a state of chronic inflammation ("inflammaging") and an increased likelihood of developing autoimmune diseases. Epigenetic changes in non-dividing and dividing cells, including immune cells, due to environmental factors contribute to the inflammation and autoimmunity that characterize both the state and diseases of aging. Here, we review the epigenetic mechanisms involved in the development of immune senescence and autoimmunity in old age.
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Affiliation(s)
- Donna Ray
- Division of Rheumatology, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, United States
| | - Raymond Yung
- Division of Geriatric and Palliative Medicine, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, United States.
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211
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Lowe R, Barton C, Jenkins CA, Ernst C, Forman O, Fernandez-Twinn DS, Bock C, Rossiter SJ, Faulkes CG, Ozanne SE, Walter L, Odom DT, Mellersh C, Rakyan VK. Ageing-associated DNA methylation dynamics are a molecular readout of lifespan variation among mammalian species. Genome Biol 2018; 19:22. [PMID: 29452591 PMCID: PMC5815211 DOI: 10.1186/s13059-018-1397-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 01/19/2018] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Mammalian species exhibit a wide range of lifespans. To date, a robust and dynamic molecular readout of these lifespan differences has not yet been identified. Recent studies have established the existence of ageing-associated differentially methylated positions (aDMPs) in human and mouse. These are CpG sites at which DNA methylation dynamics show significant correlations with age. We hypothesise that aDMPs are pan-mammalian and are a dynamic molecular readout of lifespan variation among different mammalian species. RESULTS A large-scale integrated analysis of aDMPs in six different mammals reveals a strong negative relationship between rate of change of methylation levels at aDMPs and lifespan. This relationship also holds when comparing two different dog breeds with known differences in lifespans. In an ageing cohort of aneuploid mice carrying a complete copy of human chromosome 21, aDMPs accumulate far more rapidly than is seen in human tissues, revealing that DNA methylation at aDMP sites is largely shaped by the nuclear trans-environment and represents a robust molecular readout of the ageing cellular milieu. CONCLUSIONS Overall, we define the first dynamic molecular readout of lifespan differences among mammalian species and propose that aDMPs will be an invaluable molecular tool for future evolutionary and mechanistic studies aimed at understanding the biological factors that determine lifespan in mammals.
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Affiliation(s)
- Robert Lowe
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK.
| | - Carl Barton
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK
| | | | - Christina Ernst
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Oliver Forman
- Kennel Club Genetics Centre, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
| | - Denise S Fernandez-Twinn
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
- Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany
- Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases, Vienna, Austria
| | - Stephen J Rossiter
- School of Biological & Chemical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK
| | - Chris G Faulkes
- School of Biological & Chemical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK
| | - Susan E Ozanne
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Lutz Walter
- Primate Genetics Laboratory, Leibniz Institute for Primate Research, German Primate Center, Göttingen, Germany
| | - Duncan T Odom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Cathryn Mellersh
- Kennel Club Genetics Centre, Animal Health Trust, Newmarket, Suffolk, CB8 7UU, UK
| | - Vardhman K Rakyan
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK.
- Centre for Genomic Health, Queen Mary University of London, EC1M 6BQ, London, UK.
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212
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Xie W, Kagiampakis I, Pan L, Zhang YW, Murphy L, Tao Y, Kong X, Kang B, Xia L, Carvalho FLF, Sen S, Chiu Yen RW, Zahnow CA, Ahuja N, Baylin SB, Easwaran H. DNA Methylation Patterns Separate Senescence from Transformation Potential and Indicate Cancer Risk. Cancer Cell 2018; 33:309-321.e5. [PMID: 29438699 PMCID: PMC5813821 DOI: 10.1016/j.ccell.2018.01.008] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 10/24/2017] [Accepted: 01/17/2018] [Indexed: 01/08/2023]
Abstract
Overall shared DNA methylation patterns between senescence (Sen) and cancers have led to the model that tumor-promoting epigenetic patterns arise through senescence. We show that transformation-associated methylation changes arise stochastically and independently of programmatic changes during senescence. Promoter hypermethylation events in transformation involve primarily pro-survival and developmental genes, similarly modified in primary tumors. Senescence-associated hypermethylation mainly involves metabolic regulators and appears early in proliferating "near-senescent" cells, which can be immortalized but are refractory to transformation. Importantly, a subset of transformation-associated hypermethylated developmental genes exhibits highest methylation gains at all age-associated cancer risk states across tissue types. These epigenetic changes favoring cell self-renewal and survival, arising during tissue aging, are fundamentally important for stratifying cancer risk and concepts for cancer prevention.
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Affiliation(s)
- Wenbing Xie
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Ioannis Kagiampakis
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Lixia Pan
- Laboratory of Biochemistry and Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yang W Zhang
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Lauren Murphy
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yong Tao
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Xiangqian Kong
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Byunghak Kang
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Limin Xia
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Filipe L F Carvalho
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Subhojit Sen
- UM-DAE Center for Excellence in Basic Sciences (CBS), Mumbai University, Mumbai 400098, India
| | - Ray-Whay Chiu Yen
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Cynthia A Zahnow
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Nita Ahuja
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Stephen B Baylin
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
| | - Hariharan Easwaran
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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213
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Jasiulionis MG. Abnormal Epigenetic Regulation of Immune System during Aging. Front Immunol 2018; 9:197. [PMID: 29483913 PMCID: PMC5816044 DOI: 10.3389/fimmu.2018.00197] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 01/23/2018] [Indexed: 12/15/2022] Open
Abstract
Epigenetics refers to the study of mechanisms controlling the chromatin structure, which has fundamental role in the regulation of gene expression and genome stability. Epigenetic marks, such as DNA methylation and histone modifications, are established during embryonic development and epigenetic profiles are stably inherited during mitosis, ensuring cell differentiation and fate. Under the effect of intrinsic and extrinsic factors, such as metabolic profile, hormones, nutrition, drugs, smoke, and stress, epigenetic marks are actively modulated. In this sense, the lifestyle may affect significantly the epigenome, and as a result, the gene expression profile and cell function. Epigenetic alterations are a hallmark of aging and diseases, such as cancer. Among biological systems compromised with aging is the decline of immune response. Different regulators of immune response have their promoters and enhancers susceptible to the modulation by epigenetic marks, which is fundamental to the differentiation and function of immune cells. Consistent evidence has showed the regulation of innate immune cells, and T and B lymphocytes by epigenetic mechanisms. Therefore, age-dependent alterations in epigenetic marks may result in the decline of immune function and this might contribute to the increased incidence of diseases in old people. In order to maintain health, we need to better understand how to avoid epigenetic alterations related to immune aging. In this review, the contribution of epigenetic mechanisms to the loss of immune function during aging will be discussed, and the promise of new means of disease prevention and management will be pointed.
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Affiliation(s)
- Miriam G Jasiulionis
- Laboratory of Ontogeny and Epigenetics, Pharmacology Department, Universidade Federal de São Paulo, São Paulo, Brazil
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214
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Masser DR, Hadad N, Porter H, Stout MB, Unnikrishnan A, Stanford DR, Freeman WM. Analysis of DNA modifications in aging research. GeroScience 2018; 40:11-29. [PMID: 29327208 PMCID: PMC5832665 DOI: 10.1007/s11357-018-0005-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 01/05/2018] [Indexed: 12/22/2022] Open
Abstract
As geroscience research extends into the role of epigenetics in aging and age-related disease, researchers are being confronted with unfamiliar molecular techniques and data analysis methods that can be difficult to integrate into their work. In this review, we focus on the analysis of DNA modifications, namely cytosine methylation and hydroxymethylation, through next-generation sequencing methods. While older techniques for modification analysis performed relative quantitation across regions of the genome or examined average genome levels, these analyses lack the desired specificity, rigor, and genomic coverage to firmly establish the nature of genomic methylation patterns and their response to aging. With recent methodological advances, such as whole genome bisulfite sequencing (WGBS), bisulfite oligonucleotide capture sequencing (BOCS), and bisulfite amplicon sequencing (BSAS), cytosine modifications can now be readily analyzed with base-specific, absolute quantitation at both cytosine-guanine dinucleotide (CG) and non-CG sites throughout the genome or within specific regions of interest by next-generation sequencing. Additional advances, such as oxidative bisulfite conversion to differentiate methylation from hydroxymethylation and analysis of limited input/single-cells, have great promise for continuing to expand epigenomic capabilities. This review provides a background on DNA modifications, the current state-of-the-art for sequencing methods, bioinformatics tools for converting these large data sets into biological insights, and perspectives on future directions for the field.
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Affiliation(s)
- Dustin R Masser
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Nathan Shock Center for Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Niran Hadad
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Nathan Shock Center for Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Hunter Porter
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Nathan Shock Center for Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Michael B Stout
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Nutritional Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Archana Unnikrishnan
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - David R Stanford
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Willard M Freeman
- Reynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Oklahoma Nathan Shock Center for Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
- Department of Nutritional Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
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215
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Loomba R, Gindin Y, Jiang Z, Lawitz E, Caldwell S, Djedjos CS, Xu R, Chung C, Myers RP, Subramanian GM, Goodman Z, Charlton M, Afdhal NH, Diehl AM. DNA methylation signatures reflect aging in patients with nonalcoholic steatohepatitis. JCI Insight 2018; 3:96685. [PMID: 29367468 DOI: 10.1172/jci.insight.96685] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 11/21/2017] [Indexed: 01/04/2023] Open
Abstract
A DNA methylation (DNAm) signature (the "Horvath clock") has been proposed as a measure of human chronological and biological age. We determined peripheral blood DNAm in patients with nonalcoholic steatohepatitis (NASH) and assessed whether accelerated aging occurs in these patients. DNAm signatures were obtained in patients with biopsy-proven NASH and stage 2-3 fibrosis. The DNAm profile from one test and two validation cohorts served as controls. Age acceleration was calculated as the difference between DNAm age and the predicted age based on the linear model derived from controls. Hepatic collagen content was assessed by quantitative morphometry. The Horvath clock accurately predicts the chronological age of the entire cohort. Age acceleration was observed among NASH subjects compared with control data sets and our test controls. Age acceleration in NASH subjects did not differ by fibrosis stage but correlated with hepatic collagen content. A set of 152 differentially methylated CpG islands between NASH subjects and controls identified gene set enrichment for transcription factors and developmental pathways. Patients with NASH exhibit epigenetic age acceleration that correlates with hepatic collagen content.
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Affiliation(s)
- Rohit Loomba
- University of California, San Diego, La Jolla, California, USA
| | | | | | - Eric Lawitz
- Texas Liver Institute, University of Texas Health Science Center, San Antonio, Texas, USA
| | | | | | - Ren Xu
- Gilead Sciences Inc., Foster City, California, USA
| | - Chuhan Chung
- Gilead Sciences Inc., Foster City, California, USA
| | | | | | | | | | - Nezam H Afdhal
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Anna Mae Diehl
- Duke Clinical Research Institute, Durham, North Carolina, USA
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216
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Crime investigation through DNA methylation analysis: methods and applications in forensics. EGYPTIAN JOURNAL OF FORENSIC SCIENCES 2018. [DOI: 10.1186/s41935-018-0042-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
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217
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Ravaioli F, Bacalini MG, Franceschi C, Garagnani P. Age-Related Epigenetic Derangement upon Reprogramming and Differentiation of Cells from the Elderly. Genes (Basel) 2018; 9:genes9010039. [PMID: 29337900 PMCID: PMC5793190 DOI: 10.3390/genes9010039] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 12/22/2017] [Accepted: 01/10/2018] [Indexed: 01/01/2023] Open
Abstract
Aging is a complex multi-layered phenomenon. The study of aging in humans is based on the use of biological material from hard-to-gather tissues and highly specific cohorts. The introduction of cell reprogramming techniques posed promising features for medical practice and basic research. Recently, a growing number of studies have been describing the generation of induced pluripotent stem cells (iPSCs) from old or centenarian biologic material. Nonetheless, Reprogramming techniques determine a profound remodelling on cell epigenetic architecture whose extent is still largely debated. Given that cell epigenetic profile changes with age, the study of cell-fate manipulation approaches on cells deriving from old donors or centenarians may provide new insights not only on regenerative features and physiology of these cells, but also on reprogramming-associated and age-related epigenetic derangement.
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Affiliation(s)
- Francesco Ravaioli
- Department of Specialty, Diagnostic and Experimental Medicine (DIMES), Via San Giacomo 12, 40126 Bologna, Italy.
- CIG, Interdepartmental Center 'L. Galvani', Alma Mater Studiorum, Via G. Petroni 26, 40126 Bologna, Italy.
| | - Maria G Bacalini
- IRCCS Institute of Neurological Sciences, Via Altura 1-8, 40139 Bologna, Italy.
| | - Claudio Franceschi
- IRCCS Institute of Neurological Sciences, Via Altura 1-8, 40139 Bologna, Italy.
| | - Paolo Garagnani
- Department of Specialty, Diagnostic and Experimental Medicine (DIMES), Via San Giacomo 12, 40126 Bologna, Italy.
- CIG, Interdepartmental Center 'L. Galvani', Alma Mater Studiorum, Via G. Petroni 26, 40126 Bologna, Italy.
- Karolinska Institute, Clinical Chemistry, Department of Laboratory Medicine (LABMED), H5, Huddinge University Hospital, 14186 Stockholm, Sweden.
- CNR Institute of Molecular Genetics, Unit of Bologna, 40136 Bologna, Italy.
- Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, 40138 Bologna, Italy.
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218
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Declerck K, Vanden Berghe W. Back to the future: Epigenetic clock plasticity towards healthy aging. Mech Ageing Dev 2018; 174:18-29. [PMID: 29337038 DOI: 10.1016/j.mad.2018.01.002] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 01/08/2018] [Accepted: 01/10/2018] [Indexed: 12/22/2022]
Abstract
Aging is the most important risk factor for major human lifestyle diseases, including cancer, neurological and cardiometabolic disorders. Due to the complex interplay between genetics, lifestyle and environmental factors, some individuals seem to age faster than others, whereas centenarians seem to have a slower aging process. Therefore, a biochemical biomarker reflecting the relative biological age would be helpful to predict an individual's health status and aging disease risk. Although it is already known for years that cumulative epigenetic changes occur upon aging, DNA methylation patterns were only recently used to construct an epigenetic clock predictor for biological age, which is a measure of how well your body functions compared to your chronological age. Moreover, the epigenetic DNA methylation clock signature is increasingly applied as a biomarker to estimate aging disease susceptibility and mortality risk. Finally, the epigenetic clock signature could be used as a lifestyle management tool to monitor healthy aging, to evaluate preventive interventions against chronic aging disorders and to extend healthy lifespan. Dissecting the mechanism of the epigenetic aging clock will yield valuable insights into the aging process and how it can be manipulated to improve health span.
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Affiliation(s)
- Ken Declerck
- Laboratory of Protein Chemistry, Proteomics and Epigenetic Signaling (PPES), Department of Biomedical Sciences, University of Antwerp (UA), Belgium
| | - Wim Vanden Berghe
- Laboratory of Protein Chemistry, Proteomics and Epigenetic Signaling (PPES), Department of Biomedical Sciences, University of Antwerp (UA), Belgium.
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219
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Linking DNA Damage and Age-Related Promoter DNA Hyper-Methylation in the Intestine. Genes (Basel) 2018; 9:genes9010017. [PMID: 29303998 PMCID: PMC5793170 DOI: 10.3390/genes9010017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 12/21/2017] [Accepted: 12/21/2017] [Indexed: 12/22/2022] Open
Abstract
Aberrant DNA methylation in stem cells is a hallmark of aging and tumor development. Here, we explore whether and how DNA damage repair might impact on these time-dependent changes, in particular in proliferative intestinal stem cells. We introduce a 3D multiscale computer model of intestinal crypts enabling simulation of aberrant DNA and histone methylation of gene promoters during aging. We assume histone state-dependent activity of de novo DNA methyltransferases (DNMTs) and methylation-dependent binding of maintenance DNMTs to CpGs. We simulate aging with and without repeated DNA repair. Motivated by recent findings on the histone demethylase KDM2b, we consider that DNA repair is associated with chromatin opening and improved recruitment of de novo DNMTs. Our results suggest that methylation-dependent binding of maintenance DNMTs to CpGs, establishing bistable DNA methylation states, is a prerequisite to promoter hyper-methylation following DNA repair. With this, the transient increase in de novo DNMT activity during repair can induce switches from low to high methylation states. These states remain stable after repair, leading to an epigenetic drift. The switches are most frequent in genes with H3K27me3 modified promoters. Our model provides a mechanistic explanation on how even successful DNA repair might confer long term changes of the epigenome.
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220
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Abstract
As the popular adage goes, all diseases run into old age and almost all physiological changes are associated with alterations in gene expression, irrespective of whether they are causal or consequential. Therefore, the quest for mechanisms that delay ageing and decrease age-associated diseases has propelled researchers to unravel regulatory factors that lead to changes in chromatin structure and function, which ultimately results in deregulated gene expression. It is therefore essential to bring together literature, which until recently has investigated gene expression and chromatin independently. With advances in biomedical research and the emergence of epigenetic regulators as potential therapeutic targets, enhancing our understanding of mechanisms that 'derail' transcription and identification of causal genes/pathways during ageing will have a significant impact. In this context, this chapter aims to not only summarize the key features of age-associated changes in epigenetics and transcription, but also identifies gaps in the field and proposes aspects that need to be investigated in the future.
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221
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Costantino S, Camici GG, Mohammed SA, Volpe M, Lüscher TF, Paneni F. Epigenetics and cardiovascular regenerative medicine in the elderly. Int J Cardiol 2018; 250:207-214. [DOI: 10.1016/j.ijcard.2017.09.188] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 09/22/2017] [Indexed: 12/21/2022]
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222
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Willmer T, Johnson R, Louw J, Pheiffer C. Blood-Based DNA Methylation Biomarkers for Type 2 Diabetes: Potential for Clinical Applications. Front Endocrinol (Lausanne) 2018; 9:744. [PMID: 30564199 PMCID: PMC6288427 DOI: 10.3389/fendo.2018.00744] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 11/23/2018] [Indexed: 12/22/2022] Open
Abstract
Type 2 diabetes (T2D) is a leading cause of death and disability worldwide. It is a chronic metabolic disorder that develops due to an interplay of genetic, lifestyle, and environmental factors. The biological onset of the disease occurs long before clinical symptoms develop, thus the search for early diagnostic and prognostic biomarkers, which could facilitate intervention strategies to prevent or delay disease progression, has increased considerably in recent years. Epigenetic modifications represent important links between genetic, environmental and lifestyle cues and increasing evidence implicate altered epigenetic marks such as DNA methylation, the most characterized and widely studied epigenetic mechanism, in the pathogenesis of T2D. This review provides an update of the current status of DNA methylation as a biomarker for T2D. Four databases, Scopus, Pubmed, Cochrane Central, and Google Scholar were searched for studies investigating DNA methylation in blood. Thirty-seven studies were identified, and are summarized with respect to population characteristics, biological source, and method of DNA methylation quantification (global, candidate gene or genome-wide). We highlight that differential methylation of the TCF7L2, KCNQ1, ABCG1, TXNIP, PHOSPHO1, SREBF1, SLC30A8, and FTO genes in blood are reproducibly associated with T2D in different population groups. These genes should be prioritized and replicated in longitudinal studies across more populations in future studies. Finally, we discuss the limitations faced by DNA methylation studies, which include including interpatient variability, cellular heterogeneity, and lack of accounting for study confounders. These limitations and challenges must be overcome before the implementation of blood-based DNA methylation biomarkers into a clinical setting. We emphasize the need for longitudinal prospective studies to support the robustness of the current findings of this review.
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Affiliation(s)
- Tarryn Willmer
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg, South Africa
- *Correspondence: Tarryn Willmer
| | - Rabia Johnson
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg, South Africa
- Division of Medical Physiology, Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Johan Louw
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg, South Africa
- Department of Biochemistry and Microbiology, University of Zululand, Kwa-Dlangezwa, South Africa
| | - Carmen Pheiffer
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg, South Africa
- Division of Medical Physiology, Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa
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223
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Abstract
Systems biology is an approach to collect high-dimensional data and analyze in an integrated manner. As aging is a complicated physiological functional decline in biological system, the methods in systems biology could be utilized in aging studies. Here we reviewed recent advances in systems biology in aging research and divide them into two major parts. One is the data resource, which includes omics data from DNA, RNA, proteins, epigenetic changes, metabolisms, and recently single-cell-level variations. The other is the data analysis methods consisting of network and modeling approaches. With all the data and the tools to analyze them, we could further promote our understanding of the systematic aging.
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224
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A network-based meta-analysis for characterizing the genetic landscape of human aging. Biogerontology 2017; 19:81-94. [PMID: 29270911 PMCID: PMC5765210 DOI: 10.1007/s10522-017-9741-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 12/01/2017] [Indexed: 01/22/2023]
Abstract
Great amounts of omics data are generated in aging research, but their diverse and partly complementary nature requires integrative analysis approaches for investigating aging processes and connections to age-related diseases. To establish a broader picture of the genetic and epigenetic landscape of human aging we performed a large-scale meta-analysis of 6600 human genes by combining 35 datasets that cover aging hallmarks, longevity, changes in DNA methylation and gene expression, and different age-related diseases. To identify biological relationships between aging-associated genes we incorporated them into a protein interaction network and characterized their network neighborhoods. In particular, we computed a comprehensive landscape of more than 1000 human aging clusters, network regions where genes are highly connected and where gene products commonly participate in similar processes. In addition to clusters that capture known aging processes such as nutrient-sensing and mTOR signaling, we present a number of clusters with a putative functional role in linking different aging processes as promising candidates for follow-up studies. To enable their detailed exploration, all datasets and aging clusters are made freely available via an interactive website (https://gemex.eurac.edu/bioinf/age/).
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225
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De Paoli-Iseppi R, Polanowski AM, McMahon C, Deagle BE, Dickinson JL, Hindell MA, Jarman SN. DNA methylation levels in candidate genes associated with chronological age in mammals are not conserved in a long-lived seabird. PLoS One 2017; 12:e0189181. [PMID: 29216256 PMCID: PMC5720723 DOI: 10.1371/journal.pone.0189181] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 11/19/2017] [Indexed: 11/18/2022] Open
Abstract
Most seabirds do not have any outward identifiers of their chronological age, so estimation of seabird population age structure generally requires expensive, long-term banding studies. We investigated the potential to use a molecular age biomarker to estimate age in short-tailed shearwaters (Ardenna tenuirostris). We quantified DNA methylation in several A. tenuirostris genes that have shown age-related methylation changes in mammals. In birds ranging from chicks to 21 years of age, bisulphite treated blood and feather DNA was sequenced and methylation levels analysed in 67 CpG sites in 13 target gene regions. From blood samples, five of the top relationships with age were identified in KCNC3 loci (CpG66: R2 = 0.325, p = 0.019). In feather samples ELOVL2 (CpG42: R2 = 0.285, p = 0.00048) and EDARADD (CpG46: R2 = 0.168, p = 0.0067) were also weakly correlated with age. However, the majority of markers had no clear association with age (of 131 comparisons only 12 had a p-value < 0.05) and statistical analysis using a penalised lasso approach did not produce an accurate ageing model. Our data indicate that some age-related signatures identified in orthologous mammalian genes are not conserved in the long-lived short tailed shearwater. Alternative molecular approaches will be required to identify a reliable biomarker of chronological age in these seabirds.
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Affiliation(s)
- Ricardo De Paoli-Iseppi
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
- Australian Antarctic Division, Hobart, Tasmania, Australia
- * E-mail:
| | | | - Clive McMahon
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
- Sydney Institute of Marine Science, Sydney, New South Wales, Australia
| | | | - Joanne L. Dickinson
- Cancer, Genetics and Immunology Group, Menzies Institute for Medical Research Tasmania, Hobart, Tasmania, Australia
| | - Mark A. Hindell
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
| | - Simon N. Jarman
- Trace and Environmental DNA (TrEnD) laboratory, Department of Environment and Agriculture, Curtin University, Perth, WA, Australia
- CSIRO Indian Ocean Marine Research Centre, The University of Western Australia, Perth, WA, Australia
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226
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Song MA, Brasky TM, Weng DY, McElroy JP, Marian C, Higgins MJ, Ambrosone C, Spear SL, Llanos AA, Kallakury BVS, Freudenheim JL, Shields PG. Landscape of genome-wide age-related DNA methylation in breast tissue. Oncotarget 2017; 8:114648-114662. [PMID: 29383109 PMCID: PMC5777721 DOI: 10.18632/oncotarget.22754] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 11/06/2017] [Indexed: 12/15/2022] Open
Abstract
Despite known age-related DNA methylation (aDNAm) changes in breast tumors, little is known about aDNAm in normal breast tissues. Breast tissues from a cross-sectional study of 121 cancer-free women, were assayed for genome-wide DNA methylation. mRNA expression was assayed by microarray technology. Analysis of covariance was used to identify aDNAm’s. Altered methylation was correlated with expression of the corresponding gene and with DNA methyltransferase protein DNMT3A, assayed by immunohistochemistry. Publically-available TCGA-BRCA data were used for replication. 1,214 aDNAm’s were identified; 97% with increased methylation, and all on autosomes. Sites with increased methylation were predominantly in CpG lslands and non-enhancers. aDNAm’s with decreased methylation were generally located in intergenic regions, non-CpG Islands, and enhancers. Of the aDNAm’s identified, 650 are known to be involved in cancer, including ESR1 and beta-estradiol responsive genes. Expression of DNMT3A was positively associated with age. Two aDNAm’s showed borderline significant associations with DNMT3A expression; KRR1 (OR 6.57, 95% CI: 2.51–17.23) and DHRS12 (OR 6.08, 95% CI: 2.33–15.86). A subset of aDNAm’s co-localized within vulnerable regions for somatic mutations in cancers including breast cancer. Expression of C19orf48 was inversely and significantly correlated with its methylation level. In the TCGA dataset, 84% and 64% of the previously identified aDNAm’s were correlated with age in both normal-adjacent and tumor breast tissues, with differential associations by histological subtype. Given the similarity of findings in the breast tissues of healthy women and breast tumors, aDNAm’s may be one pathway for increased breast cancer risk with age.
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Affiliation(s)
- Min-Ae Song
- Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.,College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Theodore M Brasky
- Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA
| | - Daniel Y Weng
- Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA
| | - Joseph P McElroy
- Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA.,Center for Biostatistics and Department of Bioinformatics, The Ohio State University, Columbus, OH, USA
| | - Catalin Marian
- Biochemistry and Pharmacology Department, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | - Michael J Higgins
- Department of Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Christine Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Scott L Spear
- Department of Plastic Surgery, Georgetown University, Washington, DC, USA
| | - Adana A Llanos
- Department of Epidemiology, Rutgers School of Public Health and Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | | | - Jo L Freudenheim
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Peter G Shields
- Comprehensive Cancer Center, The Ohio State University and James Cancer Hospital, Columbus, OH, USA
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227
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Common DNA methylation alterations of Alzheimer's disease and aging in peripheral whole blood. Oncotarget 2017; 7:19089-98. [PMID: 26943045 PMCID: PMC4991367 DOI: 10.18632/oncotarget.7862] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Accepted: 02/23/2016] [Indexed: 12/23/2022] Open
Abstract
Alzheimer's disease (AD) is a common aging-related neurodegenerative illness. Recently, many studies have tried to identify AD- or aging-related DNA methylation (DNAm) biomarkers from peripheral whole blood (PWB). However, the origin of PWB biomarkers is still controversial. In this study, by analyzing 2565 DNAm profiles for PWB and brain tissue, we showed that aging-related DNAm CpGs (Age-CpGs) and AD-related DNAm CpGs (AD-CpGs) observable in PWB both mainly reflected DNAm alterations intrinsic in leukocyte subtypes rather than methylation differences introduced by the increased ratio of myeloid to lymphoid cells during aging or AD progression. The PWB Age-CpGs and AD-CpGs significantly overlapped 107 sites (P-value = 2.61×10−12) and 97 had significantly concordant methylation alterations in AD and aging (P-value < 2.2×10−16), which were significantly enriched in nervous system development, neuron differentiation and neurogenesis. More than 60.8% of these 97 concordant sites were found to be significantly correlated with age in normal peripheral CD4+ T cells and CD14+ monocytes as well as in four brain regions, and 44 sites were also significantly differentially methylated in different regions of AD brain tissue. Taken together, the PWB DNAm alterations related to both aging and AD could be exploited for identification of AD biomarkers.
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228
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Jylhävä J, Kananen L, Raitanen J, Marttila S, Nevalainen T, Hervonen A, Jylhä M, Hurme M. Methylomic predictors demonstrate the role of NF-κB in old-age mortality and are unrelated to the aging-associated epigenetic drift. Oncotarget 2017; 7:19228-41. [PMID: 27015559 PMCID: PMC4991378 DOI: 10.18632/oncotarget.8278] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 03/10/2016] [Indexed: 01/24/2023] Open
Abstract
Changes in the DNA methylation (DNAm) landscape have been implicated in aging and cellular senescence. To unravel the role of specific DNAm patterns in late-life survival, we performed genome-wide methylation profiling in nonagenarians (n=111) and determined the performance of the methylomic predictors and conventional risk markers in a longitudinal setting. The survival model containing only the methylomic markers was superior in terms of predictive accuracy compared with the model containing only the conventional predictors or the model containing conventional predictors combined with the methylomic markers. At the 2.55-year follow-up, we identified 19 mortality-associated (false-discovery rate <0.5) CpG sites that mapped to genes functionally clustering around the nuclear factor kappa B (NF-κB) complex. Interestingly, none of the mortality-associated CpG sites overlapped with the established aging-associated DNAm sites. Our results are in line with previous findings on the role of NF-κB in controlling animal life spans and demonstrate the role of this complex in human longevity.
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Affiliation(s)
- Juulia Jylhävä
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Laura Kananen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Jani Raitanen
- School of Health Sciences, University of Tampere, Tampere, Finland.,UKK Institute for Health Promotion Research, Tampere, Finland
| | - Saara Marttila
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Tapio Nevalainen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Antti Hervonen
- Gerontology Research Center, University of Tampere, Tampere, Finland.,School of Health Sciences, University of Tampere, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center, University of Tampere, Tampere, Finland.,School of Health Sciences, University of Tampere, Tampere, Finland
| | - Mikko Hurme
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland.,Fimlab Laboratories, Tampere, Finland
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229
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He Z, Zhang R, Jiang F, Hou W, Hu C. Role of genetic and environmental factors in DNA methylation of lipid metabolism. Genes Dis 2017; 5:9-15. [PMID: 30258929 PMCID: PMC6146210 DOI: 10.1016/j.gendis.2017.11.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 11/17/2017] [Indexed: 12/26/2022] Open
Abstract
A number of recent studies revealed that DNA methylation plays a central role in the regulation of lipid metabolism. DNA methylation modifications are important regulators of transcriptional networks that do not affect the DNA sequence and can translate genetic variants and environmental factors into phenotypic traits. Therefore, elucidating the factors that underlie inter-individual DNA methylation variations gives us an opportunity to predict diseases and interfere with the establishment of aberrant DNA methylation early. In this review, we summarize the findings of DNA methylation-related studies focused on unravelling the potential role of genetic and environmental factors in DNA methylation and the regulatory effect of DNA methylation on gene expression in lipid metabolism.
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Affiliation(s)
- Zhen He
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Feng Jiang
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wenjing Hou
- Fengxian Central Hospital, Affiliated to Southern Medical University, 6600 Nanfeng Road, Shanghai, 201499, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Institute for Metabolic Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China
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230
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Shi L, Jiang F, Ouyang F, Zhang J, Wang Z, Shen X. DNA methylation markers in combination with skeletal and dental ages to improve age estimation in children. Forensic Sci Int Genet 2017; 33:1-9. [PMID: 29172065 DOI: 10.1016/j.fsigen.2017.11.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 10/15/2017] [Accepted: 11/11/2017] [Indexed: 12/21/2022]
Abstract
Age estimation is critical in forensic science, in competitive sports and games and in other age-related fields, but the current methods are suboptimal. The combination of age-associated DNA methylation markers with skeletal age (SA) and dental age (DA) may improve the accuracy and precision of age estimation, but no study has examined this topic. In the current study, we measured SA (GP, TW3-RUS, and TW3-Carpal methods) and DA (Demirjian and Willems methods) by X-ray examination in 124 Chinese children (78 boys and 46 girls) aged 6-15 years. To identify age-associated CpG sites, we analyzed methylome-wide DNA methylation profiling by using the Illumina HumanMethylation450 BeadChip system in 48 randomly selected children. Five CpG sites were identified as associated with chronologic age (CA), with an absolute value of Pearson's correlation coefficient (r)>0.5 (p<0.01) and a false discovery rate<0.01. The validation of age-associated CpG sites was performed using droplet digital PCR techniques in all 124 children. After validation, four CpG sites for boys and five CpG sites for girls were further adopted to build the age estimation model with SA and DA using multivariate linear stepwise regressions. These CpG sites were located at 4 known genes: DDO, PRPH2, DHX8, and ITGA2B and at one unknown gene with the Illumina ID number of 22398226. The accuracy of age estimation methods was compared according to the mean absolute error (MAE) and root mean square error (RMSE). The best single measure for SA was the TW3-RUS method (MAE=0.69years, RMSE=0.95years) in boys, and the GP method (MAE=0.74years, RMSE=0.94years) in girls. For DA, the Willems method was the best single measure for both boys (MAE=0.63years, RMSE=0.78years) and girls (MAE=0.54years, RMSE=0.68years). The models that incorporated SA and DA with the methylation levels of age-associated CpG sites provided the highest accuracy of age estimation in both boys (MAE=0.47years, R2=0.886) and girls (MAE=0.33years, R2=0.941). Cross validation of the results confirmed the reliability and validity of the models. In conclusion, age-associated DNA methylation markers in combination with SA and DA greatly improve the accuracy of age estimation in Chinese children. This method may be applied in forensic science, in competitive sports and games and in other age-related fields.
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Affiliation(s)
- Lei Shi
- XinHua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China; Department of Pediatric Dentistry, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Jiang
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China
| | - Fengxiu Ouyang
- XinHua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China
| | - Jun Zhang
- XinHua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China
| | - Zhimin Wang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center and Shanghai Academy of Science & Technology, Shanghai, China
| | - Xiaoming Shen
- XinHua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai, China.
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231
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Xia B, Gerstin E, Schones DE, Huang W, Steven de Belle J. Transgenerational programming of longevity through E(z)-mediated histone H3K27 trimethylation in Drosophila. Aging (Albany NY) 2017; 8:2988-3008. [PMID: 27889707 PMCID: PMC5191882 DOI: 10.18632/aging.101107] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Accepted: 11/05/2016] [Indexed: 12/19/2022]
Abstract
Transgenerational effects on health and development of early-life nutrition have gained increased attention recently. However, the underlying mechanisms of transgenerational transmission are only starting to emerge, with epigenetics as perhaps the most important mechanism. We recently reported the first animal model to study transgenerational programming of longevity after early-life dietary manipulations, enabling investigations to identify underlying epigenetic mechanisms. We report here that post-eclosion dietary manipulation (PDM) with a low-protein (LP) diet upregulates the protein level of E(z), an H3K27 specific methyltransferase, leading to higher levels of H3K27 trimethylation (H3K27me3). This PDM-mediated change in H3K27me3 corresponded with a shortened longevity of F0 flies as well as their F2 offspring. Specific RNAi-mediated post-eclosion knockdown of E(z) or pharmacological inhibition of its enzymatic function with EPZ-6438 in the F0 parents improved longevity while rendering H3K27me3 low across generations. Importantly, addition of EPZ-6438 to the LP diet fully alleviated the longevity-reducing effect of the LP PDM, supporting the increased level of E(z)-dependent H3K27me3 as the primary cause and immediate early-life period as the critical time to program longevity through epigenetic regulation. These observations establish E(z)-mediated H3K27me3 as one epigenetic mechanism underlying nutritional programming of longevity and support the use of EPZ-6438 to extend lifespan.
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Affiliation(s)
- Brian Xia
- Canyon Crest Academy, San Diego, CA 92130, USA.,Department of Diabetes Complications and Metabolism, City of Hope, Duarte, CA 91010, USA.,Department of Biology, Dart Neuroscience LLC, San Diego, CA 92131, USA
| | - Ed Gerstin
- Canyon Crest Academy, San Diego, CA 92130, USA
| | - Dustin E Schones
- Department of Diabetes Complications and Metabolism, City of Hope, Duarte, CA 91010, USA
| | - Wendong Huang
- Department of Diabetes Complications and Metabolism, City of Hope, Duarte, CA 91010, USA
| | - J Steven de Belle
- Department of Biology, Dart Neuroscience LLC, San Diego, CA 92131, USA
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232
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Abstract
Several articles describe highly accurate age estimation methods based on human DNA-methylation data. It is not yet known whether similar epigenetic aging clocks can be developed based on blood methylation data from canids. Using Reduced Representation Bisulfite Sequencing, we assessed blood DNA-methylation data from 46 domesticated dogs (Canis familiaris) and 62 wild gray wolves (C. lupus). By regressing chronological dog age on the resulting CpGs, we defined highly accurate multivariate age estimators for dogs (based on 41 CpGs), wolves (67 CpGs), and both combined (115 CpGs). Age related DNA methylation changes in canids implicate similar gene ontology categories as those observed in humans suggesting an evolutionarily conserved mechanism underlying age-related DNA methylation in mammals.
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233
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Statistical and integrative system-level analysis of DNA methylation data. Nat Rev Genet 2017; 19:129-147. [PMID: 29129922 DOI: 10.1038/nrg.2017.86] [Citation(s) in RCA: 168] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Epigenetics plays a key role in cellular development and function. Alterations to the epigenome are thought to capture and mediate the effects of genetic and environmental risk factors on complex disease. Currently, DNA methylation is the only epigenetic mark that can be measured reliably and genome-wide in large numbers of samples. This Review discusses some of the key statistical challenges and algorithms associated with drawing inferences from DNA methylation data, including cell-type heterogeneity, feature selection, reverse causation and system-level analyses that require integration with other data types such as gene expression, genotype, transcription factor binding and other epigenetic information.
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234
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Jakubowski JL, Labrie V. Epigenetic Biomarkers for Parkinson's Disease: From Diagnostics to Therapeutics. JOURNAL OF PARKINSONS DISEASE 2017; 7:1-12. [PMID: 27792016 PMCID: PMC5302044 DOI: 10.3233/jpd-160914] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Parkinson’s disease (PD) is a prevalent neurodegenerative illness that is often diagnosed after significant pathology and neuronal cell loss has occurred. Biomarkers of PD are greatly needed for early diagnosis, as well as for the prediction of disease progression and treatment outcome. In this regard, the epigenome, which is partially dynamic, holds considerable promise for the development of molecular biomarkers for PD. Epigenetic marks are modified by both DNA sequence and environmental factors associated with PD, and such marks could serve as a unifying predictor of at-risk individuals. Epigenetic abnormalities have been detected in PD and other age-dependent neurodegenerative diseases, some of which were reported to occur early on and were reversible by PD medications. Emerging reports indicate that certain epigenetic differences observed in the PD brain are detectable in more easily accessible tissues. In this review, we examine epigenetic-based strategies for the development of PD biomarkers. Despite the complexities and challenges faced, the epigenome offers a new source of biomarkers with potential etiological relevance to PD, and may expand opportunities for personalized therapies.
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Affiliation(s)
- Jennifer L Jakubowski
- Center for Neurodegenerative Science, Van Andel Research Institute, Grand Rapids, MI, USA
| | - Viviane Labrie
- Center for Neurodegenerative Science, Van Andel Research Institute, Grand Rapids, MI, USA.,Center for Addiction and Mental Health, Toronto, ON, Canada
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235
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Picca A, Pesce V, Lezza AMS. Does eating less make you live longer and better? An update on calorie restriction. Clin Interv Aging 2017; 12:1887-1902. [PMID: 29184395 PMCID: PMC5685139 DOI: 10.2147/cia.s126458] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The complexity of aging is hard to be captured. However, apart from its tissue-specific features, a structural and functional progressive decline of the whole organism that leads to death, often preceded by a phase of chronic morbidity, characterizes the common process of aging. Therefore, the research goal of scientists in the field moved from the search for strategies able to extend longevity to those ensuring healthy aging associated with a longer lifespan referred to as “healthspan”. The aging process is plastic and can be tuned by multiple mechanisms including dietary and genetic interventions. To date, the most robust approach, efficient in warding off the cellular markers of aging, is calorie restriction (CR). Here, after a preliminary presentation of the major debate originated by CR, we concisely overviewed the recent results of CR treatment on humans. We also provided an update on the molecular mechanisms involved by CR and the effects on some of the age-associated cellular markers. We finally reviewed a number of tested CR mimetics and concluded with an evaluation of future applications of such dietary approach.
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Affiliation(s)
- Anna Picca
- Department of Geriatrics, Neuroscience and Orthopedics, Catholic University of the Sacred Heart School of Medicine, Rome
| | - Vito Pesce
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari, Bari, Italy
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236
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Simpkin AJ, Cooper R, Howe LD, Relton CL, Davey Smith G, Teschendorff A, Widschwendter M, Wong A, Kuh D, Hardy R. Are objective measures of physical capability related to accelerated epigenetic age? Findings from a British birth cohort. BMJ Open 2017; 7:e016708. [PMID: 29092899 PMCID: PMC5695310 DOI: 10.1136/bmjopen-2017-016708] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 06/08/2017] [Accepted: 07/13/2017] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVES Our aim was to investigate the association of epigenetic age and physical capability in later life. Having a higher epigenetic than chronological age (known as age acceleration (AA)) has been found to be associated with an increased rate of mortality. Similarly, physical capability has been proposed as a marker of ageing due to its consistent associations with mortality. SETTING The MRC National Survey of Health and Development (NSHD) cohort study. PARTICIPANTS We used data from 790 women from the NSHD who had DNA methylation data available. DESIGN Epigenetic age was calculated using buccal cell (n=790) and matched blood tissue (n=152) from 790 female NSHD participants. We investigated the association of AA at age 53 with changes in physical capability in women from ages 53 to 60-64. Regression models of change in each measure of physical capability on AA were conducted. Secondary analysis focused on the relationship between AA and smoking, alcohol, body mass index (BMI) and socioeconomic position. OUTCOME MEASURES Three objective measures of physical capability were used: grip strength, standing balance time and chair rise speed. RESULTS Epigenetic age was lower than chronological age (mean 53.4) for both blood (50.3) and buccal cells (42.8). AA from blood was associated with a greater decrease in grip strength from ages 53 to 60-64 (0.42 kg decrease per year of AA, 95% CI 0.03, 0.82 kg; p=0.03, n=152), but no associations were observed with standing balance time or chair rise speed. Current smoking and lower BMI were associated with lower epigenetic age from buccal cells. CONCLUSIONS We found evidence that AA in blood is associated with a greater decrease in grip strength in British females aged between 53 and 60-64, but no association with standing balance time or chair rise speed was found.
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Affiliation(s)
- Andrew J Simpkin
- MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Insight Centre for Data Analytics, National University of Ireland, Galway, Galway, Ireland
| | - Rachel Cooper
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrew Teschendorff
- Department of Women's Cancer, University College London, London, UK
- CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- Department of Statistical Cancer Genomics, UCL Cancer Institute, University College London, London, UK
| | | | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
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237
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Nilsson E, Ling C. DNA methylation links genetics, fetal environment, and an unhealthy lifestyle to the development of type 2 diabetes. Clin Epigenetics 2017; 9:105. [PMID: 29026446 PMCID: PMC5627472 DOI: 10.1186/s13148-017-0399-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/29/2017] [Indexed: 01/09/2023] Open
Abstract
Type 2 diabetes is a complex trait with both environmental and hereditary factors contributing to the overall pathogenesis. One link between genes, environment, and disease is epigenetics influencing gene transcription and, consequently, organ function. Genome-wide studies have shown altered DNA methylation in tissues important for glucose homeostasis including pancreas, liver, skeletal muscle, and adipose tissue from subjects with type 2 diabetes compared with nondiabetic controls. Factors predisposing for type 2 diabetes including an adverse intrauterine environment, increasing age, overweight, physical inactivity, a family history of the disease, and an unhealthy diet have all shown to affect the DNA methylation pattern in target tissues for insulin resistance in humans. Epigenetics including DNA methylation may therefore improve our understanding of the type 2 diabetes pathogenesis, contribute to development of novel treatments, and be a useful tool to identify individuals at risk for developing the disease.
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Affiliation(s)
- Emma Nilsson
- Department of Clinical Sciences, Epigenetics and Diabetes Unit, Lund University Diabetes Centre, Scania University Hospital, Jan Waldenströms gata 35, 205 02 Malmö, Sweden
| | - Charlotte Ling
- Department of Clinical Sciences, Epigenetics and Diabetes Unit, Lund University Diabetes Centre, Scania University Hospital, Jan Waldenströms gata 35, 205 02 Malmö, Sweden
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238
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Abstract
Aging endothelial progenitor cells (EPCs) exhibit functional impairment in terms of proliferation, migration and survival. SIRT1 plays an important role in improving EPCs function. MeCP2, another important epigenetic regulator, is involved in regulating many life-related activities such as cell growth, death and senescence. Here we aim to explore the effect of MeCP2 on the functional activities of senescent EPCs and the underlying mechanisms. By using western blot and real-time PCR, we found that the expression levels of MeCP2 were up-regulated and SIRT1 were down-regulated with replicative senescence and H2O2-induced senescence. Through transduction with adenoviral vectors, EPCs overexpressing MeCP2 had significantly reduced EPCs function, and silencing MeCP2 improved EPCs function. In addition, the protein and mRNA levels of SIRT1 were decreased with MeCP2 overexpression and increased with MeCP2 knockdown. Through co-transfection of EPCs with MeCP2 and SIRT1, we observed that SIRT1 could reverse the effects of MeCP2 on EPCs. In summary, our work demonstrated that MeCP2 inhibited SIRT1 in senescent EPCs.
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239
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Abstract
In mammals, caloric restriction consistently results in extended lifespan. Epigenetic information encoded by DNA methylation is tightly regulated, but shows a striking drift associated with age that includes both gains and losses of DNA methylation at various sites. Here, we report that epigenetic drift is conserved across species and the rate of drift correlates with lifespan when comparing mice, rhesus monkeys, and humans. Twenty-two to 30-year-old rhesus monkeys exposed to 30% caloric restriction since 7–14 years of age showed attenuation of age-related methylation drift compared to ad libitum-fed controls such that their blood methylation age appeared 7 years younger than their chronologic age. Even more pronounced effects were seen in 2.7–3.2-year-old mice exposed to 40% caloric restriction starting at 0.3 years of age. The effects of caloric restriction on DNA methylation were detectable across different tissues and correlated with gene expression. We propose that epigenetic drift is a determinant of lifespan in mammals. Caloric restriction has been shown to increase lifespan in mammals. Here, the authors provide evidence that age-related methylation drift correlates with lifespan and that caloric restriction in mice and rhesus monkeys results in attenuation of age-related methylation drift.
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240
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Ucar D, Márquez EJ, Chung CH, Marches R, Rossi RJ, Uyar A, Wu TC, George J, Stitzel ML, Palucka AK, Kuchel GA, Banchereau J. The chromatin accessibility signature of human immune aging stems from CD8 + T cells. J Exp Med 2017; 214:3123-3144. [PMID: 28904110 PMCID: PMC5626401 DOI: 10.1084/jem.20170416] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Revised: 05/22/2017] [Accepted: 07/06/2017] [Indexed: 12/14/2022] Open
Abstract
Ucar et al. describe a novel chromatin accessibility signature of aging that is borne by memory CD8+ T cells but is detectable from PBMCs. This signature harbors the IL7R gene as a potential biomarker of aging-associated immunodeficiency. Aging is linked to deficiencies in immune responses and increased systemic inflammation. To unravel the regulatory programs behind these changes, we applied systems immunology approaches and profiled chromatin accessibility and the transcriptome in PBMCs and purified monocytes, B cells, and T cells. Analysis of samples from 77 young and elderly donors revealed a novel and robust aging signature in PBMCs, with simultaneous systematic chromatin closing at promoters and enhancers associated with T cell signaling and a potentially stochastic chromatin opening mostly found at quiescent and repressed sites. Combined analyses of chromatin accessibility and the transcriptome uncovered immune molecules activated/inactivated with aging and identified the silencing of the IL7R gene and the IL-7 signaling pathway genes as potential biomarkers. This signature is borne by memory CD8+ T cells, which exhibited an aging-related loss in binding of NF-κB and STAT factors. Thus, our study provides a unique and comprehensive approach to identifying candidate biomarkers and provides mechanistic insights into aging-associated immunodeficiency.
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Affiliation(s)
- Duygu Ucar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT .,Institute for Systems Genomics, University of Connecticut, Farmington, CT.,Department of Genetics and Genome Sciences, University of Connecticut, Farmington, CT
| | | | - Cheng-Han Chung
- The Jackson Laboratory for Genomic Medicine, Farmington, CT.,Department of Biomedical Studies, Baylor University, Waco, TX
| | - Radu Marches
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Robert J Rossi
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Asli Uyar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Te-Chia Wu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Joshy George
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Michael L Stitzel
- The Jackson Laboratory for Genomic Medicine, Farmington, CT.,Institute for Systems Genomics, University of Connecticut, Farmington, CT.,Department of Genetics and Genome Sciences, University of Connecticut, Farmington, CT
| | | | - George A Kuchel
- University of Connecticut Center on Aging, University of Connecticut, Farmington, CT
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241
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Charting the dynamic epigenome during B-cell development. Semin Cancer Biol 2017; 51:139-148. [PMID: 28851627 DOI: 10.1016/j.semcancer.2017.08.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 08/21/2017] [Accepted: 08/22/2017] [Indexed: 02/06/2023]
Abstract
The epigenetic landscape undergoes a widespread modulation during embryonic development and cell differentiation. Within the hematopoietic system, B cells are perhaps the cell lineage with a more dynamic DNA methylome during their maturation process, which involves approximately one third of all the CpG sites of the genome. Although each B-cell maturation step displays its own DNA methylation fingerprint, the DNA methylome is more extensively modified in particular maturation transitions. These changes are gradually accumulated in specific chromatin environments as cell differentiation progresses and reflect different features and functional states of B cells. Promoters and enhancers of B-cell transcription factors acquire activation-related epigenetic marks and are sequentially expressed in particular maturation windows. These transcription factors further reconfigure the epigenetic marks and activity state of their target sites to regulate the expression of genes related to B-cell functions. Together with this observation, extensive DNA methylation changes in areas outside gene regulatory elements such as hypomethylation of heterochromatic regions and hypermethylation of CpG-rich regions, also take place in mature B cells, which intriguingly have been described as hallmarks of cancer. This process starts in germinal center B cells, a highly proliferative cell type, and becomes particularly apparent in long-lived cells such as memory and plasma cells. Overall, the characterization of the DNA methylome during B-cell differentiation not only provides insights into the complex epigenetic network of regulatory elements that mediate the maturation process but also suggests that late B cells also passively accumulate epigenetic changes related to cell proliferation and longevity.
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242
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Ashapkin VV, Kutueva LI, Vanyushin BF. Aging as an Epigenetic Phenomenon. Curr Genomics 2017; 18:385-407. [PMID: 29081695 PMCID: PMC5635645 DOI: 10.2174/1389202918666170412112130] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Revised: 01/17/2016] [Accepted: 02/09/2016] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Hypermethylation of genes associated with promoter CpG islands, and hypomethylation of CpG poor genes, repeat sequences, transposable elements and intergenic genome sections occur during aging in mammals. Methylation levels of certain CpG sites display strict correlation to age and could be used as "epigenetic clock" to predict biological age. Multi-substrate deacetylases SIRT1 and SIRT6 affect aging via locus-specific modulations of chromatin structure and activity of multiple regulatory proteins involved in aging. Random errors in DNA methylation and other epigenetic marks during aging increase the transcriptional noise, and thus lead to enhanced phenotypic variation between cells of the same tissue. Such variation could cause progressive organ dysfunction observed in aged individuals. Multiple experimental data show that induction of NF-κB regulated gene sets occurs in various tissues of aged mammals. Upregulation of multiple miRNAs occurs at mid age leading to downregulation of enzymes and regulatory proteins involved in basic cellular functions, such as DNA repair, oxidative phosphorylation, intermediate metabolism, and others. CONCLUSION Strong evidence shows that all epigenetic systems contribute to the lifespan control in various organisms. Similar to other cell systems, epigenome is prone to gradual degradation due to the genome damage, stressful agents, and other aging factors. But unlike mutations and other kinds of the genome damage, age-related epigenetic changes could be fully or partially reversed to a "young" state.
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Affiliation(s)
- Vasily V Ashapkin
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Lyudmila I Kutueva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Boris F Vanyushin
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia
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243
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López V, Fernández A, Fraga M. The role of 5-hydroxymethylcytosine in development, aging and age-related diseases. Ageing Res Rev 2017; 37:28-38. [PMID: 28499883 DOI: 10.1016/j.arr.2017.05.002] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Revised: 05/02/2017] [Accepted: 05/02/2017] [Indexed: 12/24/2022]
Abstract
DNA methylation at the fifth position of cytosines (5mC) represents a major epigenetic modification in mammals. The recent discovery of 5-hydroxymethylcytosine (5hmC), resulting from 5mC oxidation, is redefining our view of the epigenome, as multiple studies indicate that 5hmC is not simply an intermediate of DNA demethylation, but a genuine epigenetic mark that may play an important functional role in gene regulation. Currently, the availability of platforms that discriminates between the presence of 5mC and 5hmC at single-base resolution is starting to shed light on the functions of 5hmC. In this review, we provide an overview of the genomic distribution of 5hmC, and examine recent findings on the role of this mark and the potential consequences of its misregulation during three fundamental biological processes: cell differentiation, cancer and aging.
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244
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Miranda-Morales E, Meier K, Sandoval-Carrillo A, Salas-Pacheco J, Vázquez-Cárdenas P, Arias-Carrión O. Implications of DNA Methylation in Parkinson's Disease. Front Mol Neurosci 2017; 10:225. [PMID: 28769760 PMCID: PMC5513956 DOI: 10.3389/fnmol.2017.00225] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 07/03/2017] [Indexed: 12/13/2022] Open
Abstract
It has been 200 years since Parkinson’s disease (PD) was first described, yet many aspects of its etiopathogenesis remain unclear. PD is a progressive and complex neurodegenerative disorder caused by genetic and environmental factors including aging, nutrition, pesticides and exposure to heavy metals. DNA methylation may be altered in response to some of these factors; therefore, it is proposed that epigenetic mechanisms, particularly DNA methylation, can have a fundamental role in gene–environment interactions that are related with PD. Epigenetic changes in PD-associated genes are now widely studied in different populations, to discover the mechanisms that contribute to disease development and identify novel biomarkers for early diagnosis and future pharmacological treatment. While initial studies sought to find associations between promoter DNA methylation and the regulation of associated genes in PD brain tissue, more recent studies have described concordant DNA methylation patterns between blood and brain tissue DNA. These data justify the use of peripheral blood samples instead of brain tissue for epigenetic studies. Here, we summarize the current data about DNA methylation changes in PD and discuss the potential of DNA methylation as a potential biomarker for PD. Additionally, we discuss environmental and nutritional factors that have been implicated in DNA methylation. Although the search for significant DNA methylation changes and gene expression analyses of PD-associated genes have yielded inconsistent and contradictory results, epigenetic modifications remain under investigation for their potential to reveal the link between environmental risk factors and the development of PD.
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Affiliation(s)
- Ernesto Miranda-Morales
- Unidad de Trastornos del Movimiento y Sueño, Hospital General Dr. Manuel Gea GonzálezMexico City, Mexico.,Instituto de Investigación Científica, Universidad Juárez del Estado de DurangoDurango, Mexico
| | - Karin Meier
- Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de MéxicoMexico City, Mexico
| | - Ada Sandoval-Carrillo
- Instituto de Investigación Científica, Universidad Juárez del Estado de DurangoDurango, Mexico
| | - José Salas-Pacheco
- Instituto de Investigación Científica, Universidad Juárez del Estado de DurangoDurango, Mexico
| | | | - Oscar Arias-Carrión
- Unidad de Trastornos del Movimiento y Sueño, Hospital General Dr. Manuel Gea GonzálezMexico City, Mexico
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245
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Epigenetic dysregulation of protocadherins in human disease. Semin Cell Dev Biol 2017; 69:172-182. [PMID: 28694114 DOI: 10.1016/j.semcdb.2017.07.007] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 07/03/2017] [Accepted: 07/06/2017] [Indexed: 12/12/2022]
Abstract
Protocadherins (Pcdhs) are a group of cell-cell adhesion molecules that are highly expressed in the nervous system and have a major function in dendrite development and neural circuit formation. However, the role protocadherins play in human health and disease remains unclear. Several recent studies have associated epigenetic dysregulation of protocadherins with possible implications for disease pathogenesis. In this review, we briefly recap the various epigenetic mechanisms regulating protocadherin genes, particularly the clustered Pcdhs. We further outline research describing altered epigenetic regulation of protocadherins in neurological and psychiatric disorders, as well as in cancer and during aging. We additionally present preliminary data on DNA methylation dynamics of clustered protocadherins during fetal brain development, as well as the epigenetic differences distinguishing adult neuronal and glial cells. A deeper understanding of the role of protocadherins in disease is crucial for designing novel diagnostic tools and therapies targeting brain disorders.
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246
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Salas LA, Johnson KC, Koestler DC, O'Sullivan DE, Christensen BC. Integrative epigenetic and genetic pan-cancer somatic alteration portraits. Epigenetics 2017; 12:561-574. [PMID: 28426276 PMCID: PMC5687331 DOI: 10.1080/15592294.2017.1319043] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 04/02/2017] [Accepted: 04/07/2017] [Indexed: 12/11/2022] Open
Abstract
Genetic and epigenetic alterations are required for carcinogenesis and the mutation burden across tumor types has been investigated. Here, we investigate epigenetic alterations with a novel measure of global DNA methylation dysregulation, the methylation dysregulation index (MDI), across 14 cancer types in The Cancer Genome Atlas (TCGA) database. DNA methylation data-obtained using Illumina HumanMethylation450 BeadChip-was accessed from TCGA. We calculated the MDI in 14 tumor types (n = 5,592 tumors), using adjacent normal tissues (n = 701) from each tumor site. Copy number alteration, and mutation burden were retrieved from cBioportal (n = 5,152). We tested the relation of subject MDI across tumors and with age, gender, tumor stage, estimated tumor purity, and copy number alterations for both overall MDI and genomic-context-specific MDI. We also investigated the top most dysregulated loci shared across tumor types. There was a broad range of extent in methylation dysregulation across tumor types (P < 2.2E-16). However, a consistent pattern of methylation dysregulation stratified by genomic context was observed across tumor types where the highest dysregulation occurred at non-CpG island regions. Considering other summary measures of somatic alteration, MDI was correlated with copy number alterations but not with mutation burden. Using the top dysregulated CpG sites in common across tumors, 4 classes of cancer types were observed, and the functional consequences of these alterations to gene expression were confirmed. This work identified the global DNA methylation dysregulation patterns across 14 cancer types showing a higher impact for the non-CpG island areas. The most dysregulated loci across cancer types identified common clusters across cancer types that may have implications for future treatment and prevention measures.
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Affiliation(s)
- Lucas A. Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Kevin C. Johnson
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Devin C. Koestler
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Dylan E. O'Sullivan
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Brock C. Christensen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
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247
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Affiliation(s)
- J. Ramón Tejedor
- Institute of Oncology of Asturias (IUOPA), HUCA; Universidad de Oviedo; Oviedo Spain
- Fundación para la Investigación Biosanitaria de Asturias (FINBA); Instituto de Investigación Sanitaria del Principado de Asturias (IISPA); Oviedo Asturias Spain
| | - Mario F. Fraga
- Nanomaterials and Nanotechnology Research Center (CINN-CSIC); Universidad de Oviedo; Principado de Asturias Spain
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248
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Guénard F, Tchernof A, Deshaies Y, Biron S, Lescelleur O, Biertho L, Marceau S, Pérusse L, Vohl MC. Genetic regulation of differentially methylated genes in visceral adipose tissue of severely obese men discordant for the metabolic syndrome. Transl Res 2017; 184:1-11.e2. [PMID: 28219716 DOI: 10.1016/j.trsl.2017.01.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 12/19/2016] [Accepted: 01/24/2017] [Indexed: 01/01/2023]
Abstract
A genetic influence on methylation levels has been reported and methylation quantitative trait loci (meQTL) have been identified in various tissues. The contribution of genetic and epigenetic factors in the development of the metabolic syndrome (MetS) has also been noted. To pinpoint candidate genes for testing the association of SNPs with MetS and its components, we aimed to evaluate the contribution of genetic variations to differentially methylated CpG sites in severely obese men discordant for MetS. A genome-wide differential methylation analysis was conducted in visceral adipose tissue (VAT) of 31 severely obese men discordant for MetS (16 with and 15 without MetS) and identified ∼17,800 variable CpG sites. The genome-wide association study conducted to identify the SNPs (meQTL) associated with methylation levels at variable CpG sites revealed 2292 significant associations (P < 2.22 × 10-11) involving 2182 unique meQTLs regulating the methylation levels of 174 variable CpG sites. Two meQTLs disrupting CpG sites located within the collagen-encoding COL11A2 gene were tested for associations with MetS and its components in a cohort of 3021 obese individuals. Rare alleles of these meQTLs showed association with plasma fasting glucose levels. Further analysis conducted on these meQTL suggested a biological impact mediated through the disruption of transcription factor (TF)-binding sites based on the prediction of TF-binding affinities. The current study identified meQTL in the VAT of severely obese men and revealed associations of two COL11A2 meQTL with fasting glucose levels.
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Affiliation(s)
- Frédéric Guénard
- Institute of Nutrition and Functional Foods (INAF), Québec, Canada; School of Nutrition, Laval University, Québec, Canada
| | - André Tchernof
- School of Nutrition, Laval University, Québec, Canada; Québec Heart and Lung Institute, Québec, Canada
| | - Yves Deshaies
- Québec Heart and Lung Institute, Québec, Canada; Department of Medicine, Laval University, Québec, Canada
| | - Simon Biron
- Department of Surgery, Laval University, Québec, Canada
| | | | | | - Simon Marceau
- Department of Surgery, Laval University, Québec, Canada
| | - Louis Pérusse
- Institute of Nutrition and Functional Foods (INAF), Québec, Canada; Department of Kinesiology, Laval University, Québec, Canada
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods (INAF), Québec, Canada; School of Nutrition, Laval University, Québec, Canada.
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249
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Trends in DNA Methylation with Age Replicate Across Diverse Human Populations. Genetics 2017; 206:1659-1674. [PMID: 28533441 DOI: 10.1534/genetics.116.195594] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 05/09/2017] [Indexed: 01/31/2023] Open
Abstract
Aging is associated with widespread changes in genome-wide patterns of DNA methylation. Thousands of CpG sites whose tissue-specific methylation levels are strongly correlated with chronological age have been previously identified. However, the majority of these studies have focused primarily on cosmopolitan populations living in the developed world; it is not known if age-related patterns of DNA methylation at these loci are similar across a broad range of human genetic and ecological diversity. We investigated genome-wide methylation patterns using saliva- and whole blood-derived DNA from two traditionally hunting and gathering African populations: the Baka of the western Central African rain forest and the ≠Khomani San of the South African Kalahari Desert. We identified hundreds of CpG sites whose methylation levels are significantly associated with age, thousands that are significant in a meta-analysis, and replicate trends previously reported in populations of non-African descent. We confirmed that an age-associated site in the promoter of the gene ELOVL2 shows a remarkably congruent relationship with aging in humans, despite extensive genetic and environmental variation across populations. We also demonstrate that genotype state at methylation quantitative trait loci (meQTLs) can affect methylation trends at some age-associated CpG sites. Our study explores the relationship between CpG methylation and chronological age in populations of African hunter-gatherers, who rely on different diets across diverse ecologies. While many age-related CpG sites replicate across populations, we show that considering common genetic variation at meQTLs further improves our ability to detect previously identified age associations.
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250
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The Regulatory Capacity of Bivalent Genes-A Theoretical Approach. Int J Mol Sci 2017; 18:ijms18051069. [PMID: 28513551 PMCID: PMC5454979 DOI: 10.3390/ijms18051069] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 05/08/2017] [Accepted: 05/10/2017] [Indexed: 02/07/2023] Open
Abstract
Bivalent genes are frequently associated with developmental and lineage specification processes. Resolving their bivalency enables fast changes in their expression, which potentially can trigger cell fate decisions. Here, we provide a theoretical model of bivalency that allows for predictions on the occurrence, stability and regulatory capacity of this prominent modification state. We suggest that bivalency enables balanced gene expression heterogeneity that constitutes a prerequisite of robust lineage priming in somatic stem cells. Moreover, we demonstrate that interactions between the histone and DNA methylation machineries together with the proliferation activity control the stability of the bivalent state and can turn it into an unmodified state. We suggest that deregulation of these interactions underlies cell transformation processes as associated with acute myeloid leukemia (AML) and provide a model of AML blast formation following deregulation of the Ten-eleven Translocation (TET) pathway.
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