Project description:We analyzed the abdominal subcutaneous adipose tissue of 434 male human subjects from the METSIM study, via RNA-sequencing. The METSIM study was approved by the Ethics Committee of the University of Eastern Finland and Kuopio University Hospital in Kuopio, Finland and carried out in accordance with the Helsinki Declaration. Written informed consent was obtained from all participants. Here, we provide the expression values by gene for each subject and relevant covariates. Raw fastq files will be contributed to dbGaP, as they require controlled access.
Project description:Obesity has considerable effects on morbidity and mortality, and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue plays a central role in the development of obesity. Expression profiling of adipose tissue may give insights into the mechanisms contributing to obesity and obesity-related disorders. The Swedish Obese Subjects (SOS) Sib-Pair Study consists of 154 nuclear families with BMI-discordant sib pairs (BMI difference more than 10 kg/m2) resulting in a study population consisting of 732 subjects. The full SOS Sib-Pair study offspring cohort consists of 425 subjects. Microarray expression analysis in subcutaneous adipose tissue was performed in 375 subjects (262 women and 113 men) of the SOS Sib-Pair offspring cohort. Microarray expression analysis in subcutaneous adipose tissue was performed in women (n=262) and men (n=113) of the SOS Sib-Pair offspring cohort.
Project description:In this study, we examined the association of DNA methylation with metabolic traits in humans using adipose tissue samples from the Metabolic Syndrome in Men (METSIM) cohort. The METSIM cohort has been thoroughly characterized for longitudinal clinical data of metabolic traits including a 3-point oral glucose tolerance test, cardiovascular disorders, diabetes complications, drug and diet questionnaire, as well as high density genotyping, and genome-wide expression in adipose. We performed epigenome-wide association studies on clinical traits using reduced representation bisulfite sequencing data and identified 61 signifiant associations for metabolic syndrome traits, corresponding to 25 unique loci. These associations include previously known genes, FASN, RXRA, MSH2, and MSH6, as well as 22 loci harboring 18 new candidate genes for diabetes and obesity in humans.
Project description:We analyzed samples from 770 male human subjects who are part of the METSIM study. Ethics Committee of the Northern Savo Hospital District approved the study. All participants gave written informed consent. The population-based cross-sectional METSIM study included 10 197 men, aged from 45 to 73 years, who were randomly selected from the population register of the Kuopio town in eastern Finland (population 95000). Every participant had a 1-day outpatient visit to the Clinical Research Unit at the University of Kuopio, including an interview on the history of previous diseases and current drug treatment and an evaluation of glucose tolerance and cardiovascular risk factors. After 12 h of fasting, a 2 h oral 75 g glucose tolerance test was performed and the blood samples were drawn at 0, 30 and 120 min. Plasma glucose was measured by enzymatic hexokinase photometric assay (Konelab Systems reagents; Thermo Fischer Scientific, Vantaa, Finland). Insulin was determined by immunoassay (ADVIA Centaur Insulin IRI no. 02230141; Siemens Medical Solutions Diagnostics, Tarrytown, NY, USA). Height and weight were measured to the nearest 0.5 cm and 0.1 kg, respectively. Waist circumference (at the midpoint between the lateral iliac crest and lowest rib) and hip circumference (at the level of the trochanter major) were measured to the nearest 0.5 cm. Body composition was determined by bioelectrical impedance (RJL Systems) in subjects in the supine position.
Project description:Obesity has considerable effects on morbidity and mortality, and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue plays a central role in the development of obesity. Expression profiling of adipose tissue may give insights into the mechanisms contributing to obesity and obesity-related disorders. The Swedish Obese Subjects (SOS) Sib-Pair Study consists of 154 nuclear families with BMI-discordant sib pairs (BMI difference more than 10 kg/m2) resulting in a study population consisting of 732 subjects. The full SOS Sib-Pair study offspring cohort consists of 425 subjects. Microarray expression analysis in subcutaneous adipose tissue was performed in 375 subjects (262 women and 113 men) of the SOS Sib-Pair offspring cohort.
Project description:We performed single-nucleus RNA-seq using 10X on 84 randomly sampled participants from the METabolic Syndrome In Men (METSIM) cohort. The purpose of the study was to characterize cell type composition changes associated with metabolic diseases such as obesity and type 2 diabetes.