DNA Methylation Patterns in Cord Blood DNA and Body Size in Childhood

Background Epigenetic markings acquired in early life may have phenotypic consequences later in development through their role in transcriptional regulation with relevance to the developmental origins of diseases including obesity. The goal of this study was to investigate whether DNA methylation levels at birth are associated with body size later in childhood. Principal Findings A study design involving two birth cohorts was used to conduct transcription profiling followed by DNA methylation analysis in peripheral blood. Gene expression analysis was undertaken in 24 individuals whose biological samples and clinical data were collected at a mean ± standard deviation (SD) age of 12.35 (0.95) years, the upper and lower tertiles of body mass index (BMI) were compared with a mean (SD) BMI difference of 9.86 (2.37) kg/m2. This generated a panel of differentially expressed genes for DNA methylation analysis which was then undertaken in cord blood DNA in 178 individuals with body composition data prospectively collected at a mean (SD) age of 9.83 (0.23) years. Twenty-nine differentially expressed genes (>1.2-fold and p<10−4) were analysed to determine DNA methylation levels at 1–3 sites per gene. Five genes were unmethylated and DNA methylation in the remaining 24 genes was analysed using linear regression with bootstrapping. Methylation in 9 of the 24 (37.5%) genes studied was associated with at least one index of body composition (BMI, fat mass, lean mass, height) at age 9 years, although only one of these associations remained after correction for multiple testing (ALPL with height, p Corrected = 0.017). Conclusions DNA methylation patterns in cord blood show some association with altered gene expression, body size and composition in childhood. The observed relationship is correlative and despite suggestion of a mechanistic epigenetic link between in utero life and later phenotype, further investigation is required to establish causality.

[1]  P. Vokonas,et al.  Predictors of global methylation levels in blood DNA of healthy subjects: a combined analysis. , 2012, International journal of epidemiology.

[2]  Mark S. Pearce,et al.  Postnatal Growth and DNA Methylation Are Associated With Differential Gene Expression of the TACSTD2 Gene and Childhood Fat Mass , 2012, Diabetes.

[3]  S E Ozanne,et al.  Pathways linking the early environment to long-term health and lifespan. , 2011, Progress in biophysics and molecular biology.

[4]  Philip D. Harvey,et al.  Chronic High-Fat Diet Drives Postnatal Epigenetic Regulation of μ-Opioid Receptor in the Brain , 2011, Neuropsychopharmacology.

[5]  Keith M. Godfrey,et al.  Epigenetic Gene Promoter Methylation at Birth Is Associated With Child’s Later Adiposity , 2011, Diabetes.

[6]  Yoko Ito,et al.  Maternal diet and aging alter the epigenetic control of a promoter–enhancer interaction at the Hnf4a gene in rat pancreatic islets , 2011, Proceedings of the National Academy of Sciences.

[7]  Patrick O. McGowan,et al.  Broad Epigenetic Signature of Maternal Care in the Brain of Adult Rats , 2011, PloS one.

[8]  G. Lettre Recent progress in the study of the genetics of height , 2011, Human Genetics.

[9]  H. Putter,et al.  DNA methylation of IGF2, GNASAS, INSIGF and LEP and being born small for gestational age , 2011, Epigenetics.

[10]  Richard D Emes,et al.  Quantitative, high-resolution epigenetic profiling of CpG loci identifies associations with cord blood plasma homocysteine and birth weight in humans , 2011, Epigenetics.

[11]  R. Santella,et al.  Global methylation profiles in DNA from different blood cell types , 2011, Epigenetics.

[12]  Huidong Shi,et al.  Obesity related methylation changes in DNA of peripheral blood leukocytes , 2010, BMC medicine.

[13]  A. Baccarelli,et al.  Cardiovascular Epigenetics: Basic Concepts and Results From Animal and Human Studies , 2010, Circulation. Cardiovascular genetics.

[14]  P. Vokonas,et al.  Ischemic Heart Disease and Stroke in Relation to Blood DNA Methylation , 2010, Epidemiology.

[15]  John B Carlin,et al.  DNA methylation analysis of multiple tissues from newborn twins reveals both genetic and intrauterine components to variation in the human neonatal epigenome. , 2010, Human molecular genetics.

[16]  A. Baccarelli,et al.  Correlation of Global and Gene-Specific DNA Methylation in Maternal-Infant Pairs , 2010, PloS one.

[17]  Benjamin Tycko,et al.  Allele-specific DNA methylation: beyond imprinting. , 2010, Human molecular genetics.

[18]  Maria Toledo-Rodriguez,et al.  Maternal smoking during pregnancy is associated with epigenetic modifications of the brain‐derived neurotrophic factor‐6 exon in adolescent offspring , 2010, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[19]  J. Mill,et al.  Allele-specific methylation in the human genome , 2010, Epigenetics.

[20]  M. Esteller,et al.  Epigenetic modifications and human disease , 2010, Nature Biotechnology.

[21]  George Davey Smith,et al.  Epigenetic Epidemiology of Common Complex Disease: Prospects for Prediction, Prevention, and Treatment , 2010, PLoS medicine.

[22]  Martin J. Aryee,et al.  Personalized Epigenomic Signatures That Are Stable Over Time and Covary with Body Mass Index , 2010, Science Translational Medicine.

[23]  Hein Putter,et al.  Variation, patterns, and temporal stability of DNA methylation: considerations for epigenetic epidemiology , 2010, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[24]  K. Lillycrop,et al.  Nutrition, epigenetics, and developmental plasticity: implications for understanding human disease. , 2010, Annual review of nutrition.

[25]  A. Harder,et al.  Epigenetic malprogramming of the insulin receptor promoter due to developmental overfeeding , 2010, Journal of perinatal medicine.

[26]  P. Taylor,et al.  Maternal obesity during pregnancy and lactation programs the development of offspring non-alcoholic fatty liver disease in mice. , 2010, Journal of hepatology.

[27]  S. Sookoian,et al.  Methylation of TFAM gene promoter in peripheral white blood cells is associated with insulin resistance in adolescents. , 2010, Molecular genetics and metabolism.

[28]  S. Ozanne,et al.  Mechanisms involved in the developmental programming of adulthood disease. , 2010, The Biochemical journal.

[29]  A. Ferguson-Smith,et al.  Genomic imprinting effects in a compromised in utero environment: implications for a healthy pregnancy. , 2010, Seminars in cell & developmental biology.

[30]  E. Mariman,et al.  Adipocyte extracellular matrix composition, dynamics and role in obesity , 2010, Cellular and Molecular Life Sciences.

[31]  D. Kiel,et al.  Hip geometry variation is associated with bone mineralization pathway gene variants: The framingham study , 2009, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[32]  K. Thornburg,et al.  In utero life and epigenetic predisposition for disease. , 2010, Advances in genetics.

[33]  H. Putter,et al.  DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific. , 2009, Human molecular genetics.

[34]  M. Turunen,et al.  Epigenetics and atherosclerosis. , 2009, Biochimica et biophysica acta.

[35]  L. Joss-Moore,et al.  The developmental origins of adult disease , 2009, Current opinion in pediatrics.

[36]  Deliang Tang,et al.  Relation of DNA Methylation of 5′-CpG Island of ACSL3 to Transplacental Exposure to Airborne Polycyclic Aromatic Hydrocarbons and Childhood Asthma , 2009, PloS one.

[37]  S. Lewis,et al.  Body composition at age 9 years, maternal folate intake during pregnancy and methyltetrahydrofolate reductase (MTHFR) C677T genotype , 2009, British Journal of Nutrition.

[38]  S. Lewis,et al.  Methylenetetrahydrofolate Reductase (MTHFR) C677T Polymorphism Is Associated With Spinal BMD in 9‐Year‐Old Children , 2009, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[39]  R. Waterland Is Epigenetics an Important Link between Early Life Events and Adult Disease? , 2009, Hormone Research in Paediatrics.

[40]  J. Mathers,et al.  Epigenetics - potential contribution to fetal programming. , 2009, Advances in experimental medicine and biology.

[41]  Hein Putter,et al.  Persistent epigenetic differences associated with prenatal exposure to famine in humans , 2008, Proceedings of the National Academy of Sciences.

[42]  E. Susser,et al.  Genomic DNA Methylation among Women in a Multiethnic New York City Birth Cohort , 2008, Cancer Epidemiology Biomarkers & Prevention.

[43]  A. D'Angelo,et al.  Matrix metalloproteinase-2 and -9 levels in obese patients. , 2008, Endothelium : journal of endothelial cell research.

[44]  J. Baron,et al.  An imprinted gene network that controls mammalian somatic growth is down-regulated during postnatal growth deceleration in multiple organs. , 2008, American journal of physiology. Regulatory, integrative and comparative physiology.

[45]  A. Feinberg,et al.  Intra-individual change over time in DNA methylation with familial clustering. , 2008, JAMA.

[46]  Michael Papsdorf,et al.  Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant cortisol stress responses , 2008, Epigenetics.

[47]  Leena Peltonen,et al.  Global Transcript Profiles of Fat in Monozygotic Twins Discordant for BMI: Pathways behind Acquired Obesity , 2008, PLoS medicine.

[48]  G. Smith Assessing intrauterine influences on offspring health outcomes: can epidemiological studies yield robust findings? , 2008, Basic & clinical pharmacology & toxicology.

[49]  P. Taylor,et al.  Diet-Induced Obesity in Female Mice Leads to Offspring Hyperphagia, Adiposity, Hypertension, and Insulin Resistance: A Novel Murine Model of Developmental Programming , 2008, Hypertension.

[50]  G. Smith Assessing intrauterine influences on offspring health outcomes: can epidemiological findings yield robust results? , 2008 .

[51]  P. Taylor,et al.  Insulin Resistance : A Novel Murine Model of Developmental Diet-Induced Obesity in Female Mice Leads to Offspring Hyperphagia , Adiposity , 2008 .

[52]  M. Urban,et al.  Elevated matrix metalloproteinase 9 and tissue inhibitor of metalloproteinase 1 in obese children and adolescents. , 2007, Metabolism: clinical and experimental.

[53]  Ephs and Ephrins Keep Pancreatic β Cells Connected , 2007, Cell.

[54]  Ronghua Chen,et al.  Identification of differentially expressed genes in omental adipose tissues of obese patients by suppression subtractive hybridization. , 2007, Biochemical and biophysical research communications.

[55]  C. Kahn,et al.  Ephs and ephrins keep pancreatic Beta cells connected. , 2007, Cell.

[56]  R B Simerly,et al.  Developmental programming of hypothalamic feeding circuits , 2006, Clinical genetics.

[57]  A. Penman,et al.  The Changing Shape of the Body Mass Index Distribution Curve in the Population: Implications for Public Health Policy to Reduce the Prevalence of Adult Obesity , 2006, Preventing chronic disease.

[58]  M. Meaney,et al.  Environmental programming of stress responses through DNA methylation: life at the interface between a dynamic environment and a fixed genome , 2005, Dialogues in clinical neuroscience.

[59]  J. Tobias,et al.  Bone mass in childhood is related to maternal diet in pregnancy , 2005, Osteoporosis International.

[60]  H. Orimo,et al.  Functional Analysis of the Single Nucleotide Polymorphism (787T>C) in the Tissue‐Nonspecific Alkaline Phosphatase Gene Associated With BMD , 2004, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[61]  J. Knight,et al.  Allele-specific gene expression uncovered. , 2004, Trends in genetics : TIG.

[62]  José M Mato,et al.  Gene Expression Profile of Omental Adipose Tissue in Human Obesity , 2022 .

[63]  D. Barker Fetal programming of coronary heart disease , 2002, Trends in Endocrinology & Metabolism.

[64]  M. Pembrey,et al.  ALSPAC--the Avon Longitudinal Study of Parents and Children. I. Study methodology. , 2001, Paediatric and perinatal epidemiology.

[65]  J. S. Long,et al.  Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model , 2000 .

[66]  R. Nicholls The impact of genomic imprinting for neurobehavioral and developmental disorders. , 2000, The Journal of clinical investigation.

[67]  R. Cooke,et al.  Feeding Preterm Infants after Hospital Discharge: Effect of Dietary Manipulation on Nutrient Intake and Growth , 1998, Pediatric Research.

[68]  T. Guilarte,et al.  Mice lacking tissue non–specific alkaline phosphatase die from seizures due to defective metabolism of vitamin B–6 , 1995, Nature Genetics.