Project description:Age-related changes in DNA methylation occurring in blood leukocytes during early childhood may reflect epigenetic maturation. We hypothesized that some of these changes involve gene networks of critical relevance in leukocyte biology and conducted a prospective study to elucidate the dynamics of DNA methylation. Serial blood samples were collected at 3, 6, 12, 24, 36, 48 and 60 months after birth in 10 healthy girls born in Finland and participating in the Type 1 Diabetes Prediction and Prevention Study. DNA methylation was measured using the HumanMethylation450 BeadChip. After filtering for the presence of polymorphisms and cell-lineage-specific signatures, 794 CpGs showed significant DNA methylation differences as a function of age in all children (41.5% age-methylated and 58.4% age-demethylated, bonferroni corrected p-value <0.001). Age-methylated CpGs were more frequently located in gene bodies and within +5 to +50 kilobases (kb) of transcription start sites (TSS), and enriched in developmental, neuronal and plasma membrane genes. Age-demethylated CpGs were associated to promoters and DNAse-I hypersensitivity sites, located within -5 to +5 kb of the nearest TSS, and enriched in genes related to immunity, antigen presentation, the polycomb-group protein complex and cytoplasm. This study reveals that susceptibility loci for complex inflammatory diseases (e.g. IRF5, NOD2, PTGER4) and genes encoding histone modifiers and chromatin remodeling factors (e.g. HDAC4, KDM2A, KDM2B, JARID2, ARID3A, SMARCD3) undergo DNA methylation changes in leukocytes during early childhood. These results open new perspectives to understand leukocyte maturation and provide a catalog of CpGs that may need to be corrected for age effects when performing DNA methylation studies in children. We analysed the longitudinal changes in DNA methylation in a total of 60 samples at 3, 6, 12, 24, 36, 48, and 60 months after birth, using serial DNA samples extracted from peripheral blood leukocytes of 10 healthy girls of the Diabetes Prediction and Prevention Study (DIPP).
Project description:Background: Early life epigenetic programming influences adult health outcomes. Moreover, DNA methylation levels have been found to change more rapidly during the first years of life. Our aim was the identification and characterization of the CpG sites that are modified with time during the first years of life. We hypothesize that these DNA methylation changes would lead to the detection of genes that might be epigenetically modulated by environmental factors during early childhood and which, if disturbed, might contribute to susceptibility to diseases later in life. Methods: The study of the DNA methylation pattern of 485577 CpG sites was performed on 30 blood samples from 15 subjects, collected both at birth and at 5 years old, using Illumina® Infinium 450 k array. To identify differentially methylated CpG (dmCpG) sites, the methylation status of each probe was examined using linear models and the Empirical Bayes Moderated t test implemented in the limma package of R/Bioconductor. Surogate variable analysis was used to account for batch effects. Results: DNA methylation levels significantly changed from birth to 5 years of age in 6641 CpG sites. Of these, 36.79 % were hypermethylated and were associated with genes related mainly to developmental ontology terms, while 63.21 % were hypomethylated probes and associated with genes related to immune function. Conclusions: Our results suggest that DNA methylation alterations with age during the first years of life might play a significant role in development and the regulation of leukocyte-specific functions. This supports the idea that blood leukocytes experience genome remodeling related to their interaction with environmental factors, underlining the importance of environmental exposures during the first years of life and suggesting that new strategies should be take into consideration for disease prevention. Longitudinal study including 15 samples
Project description:There is increasing evidence that metabolic diseases originate in early life, and epigenetic changes have been implicated as key drivers of this early life programming. This led to the hypothesis that epigenetic marks present at birth may predict an individual’s future risk of obesity and type 2 diabetes. In this study, we assessed whether epigenetic marks in blood of newborn children were associated with BMI and insulin sensitivity later in childhood. DNA methylation was measured in neonatal blood spot samples of 439 children using the Illumina Infinium 450k BeadChip. Associations were assessed between DNA methylation at birth and BMI z-scores, body fat mass, fasting plasma glucose, insulin and HOMA-IR at age 5 years, as well as birthweight, maternal BMI and smoking status. No individual methylation sites at birth were associated with obesity or insulin sensitivity measures at 5 years. DNA methylation in 69 genomic regions at birth was associated with BMI z-scores at age 5 years, and in 63 regions with HOMA-IR. The methylation changes were generally small (<5%), except for a region near the non-coding RNA nc886 (VTRNA2-1) where a clear link between methylation status at birth and BMI in childhood was observed (P=0.001). Associations were also found between DNA methylation, maternal smoking, and birth weight. We identified a number of DNA methylation regions at birth that were associated with obesity or insulin sensitivity measurements in childhood. These findings support the mounting evidence on the role of epigenetics in programming of metabolic health. Whether many of these small changes in DNA methylation are causally related to the health outcomes, and of clinical relevance, remains to be determined, but the nc886 region represents a promising obesity risk marker that warrants further investigation.
Project description:Age-related changes in DNA methylation occurring in blood leukocytes during early childhood may reflect epigenetic maturation. We hypothesized that some of these changes involve gene networks of critical relevance in leukocyte biology and conducted a prospective study to elucidate the dynamics of DNA methylation. Serial blood samples were collected at 3, 6, 12, 24, 36, 48 and 60 months after birth in 10 healthy girls born in Finland and participating in the Type 1 Diabetes Prediction and Prevention Study. DNA methylation was measured using the HumanMethylation450 BeadChip. After filtering for the presence of polymorphisms and cell-lineage-specific signatures, 794 CpGs showed significant DNA methylation differences as a function of age in all children (41.5% age-methylated and 58.4% age-demethylated, bonferroni corrected p-value <0.001). Age-methylated CpGs were more frequently located in gene bodies and within +5 to +50 kilobases (kb) of transcription start sites (TSS), and enriched in developmental, neuronal and plasma membrane genes. Age-demethylated CpGs were associated to promoters and DNAse-I hypersensitivity sites, located within -5 to +5 kb of the nearest TSS, and enriched in genes related to immunity, antigen presentation, the polycomb-group protein complex and cytoplasm. This study reveals that susceptibility loci for complex inflammatory diseases (e.g. IRF5, NOD2, PTGER4) and genes encoding histone modifiers and chromatin remodeling factors (e.g. HDAC4, KDM2A, KDM2B, JARID2, ARID3A, SMARCD3) undergo DNA methylation changes in leukocytes during early childhood. These results open new perspectives to understand leukocyte maturation and provide a catalog of CpGs that may need to be corrected for age effects when performing DNA methylation studies in children.
Project description:Background: Early life epigenetic programming influences adult health outcomes. Moreover, DNA methylation levels have been found to change more rapidly during the first years of life. Our aim was the identification and characterization of the CpG sites that are modified with time during the first years of life. We hypothesize that these DNA methylation changes would lead to the detection of genes that might be epigenetically modulated by environmental factors during early childhood and which, if disturbed, might contribute to susceptibility to diseases later in life. Methods: The study of the DNA methylation pattern of 485577 CpG sites was performed on 30 blood samples from 15 subjects, collected both at birth and at 5 years old, using Illumina® Infinium 450 k array. To identify differentially methylated CpG (dmCpG) sites, the methylation status of each probe was examined using linear models and the Empirical Bayes Moderated t test implemented in the limma package of R/Bioconductor. Surogate variable analysis was used to account for batch effects. Results: DNA methylation levels significantly changed from birth to 5 years of age in 6641 CpG sites. Of these, 36.79 % were hypermethylated and were associated with genes related mainly to developmental ontology terms, while 63.21 % were hypomethylated probes and associated with genes related to immune function. Conclusions: Our results suggest that DNA methylation alterations with age during the first years of life might play a significant role in development and the regulation of leukocyte-specific functions. This supports the idea that blood leukocytes experience genome remodeling related to their interaction with environmental factors, underlining the importance of environmental exposures during the first years of life and suggesting that new strategies should be take into consideration for disease prevention.
Project description:Genome-wide DNA methylation profiling of DNA extracted from dried blood spots from preterm and term subjects using longitudinal samples collected at birth and 18 years of age. Infinium HM450 arrays were used to measure methylation at 347,789 autosomal CpGs. DNA was analysed from individuals at birth and 18-years and included 12 preterm and 12 term controls.
Project description:Genome-wide DNA methylation profiling of DNA extracted from dried blood spots from preterm and term subjects using longitudinal samples collected at birth and 18 years of age. Infinium HM450 arrays were used to measure methylation at 347,789 autosomal CpGs. DNA was analysed from individuals at birth and 18-years and included 12 preterm and 12 term controls. Bisulphite converted DNA from the 48 samples were hybridised to the Illumina Infinium 450K Human Methylation Beadchip
Project description:Genome-wide DNA methylation profiling of venous blood samples from children in the Eastern Democratic Republic of Congo from birth to age three. DNA methylation data were noob normalized and uploaded to Steve Horvath's epigenetic age calculator website to calculate Horvath epigenetic age acceleration for each participant at each timepoint for which they had data available. Replicates were averaged and a single outlier at birth was removed as described in the manuscript, leaving 155 observations from 67 unique individuals. Sample size at each timepoint was as follows: n = 64 at birth, n = 8 at six months, n= 35 at one year, n = 32 at two years, and n = 16 at three years.
Project description:The objectives of this study were 2-fold: 1) to compare the expression profiles at specific ages of blood leukocytes from foals stimulated with virulent R. equi with those of unstimulated leukocytes; and, 2) to characterize the age-related changes in the gene expression profile associated with blood leukocytes in response to stimulation with virulent R. equi. Peripheral blood leukocytes were obtained from 6 foals within 24 hours (h) of birth (day 1) and 2, 4, and 8 weeks after birth. The samples were split, such that half were stimulated with live virulent R. equi, and the other half served as unstimulated control. For one hyb design: we hybridized 6 samples stimulated and 6 unstimulated at each time point (30 mL of blood was treated with live virulent R. equi (Strain ATCC 33701) and the remaining 30 mL of blood with PBS ). For time course: 6 samples from day1 stimulated hybridized to week2 stimulated; day1 stimulated hyb to week 4 stimulated and day1 stimulated hyb to week8 stimulated. RNA was extracted and the generated cDNA was labeled with fluorescent dyes for microarray hybridizations using an equine microarray.
Project description:Evidence is accumulating that nutritional exposures in utero can influence health outcomes in later life. Animal studies and human epidemiological studies have implicated epigenetic modifications as playing a key role in this process, but there are limited data from large well-controlled human intervention trials. This study utilised a large double-blind randomized placebo-controlled trial to test whether a defined nutritional exposure in utero, in this case docosahexaenoic acid (DHA), could alter the infant epigenome. Pregnant mothers consumed DHA-rich fish oil (800 mg DHA/d) or placebo supplements from 20 weeks’ gestation to delivery. Blood spots were collected from the children at birth (n=991) and blood leukocytes at 5 years (n=667). Global DNA methylation was measured in all samples and Illumina HumanMethylation450K BeadChip arrays were used for genome-wide methylation profiling in a subset of 369 children at birth and 65 children at 5 years. There were no differences in global DNA methylation levels between the DHA and control group either at birth or at 5 years, but we identified 21 differentially methylated regions (DMRs) at birth, showing small DNA methylation differences (<5%) between the treatment groups, some of which seemed to persist until 5 years. The number of DMRs at birth was greater in males (127 DMRs) and in females (72 DMRs) separately, indicating a gender-specific effect. In conclusion, maternal DHA supplementation during the second half of pregnancy had small effects on DNA methylation of infants. While the potential functional significance of these changes remains to be determined, these findings further support the role of epigenetic modifications in developmental programming in humans, and points the way for future studies.