Expression data from human adipose tissue using an expanded patient cohort
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE20950 | GEO | 2010/03/25
SECONDARY ACCESSION(S): PRJNA124435
REPOSITORIES: GEO
Similar Datasets
Project description:Obesity is a risk factor for numerous metabolic disorders; however, not all obese individuals are prone to insulin resistance. The central aim of this study was to identify molecular pathways directly related to insulin resistance independent of BMI in obesity. We sought to determine the gene expression signature of adipose tissue in a body mass index (BMI)-matched obese cohort of patients that are either insulin sensitive or insulin resistant. We determined the global gene expression signatures of omental and subcutaneous adipose tissue samples obtained from insulin-sensitive obese and insulin-resistant obese patients undergoing gastric bypass surgery. The SQ sample for Insulin Resistant Patient 6 has been removed from the study.
2010-04-07 | E-GEOD-20950 | biostudies-arrayexpress
Project description:Obesity is a risk factor for numerous metabolic disorders; however, not all obese individuals are prone to insulin resistance. The central aim of this study was to identify molecular pathways directly related to insulin resistance independent of BMI in obesity. We sought to determine the gene expression signature of adipose tissue in a body mass index (BMI)-matched obese cohort of patients that are either insulin sensitive or insulin resistant. We determined the global gene expression signatures of omental and subcutaneous adipose tissue samples obtained from insulin-sensitive obese and insulin-resistant obese patients undergoing gastric bypass surgery.
2009-04-24 | E-GEOD-15773 | biostudies-arrayexpress
Project description:Obesity is a risk factor for numerous metabolic disorders; however, not all obese individuals are prone to insulin resistance. The central aim of this study was to identify molecular pathways directly related to insulin resistance independent of BMI in obesity. We sought to determine the gene expression signature of adipose tissue in a body mass index (BMI)-matched obese cohort of patients that are either insulin sensitive or insulin resistant.
2009-04-24 | GSE15773 | GEO
Project description:Obesity is thought to contribute to worse disease outcome in breast cancer as a result of increased levels of adipocyte-secreted endocrine factors, insulin, and insulin-like growth factors (IGFs) that accelerate tumor cell proliferation and impair treatment response. We examined the effects of patient obesity on primary breast tumor gene expression, by profiling transcription of a set of tumors for which the patients’ body mass index (BMI) was ascertained. Sample profiles were stratified according to patients’ obesity phenotype defined as normal (BMI <25), overweight (BMI 25-29.9), or obese (BMI>30). Widespread alterations in gene expression were evident in breast tumors from obese patients as compared to tumors from other patients, allowing us to define an obesity-associated cancer transcriptional signature of 662 genes. Keywords: two group comparison Primary breast tumor specimens were obtained from patients. Study volunteers completed questionnaires used to define historically normal (BMI<=24.9), overweight (BMI 25-29.9), or obese (BMI>=30) patient categories according to established WHO criteria.
2011-07-17 | E-GEOD-24185 | biostudies-arrayexpress
Project description:Low-grade chronic inflammation plays an important role in the development of obesity and obesity-associated disorders such as insulin resistance, type 2 diabetes, the metabolic syndrome and atherosclerosis. One possible link between obesity and inflammation is the enhanced activation of circulating monocytes making them more prone to infiltration into the adipose and vascular tissues of obese persons. microRNAs are a class of small endogenous non-coding RNAs, which function as important regulators of inflammation by modulating gene expression. Therefore, microRNA analysis of circulating monocytes from control and obese patients will potentially provide insights into the pathophysiology of obesity and associated disorders and supply biomarkers for diagnostic purpose. The cohort comprised 6 lean age-matched controls (BMI: 20±0.8 kg/m2, mean±SEM) and 9 obese individuals without clinical symptoms of cardiovascular disease (BMI: 46±1.5 kg/m2, P<0.001 compared with lean controls). CD14+ monocytes were collected, total RNA was extracted and subjected to microRNA expression analysis. Samples consisted of CD14+ monocytes from 6 lean controls and 9 morbidly obese patients.
2012-05-17 | E-GEOD-34223 | biostudies-arrayexpress
Project description:Obesity is thought to contribute to worse disease outcome in breast cancer as a result of increased levels of adipocyte-secreted endocrine factors, insulin, and insulin-like growth factors (IGFs) that accelerate tumor cell proliferation and impair treatment response. We examined the effects of patient obesity on primary breast tumor gene expression, by profiling transcription of a set of tumors for which the patients’ body mass index (BMI) was ascertained. Sample profiles were stratified according to patients’ obesity phenotype defined as normal (BMI <25), overweight (BMI 25-29.9), or obese (BMI>30). Widespread alterations in gene expression were evident in breast tumors from obese patients as compared to tumors from other patients, allowing us to define an obesity-associated cancer transcriptional signature of 662 genes. Keywords: two group comparison
2011-07-18 | GSE24185 | GEO
Project description:Low-grade chronic inflammation plays an important role in the development of obesity and obesity-associated disorders such as insulin resistance, type 2 diabetes, the metabolic syndrome and atherosclerosis. One possible link between obesity and inflammation is the enhanced activation of circulating monocytes making them more prone to infiltration into the adipose and vascular tissues of obese persons. Furthermore, weight loss after bariatric surgery is associated with less inflammation. Transcriptome analysis of circulating monocytes from control and obese patients before and after bariatric surgery will potentially provide insights into the pathophysiology of obesity and associated disorders and supply biomarkers for diagnostic purpose. The cohort comprised 6 lean age-matched controls (BMI: 20.3±0.5 kg/m2, mean±SEM) and 18 obese individuals without clinical symptoms of cardiovascular disease (BMI: 45.1±1.4 kg/m2, P<0.001 compared with lean controls). These 18 morbidly obese subjects were referred to our hospital for bariatric surgery. Before they were included, individuals were evaluated by an endocrinologist, an abdominal surgeon, a psychologist and a dietician. Only after multidisciplinary deliberation, the selected patients received a laparoscopic Roux-en-Y gastric bypass. CD14+ monocytes were collected before and three months after bariatric surgery (BMI: 37.5±1.3 kg/m2, P<0.001 compared with before weight loss), total RNA was extracted and subjected to genome-wide expression analysis. Samples consisted of CD14+ monocytes from 6 lean controls and 18 morbidly obese patients before and three months after bariatric surgery. The 6 lean controls were also used to make 6 control pools.
2012-05-23 | E-GEOD-32575 | biostudies-arrayexpress
Project description:Low-grade chronic inflammation plays an important role in the development of obesity and obesity-associated disorders such as insulin resistance, type 2 diabetes, the metabolic syndrome and atherosclerosis. One possible link between obesity and inflammation is the enhanced activation of circulating monocytes making them more prone to infiltration into the adipose and vascular tissues of obese persons. microRNAs are a class of small endogenous non-coding RNAs, which function as important regulators of inflammation by modulating gene expression. Therefore, microRNA analysis of circulating monocytes from control and obese patients will potentially provide insights into the pathophysiology of obesity and associated disorders and supply biomarkers for diagnostic purpose. The cohort comprised 6 lean age-matched controls (BMI: 20±0.8 kg/m2, mean±SEM) and 9 obese individuals without clinical symptoms of cardiovascular disease (BMI: 46±1.5 kg/m2, P<0.001 compared with lean controls). CD14+ monocytes were collected, total RNA was extracted and subjected to microRNA expression analysis.
2012-05-18 | GSE34223 | GEO
Project description:BACKGROUND: Obesity is associated with changes in fat cell gene expression and metabolism. What drives these changes is not well understood. We aimed to explore fat cell epigenetics, i.e., DNA methylation, as one mediator of gene regulation, in obese women. The global DNA methylome for abdominal subcutaneous fat cells was compared between 15 obese case (BMI 41.4?±?4.4 kg/m(2), mean?±?SD) and 14 never-obese control women (BMI 25.2?±?2.5 kg/m(2)). Global array-based transcriptome analysis was analyzed for subcutaneous white adipose tissue (WAT) from 11 obese and 9 never-obese women. Limma was used for statistical analysis. RESULTS: We identified 5529 differentially methylated DNA sites (DMS) for 2223 differentially expressed genes between obese cases and never-obese controls (false discovery rate <5 %). The 5529 DMS displayed a median difference in beta value of 0.09 (range 0.01 to 0.40) between groups. DMS were under-represented in CpG islands and in promoter regions, and over-represented in open sea-regions and gene bodies. The 2223 differentially expressed genes with DMS were over-represented in key fat cell pathways: 31 of 130 (25 %) genes linked to "adipogenesis" (adjusted P?=?1.66?×?10(-11)), 31 of 163 (19 %) genes linked to "insulin signaling" (adjusted P?=?1.91?×?10(-9)), and 18 of 67 (27 %) of genes linked to "lipolysis" (P?=?6.1?×?10(-5)). In most cases, gene expression and DMS displayed reciprocal changes in obese women. Furthermore, among 99 candidate genes in genetic loci associated with body fat distribution in genome-wide association studies (GWAS); 22 genes displayed differential expression accompanied by DMS in obese versus never-obese women (P?=?0.0002), supporting the notion that a significant proportion of gene loci linked to fat distribution are epigenetically regulated. CONCLUSIONS: Subcutaneous WAT from obese women is characterized by congruent changes in DNA methylation and expression of genes linked to generation, distribution, and metabolic function of fat cells. These alterations may contribute to obesity-associated metabolic disturbances such as insulin resistance in women.
2017-02-09 | GSE24884 | GEO
Project description:Low-grade chronic inflammation plays an important role in the development of obesity and obesity-associated disorders such as insulin resistance, type 2 diabetes, the metabolic syndrome and atherosclerosis. One possible link between obesity and inflammation is the enhanced activation of circulating monocytes making them more prone to infiltration into the adipose and vascular tissues of obese persons. Furthermore, weight loss after bariatric surgery is associated with less inflammation. Transcriptome analysis of circulating monocytes from control and obese patients before and after bariatric surgery will potentially provide insights into the pathophysiology of obesity and associated disorders and supply biomarkers for diagnostic purpose. The cohort comprised 6 lean age-matched controls (BMI: 20.3±0.5 kg/m2, mean±SEM) and 18 obese individuals without clinical symptoms of cardiovascular disease (BMI: 45.1±1.4 kg/m2, P<0.001 compared with lean controls). These 18 morbidly obese subjects were referred to our hospital for bariatric surgery. Before they were included, individuals were evaluated by an endocrinologist, an abdominal surgeon, a psychologist and a dietician. Only after multidisciplinary deliberation, the selected patients received a laparoscopic Roux-en-Y gastric bypass. CD14+ monocytes were collected before and three months after bariatric surgery (BMI: 37.5±1.3 kg/m2, P<0.001 compared with before weight loss), total RNA was extracted and subjected to genome-wide expression analysis.
2012-05-24 | GSE32575 | GEO