Dataset Information

Potential Epigenetic Biomarkers of Obesity Related Insulin Resistance in Human Whole Blood

ABSTRACT: Obesity is a critical health concern, and identifying new biomarkers has become essential for better understanding the progression to disease such as type 2 diabetes. DNA methylation has become a useful epigenetic biomarker in part due to its susceptibility to disease influence. Detecting methylation changes in blood is important as it is an easily accessible, compared to the insulin responsive tissue skeletal muscle. The aim of our study was to identify methylation changes in whole blood that were strongly associated with obesity associated insulin resistance. Whole blood was obtained from lean (n=10; BMI= 23.6±0.7 kg/m2) and obese (n=10; BMI= 34.4±1.3 kg/m2) participants in combination with euglycemic hyperinsulinemic clamps to assess insulin sensitivity. We performed the next generation technique, reduced representation bisulfite sequencing (RRBS) on isolated genomic DNA. There were 49 significantly altered differentially methylated cytosines (DMCs; q<0.05). Of these, solute carrier family 19 member 1 (SLC19A1) was also identified using a differentially methylated region approach. The sites for this gene were significantly correlated (P<0.05) with body mass index, body fat percent, and the clamp Rd. Moreover, the decrease in SLC19A1 methylation was similar to the change previously found in skeletal muscle. Pyrosequencing confirmed the changes in methylation at Chr.21:46,957,915 in both tissues. These results demonstrate that the methylation status of SLC19A1 provides a new potential epigenetic biomarker for obesity related insulin resistance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE85928 | GEO | 2016/10/01

SECONDARY ACCESSION(S): PRJNA339792

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Epigenetics presents a dynamic approach to assess complex individual variation in obesity susceptibility. However, few studies have examined epigenetic patterns in preschool-age children, despite the relevance of this developmental stage to trajectories of weight gain, because of difficulties obtaining blood tissue samples. This proof of principle study examined DNA methylation in 92 saliva samples, comparing Latino preschool children of normal weight mothers (Body Mass Index [BMI] <27 kg/m2 and WC <90 cm) to children of obese mothers (BMI >30 kg/m2 and WC >100 cm). We hypothesized that salivary DNA methylation patterns in Latino preschool age children born of normal weight vs obese weight mothers would be: 1) associated with maternal BMI phenotype in continuous linear regression analysis; 2) saliva could demonstrate epigenetic variation across individuals; and 3) preschool child saliva would be differentially methylated when comparing those children with obese versus normal weight mothers. One hundred and nineteen CpG sites were significantly (p-value <1.56 X 10-5, p-value adjusted <.05) associated with maternal BMI in linear regression models controlling for childâs age, gender, and BMI. Of these 119 CpG sites, 41 were found within the transcription start site, 5â UTR, 3â UTR, or another regulatory region outside of the gene body. Saliva, a practical human tissue to obtain in naturalistic settings and in pediatric populations, was confirmed to be a viable medium for genome-wide epigenetic testing with maternal weight. Although not identical to results yielded from other human tissue types (i.e., cord blood samples), saliva findings indicate potential epigenetic differences in Latino preschool children at risk for pediatric obesity. This proof of principle study examined DNA methylation in 92 saliva samples, comparing Latino preschool children of normal weight mothers (Body Mass Index [BMI] <27 kg/m2 and WC <90 cm) to children of obese mothers (BMI >30 kg/m2 and WC >100 cm). Antropometry was measured objectively according to a standardized protocol.Saliva from preschool Latino children at risk for obesity (BMI>50% < 95% participating in WIC/SNAP programs) was collected using the Oragene DNA saliva kit following a strict data collection protocol. DNA extraction was performed as per DNA Genotek's recommendations using the PrepIT L2P reagent. Extracted DNA was stored in individually barcoded cryovials at â80 degrees Fahrenheit. For children, saliva was obtained using the âbaby brushâ approach, in which small sponges attached to plastic handles are inserted between cheek and gumline to absorb saliva .Arrays were processed using standard protocol [34], with 3 samples randomly selected to serve as duplicates and 1 sample run with HapMap DNA to test functionality of reagents. Duplicates were measured for high technique consistency with Pearson correlation coefficient (>.99). Methylation data were quality controlled using Illumina GenomeStudio (V2011.1), Methylation module (V1.9.0). Samples with lower than 98% call rate (i.e. <485,000 probes) were excluded. Any non-specific cross-reacting probes, probes carrying common SNPs (MAF >1%), or any probes with p-values greater than 0.05 for more than 20% of the sample were sequentially excluded. Validation via pyrosequencing was conducted.

Dataset Information

Potential Epigenetic Biomarkers of Obesity Related Insulin Resistance in Human Whole Blood

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure