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Short AK, Weber R, Kamei N, Wilcox Thai C, Arora H, Mortazavi A, Stern HS, Glynn L, Baram TZ. Individual longitudinal changes in DNA-methylome identify signatures of early-life adversity and correlate with later outcome. Neurobiol Stress 2024; 31:100652. [PMID: 38962694 PMCID: PMC11219970 DOI: 10.1016/j.ynstr.2024.100652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/02/2024] [Accepted: 05/27/2024] [Indexed: 07/05/2024] Open
Abstract
Adverse early-life experiences (ELA) affect a majority of the world's children. Whereas the enduring impact of ELA on cognitive and emotional health is established, there are no tools to predict vulnerability to ELA consequences in an individual child. Epigenetic markers including peripheral-cell DNA-methylation profiles may encode ELA and provide predictive outcome markers, yet the interindividual variance of the human genome and rapid changes in DNA methylation in childhood pose significant challenges. Hoping to mitigate these challenges we examined the relation of several ELA dimensions to DNA methylation changes and outcome using a within-subject longitudinal design and a high methylation-change threshold. DNA methylation was analyzed in buccal swab/saliva samples collected twice (neonatally and at 12 months) in 110 infants. We identified CpGs differentially methylated across time for each child and determined whether they associated with ELA indicators and executive function at age 5. We assessed sex differences and derived a sex-dependent 'impact score' based on sites that most contributed to methylation changes. Changes in methylation between two samples of an individual child reflected age-related trends and correlated with executive function years later. Among tested ELA dimensions and life factors including income to needs ratios, maternal sensitivity, body mass index and infant sex, unpredictability of parental and household signals was the strongest predictor of executive function. In girls, high early-life unpredictability interacted with methylation changes to presage executive function. Thus, longitudinal, within-subject changes in methylation profiles may provide a signature of ELA and a potential predictive marker of individual outcome.
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Affiliation(s)
- Annabel K. Short
- Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Ryan Weber
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Noriko Kamei
- Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA
| | - Christina Wilcox Thai
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Hina Arora
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Hal S. Stern
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697, USA
| | - Laura Glynn
- Department of Psychology, Chapman University, Orange, CA, 92866, USA
| | - Tallie Z. Baram
- Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697, USA
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Wang K, Sartor MA, Colacino JA, Dolinoy DC, Svoboda LK. Sex-Specific Deflection of Age-Related DNA Methylation and Gene Expression in Mouse Heart by Perinatal Toxicant Exposures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.25.591125. [PMID: 38712146 PMCID: PMC11071472 DOI: 10.1101/2024.04.25.591125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Background Global and site-specific changes in DNA methylation and gene expression are associated with cardiovascular aging and disease, but how toxicant exposures during early development influence the normal trajectory of these age-related molecular changes, and whether there are sex differences, has not yet been investigated. Objectives We used an established mouse model of developmental exposures to investigate the effects of perinatal exposure to either lead (Pb) or diethylhexyl phthalate (DEHP), two ubiquitous environmental contaminants strongly associated with CVD, on age-related cardiac DNA methylation and gene expression. Methods Dams were randomly assigned to receive human physiologically relevant levels of Pb (32 ppm in water), DEHP (25 mg/kg chow), or control water and chow. Exposures started two weeks prior to mating and continued until weaning at postnatal day 21 (3 weeks of age). Approximately one male and one female offspring per litter were followed to 3 weeks, 5 months, or 10 months of age, at which time whole hearts were collected (n ≥ 5 per sex per exposure). Enhanced reduced representation bisulfite sequencing (ERRBS) was used to assess the cardiac DNA methylome at 3 weeks and 10 months, and RNA-seq was conducted at all 3 time points. MethylSig and edgeR were used to identify age-related differentially methylated regions (DMRs) and differentially expressed genes (DEGs), respectively, within each sex and exposure group. Cell type deconvolution of bulk RNA-seq data was conducted using the MuSiC algorithm and publicly available single cell RNA-seq data. Results Thousands of DMRs and hundreds of DEGs were identified in control, DEHP, and Pb-exposed hearts across time between 3 weeks and 10 months of age. A closer look at the genes and pathways showing differential DNA methylation revealed that the majority were unique to each sex and exposure group. Overall, pathways governing development and differentiation were most frequently altered with age in all conditions. A small number of genes in each group showed significant changes in DNA methylation and gene expression with age, including several that were altered by both toxicants but were unchanged in control. We also observed subtle, but significant changes in the proportion of several cell types due to age, sex, and developmental exposure. Discussion Together these data show that perinatal Pb or DEHP exposures deflect normal age-related gene expression, DNA methylation programs, and cellular composition across the life course, long after cessation of exposure, and highlight potential biomarkers of developmental toxicant exposures. Further studies are needed to investigate how these epigenetic and transcriptional changes impact cardiovascular health across the life course.
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Vasileva D, Greenwood CMT, Daley D. A Review of the Epigenetic Clock: Emerging Biomarkers for Asthma and Allergic Disease. Genes (Basel) 2023; 14:1724. [PMID: 37761864 PMCID: PMC10531327 DOI: 10.3390/genes14091724] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023] Open
Abstract
DNA methylation (DNAm) is a dynamic, age-dependent epigenetic modification that can be used to study interactions between genetic and environmental factors. Environmental exposures during critical periods of growth and development may alter DNAm patterns, leading to increased susceptibility to diseases such as asthma and allergies. One method to study the role of DNAm is the epigenetic clock-an algorithm that uses DNAm levels at select age-informative Cytosine-phosphate-Guanine (CpG) dinucleotides to predict epigenetic age (EA). The difference between EA and calendar age (CA) is termed epigenetic age acceleration (EAA) and reveals information about the biological capacity of an individual. Associations between EAA and disease susceptibility have been demonstrated for a variety of age-related conditions and, more recently, phenotypes such as asthma and allergic diseases, which often begin in childhood and progress throughout the lifespan. In this review, we explore different epigenetic clocks and how they have been applied, particularly as related to childhood asthma. We delve into how in utero and early life exposures (e.g., smoking, air pollution, maternal BMI) result in methylation changes. Furthermore, we explore the potential for EAA to be used as a biomarker for asthma and allergic diseases and identify areas for further study.
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Affiliation(s)
- Denitsa Vasileva
- Centre for Heart Lung Innovation, University of British Columbia and Saint Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada;
| | - Celia M. T. Greenwood
- Lady Davis Institute for Medical Research, Montreal, QC H3T 1E2, Canada;
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 0G4, Canada
- Gerald Bronfman Department of Oncology, McGill University, Montreal, QC H3A 0G4, Canada
- Department of Human Genetics, McGill University, Montreal, QC H3A 0G4, Canada
| | - Denise Daley
- Centre for Heart Lung Innovation, University of British Columbia and Saint Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada;
- Department of Medicine, Respiratory Division, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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Naz N, Moshkdanian G, Miyan S, Eljabri S, James C, Miyan J. A Paternal Methylation Error in the Congenital Hydrocephalic Texas (H-Tx) Rat Is Partially Rescued with Natural Folate Supplements. Int J Mol Sci 2023; 24:1638. [PMID: 36675153 PMCID: PMC9860872 DOI: 10.3390/ijms24021638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Abstract
Folate deficiencies, folate imbalance and associated abnormal methylation are associated with birth defects, developmental delays, neurological conditions and diseases. In the hydrocephalic Texas (H-Tx) rat, 10-formyl tetrahydrofolate dehydrogenase (FDH) is reduced or absent from the CSF and the nuclei of cells in the brain and liver and this is correlated with decreased DNA methylation. In the present study, we tested whether impaired folate metabolism or methylation exists in sexually mature, unaffected H-Tx rats, which may explain the propagation of hydrocephalus in their offspring. We compared normal Sprague Dawley (SD, n = 6) rats with untreated H-Tx (uH-Tx, n = 6 and folate-treated H-Tx (TrH-Tx, n = 4). Structural abnormalities were observed in the testis of uH-Tx rats, with decreased methylation, increased demethylation, and cell death, particularly of sperm. FDH and FRα protein expression was increased in uH-Tx males but not in folate-treated males but tissue folate levels were unchanged. 5-Methylcytosine was significantly reduced in untreated and partially restored in treated individuals, while 5-hydroxymethylcytosine was not significantly changed. Similarly, a decrease in DNA-methyltransferase-1 expression in uH-Tx rats was partially reversed with treatment. The data expose a significant germline methylation error in unaffected adult male H-Tx rats from which hydrocephalic offspring are obtained. Reduced methylation in the testis and sperm was partially recovered by treatment with folate supplements leading us to conclude that this neurological disorder may not be completely eradicated by maternal supplementation alone.
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Affiliation(s)
| | | | | | | | | | - Jaleel Miyan
- Division of Neuroscience, Faculty of Biology, Medicine and Health, The University of Manchester, 3.540 Stopford Building, Oxford Road, Manchester M13 9PT, UK
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Holladay SD. Environmental contaminants, endocrine disruption, and transgender: Can "born that way" in some cases be toxicologically real? Hum Exp Toxicol 2023; 42:9603271231203382. [PMID: 37751728 DOI: 10.1177/09603271231203382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
Gender is viewed by many as strictly binary based on a collection of body traits typical of a female or male phenotype, presence of a genotype that includes at least one copy of a Y chromosome, or ability to produce either egg or sperm cells. A growing non-binary view is that these descriptors, while compelling, may nonetheless fail to accurately capture an individual's true gender. The position of the American Psychological Association (APA) agrees with this view and is that transgender people are a defendable and real part of the human population. The considerable diversity of transgender expression then argues against any unitary or simple explanations, however, prenatal hormone levels, genetic influences, and early and later life experiences have been suggested as playing roles in development of transgender identities. The present review considers existing and emerging toxicologic data that may also support an environmental chemical contribution to some transgender identities, and suggest the possibility of a growing nonbinary brain gender continuum in the human population.
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Affiliation(s)
- Steven David Holladay
- Department of Biomedical Sciences, College of Veterinary Medicine, University of Georgia, Athens, GA, USA
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Bermick J, Schaller M. Epigenetic regulation of pediatric and neonatal immune responses. Pediatr Res 2022; 91:297-327. [PMID: 34239066 DOI: 10.1038/s41390-021-01630-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/01/2021] [Accepted: 06/09/2021] [Indexed: 02/06/2023]
Abstract
Epigenetic regulation of transcription is a collective term that refers to mechanisms known to regulate gene transcription without changing the underlying DNA sequence. These mechanisms include DNA methylation and histone tail modifications which influence chromatin accessibility, and microRNAs that act through post-transcriptional gene silencing. Epigenetics is known to regulate a variety of biological processes, and the role of epigtenetics in immunity and immune-mediated diseases is becoming increasingly recognized. While DNA methylation is the most widely studied, each of these systems play an important role in the development and maintenance of appropriate immune responses. There is clear evidence that epigenetic mechanisms contribute to developmental stage-specific immune responses in a cell-specific manner. There is also mounting evidence that prenatal exposures alter epigenetic profiles and subsequent immune function in exposed offspring. Early life exposures that are associated with poor long-term health outcomes also appear to impact immune specific epigenetic patterning. Finally, each of these epigenetic mechanisms contribute to the pathogenesis of a wide variety of diseases that manifest during childhood. This review will discuss each of these areas in detail. IMPACT: Epigenetics, including DNA methylation, histone tail modifications, and microRNA expression, dictate immune cell phenotypes. Epigenetics influence immune development and subsequent immune health. Prenatal, perinatal, and postnatal exposures alter immune cell epigenetic profiles and subsequent immune function. Numerous pediatric-onset diseases have an epigenetic component. Several successful strategies for childhood diseases target epigenetic mechanisms.
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Affiliation(s)
- Jennifer Bermick
- Department of Pediatrics, Division of Neonatology, University of Iowa, Iowa City, IA, USA. .,Iowa Inflammation Program, University of Iowa, Iowa City, IA, USA.
| | - Matthew Schaller
- Department of Pulmonary, Critical Care & Sleep Medicine, University of Florida, Gainesville, FL, USA
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Campagna MP, Xavier A, Lechner-Scott J, Maltby V, Scott RJ, Butzkueven H, Jokubaitis VG, Lea RA. Epigenome-wide association studies: current knowledge, strategies and recommendations. Clin Epigenetics 2021; 13:214. [PMID: 34863305 PMCID: PMC8645110 DOI: 10.1186/s13148-021-01200-8] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/19/2021] [Indexed: 02/06/2023] Open
Abstract
The aetiology and pathophysiology of complex diseases are driven by the interaction between genetic and environmental factors. The variability in risk and outcomes in these diseases are incompletely explained by genetics or environmental risk factors individually. Therefore, researchers are now exploring the epigenome, a biological interface at which genetics and the environment can interact. There is a growing body of evidence supporting the role of epigenetic mechanisms in complex disease pathophysiology. Epigenome-wide association studies (EWASes) investigate the association between a phenotype and epigenetic variants, most commonly DNA methylation. The decreasing cost of measuring epigenome-wide methylation and the increasing accessibility of bioinformatic pipelines have contributed to the rise in EWASes published in recent years. Here, we review the current literature on these EWASes and provide further recommendations and strategies for successfully conducting them. We have constrained our review to studies using methylation data as this is the most studied epigenetic mechanism; microarray-based data as whole-genome bisulphite sequencing remains prohibitively expensive for most laboratories; and blood-based studies due to the non-invasiveness of peripheral blood collection and availability of archived DNA, as well as the accessibility of publicly available blood-cell-based methylation data. Further, we address multiple novel areas of EWAS analysis that have not been covered in previous reviews: (1) longitudinal study designs, (2) the chip analysis methylation pipeline (ChAMP), (3) differentially methylated region (DMR) identification paradigms, (4) methylation quantitative trait loci (methQTL) analysis, (5) methylation age analysis and (6) identifying cell-specific differential methylation from mixed cell data using statistical deconvolution.
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Affiliation(s)
- Maria Pia Campagna
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Alexandre Xavier
- Centre for Information Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
| | - Jeannette Lechner-Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Department of Neurology, Division of Medicine, John Hunter Hospital, Newcastle, Australia
| | - Vicky Maltby
- Centre for Information Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
| | - Rodney J Scott
- Centre for Information Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia
- Division of Molecular Medicine, New South Wales Health Pathology North, Newcastle, Australia
| | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
- Department of Neurology, Alfred Health, Melbourne, Australia
| | - Vilija G Jokubaitis
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
- Department of Neurology, Alfred Health, Melbourne, Australia
| | - Rodney A Lea
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia.
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.
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Mukherjee N, Arathimos R, Chen S, Kheirkhah Rahimabad P, Han L, Zhang H, Holloway JW, Relton C, Henderson AJ, Arshad SH, Ewart S, Karmaus W. DNA methylation at birth is associated with lung function development until age 26 years. Eur Respir J 2021; 57:2003505. [PMID: 33214203 DOI: 10.1183/13993003.03505-2020] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 10/14/2020] [Indexed: 12/14/2022]
Abstract
Little is known about whether DNA methylation (DNAm) of cytosine-phosphate-guanine (CpG) sites at birth predicts patterns of lung function development. We used heel prick DNAm from the F1-generation of Isle of Wight birth cohort (IOWBC-F1) for discovery of CpGs associated with lung function trajectories (forced expiratory volume in 1 s, forced vital capacity, their ratio, and forced expiratory flow at 25-75% of forced vital capacity) over the first 26 years, stratified by sex. We replicated the findings in the Avon Longitudinal Study of Parents and Children (ALSPAC) using cord blood DNAm.Epigenome-wide screening was applied to identify CpGs associated with lung function trajectories in 396 boys and 390 girls of IOWBC-F1. Replication in ALSPAC focussed on lung function at ages 8, 15 and 24 years. Statistically significantly replicated CpGs were investigated for consistency in direction of association between cohorts, stability of DNAm over time in IOWBC-F1, relevant biological processes and for association with gene expression (n=161) in IOWBC F2-generation (IOWBC-F2).Differential DNAm of eight CpGs on genes GLUL, MYCN, HLX, LHX1, COBL, COL18A1, STRA6, and WNT11 involved in developmental processes, were significantly associated with lung function in the same direction in IOWBC-F1 and ALSPAC, and showed stable patterns at birth, aged 10 and 18 years between high and low lung function trajectories in IOWBC-F1. CpGs on LHX1 and COL18A1 were linked to gene expression in IOWBC-F2.In two large cohorts, novel DNAm at birth were associated with patterns of lung function in adolescence and early adulthood providing possible targets for preventative interventions against adverse pulmonary function development.
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Affiliation(s)
- Nandini Mukherjee
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Ryan Arathimos
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Social Genetic & Developmental Psychiatry Centre, Kings College London, London, UK
- NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK
| | - Su Chen
- Dept of Mathematical Sciences, The University of Memphis, Memphis, TN, USA
| | - Parnian Kheirkhah Rahimabad
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Luhang Han
- Dept of Mathematical Sciences, The University of Memphis, Memphis, TN, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - John W Holloway
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - A John Henderson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Syed Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- The David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Susan Ewart
- College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
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Wiencke JK, Zhang Z, Koestler DC, Salas LA, Molinaro AM, Christensen BC, Kelsey KT. Identification of a foetal epigenetic compartment in adult human kidney. Epigenetics 2021; 17:335-355. [PMID: 33783321 DOI: 10.1080/15592294.2021.1900027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
The mammalian kidney has extensive repair capacity; however, identifying adult renal stem cells has proven elusive. We applied an epigenetic marker of foetal cell origin (FCO) in diverse human tissues as a probe for developmental cell persistence, finding a 5.4-fold greater FCO proportion in kidney. Normal kidney FCO proportions averaged 49% with extensive interindividual variation. FCO proportions were significantly negatively correlated with immune-related gene expression and positively correlated with genes expressed in the renal medulla, including those involved in renal organogenesis (e.g., FGF2, PAX8, and HOXB7). FCO associated genes also mapped to medullary nephron segments in mouse and rat, suggesting evolutionary conservation of this cellular compartment. Renal cancer patients whose tumours contained non-zero FCO scores survived longer. The kidney appears unique in possessing substantial foetal epigenetic features. Further study of FCO-related gene methylation may elucidate regenerative regulatory programmes in tissues without apparent discrete stem cell compartments.
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Affiliation(s)
- John K Wiencke
- Department of Neurological Surgery, Institute for Human Genetics, University of California, San Francisco, CA, USA
| | - Ze Zhang
- Department of Epidemiology, Department of Pathology and Laboratory Medicine, Brown University School of Public Health, Providence, RI, USA
| | - Devin C Koestler
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Lucas A Salas
- Department of Epidemiology, Department of Molecular and Systems Biology, Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, Institute for Human Genetics, University of California, San Francisco, CA, USA
| | - Brock C Christensen
- Department of Epidemiology, Department of Molecular and Systems Biology, Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Karl T Kelsey
- Department of Epidemiology, Department of Pathology and Laboratory Medicine, Brown University School of Public Health, Providence, RI, USA
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Han C, Xie Q, Lin S. Are dropout imputation methods for scRNA-seq effective for scHi-C data? Brief Bioinform 2020; 22:5985294. [PMID: 33201180 DOI: 10.1093/bib/bbaa289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 09/30/2020] [Accepted: 10/01/2020] [Indexed: 01/07/2023] Open
Abstract
The prevalence of dropout events is a serious problem for single-cell Hi-C (scHiC) data due to insufficient sequencing depth and data coverage, which brings difficulties in downstream studies such as clustering and structural analysis. Complicating things further is the fact that dropouts are confounded with structural zeros due to underlying properties, leading to observed zeros being a mixture of both types of events. Although a great deal of progress has been made in imputing dropout events for single cell RNA-sequencing (RNA-seq) data, little has been done in identifying structural zeros and imputing dropouts for scHiC data. In this paper, we adapted several methods from the single-cell RNA-seq literature for inference on observed zeros in scHiC data and evaluated their effectiveness. Through an extensive simulation study and real data analysis, we have shown that a couple of the adapted single-cell RNA-seq algorithms can be powerful for correctly identifying structural zeros and accurately imputing dropout values. Downstream analysis using the imputed values showed considerable improvement for clustering cells of the same types together over clustering results before imputation.
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Affiliation(s)
| | | | - Shili Lin
- Translational Data Analytics Institute at the Ohio State University
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Hematopoietic cellular aging is not accelerated during the first 2 years of life in children born preterm. Pediatr Res 2020; 88:903-909. [PMID: 32170191 PMCID: PMC7086539 DOI: 10.1038/s41390-020-0833-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 02/10/2020] [Accepted: 02/19/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND Prematurity in itself and exposure to neonatal intensive care triggers inflammatory processes and oxidative stress, leading to risk for disease later in life. The effects on cellular aging processes are incompletely understood. METHODS Relative telomere length (RTL) was measured by qPCR in this longitudinal cohort study with blood samples taken at birth and at 2 years of age from 60 children (16 preterm and 44 term). Viral respiratory infections the first year were evaluated. Epigenetic biological DNA methylation (DNAm) age was predicted based on methylation array data in 23 children (11 preterm and 12 term). RTL change/year and DNAm age change/year was compared in preterm and term during the 2 first years of life. RESULTS Preterm infants had longer telomeres than term born at birth and at 2 years of age, but no difference in telomere attrition rate could be detected. Predicted epigenetic DNAm age was younger in preterm infants, but rate of DNAm aging was similar in both groups. CONCLUSIONS Despite early exposure to risk factors for accelerated cellular aging, children born preterm exhibited preserved telomeres. Stress during the neonatal intensive care period did not reflect accelerated epigenetic DNAm aging. Early-life aging was not explained by preterm birth. IMPACT Preterm birth is associated with elevated disease risk later in life. Preterm children often suffer from inflammation early in life. Stress-related telomere erosion during neonatal intensive care has been proposed. Inflammation-accelerated biological aging in preterm is unknown. We find no accelerated aging due to prematurity or infections during the first 2 years of life.
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Short AK, Baram TZ. Early-life adversity and neurological disease: age-old questions and novel answers. Nat Rev Neurol 2019; 15:657-669. [PMID: 31530940 PMCID: PMC7261498 DOI: 10.1038/s41582-019-0246-5] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2019] [Indexed: 12/24/2022]
Abstract
Neurological illnesses, including cognitive impairment, memory decline and dementia, affect over 50 million people worldwide, imposing a substantial burden on individuals and society. These disorders arise from a combination of genetic, environmental and experiential factors, with the latter two factors having the greatest impact during sensitive periods in development. In this Review, we focus on the contribution of adverse early-life experiences to aberrant brain maturation, which might underlie vulnerability to cognitive brain disorders. Specifically, we draw on recent robust discoveries from diverse disciplines, encompassing human studies and experimental models. These discoveries suggest that early-life adversity, especially in the perinatal period, influences the maturation of brain circuits involved in cognition. Importantly, new findings suggest that fragmented and unpredictable environmental and parental signals comprise a novel potent type of adversity, which contributes to subsequent vulnerabilities to cognitive illnesses via mechanisms involving disordered maturation of brain 'wiring'.
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Affiliation(s)
- Annabel K Short
- Departments of Anatomy and Neruobiology, University of California-Irvine, Irvine, CA, USA
- Departments of Pediatrics, University of California-Irvine, Irvine, CA, USA
| | - Tallie Z Baram
- Departments of Anatomy and Neruobiology, University of California-Irvine, Irvine, CA, USA.
- Departments of Pediatrics, University of California-Irvine, Irvine, CA, USA.
- Departments of Neurology, University of California-Irvine, Irvine, CA, USA.
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Maternal and Post-weaning High-Fat Diets Produce Distinct DNA Methylation Patterns in Hepatic Metabolic Pathways within Specific Genomic Contexts. Int J Mol Sci 2019; 20:ijms20133229. [PMID: 31262088 PMCID: PMC6651091 DOI: 10.3390/ijms20133229] [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: 05/28/2019] [Revised: 06/24/2019] [Accepted: 06/26/2019] [Indexed: 02/07/2023] Open
Abstract
Calorie-dense high-fat diets (HF) are associated with detrimental health outcomes, including obesity, cardiovascular disease, and diabetes. Both pre- and post-natal HF diets have been hypothesized to negatively impact long-term metabolic health via epigenetic mechanisms. To understand how the timing of HF diet intake impacts DNA methylation and metabolism, male Sprague–Dawley rats were exposed to either maternal HF (MHF) or post-weaning HF diet (PHF). At post-natal week 12, PHF rats had similar body weights but greater hepatic lipid accumulation compared to the MHF rats. Genome-wide DNA methylation was evaluated, and analysis revealed 1744 differentially methylation regions (DMRs) between the groups with the majority of the DMR located outside of gene-coding regions. Within differentially methylated genes (DMGs), intragenic DNA methylation closer to the transcription start site was associated with lower gene expression, whereas DNA methylation further downstream was positively correlated with gene expression. The insulin and phosphatidylinositol (PI) signaling pathways were enriched with 25 DMRs that were associated with 20 DMGs, including PI3 kinase (Pi3k), pyruvate kinase (Pklr), and phosphodiesterase 3 (Pde3). Together, these results suggest that the timing of HF diet intake determines DNA methylation and gene expression patterns in hepatic metabolic pathways that target specific genomic contexts.
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Kochmanski J, Goodrich JM, Peterson KE, Lumeng JC, Dolinoy DC. Neonatal bloodspot DNA methylation patterns are associated with childhood weight status in the Healthy Families Project. Pediatr Res 2019; 85:848-855. [PMID: 30425339 PMCID: PMC6494701 DOI: 10.1038/s41390-018-0227-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 09/19/2018] [Accepted: 10/14/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND This study measured longitudinal DNA methylation dynamics at growth-related genes during childhood, and then tested whether DNA methylation at various stages of childhood was associated with obesity status. METHODS Using neonatal bloodspot (n = 132) and matched childhood blood samples (n = 65), DNA methylation was quantified at a repetitive element (long interspersed nuclear element-1 (LINE-1)), two imprinted genes (IGF2, H19), and four non-imprinted genes (LEP, PPARA, ESR1, SREBF1) related to growth and adiposity. Logistic regression was used to test whether neonatal bloodspot DNA methylation at target genes was associated with log odds of obesity (Y/N) in children recruited from three age groups-12-24 months old (n = 40), 3-5 years of age (n = 40), and 10-12 years of age (n = 52). RESULTS In 3-5 year olds, neonatal bloodspot LINE-1 methylation was negatively associated with obesity (log odds = -0.40, p = 0.04). Across childhood age group in matched blood samples, DNA methylation levels in blood decreased (p < 0.05) at LINE-1, PPARA, ESR1, SREBF1, IGF2, and H19, and increased (p < 0.05) at LEP. CONCLUSIONS Our results suggest that age-related epigenetic changes occur at growth-related genes in the first decade of life, and that gene-specific neonatal bloodspot DNA methylation may be a useful biomarker of obesity likelihood during childhood.
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Affiliation(s)
- Joseph Kochmanski
- Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jaclyn M Goodrich
- Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Karen E Peterson
- Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Julie C Lumeng
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Dana C Dolinoy
- Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
- Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
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15
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Graw S, Henn R, Thompson JA, Koestler DC. pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS). BMC Bioinformatics 2019; 20:218. [PMID: 31035919 PMCID: PMC6489300 DOI: 10.1186/s12859-019-2804-7] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 04/10/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND When designing an epigenome-wide association study (EWAS) to investigate the relationship between DNA methylation (DNAm) and some exposure(s) or phenotype(s), it is critically important to assess the sample size needed to detect a hypothesized difference with adequate statistical power. However, the complex and nuanced nature of DNAm data makes direct assessment of statistical power challenging. To circumvent these challenges and to address the outstanding need for a user-friendly interface for EWAS power evaluation, we have developed pwrEWAS. RESULTS The current implementation of pwrEWAS accommodates power estimation for two-group comparisons of DNAm (e.g. case vs control, exposed vs non-exposed, etc.), where methylation assessment is carried out using the Illumina Human Methylation BeadChip technology. Power is calculated using a semi-parametric simulation-based approach in which DNAm data is randomly generated from beta-distributions using CpG-specific means and variances estimated from one of several different existing DNAm data sets, chosen to cover the most common tissue-types used in EWAS. In addition to specifying the tissue type to be used for DNAm profiling, users are required to specify the sample size, number of differentially methylated CpGs, effect size(s) (Δβ), target false discovery rate (FDR) and the number of simulated data sets, and have the option of selecting from several different statistical methods to perform differential methylation analyses. pwrEWAS reports the marginal power, marginal type I error rate, marginal FDR, and false discovery cost (FDC). Here, we demonstrate how pwrEWAS can be applied in practice using a hypothetical EWAS. In addition, we report its computational efficiency across a variety of user settings. CONCLUSION Both under- and overpowered studies unnecessarily deplete resources and even risk failure of a study. With pwrEWAS, we provide a user-friendly tool to help researchers circumvent these risks and to assist in the design and planning of EWAS. AVAILABILITY The web interface is written in the R statistical programming language using Shiny (RStudio Inc., 2016) and is available at https://biostats-shinyr.kumc.edu/pwrEWAS/ . The R package for pwrEWAS is publicly available at GitHub ( https://github.com/stefangraw/pwrEWAS ).
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Affiliation(s)
- Stefan Graw
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS USA
| | - Rosalyn Henn
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS USA
| | - Jeffrey A. Thompson
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS USA
| | - Devin C. Koestler
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS USA
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16
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Viitaniemi HM, Verhagen I, Visser ME, Honkela A, van Oers K, Husby A. Seasonal Variation in Genome-Wide DNA Methylation Patterns and the Onset of Seasonal Timing of Reproduction in Great Tits. Genome Biol Evol 2019; 11:970-983. [PMID: 30840074 PMCID: PMC6447391 DOI: 10.1093/gbe/evz044] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2019] [Indexed: 02/06/2023] Open
Abstract
In seasonal environments, timing of reproduction is a trait with important fitness consequences, but we know little about the molecular mechanisms that underlie the variation in this trait. Recently, several studies put forward DNA methylation as a mechanism regulating seasonal timing of reproduction in both plants and animals. To understand the involvement of DNA methylation in seasonal timing of reproduction, it is necessary to examine within-individual temporal changes in DNA methylation, but such studies are very rare. Here, we use a temporal sampling approach to examine changes in DNA methylation throughout the breeding season in female great tits (Parus major) that were artificially selected for early timing of breeding. These females were housed in climate-controlled aviaries and subjected to two contrasting temperature treatments. Reduced representation bisulfite sequencing on red blood cell derived DNA showed genome-wide temporal changes in more than 40,000 out of the 522,643 CpG sites examined. Although most of these changes were relatively small (mean within-individual change of 6%), the sites that showed a temporal and treatment-specific response in DNA methylation are candidate sites of interest for future studies trying to understand the link between DNA methylation patterns and timing of reproduction.
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Affiliation(s)
- Heidi M Viitaniemi
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Finland
| | - Irene Verhagen
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Marcel E Visser
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Antti Honkela
- Helsinki Institute for Information Technology HIIT, Department of Mathematics and Statistics, University of Helsinki, Finland
- Department of Public Health, University of Helsinki, Finland
| | - Kees van Oers
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Arild Husby
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Finland
- Department of Ecology and Genetics, EBC, Uppsala University, Sweden
- Centre for Biodiversity Dynamics, NTNU, Trondheim, Norway
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17
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Epigenetic age acceleration is associated with allergy and asthma in children in Project Viva. J Allergy Clin Immunol 2019; 143:2263-2270.e14. [PMID: 30738172 DOI: 10.1016/j.jaci.2019.01.034] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 01/14/2019] [Accepted: 01/17/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND Epigenetic clocks have been suggested to capture one feature of the complexity between aging and the epigenome. However, little is known about the epigenetic clock in childhood allergy and asthma. OBJECTIVE We sought to examine associations of DNA methylation age (DNAmAge) and epigenetic age acceleration with childhood allergy and asthma. METHODS We calculated DNAmAge and age acceleration at birth, early childhood, and midchildhood based on the IlluminaHumanMethylation450BeadChip in Project Viva. We evaluated epigenetic clock associations with allergy and asthma using covariate-adjusted linear and logistic regressions. We attempted to replicate our findings in the Genetics of Asthma in Costa Rica Study. RESULTS At midchildhood (mean age, 7.8 years) in Project Viva, DNAmAge and age acceleration were cross-sectionally associated with greater total serum IgE levels and greater odds of atopic sensitization. Every 1-year increase in intrinsic epigenetic age acceleration was associated with a 1.22 (95% CI, 1.07-1.39), 1.17 (95% CI, 1.03-1.34), and 1.29 (95% CI, 1.12-1.49) greater odds of atopic sensitization and environmental and food allergen sensitization. DNAmAge and extrinsic epigenetic age acceleration were also cross-sectionally associated with current asthma at midchildhood. DNAmAge and age acceleration at birth and early childhood were not associated with midchildhood allergy or asthma. The midchildhood association between age acceleration and atopic sensitization were replicated in an independent data set. CONCLUSIONS Because the epigenetic clock might reflect immune and developmental components of biological aging, our study suggests pathways through which molecular epigenetic mechanisms of immunity, development, and maturation can interact along the age axis and associate with childhood allergy and asthma by midchildhood.
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18
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Alfano R, Guida F, Galobardes B, Chadeau-Hyam M, Delpierre C, Ghantous A, Henderson J, Herceg Z, Jain P, Nawrot TS, Relton C, Vineis P, Castagné R, Plusquin M. Socioeconomic position during pregnancy and DNA methylation signatures at three stages across early life: epigenome-wide association studies in the ALSPAC birth cohort. Int J Epidemiol 2019; 48:30-44. [PMID: 30590607 PMCID: PMC6443021 DOI: 10.1093/ije/dyy259] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 11/06/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Socioeconomic experiences are recognized determinants of health, and recent work has shown that social disadvantages in early life may induce sustained biological changes at molecular level that are detectable later in life. However, the dynamics and persistence of biological embedding of socioeconomic position (SEP) remains vastly unexplored. METHODS Using the data from the ALSPAC birth cohort, we performed epigenome-wide association studies of DNA methylation changes at three life stages (birth, n = 914; childhood at mean age 7.5 years, n = 973; and adolescence at mean age 15.5 years, n = 974), measured using the Illumina HumanMethylation450 Beadchip, in relation to pregnancy SEP indicators (maternal and paternal education and occupation). RESULTS Across the four early life SEP metrics investigated, only maternal education was associated with methylation levels at birth, and four CpGs mapped to SULF1, GLB1L2 and RPUSD1 genes were identified [false discovery rate (FDR)-corrected P-value <0.05]. No epigenetic signature was found associated with maternal education in child samples, but methylation levels at 20 CpG loci were found significantly associated with maternal education in adolescence. Although no overlap was found between the differentially methylated CpG sites at different ages, we identified two CpG sites at birth and during adolescence which are 219 bp apart in the SULF1 gene that encodes an heparan sulphatase involved in modulation of signalling pathways. Using data from an independent birth cohort, the ENVIRONAGE cohort, we were not able to replicate these findings. CONCLUSIONS Taken together, our results suggest that parental SEP, and particularly maternal education, may influence the offspring's methylome at birth and adolescence.
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Affiliation(s)
- Rossella Alfano
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Florence Guida
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
| | - Bruna Galobardes
- Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Cyrille Delpierre
- INSERM, UMR1027, Université Toulouse III-Paul Sabatier, Toulouse, France
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer (IARC), Lyon, France
| | - John Henderson
- Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer (IARC), Lyon, France
| | - Pooja Jain
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- NIHR-Health Protection Research Unit, Respiratory Infections and Immunity, Imperial College London, London, UK
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
- IIGM, Italian Institute for Genomic Medicine, Turin, Italy
| | - Raphaële Castagné
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- INSERM, UMR1027, Université Toulouse III-Paul Sabatier, Toulouse, France
| | - Michelle Plusquin
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, UK
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
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19
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Pérez RF, Santamarina P, Tejedor JR, Urdinguio RG, Álvarez-Pitti J, Redon P, Fernández AF, Fraga MF, Lurbe E. Longitudinal genome-wide DNA methylation analysis uncovers persistent early-life DNA methylation changes. J Transl Med 2019; 17:15. [PMID: 30626398 PMCID: PMC6327427 DOI: 10.1186/s12967-018-1751-9] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 12/17/2018] [Indexed: 01/08/2023] Open
Abstract
Background Early life is a period of drastic epigenetic remodeling in which the epigenome is especially sensitive to extrinsic and intrinsic influence. However, the epigenome-wide dynamics of the DNA methylation changes that occur during this period have not been sufficiently characterized in longitudinal studies. Methods To this end, we studied the DNA methylation status of more than 750,000 CpG sites using Illumina MethylationEPIC arrays on 33 paired blood samples from 11 subjects at birth and at 5 and 10 years of age, then characterized the chromatin context associated with these loci by integrating our data with histone, chromatin-state and enhancer-element external datasets, and, finally, validated our results through bisulfite pyrosequencing in two independent longitudinal cohorts of 18 additional subjects. Results We found abundant DNA methylation changes (110,726 CpG sites) during the first lustrum of life, while far fewer alterations were observed in the subsequent 5 years (460 CpG sites). However, our analysis revealed persistent DNA methylation changes at 240 CpG sites, indicating that there are genomic locations of considerable epigenetic change beyond immediate birth. The chromatin context of hypermethylation changes was associated with repressive genomic locations and genes with developmental and cell signaling functions, while hypomethylation changes were linked to enhancer regions and genes with immunological and mRNA and protein metabolism functions. Significantly, our results show that genes that suffer simultaneous hyper- and hypomethylation are functionally distinct from exclusively hyper- or hypomethylated genes, and that enhancer-associated methylation is different in hyper- and hypomethylation scenarios, with hypomethylation being more associated to epigenetic changes at blood tissue-specific enhancer elements. Conclusions These data show that epigenetic remodeling is dramatically reduced after the first 5 years of life. However, there are certain loci which continue to manifest DNA methylation changes, pointing towards a possible functionality beyond early development. Furthermore, our results deepen the understanding of the genomic context associated to hyper- or hypomethylation alterations during time, suggesting that hypomethylation of blood tissue-specific enhancer elements could be of importance in the establishment of functional states in blood tissue during early-life. Electronic supplementary material The online version of this article (10.1186/s12967-018-1751-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Raúl F Pérez
- Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA)-Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)-Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Asturias, Spain.,Nanomedicine Group, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), Universidad de Oviedo, 33940, Oviedo, Asturias, Spain
| | - Pablo Santamarina
- Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA)-Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)-Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Asturias, Spain.,Nanomedicine Group, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), Universidad de Oviedo, 33940, Oviedo, Asturias, Spain
| | - Juan Ramón Tejedor
- Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA)-Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)-Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Asturias, Spain
| | - Rocío G Urdinguio
- Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA)-Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)-Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Asturias, Spain
| | - Julio Álvarez-Pitti
- Servicio de Pediatría, Consorcio Hospital General Universitario de Valencia, 46014, Valencia, Spain.,Centros de Investigación Biomédica en Red de Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Madrid, Spain
| | - Pau Redon
- Servicio de Pediatría, Consorcio Hospital General Universitario de Valencia, 46014, Valencia, Spain.,Centros de Investigación Biomédica en Red de Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Madrid, Spain
| | - Agustín F Fernández
- Cancer Epigenetics Laboratory, Institute of Oncology of Asturias (IUOPA)-Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)-Hospital Universitario Central de Asturias (HUCA), 33011, Oviedo, Asturias, Spain
| | - Mario F Fraga
- Nanomedicine Group, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), Universidad de Oviedo, 33940, Oviedo, Asturias, Spain.
| | - Empar Lurbe
- Servicio de Pediatría, Consorcio Hospital General Universitario de Valencia, 46014, Valencia, Spain. .,Centros de Investigación Biomédica en Red de Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Madrid, Spain.
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20
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Elbere I, Silamikelis I, Ustinova M, Kalnina I, Zaharenko L, Peculis R, Konrade I, Ciuculete DM, Zhukovsky C, Gudra D, Radovica-Spalvina I, Fridmanis D, Pirags V, Schiöth HB, Klovins J. Significantly altered peripheral blood cell DNA methylation profile as a result of immediate effect of metformin use in healthy individuals. Clin Epigenetics 2018; 10:156. [PMID: 30545422 PMCID: PMC6293577 DOI: 10.1186/s13148-018-0593-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 11/29/2018] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Metformin is a widely prescribed antihyperglycemic agent that has been also associated with multiple therapeutic effects in various diseases, including several types of malignancies. There is growing evidence regarding the contribution of the epigenetic mechanisms in reaching metformin's therapeutic goals; however, the effect of metformin on human cells in vivo is not comprehensively studied. The aim of our study was to examine metformin-induced alterations of DNA methylation profiles in white blood cells of healthy volunteers, employing a longitudinal study design. RESULTS Twelve healthy metformin-naïve individuals where enrolled in the study. Genome-wide DNA methylation pattern was estimated at baseline, 10 h and 7 days after the start of metformin administration. The whole-genome DNA methylation analysis in total revealed 125 differentially methylated CpGs, of which 11 CpGs and their associated genes with the most consistent changes in the DNA methylation profile were selected: POFUT2, CAMKK1, EML3, KIAA1614, UPF1, MUC4, LOC727982, SIX3, ADAM8, SNORD12B, VPS8, and several differentially methylated regions as novel potential epigenetic targets of metformin. The main functions of the majority of top-ranked differentially methylated loci and their representative cell signaling pathways were linked to the well-known metformin therapy targets: regulatory processes of energy homeostasis, inflammatory responses, tumorigenesis, and neurodegenerative diseases. CONCLUSIONS Here we demonstrate for the first time the immediate effect of short-term metformin administration at therapeutic doses on epigenetic regulation in human white blood cells. These findings suggest the DNA methylation process as one of the mechanisms involved in the action of metformin, thereby revealing novel targets and directions of the molecular mechanisms underlying the various beneficial effects of metformin. TRIAL REGISTRATION EU Clinical Trials Register, 2016-001092-74. Registered 23 March 2017, https://www.clinicaltrialsregister.eu/ctr-search/trial/2016-001092-74/LV .
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Affiliation(s)
- Ilze Elbere
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Ivars Silamikelis
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Monta Ustinova
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Ineta Kalnina
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Linda Zaharenko
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Raitis Peculis
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Ilze Konrade
- Riga East Clinical University Hospital, 2 Hipokrata Street, Riga, LV-1038, Latvia
| | - Diana Maria Ciuculete
- Department of Neuroscience, Functional Pharmacology, Uppsala University, BMC, Box 593, 751 24, Uppsala, Sweden
| | - Christina Zhukovsky
- Department of Neuroscience, Functional Pharmacology, Uppsala University, BMC, Box 593, 751 24, Uppsala, Sweden
| | - Dita Gudra
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Ilze Radovica-Spalvina
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Davids Fridmanis
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Valdis Pirags
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia
| | - Helgi B Schiöth
- Department of Neuroscience, Functional Pharmacology, Uppsala University, BMC, Box 593, 751 24, Uppsala, Sweden
| | - Janis Klovins
- Latvian Biomedical Research and Study Centre, Ratsupites Str. 1 k-1, Riga, LV-1067, Latvia.
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Liu J, Chen J, Perrone-Bizzozero N, Calhoun VD. A Perspective of the Cross-Tissue Interplay of Genetics, Epigenetics, and Transcriptomics, and Their Relation to Brain Based Phenotypes in Schizophrenia. Front Genet 2018; 9:343. [PMID: 30190726 PMCID: PMC6115489 DOI: 10.3389/fgene.2018.00343] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 08/09/2018] [Indexed: 12/11/2022] Open
Abstract
Genetic association studies of psychiatric disorders have provided unprecedented insight into disease risk profiles with high confidence. Yet, the next research challenge is how to translate this rich information into mechanisms of disease, and further help interventions and treatments. Given other comprehensive reviews elsewhere, here we want to discuss the research approaches that integrate information across various tissue types. Taking schizophrenia as an example, the tissues, cells, or organisms being investigated include postmortem brain tissues or neurons, peripheral blood and saliva, in vivo brain imaging, and in vitro cell lines, particularly human induced pluripotent stem cells (iPSC) and iPSC derived neurons. There is a wealth of information on the molecular signatures including genetics, epigenetics, and transcriptomics of various tissues, along with neuronal phenotypic measurements including neuronal morphometry and function, together with brain imaging and other techniques that provide data from various spatial temporal points of disease development. Through consistent or complementary processes across tissues, such as cross-tissue methylation quantitative trait loci (QTL) and expression QTL effects, systemic integration of such information holds the promise to put the pieces of puzzle together for a more complete view of schizophrenia disease pathogenesis.
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Affiliation(s)
- Jingyu Liu
- Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, United States
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, United States
| | - Jiayu Chen
- Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, United States
| | - Nora Perrone-Bizzozero
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, United States
| | - Vince D. Calhoun
- Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, United States
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, United States
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Salas LA, Wiencke JK, Koestler DC, Zhang Z, Christensen BC, Kelsey KT. Tracing human stem cell lineage during development using DNA methylation. Genome Res 2018; 28:1285-1295. [PMID: 30072366 PMCID: PMC6120629 DOI: 10.1101/gr.233213.117] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 07/27/2018] [Indexed: 12/22/2022]
Abstract
Stem cell maturation is a fundamental, yet poorly understood aspect of human development. We devised a DNA methylation signature deeply reminiscent of embryonic stem cells (a fetal cell origin signature, FCO) to interrogate the evolving character of multiple human tissues. The cell fraction displaying this FCO signature was highly dependent upon developmental stage (fetal versus adult), and in leukocytes, it described a dynamic transition during the first 5 yr of life. Significant individual variation in the FCO signature of leukocytes was evident at birth, in childhood, and throughout adult life. The genes characterizing the signature included transcription factors and proteins intimately involved in embryonic development. We defined and applied a DNA methylation signature common among human fetal hematopoietic progenitor cells and have shown that this signature traces the lineage of cells and informs the study of stem cell heterogeneity in humans under homeostatic conditions.
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Affiliation(s)
- Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, USA
| | - John K Wiencke
- Department of Neurological Surgery, Institute for Human Genetics, University of California San Francisco, San Francisco, California 94158, USA
| | - Devin C Koestler
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas 66160, USA
| | - Ze Zhang
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, USA.,Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island 02912, USA
| | - Brock C Christensen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, USA.,Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, USA.,Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire 03756, USA
| | - Karl T Kelsey
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, USA.,Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island 02912, USA
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23
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Salas LA, Koestler DC, Butler RA, Hansen HM, Wiencke JK, Kelsey KT, Christensen BC. An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray. Genome Biol 2018; 19:64. [PMID: 29843789 PMCID: PMC5975716 DOI: 10.1186/s13059-018-1448-7] [Citation(s) in RCA: 257] [Impact Index Per Article: 36.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 05/08/2018] [Indexed: 11/23/2022] Open
Abstract
Genome-wide methylation arrays are powerful tools for assessing cell composition of complex mixtures. We compare three approaches to select reference libraries for deconvoluting neutrophil, monocyte, B-lymphocyte, natural killer, and CD4+ and CD8+ T-cell fractions based on blood-derived DNA methylation signatures assayed using the Illumina HumanMethylationEPIC array. The IDOL algorithm identifies a library of 450 CpGs, resulting in an average R2 = 99.2 across cell types when applied to EPIC methylation data collected on artificial mixtures constructed from the above cell types. Of the 450 CpGs, 69% are unique to EPIC. This library has the potential to reduce unintended technical differences across array platforms.
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Affiliation(s)
- Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Devin C Koestler
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Rondi A Butler
- Departments of Epidemiology and Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Helen M Hansen
- Department of Neurological Surgery, Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - John K Wiencke
- Department of Neurological Surgery, Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Karl T Kelsey
- Departments of Epidemiology and Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Brock C Christensen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
- Departments of Molecular and Systems Biology, and Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA.
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24
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Frobel J, Rahmig S, Franzen J, Waskow C, Wagner W. Epigenetic aging of human hematopoietic cells is not accelerated upon transplantation into mice. Clin Epigenetics 2018; 10:67. [PMID: 29796118 PMCID: PMC5964682 DOI: 10.1186/s13148-018-0499-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 05/09/2018] [Indexed: 12/12/2022] Open
Abstract
Background Transplantation of human hematopoietic stem cells into immunodeficient mice provides a powerful in vivo model system to gain functional insights into hematopoietic differentiation. So far, it remains unclear if epigenetic changes of normal human hematopoiesis are recapitulated upon engraftment into such “humanized mice.” Mice have a much shorter life expectancy than men, and therefore, we hypothesized that the xenogeneic environment might greatly accelerate the epigenetic clock. Results We demonstrate that genome-wide DNA methylation patterns of normal human hematopoietic development are indeed recapitulated upon engraftment in mice—particularly those of normal early B cell progenitor cells. Furthermore, we tested three epigenetic aging signatures, and none of them indicated that the murine environment accelerated age-associated DNA methylation changes. Conclusions Epigenetic changes of human hematopoietic development are recapitulated in the murine transplantation model, whereas epigenetic aging is not accelerated by the faster aging environment and seems to occur in the cell intrinsically.
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Affiliation(s)
- Joana Frobel
- 1Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Pauwelsstraße 20, 52074 Aachen, Germany
| | - Susann Rahmig
- 2Regeneration in Hematopoiesis, Institute for Immunology, Technical University Dresden, Dresden, Germany
| | - Julia Franzen
- 1Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Pauwelsstraße 20, 52074 Aachen, Germany
| | - Claudia Waskow
- 2Regeneration in Hematopoiesis, Institute for Immunology, Technical University Dresden, Dresden, Germany
| | - Wolfgang Wagner
- 1Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Pauwelsstraße 20, 52074 Aachen, Germany
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25
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Plusquin M, Chadeau-Hyam M, Ghantous A, Alfano R, Bustamante M, Chatzi L, Cuenin C, Gulliver J, Herceg Z, Kogevinas M, Nawrot TS, Pizzi C, Porta D, Relton CL, Richiardi L, Robinson O, Sunyer J, Vermeulen R, Vriens A, Vrijheid M, Henderson J, Vineis P. DNA Methylome Marks of Exposure to Particulate Matter at Three Time Points in Early Life. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:5427-5437. [PMID: 29597345 DOI: 10.1021/acs.est.7b06447] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Maternal exposure to airborne particulate matter (PM) has been associated with restricted fetal growth and reduced birthweight. Here, we performed methylome-wide analyses of cord and children's blood DNA in relation to residential exposure to PM smaller than 10 μm (PM10). This study included participants of the Avon Longitudinal Study of Pregnancy and Childhood (ALSPAC, cord blood, n = 780; blood at age 7, n = 757 and age 15-17, n = 850) and the EXPOsOMICS birth cohort consortium including cord blood from ENVIR ONAGE ( n = 197), INMA ( n = 84), Piccolipiù ( n = 99) and Rhea ( n = 75). We could not identify significant CpG sites, by meta-analyzing associations between maternal PM10 exposure during pregnancy and DNA methylation in cord blood, nor by studying DNA methylation and concordant annual exposure at 7 and 15-17 years. The CpG cg21785536 was inversely associated with PM10 exposure using a longitudinal model integrating the three studied age groups (-1.2% per 10 μg/m3; raw p-value = 3.82 × 10-8). Pathway analyses on the corresponding genes of the 100 strongest associated CpG sites of the longitudinal model revealed enriched pathways relating to the GABAergic synapse, p53 signaling and NOTCH1. We provided evidence that residential PM10 exposure in early life affects methylation of the CpG cg21785536 located on the EGF Domain Specific O-Linked N-Acetylglucosamine Transferase gene.
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Affiliation(s)
- Michelle Plusquin
- Centre for Environmental Sciences , Hasselt University , Hasselt , Belgium
- Department of Epidemiology and Biostatistics, The School of Public Health , Imperial College London , London , United Kingdom
- Medical Research Council-Health Protection Agency Centre for Environment and Health , Imperial College London , London , United Kingdom
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, The School of Public Health , Imperial College London , London , United Kingdom
- Medical Research Council-Health Protection Agency Centre for Environment and Health , Imperial College London , London , United Kingdom
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology , Utrecht University , Utrecht , The Netherlands
| | - Akram Ghantous
- International Agency for Research on Cancer (IARC) , 150 Cours Albert-Thomas , 69008 Lyon , France
| | - Rossella Alfano
- Centre for Environmental Sciences , Hasselt University , Hasselt , Belgium
- Department of Epidemiology and Biostatistics, The School of Public Health , Imperial College London , London , United Kingdom
- Medical Research Council-Health Protection Agency Centre for Environment and Health , Imperial College London , London , United Kingdom
| | - Mariona Bustamante
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology , Barcelona , Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP) , Madrid , Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona, Catalonia , Spain
| | - Leda Chatzi
- Department of Preventive Medicine , University of Southern California , Los Angeles , California 90007 , United States
- Department of Social Medicine , University of Crete , Heraklion, Crete , Greece
| | - Cyrille Cuenin
- International Agency for Research on Cancer (IARC) , 150 Cours Albert-Thomas , 69008 Lyon , France
| | - John Gulliver
- Medical Research Council-Health Protection Agency Centre for Environment and Health , Imperial College London , London , United Kingdom
| | - Zdenko Herceg
- International Agency for Research on Cancer (IARC) , 150 Cours Albert-Thomas , 69008 Lyon , France
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP) , Madrid , Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona, Catalonia , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
| | - Tim S Nawrot
- Centre for Environmental Sciences , Hasselt University , Hasselt , Belgium
- Environment & Health Unit Leuven University , Leuven , Belgium
| | - Costanza Pizzi
- Cancer Epidemiology Unit-CERMS, Department of Medical Sciences , University of Turin and CPO-Piemonte , Torino , Italy
| | - Daniela Porta
- Department of Epidemiology of the Lazio Regional Health Service , Rome , Italy
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School , University of Bristol , Bristol , U.K
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit-CERMS, Department of Medical Sciences , University of Turin and CPO-Piemonte , Torino , Italy
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, The School of Public Health , Imperial College London , London , United Kingdom
- Medical Research Council-Health Protection Agency Centre for Environment and Health , Imperial College London , London , United Kingdom
| | - Jordi Sunyer
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP) , Madrid , Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
| | - Roel Vermeulen
- Medical Research Council-Health Protection Agency Centre for Environment and Health , Imperial College London , London , United Kingdom
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology , Utrecht University , Utrecht , The Netherlands
| | - Annette Vriens
- Centre for Environmental Sciences , Hasselt University , Hasselt , Belgium
| | - Martine Vrijheid
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP) , Madrid , Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona, Catalonia , Spain
| | - John Henderson
- Department of Population Health Sciences, Bristol Medical School , University of Bristol , Bristol , U.K
| | - Paolo Vineis
- Centre for Environmental Sciences , Hasselt University , Hasselt , Belgium
- Department of Epidemiology and Biostatistics, The School of Public Health , Imperial College London , London , United Kingdom
- IIGM, Italian Institute for Genomic Medicine , Turin , Italy
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26
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Taylor RM, Smith R, Collins CE, Mossman D, Wong-Brown MW, Chan EC, Evans TJ, Attia JR, Smith T, Butler T, Hure AJ. Methyl-Donor and Cofactor Nutrient Intakes in the First 2-3 Years and Global DNA Methylation at Age 4: A Prospective Cohort Study. Nutrients 2018; 10:E273. [PMID: 29495543 PMCID: PMC5872691 DOI: 10.3390/nu10030273] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 02/13/2018] [Accepted: 02/13/2018] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND During the early postnatal period, the impact of nutrition on DNA methylation has not been well studied in humans. The aim was to quantify the relationship between one-carbon metabolism nutrient intake during the first three years of life and global DNA methylation levels at four years. DESIGN Childhood dietary intake was assessed using infant feeding questionnaires, food frequency questionnaires, 4-day weighed food records and 24-h food records. The dietary records were used to estimate the intake of methionine, folate, vitamins B2, B6 and B12 and choline. The accumulative nutrient intake specific rank from three months to three years of age was used for analysis. Global DNA methylation (%5-methyl cytosines (%5-mC)) was measured in buccal cells at four years of age, using an enzyme-linked immunosorbent assay (ELISA) commercial kit. Linear regression models were used to quantify the statistical relationships. RESULTS Data were collected from 73 children recruited from the Women and their Children's Health (WATCH) study. No association was found between one-carbon metabolism nutrient intake and global DNA methylation levels (P > 0.05). Global DNA methylation levels in males were significantly higher than in females (median %5-mC: 1.82 vs. 1.03, males and females respectively, (P < 0.05)). CONCLUSION No association was found between the intake of one-carbon metabolism nutrients during the early postnatal period and global DNA methylation levels at age four years. Higher global DNA methylation levels in males warrants further investigation.
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Affiliation(s)
- Rachael M. Taylor
- Priority Research Centre for Reproductive Science, University of Newcastle, Callaghan, NSW 2308, Australia; (R.S.); (C.E.C.); (T.S.); (T.B.)
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
| | - Roger Smith
- Priority Research Centre for Reproductive Science, University of Newcastle, Callaghan, NSW 2308, Australia; (R.S.); (C.E.C.); (T.S.); (T.B.)
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
| | - Clare E. Collins
- Priority Research Centre for Reproductive Science, University of Newcastle, Callaghan, NSW 2308, Australia; (R.S.); (C.E.C.); (T.S.); (T.B.)
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia
| | - David Mossman
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
- Department of Molecular Medicine, NSW Health Pathology, John Hunter Hospital, New Lambton Heights, NSW 2305, Australia
| | - Michelle W. Wong-Brown
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
- Faculty of Health, School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Eng-Cheng Chan
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
| | - Tiffany-Jane Evans
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
- Clinical Research Design IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - John R. Attia
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
- Clinical Research Design IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia
| | - Tenele Smith
- Priority Research Centre for Reproductive Science, University of Newcastle, Callaghan, NSW 2308, Australia; (R.S.); (C.E.C.); (T.S.); (T.B.)
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
| | - Trent Butler
- Priority Research Centre for Reproductive Science, University of Newcastle, Callaghan, NSW 2308, Australia; (R.S.); (C.E.C.); (T.S.); (T.B.)
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
| | - Alexis J. Hure
- Faculty of Health and Medicine, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (E.-C.C.); (J.R.A.); (A.J.H.)
- Hunter Medical Research Institute, 1 Kookaburra Circuit, New Lambton Heights, NSW 2305, Australia; (D.M.); (M.W.W.-B.); (T.-J.E.)
- Priority Research Centre for Generational, Health and Ageing, University of Newcastle, Callaghan, NSW 2308, Australia
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Item CB, Farhadi S, Schanzer A, Greber-Platzer S. DNA methylated alleles of the phenylalanine hydroxylase promoter remodeled at elevated phenylalanine levels in newborns with hyperphenylalaninemia. Clin Biochem 2017; 50:729-732. [PMID: 28389235 DOI: 10.1016/j.clinbiochem.2017.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 04/03/2017] [Accepted: 04/03/2017] [Indexed: 11/24/2022]
Abstract
OBJECTIVES Although high phenylalanine (phe) exposure has been shown to influence the DNA methylation status of leukocytes in hyperphenylalaninemia (HPA), the potential of DNA methylation changes as a biomarker of pretreatment high phe exposure in diet free newborns with HPA has not been explored. We therefore investigated the DNA methylation pattern of the phenylalanine hydroxylase (PAH) gene promoter at different phe levels, and the possibility of DNA methylation pattern changes being a biomarker of high phe exposure in diet free newborns with HPA. DESIGN AND METHODS With a combination of methylated PCR, high resolution melting, and sequencing, the cytosine phosphodiester bond guanine (CpG) dinucleotides in the 5' untranslated region of the PAH gene were analysed 2-15days after birth using leukocyte DNA from diet free 16 newborns with HPA and 16 healthy controls. RESULTS In 2-3days blood cards, GTGTG and GTGC/TG alleles were both detected at similar low mean phe levels in healthy controls (59.39±14.62 and 55.33±13.43μmol/L) and non-phenylketonuria (PKU) HPA (265.00 and 244.25±73.73μmol/L). In HPA with PKU, the GTGTG and GTGC/TG alleles were both detected at dissimilar elevated mean phe levels (380.80±64.62 and 589.00±191.96μmol/L). In ≥7day blood cards, GTGTG and GTGC/TG alleles were both detected at similar excess mean phe levels in HPA with PKU (2297±374.38 and 1562.66±718.23μmol/L). CONCLUSION The demethylated GTGTG and partial methylated GTGC/TG alleles are not pathogenic alleles. Our results suggest a specific remodeling of the DNA methylated alleles of the PAH promoter at elevated, but not excess phe levels in diet free newborns with PKU.
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Affiliation(s)
- Chike Bellarmine Item
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, Austria.
| | - Somayeh Farhadi
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, Austria
| | - Andrea Schanzer
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, Austria
| | - Susanne Greber-Platzer
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, Austria
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28
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Kochmanski J, Montrose L, Goodrich JM, Dolinoy DC. Environmental Deflection: The Impact of Toxicant Exposures on the Aging Epigenome. Toxicol Sci 2017; 156:325-335. [PMID: 28087834 PMCID: PMC6256948 DOI: 10.1093/toxsci/kfx005] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Epigenetic drift and age-related methylation have both been used in the literature to describe changes in DNA methylation that occurs with aging. However, ambiguity remains regarding the exact definition of both of these terms, and neither of these fields of study explicitly considers the impact of environmental factors on the aging epigenome. Recent twin studies have demonstrated longitudinal, pair-specific discordance in DNA methylation patterns, suggesting an effect of the environment on age-related methylation and/or epigenetic drift. Supporting this idea, other new reports have shown clear environment- and toxicant-mediated shifts away from the baseline rates of age-related methylation and epigenetic drift within an organism, a process we now term "environmental deflection." By defining and delineating environmental deflection, this contemporary review aims to highlight the effects of specific toxicological factors on the rate of DNA methylation changes that occur over the life course. In an effort to inform future epigenetics-based toxicology studies, a field of research now classified as toxicoepigenetics, we provide clear definitions and examples of "epigenetic drift" and "age-related methylation," summarize the recent evidence for environmental deflection of the aging epigenome, and discuss the potential functional effects of environmental deflection.
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Affiliation(s)
| | | | | | - Dana C. Dolinoy
- Environmental Health Sciences
- Nutritional Sciences, School of Public Health, University of Michigan, Washington Heights, Ann Arbor, Michigan 48109
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29
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Janssen BG, Gyselaers W, Byun HM, Roels HA, Cuypers A, Baccarelli AA, Nawrot TS. Placental mitochondrial DNA and CYP1A1 gene methylation as molecular signatures for tobacco smoke exposure in pregnant women and the relevance for birth weight. J Transl Med 2017; 15:5. [PMID: 28052772 PMCID: PMC5209876 DOI: 10.1186/s12967-016-1113-4] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 12/18/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Maternal smoking during pregnancy results in an increased risk of low birth weight through perturbations in the utero-placental exchange. Epigenetics and mitochondrial function in fetal tissues might be molecular signatures responsive to in utero tobacco smoke exposure. METHODS In the framework of the ENVIRONAGE birth cohort, we investigated the effect of self-reported tobacco smoke exposure during pregnancy on birth weight and the relation with placental tissue markers such as, (1) relative mitochondrial DNA (mtDNA) content as determined by real-time quantitative PCR, (2) DNA methylation of specific loci of mtDNA (D-loop and MT-RNR1), and (3) DNA methylation of the biotransformation gene CYP1A1 (the last two determined by bisulfite-pyrosequencing). The total pregnant mother sample included 255 non-smokers, 65 former-smokers who had quit smoking before pregnancy, and 62 smokers who continued smoking during pregnancy. RESULTS Smokers delivered newborns with a birth weight on average 208 g lower [95% confidence interval (CI) -318 to -99, p = 0.0002] than mothers who did not smoke during pregnancy. In the smoker group, the relative mtDNA content was lower (-21.6%, 95% CI -35.4 to -4.9%, p = 0.01) than in the non-smoker group; whereas, absolute mtDNA methylation levels of MT-RNR1 were higher (+0.62%, 95% CI 0.21 to 1.02%, p = 0.003). Lower CpG-specific methylation of CYP1A1 in placental tissue (-4.57%, 95% CI -7.15 to -1.98%, p < 0.0001) were observed in smokers compared with non-smokers. Nevertheless, no mediation of CYP1A1 methylation nor any other investigated molecular signature was observed for the association between tobacco smoke exposure and birth weight. CONCLUSIONS mtDNA content, methylation of specific loci of mtDNA, and CYP1A1 methylation in placental tissue may serve as molecular signatures for the association between gestational tobacco smoke exposure and low birth weight.
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Affiliation(s)
- Bram G Janssen
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Wilfried Gyselaers
- Department of Obstetrics, East-Limburg Hospital, Genk, Belgium.,Department of Physiology, Hasselt University, Diepenbeek, Belgium
| | - Hyang-Min Byun
- Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, 02215, USA
| | - Harry A Roels
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium.,Louvain Centre for Toxicology and Applied Pharmacology (LTAP), Université Catholique de Louvain, Brussels, Belgium
| | - Ann Cuypers
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Andrea A Baccarelli
- Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Harvard School of Public Health, Boston, MA, 02215, USA.,Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium. .,Department of Public Health & Primary Care, Occupational and Environmental Medicine, Leuven University, Louvain, Belgium. .,Centre for Environmental Sciences, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium.
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Gervin K, Andreassen BK, Hjorthaug HS, Carlsen KCL, Carlsen KH, Undlien DE, Lyle R, Munthe-Kaas MC. Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood. Clin Epigenetics 2016; 8:110. [PMID: 27785156 PMCID: PMC5073885 DOI: 10.1186/s13148-016-0277-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 10/14/2016] [Indexed: 11/17/2022] Open
Abstract
Background Several studies have reported age-associated changes in DNA methylation in the first few years of life and in adult populations, but the extent of such changes during childhood is less well studied. The goals of this study were to investigate to what degree intra-individual changes in DNA methylation are associated with aging during childhood and dissect the methylation changes directly associated with aging from the effect mediated through variation in cell-type composition (CTC). Results We performed reduced representation bisulfite sequencing (RRBS) in peripheral whole-blood samples collected at 2, 10, and 16 years of age. We identified age-associated longitudinal changes in DNA methylation at 346 CpGs in 178 genes. Analyses separating the effect mediated by CTC variability across age identified 26 CpGs located in 12 genes that associated directly with age. Hence, the CTC changes across age appear to act as a mediator of the observed DNA methylation associated with age. The results were replicated using EpiTYPER in a second sample set selected from the same cohort. Gene ontology analyses revealed enrichment of transcriptional regulation and developmental processes. Further, comparisons of the mean DNA methylation differences between the time points reveal greater differences between 2 to 10 years and 10 to 16 years, suggesting that the identified age-associated DNA methylation patterns manifests in early childhood. Conclusions This study reveals insights into the epigenetic dynamics associated with aging early in life. Such information could ultimately provide clues and point towards molecular pathways that are susceptible to aging-related disease-associated epigenetic dysregulation. Electronic supplementary material The online version of this article (doi:10.1186/s13148-016-0277-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kristina Gervin
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Bettina Kulle Andreassen
- Department of Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Cancer Registry of Norway, Institute of population based Cancer Research, Oslo, Norway
| | | | | | - Kai-Håkon Carlsen
- Department of Pediatrics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Dag Erik Undlien
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Robert Lyle
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway.,School of Pharmacy, University of Oslo, Oslo, Norway
| | - Monica Cheng Munthe-Kaas
- Department of Pediatrics, Section of Hematology and Oncology, Oslo University Hospital, Oslo, Norway
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