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Gastric Bypass Human Obese Muscle

ABSTRACT: Obesity results from a chronic imbalance between energy intake and energy expenditure, with excess calories stored as fat. As such, weight loss has long been considered as a primary goal of treatment for obesity. A surgical treatment of severe obesity such as gastric bypass provides the most dramatic reductions in body weight, and a well-known effect of weight loss is an improvement in insulin sensitivity. However, the molecular mechanism underlying this association remains unclear. Thus, we profiled skeletal muscle of morbidly obese patients before and after gastric bypass surgery. Results from this project will provide global patterns of gene expression with weight loss, which help to understand the pathogenesis of obesity at the molecular level. Keywords: Time-Series

ORGANISM(S): Homo sapiens

PROVIDER: GSE5109 | GEO | 2006/06/20

SECONDARY ACCESSION(S): PRJNA95373

REPOSITORIES: GEO

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Transcription profiling of human skeletal muscle from morbidly obese patients before and after gastric bypass surgery to identify genes responsive to weight loss.

Project description:Obesity results from a chronic imbalance between energy intake and energy expenditure, with excess calories stored as fat. As such, weight loss has long been considered as a primary goal of treatment for obesity. A surgical treatment of severe obesity such as gastric bypass provides the most dramatic reductions in body weight, and a well-known effect of weight loss is an improvement in insulin sensitivity. However, the molecular mechanism underlying this association remains unclear. Thus, we profiled skeletal muscle of morbidly obese patients before and after gastric bypass surgery. Results from this project will provide global patterns of gene expression with weight loss, which help to understand the pathogenesis of obesity at the molecular level. Experiment Overall Design: To identify responsive genes to weight loss.

2007-10-26 | E-GEOD-5109 | biostudies-arrayexpress

Global Transcriptional Profiling of Women Following Roux-en-Y Gastric Bypass

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Transcription profiling of rats subjected to Roux-en-Y gastruc bypass to characterize of weight loss and weight regain mechanisms

Project description:Roux-en-Y gastric bypass (RYGB) is the most effective therapy for morbid obesity, but it has a ~20% failure rate. We used our established RYGB model in diet-induced obese (DIO) Sprague-Dawley rats, which reproduces human bi-phasic body weight (BW) loss pattern, to determine mechanisms contributing to success (RGYB-S) or failed (RYGB-F) RYGB. DIO rats were randomized to RYGB, sham operated Obese, and sham operated obese pair fed-linked to RYGB (PF) groups. BW, caloric intake (CI) and fecal output (FO) were recorded daily for 90 days, food efficiency (FE) was calculated, and morphologic changes were determined. Gut, adipose and thyroid hormones were measured in plasma. Mitochondrial respiratory complexes in skeletal muscle, expression of energy-related hypothalamic and fat peptides, receptors and enzymes were quantified. A 25% failure rate occurred. RYGB-S, RYGB-F and PF rats vs. Obese showed rapid BW decrease, followed by sustained BW loss in RYGB-S. RYGB-F and PF gradually increased BW. Expression profiling of both CNS (hypothalamus) and peripheral tissues (subcutaneous abdominal fat) strongly supported the involvement of a number of metabolic and feeding-related genes in the differential outcomes. Experiment Overall Design: 3 biological replicate RNA samples were prepared from 2 tissues (the subcutaneous abdominal fat or the hypothalamus) from rats in 3 treatment groups (rats losing weight successfully after gastric bypass surgery, rats gaining weight, and rats that were fed the same amount as the treated rats)

2008-06-16 | E-GEOD-8314 | biostudies-arrayexpress

Systems Signature Reveals Unique Remission-path of Diabetes Generated by Gastric Bypass Surgery

Project description:Gastric bypass surgery (GBP) emerging as a powerful tool for treatment of obesity has been applied for remission of diabetes. However, the GBP global molecular effects on diabetes remission independent of weight loss remain largely unknown. We profiled plasma metabolites and proteins of 10 normoglycemic obese (NO) and 9 diabetic obese (DO) patients at 1-week, 3-months and 1-year stages after Roux-en-Y gastric bypass (RYGB) as well pre-RYGB stage, by which 146 proteins and 128 metabolites were detected from both NO and DO groups at all four stages. By analyzing a set of bi-molecular associations among the corresponding network of the subjects with our newly developed computational method, we defined the representing physiological states (called the edge-states, in contrast to the traditional node-states) and the related molecular networks of NO and DO patients, respectively. The PCA results and hubnetworks of NO subjects were significantly different from those of DO patients; particularly, the hub-network rearrangement of both groups differentially went through after RYGB. In conclusion, by developing network-based systems signatures rather than relying on individual molecules, we for the first time reveal that RYGB generates a unique recovering-path for diabetes remission independent of weight loss.

2017-12-13 | PXD008071 | Pride

Expression profile of liver samples from subjects at the time of Roux en Y gastric bypass surgery.

Project description:To map the genetics of gene expression in metabolically relevant tissues and investigate the diversity of expression SNPs (eSNPs) in multiple tissues from the same individual, we collected four tissues from approximately 1,000 patients undergoing Roux-en-y gastric bypass and clinical traits associated with their weight loss and co-morbidities. We then performed high-throughput genotyping and gene expression profiling and carried out a genome-wide association analyses for more than one hundred thousand gene expression traits representing four metabolically relevant tissues; liver, omental adipose, subcutaneous adipose and stomach. We successfully identified 24,531 eSNPs corresponding to ~10,000 distinct genes. This represents the greatest number of eSNPs identified to our knowledge by any study to date and the first study to identify eSNPs from stomach tissue. We then demonstrate how these eSNPs provide a high quality disease map for each tissue in morbidly obese patients to not only inform genetic associations indentified in this cohort, but in previously published genome wide association studies as well. eSNPs and gene co-expression modules identification in morbidly obese patients represent a great resource that will aid in elucidating the key networks associated with morbid obesity, response to RYGB and disease as a whole. Keywords: Tissue profiling in a human cohort.

2011-04-01 | GSE24293 | GEO

Expression profile of omental adipose samples from subjects at the time of Roux en Y gastric bypass surgery.

2011-04-01 | GSE24294 | GEO

Expression profile of subcutaneous adipose samples from subjects at the time of Roux en Y gastric bypass surgery.

Project description:To map the genetics of gene expression in metabolically relevant tissues and investigate the diversity of expression SNPs (eSNPs) in multiple tissues from the same individual, we collected four tissues from approximately 1,000 patients undergoing Roux-en-y gastric bypass and clinical traits associated with their weight loss and co-morbidities. We then performed high-throughput genotyping and gene expression profiling and carried out a genome-wide association analyses for more than one hundred thousand gene expression traits representing four metabolically relevant tissues; liver, subcutaneous adipose, omental adipose and stomach. We successfully identified 24,531 eSNPs corresponding to ~10,000 distinct genes. This represents the greatest number of eSNPs identified to our knowledge by any study to date and the first study to identify eSNPs from stomach tissue. We then demonstrate how these eSNPs provide a high quality disease map for each tissue in morbidly obese patients to not only inform genetic associations indentified in this cohort, but in previously published genome wide association studies as well. eSNPs and gene co-expression modules identification in morbidly obese patients represent a great resource that will aid in elucidating the key networks associated with morbid obesity, response to RYGB and disease as a whole. Keywords: Tissue profiling in a human cohort.

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2012-05-23 | E-GEOD-32575 | biostudies-arrayexpress

miRNA profiling by array of human paired adipose tissue (subcutaneous and omentum) before and after gastric-bypass and weight loss

Project description:Objective: Adipose tissue plays a key role in obesity related metabolic dysfunction. MicroRNA (miRNA) are gene regulatory molecules involved in inter-cellular and inter-organ communication. We hypothesised that miRNA levels in adipose tissue would change after gastric bypass surgery and that this would provide insights into their role in obesity-induced metabolic dysregulation. Methods: miRNA-profiling (Affymetrix_Gene-Chip_miRNA2.0_Arrays) of omental and subcutaneous adipose (n=15 females) before, and after, gastric bypass surgery. Results: One omental, and thirteen subcutaneous adipose miRNAs were significantly, differentially expressed after gastric bypass, including down-regulation of miR-223-3p and its antisense relative, miR-223-5p, in both adipose tissues. mRNA levels of miR-223-3p targets NLRP3 and GLUT4 were increased and decreased respectively following gastric bypass in both adipose tissues. Significantly more NLRP3 protein was observed in omental adipose after gastric bypass (P=0.02). Significant hypomethlyation of NLRP3 and hypermethylation of miR-223 was observed in both adipose tissues after gastric bypass. In subcutaneous adipose significant correlations were observed between both miR-223-3p and miR-223-5p and glucose, and between NLRP3 mRNA and protein levels and blood lipids. Conclusions: This is the first report detailing genome-wide miRNA-profiling of omental adipose before and after gastric bypass, and further highlights a link between miR-223-3p and the NLRP3 inflammasome in obesity.

2019-12-16 | E-MTAB-8594 | biostudies-arrayexpress

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