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Obesity related methylation changes in DNA of peripheral blood leukocytes

ABSTRACT: We performed a genome wide methylation scan using the Illumina HumanMethylation27 BeadChip on DNAs extracted from the leukocytes of 7 obese (BMI≥99th percentile for age and sex) and 7 lean (BMI≤10th percentile for age and sex) African American males aged 14-18 years.

ORGANISM(S): Homo sapiens

PROVIDER: GSE25301 | GEO | 2010/11/29

SECONDARY ACCESSION(S): PRJNA134785

REPOSITORIES: GEO

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Project description:We performed a genome wide methylation scan using the Illumina HumanMethylation27 BeadChip on DNAs extracted from the leukocytes of 7 obese (BMI?99th percentile for age and sex) and 7 lean (BMI?10th percentile for age and sex) African American males aged 14-18 years. Bisulphite converted DNA from the 14 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2

2010-11-29 | E-GEOD-25301 | biostudies-arrayexpress

A genome-wide methylation study on essential hypertension in young African American Males

2013-05-01 | GSE42774 | GEO

A genome-wide methylation study on essential hypertension in young African American Males

Project description:We performed a genome wide methylation scan using the Illumina HumanMethylation27 BeadChip on DNAs extracted from the leukocytes of 8 hypertensive cases and 8 normotensive age-matched controls. All subjects were African American males aged 14-23 years. Bisulphite converted DNA from the 16 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2

2013-05-01 | E-GEOD-42774 | biostudies-arrayexpress

Characterization of epiploic adipose tissue

Project description:In this study, different adipose tissue samples (visceral (omental), subcutaneous, epiploic) from patients with different insulin status were collected. For the proteome analyses a sub-cohort consisting of nine insulin sensitive subjects, matched to nine insulin resistant subjects by sex, age and BMI.

2022-12-13 | PXD022465 | Pride

Cross-sectional association of salivary proteins with age, sex, body mass index, smoking, and education

Project description:In a cross-sectional approach, we analyzed the influence of age, sex, body mass index (BMI), smoking, and education on salivary protein signatures in whole saliva samples of 187 individuals. Subjects were randomly selected from the population-based Study of Health in Pomerania (SHIP-Trend).

2017-05-16 | PXD006367 | Pride

Cross-sectional association of salivary proteins with age, sex, body mass index, smoking, and education

2019-03-13 | MSV000083569 | MassIVE

Transcript profiles in longissimus dorsi muscle and subcutaneous adipose tissue: A comparison of pigs with different post-weaning growth rates.

Project description:The objective of this experiment was to use transcriptional profiling of skeletal muscle and adipose tissue to develop a better understanding of the metabolic basis for poor weaned-pig transition. A total of 1,054 pigs were reared in commercial conditions and weighed at birth, weaning, and 3 weeks post- weaning. Transition average daily gain (tADG) was calculated as the average daily gain for the 3-week period post-weaning. Nine pigs from each of the lowest 10th percentile (low tADG) and the 60th-70th percentile (high tADG) were harvested at 3 weeks post-weaning. Differential expression analysis was conduced in both tissues using RNA-Seq methodology

2015-02-25 | GSE65983 | GEO

Whole-genome DNA methylation maps for human and chimpanzee peripheral blood leukocytes (PBLs).

Project description:It has been thought that epigenetic changes underlie the evolutionary divergence of phenotype between closely related species. To study differences in DNA methylation between humans and chimanzees, we collected methylated DNAs from age- and gender-matched PBL samples of the two species, and deeply sequenced. The map counts were then converted to MEDIPS scores in 100-bp bins, which are related to absolute methylation levels.

2017-01-22 | GSE64828 | GEO

Proteome and Phosphoproteome of Circulating Extracellular Vesicles in Type 1 Diabetes and Controls

Project description:This pilot study aimed to characterize the proteomic and phosphoproteomic landscape of circulating EVs in participants with established T1D (N=10) and healthy normal volunteers (Controls) (N=7) (NCT03379792) carefully matched by age, race/ethnicity, sex, and BMI. EVs were isolated using EVtrap® technology. EV proteins identified and quantified by LC-MS analysis.

2023-07-13 | PXD041899 | Pride

Exploratory research on first and second trimester urinary metabolic profiles and fetal growth restriction

Project description:From 2010 to 2012, women were recruited into The Infant Development and the Environment Study (TIDES) from obstetrical clinics affiliated with academic medical centers in four U.S. cities. Using previously collected first and second trimester urine samples from this prospective cohort of nearly 800 pregnancies, we designed a nested case control study aimed to determine whether maternal metabolic abnormalities/differences are associated with FGR. To find the patients with fetal growth restriction (FGR), we reviewed de-identified questionnaires and de-identified previously collected data, and performed a growth potential formula considering gestational age, infant gender, maternal and paternal height, and interaction of gestational age with maternal weight. Using a case:control ratio of 1:2, matched on study site, maternal age (± 2 years), parity, and infant's sex, 53 cases were matched to 106 controls for a total of 159 patients, and 318 samples (one in each ttrimester). The samples were analyses by NMR spectroscopy, using Bruker IVDr platform. Identification of FGR cases and controls: FGR cases were determined using the AUDIPOG formula for the average predicted birthweight for an infant with specific characteristics of: maternal height, age, and prenatal weight, as well as infant sex, gestational age, and birth rank. AUDIPOG formula: avg_pred_bw = 10,228066774 - 0,646727171*GA + 0,0259713417*GA² - 0,000291122*GA³ - 0,045467351*sex + 0,0606013862*rank - 0,013592585*rank² + 0,0009109473*rank³ + 0,0003976103*MA + 0,0019992269*MH + 0,0169049061*MW - 0,000171266*MW² + 5,8340462E-7*MW³ The natural logarithm of this average predicted birthweight was used with the observed birthweight to determine a z-score and percentile for each infant. If an infant fell into the 10th percentile for his or her given characteristics, then they were considered as having FGR. Otherwise they were considered in the pool of controls.

2017-03-17 | ST000573 | MetabolomicsWorkbench

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